DeepCura is transforming patient care with its innovative note collaboration feature. This tool allows healthcare providers to easily share, edit, and track patient notes, enhancing collaboration and ensuring continuity of care. With advanced AI capabilities and seamless integration with major Electronic Health Record (EHR) systems, DeepCura is setting a new standard in clinical documentation and patient management. Key Takeaways DeepCura's note collaboration feature simplifies sharing and editing patient notes among healthcare providers. The platform ensures all changes are tracked, making it easy to see who made edits and what was changed. DeepCura prioritizes data security and compliance, adhering to HIPAA standards and providing enterprise-grade security features. Enhancing Collaboration Among Healthcare Providers Sharing Patient Notes with Ease DeepCura's note collaboration feature makes it simple for healthcare providers to share patient notes. This feature allows seamless sharing of notes with medical assistants, scribes, administrators, and other colleagues. By just entering an email, you can invite others to view or edit notes, ensuring everyone involved in a patient's care is on the same page. Granting Edit and View Access With DeepCura, you can control who can edit or just view the notes. This flexibility is crucial for maintaining accurate and up-to-date patient records. For instance, a nurse can add a patient's date of birth or medical record number if the initial note creator didn't have that information. This interprofessional collaboration enhances the quality of care provided. Tracking Edits and Changes DeepCura also tracks all edits and changes made to patient notes. This feature ensures transparency and accountability, as every modification is logged and visible to all collaborators. If someone removes your access, you will no longer see the note, maintaining strict control over patient information. This tracking system supports enhanced communication and teamwork among healthcare providers. Streamlined Communication for Patient Referrals Simplifying the Referral Process DeepCura's note collaboration feature makes referring patients to specialists straightforward. Healthcare providers can share patient notes instantly, ensuring that all relevant information is available. This seamless communication is crucial for maintaining high-quality care. Ensuring Data Security and Compliance HIPAA Compliance DeepCura is fully HIPAA-compliant , ensuring that all patient data is handled with the utmost care and confidentiality. This compliance is crucial for maintaining patient trust and meeting regulatory requirements. Enterprise-Grade Security DeepCura employs enterprise-grade security measures to protect sensitive healthcare data. These measures include advanced encryption, secure access controls, and regular security audits to prevent unauthorized access and data breaches. Audit Trails and Access Logs To maintain transparency and accountability, DeepCura provides comprehensive audit trails and access logs. These features allow healthcare organizations to track who accessed or modified patient records, ensuring that all actions are documented and traceable. Real-World Applications and Success Stories Impact on Patient Care The impact of DeepCura on patient care is profound. By streamlining workflows and automating routine tasks, clinicians can spend more time with their patients. This not only improves patient satisfaction but also enhances the quality of care. For example, a clinic using DeepCura noted a significant improvement in patient outcomes, particularly in managing chronic conditions like diabetes and hypertension. User Testimonials Healthcare professionals across the globe have praised DeepCura for its efficiency and ease of use. One user mentioned, "DeepCura has transformed the way we handle patient notes. The ability to share and edit notes in real-time has made our team more cohesive and efficient." Another user highlighted the platform's ability to integrate with existing systems, saying, "The seamless integration with our EHR system has been a game-changer for our practice. Conclusion In conclusion, DeepCura's note collaboration feature is a game-changer for healthcare professionals. It makes sharing and editing patient notes with colleagues easy and efficient. By simply entering an email, users can share notes and even allow others to edit them. This feature ensures that all changes are tracked, making it perfect for seamless communication and collaboration. With DeepCura, healthcare providers can focus more on patient care and less on administrative tasks. This tool is a step forward in making healthcare more connected and efficient. Frequently Asked Questions How do I share patient notes with colleagues using DeepCura? You can share patient notes by entering your colleague's email, selecting the note(s) you want to share and selecting if you want to give them view only or view and edit access. The recipient will get a request to access the note and can view it in their patient notes section upon acceptance. Can I give edit access to my colleagues on DeepCura? Yes, you can provide your colleagues with edit or view access. This allows them to make changes to existing notes or create new ones within the same thread. How does DeepCura track edits and changes? DeepCura tracks all edits made by collaborators. You can view the history of changes, including what was altered and who made the edit, by clicking the first icon at the top right corner of each note. Is DeepCura compliant with HIPAA regulations? Yes, DeepCura is fully HIPAA-compliant, ensuring that all patient data is handled securely and in accordance with regulatory standards. What AI features does DeepCura offer? DeepCura offers AI-assisted differential diagnosis, customizable clinical note generation, and integration with major EHR systems. It also includes features like automated clinical workflows and an AI nurse copilot. How does DeepCura help in improving patient referrals? DeepCura simplifies the referral process by allowing easy sharing of patient notes and ensuring continuity of care, which helps in improving patient outcomes.

In the fast-evolving world of telehealth, ensuring smooth and efficient interactions between patients and providers is crucial. DeepCura's integration with Cal.com offers a seamless solution for scheduling, documentation, and overall patient management. This article explores how this integration enhances the telehealth experience for both patients and healthcare providers. Key Takeaways DeepCura and Cal.com integration simplifies telehealth scheduling with customizable booking questions and HIPAA compliance. Automated reminders and notifications keep both patients and providers on track, reducing missed appointments. Pre-visit forms and automated note generation streamline patient intake and documentation processes. Enhanced communication channels and personalized patient interactions improve overall patient engagement and satisfaction. Enhancing Telehealth Scheduling with DeepCura and Cal.com Customizable Booking Questions DeepCura and Cal.com make it easy to set up customizable booking questions for patients. This feature allows healthcare providers to gather essential information before the appointment. You can add questions about medical history, insurance details, or any other relevant information. This guarantees that both the patient and provider are adequately prepared for the appointment, whether it occurs in person or through telehealth. HIPAA Compliance and Security Security is always top priority. DeepCura and Cal.com are fully HIPAA compliant, ensuring that all patient data is protected. This compliance gives both patients and providers peace of mind, knowing that their information is secure. Automated Reminders and Notifications Automated reminders and notifications are a key feature of the DeepCura and Cal.com integration. Patients can receive reminders about their upcoming appointments via SMS or email, reducing the chances of missed appointments. Providers also get notifications, helping them manage their schedules more efficiently. Streamlined Patient Intake and Documentation Pre-Visit Forms Integration Integrating pre-visit forms into the telehealth workflow is a game-changer. Patients can fill out necessary forms online before their appointment, saving time for both parties. This enhances efficiency and ensures that all required information is collected beforehand. The integration also allows for customizable questions, making it easier to gather specific data relevant to each patient's condition. Automated Note Generation The automatic creation of notes is yet another important aspect. The note produced automatically upon patient booking can be utilized by the AI when you create your visit note on DeepCura, thereby consolidating all essential context in one location effortlessly. This not only cuts down on the time dedicated to documentation but also decreases the likelihood of errors. Improving Provider Efficiency Reducing Administrative Burden By automating routine tasks, DeepCura and Cal.com help healthcare professionals focus more on patient care. This reduces the time spent on paperwork and administrative duties. Automated scheduling and reminders Streamlined patient intake Efficient documentation processes Seamless EHR Integration DeepCura integrates smoothly with major EHR systems, ensuring that all patient data is synchronized in real-time. This integration eliminates the need for manual data entry, reducing errors and saving time. Automated Payments You can integrate Cal.com with Stripe to automate payments. This integration not only streamlines the payment process but also enhances the overall user experience, allowing for quicker transactions and improved cash flow for healthcare providers. Patient Experience and Engagement Simplified Appointment Booking Booking an appointment has never been easier with the integration of DeepCura and Cal.com. Patients can now schedule their telehealth visits with just a few clicks. The system reads your availability from all your existing calendars, ensuring you never get double-booked. This seamless process significantly enhances patient satisfaction and engagement. Personalized Patient Interactions DeepCura's AI capabilities allow for highly customizable patient interactions. From pre-visit forms to personalized follow-up messages, every step is tailored to meet the unique needs of each patient. This level of customization ensures that patients feel valued and understood, which is crucial for maintaining high levels of engagement. Enhanced Communication Channels Communication between patients and providers is streamlined through multiple channels, including SMS and email reminders via Cal.com. These automated notifications ensure that patients are well-informed about their appointments and any necessary preparations. This not only improves the overall patient experience but also reduces no-show rates, making the healthcare process more efficient for everyone involved. Advanced Features of DeepCura and Cal.com Integration AI-Powered Clinical Documentation DeepCura offers an advanced AI medical scribe solution designed for healthcare professionals. This feature includes automated and customizable clinical note generation, AI-assisted differential diagnosis, and seamless integration with major EHR systems. The platform supports various media inputs, from voice recordings to PDFs, and offers tools for bulk document summarization, AI-driven patient management, and telehealth support. Enterprise-Grade Security Security is a top priority for both DeepCura and Cal.com. The integration ensures that all patient data is encrypted and stored securely, complying with HIPAA, PIPEDA, and GDPR regulations. Vanta, an enterprise-grade security and compliance platform, has verified and actively monitors DeepCura's HIPAA-compliant status, providing peace of mind for both patients and providers. Future Prospects of Telehealth with AI Integration Scalability and Flexibility Telehealth platforms powered by artificial intelligence are paving the way for more personalized treatment plans. These technologies allow for scalable and flexible solutions that can adapt to various healthcare settings, from small clinics to large hospitals. The ability to handle large volumes of data and provide real-time insights makes AI an invaluable tool in modern healthcare. Innovations in Patient Care AI integration in telehealth is leading to groundbreaking innovations in patient care. From AI-powered clinical documentation to automated patient management systems, the possibilities are endless. These advancements not only improve the accuracy and efficiency of medical records but also enhance the overall patient experience. For instance, AI can help in early diagnosis and personalized treatment plans, making healthcare more proactive and patient-centric. Potential Challenges and Solutions While the benefits of AI in telehealth are numerous, there are also potential challenges that need to be addressed. Data privacy and security are paramount, especially when dealing with sensitive patient information. Ensuring that AI systems are reliable and do not produce non-factual information, known as AI hallucinations, is also crucial. To mitigate these risks, robust security measures and continuous monitoring are essential. Additionally, training healthcare professionals to effectively use AI tools can help in overcoming initial adaptation challenges. Conclusion The integration of DeepCura and Cal.com is a game-changer for telehealth. By combining DeepCura's advanced AI capabilities with Cal.com's customizable and HIPAA-compliant scheduling, both patients and providers benefit from a seamless and efficient experience. Providers can easily manage appointments, gather patient information beforehand, and conduct telehealth visits without the hassle of double bookings or administrative overload. This partnership not only enhances the quality of care but also makes the entire process more convenient for everyone involved. As technology continues to evolve, integrations like this will pave the way for a more streamlined and patient-centered healthcare system. Using the DeepCura Telehealth Scheduling Feature - Step by Step Instructions Integration with Cal.com Signing Up: Sign up to cal.com using the same email address as your DeepCura account. Integration Steps: Go to Settings in cal.com . Navigate to Webhooks. Click New and paste the following URL: https://api.deepcura.com/api/webhooks/schedules Click Save. Event Creation and Management Let's create and event and test the integration you just set up. Create an Event: Navigate to Event Types and click on "New Define the type of event (e.g., Initial Patient Visit). Set the URL, meeting duration (e.g., 45 minutes), and additional notes if necessary. If you'd like to make this a telehealth even, choose Link Meeting in the Location section located at the bottom of the page and paste in your personal telehealth link that you will find in the Scheduling section on your DeepCura workspace. Customize and Save: Customize your availability and settings, such as reminders or anything else you might like to customize such as the booking questions. Save the event. Patient Receives Email: Patients will receive an email containing the visit details and the meeting URL. The event is automatically added to your Google Calendar if integrated. Don't hesitate to explore additional Cal.com customizations that may benefit you. Pre-charting process Booking Questions: Customize booking questions in cal.com to collect necessary information (e.g., date of birth, insurance provider). Add any additional queries for pre-charting (e.g., medical history). Information Capture: Pre-meeting data from the booking form is captured and integrated into patient notes. Combining Notes: Merge Data or Rely on our "Auto-Append Previous Note" Feature for Comprehensive Documentation: In the Automations section of the DeepCura workspace, you can enable the "auto-append previous note" feature. This lets the AI use information from the previous note when creating a new one. For example, after a patient books a meeting and answers the booking questions, their answers will automatically show up in your Patient Notes. When you meet the patient and create the visit note in the same thread, the AI can use those answers along with your visit details to generate your note. If you prefer not to use the auto-append feature, you can click the merge button to combine your visit note with the booking questions note, keeping all information together. Meeting and documentation Start Meeting: At the set time, join the meeting in DeepCura's Scheduling section by choosing the meeting you want to start and picking the right template for the note (e.g., H&P note). Start microphone and camera. End Meeting: Ensure you click on "End Session" at the conclusion of your visit and permit the note to be created; it may take a few minutes to show up in your Patient Notes section. Summary of Implementation The integration of DeepCura with cal.com for telehealth scheduling offers several benefits such as HIPAA compliance, ease of use, and customization options. By following the steps above, providers can streamline their telehealth workflows, ensuring efficient event management, patient data handling, and comprehensive documentation. These features are designed to enhance the telehealth experience, bringing together scheduling, patient interaction, and seamless documentation into one cohesive platform. Frequently Asked Questions What is DeepCura and Cal.com integration? DeepCura and Cal.com integration allows healthcare providers to schedule and conduct telehealth visits seamlessly. Patients can fill out pre-visit forms, which automatically appear in DeepCura as notes. This integration ensures all appointments and data are HIPAA compliant and secure. How does the integration help with scheduling? The integration with Cal.com lets providers set up different event types and customize booking questions. Once a patient books an appointment, it appears in DeepCura, and both the provider and patient can join the telehealth visit at the scheduled time. Is the system secure and HIPAA compliant? Yes, both DeepCura and Cal.com are HIPAA compliant, ensuring all patient data is secure. The integration also includes enterprise-grade security features to protect sensitive information. Can the integration send reminders and notifications? Yes, automated reminders and notifications can be sent via SMS or email to both patients and providers. This helps in reducing no-shows and keeping everyone informed about upcoming appointments. What features does DeepCura offer for documentation? DeepCura provides AI-powered clinical documentation and automated note generation. It can also integrate with major EHR systems, making the documentation process efficient and streamlined. How can this integration improve the patient experience? The integration simplifies appointment booking, offers personalized patient interactions, and enhances communication channels. Patients can easily book, reschedule, and receive reminders about their telehealth visits, making the entire process more convenient.

DeepCura is changing how healthcare providers manage patient information. By using AI, DeepCura helps doctors quickly summarize patient charts and visualize data in a way that’s easy to understand. This makes it simpler for doctors to prepare for visits and provide better care. With features like automated note generation and customizable templates, DeepCura is a powerful tool for any medical practice. Key Takeaways DeepCura uses AI to summarize patient charts before visits, saving doctors time and enhancing patient care. Doctors can visualize patient data using mind maps and Gantt charts, making it easier to understand patient histories. The AI scribe feature automates clinical note generation, which can be customized to fit any medical specialty. DeepCura integrates with major EHR systems, allowing seamless data conversion and bulk document summarization. The platform enhances workflow efficiency with automated task management, billing summaries, and real-time collaboration tools. Pre-Visit Enhancements with DeepCura DeepCura offers a range of pre-visit enhancements designed to streamline the patient care process and improve efficiency. These features ensure that both patients and healthcare providers are well-prepared before the actual visit, leading to better outcomes and a more seamless experience. Visualizing Patient Data with DeepCura Creating Mind Maps from Patient Notes DeepCura makes it easy to create mind maps from patient notes. This feature allows healthcare providers to visualize complex patient data in a simple, intuitive format. By selecting the relevant notes, users can generate a mind map that highlights key information such as medical history, current medications, and recent lab results. This allows for a more comprehensive understanding of patient care and facilitates better communication among healthcare providers. By utilizing this feature, healthcare providers can enhance their decision-making process and ultimately improve patient outcomes. Generating Gantt Charts for Patient Timelines With DeepCura, generating Gantt charts for patient timelines is straightforward. These charts provide a visual representation of a patient's medical history over time, making it easier to track progress and identify patterns. Users can customize the Gantt chart to focus on specific events or complications, providing a clear and concise overview of the patient's journey. Customizing Data Visualizations DeepCura offers a range of options for customizing data visualizations. Users can tailor the visualizations to meet their specific needs, whether it's highlighting abnormal findings or focusing on particular aspects of a patient's medical history. The platform supports various formats, including tables and lists, to present structured data effectively. Advanced Data Conversion and Integration Bulk Document Summarization DeepCura makes it easy to handle large volumes of documents. You can upload multiple PDFs, screenshots, or even audio recordings, and the system will generate summaries, tables, or lists. This feature is particularly useful for data center migration projects, where you need to consolidate information quickly. Multi-Format Data Conversion With DeepCura, converting data from one format to another is a breeze. You can take a photo of a medical report, upload it, and get a summarized text or a table in a different language. This is especially helpful for international healthcare providers who deal with documents in various languages. Seamless EHR Integration Integrating DeepCura with your current EHR enables you to retrieve any patient's medical records and create a comprehensive summary of their entire chart in mere seconds. This guarantees that all pertinent information is readily available and reduces the time spent navigating through your EHR to locate your patient's past details and finalize your pre-charting tasks. Key Features: Bulk document summarization Multi-format data conversion Creation of mind maps and Gantt charts Seamless EHR integration These features make DeepCura an invaluable tool for modernizing your healthcare data management strategy. Conclusion In conclusion, DeepCura is transforming the way healthcare professionals manage patient care. By offering pre-visit EHR chart summarization and patient data visualization, DeepCura makes it easier for doctors to prepare for patient visits. The ability to generate mind maps and Gantt charts from patient notes adds a new level of clarity and organization. The platform's specialty and workflow agnostic architecture ensures that it can meet the needs of any healthcare setting. As healthcare continues to evolve, tools like DeepCura will be essential in improving efficiency and patient outcomes. Try DeepCura today and experience the future of healthcare documentation. Step By Step Instructions for Creating Different Types of Data Visualization on DeepCura Generating EHR Summary: Step 1: Click on the detective icon located in one of the icons at the top right corner of each note. Step 2: Ensure that your EHR is integrated with DeepCura. If not, contact us for integration assistance at contact@deepcura.ai. Step 3: Once integrated, click the detective icon to load your list of patients. Step 4: Select the desired patient from the list. Step 5: The summary will be automatically generated within a few seconds. Generating Gantt Charts or Mind Maps: Step 1: Navigate to the desired patient’s chart/thread on DeepCura. Step 2: Type or in the text box. Step 3: Provide specific instructions(e.g., "Generate a mind map that illustrates the patient's diagnosis and treatment plan for each one"). Step 4: The AI utilizes all notes within the thread to create the visualization. Note: you can customizing the data that's included in Mind Maps or Gantt Charts. You can simply temporarily delete any undesired notes by clicking the 'X' icon in the top right corner of each note that you don't want to inlcude. This avoids including unwanted information in visualizations. The notes will be back when you refresh the page. Including External Records: Step 1: Attach multiple PDFs of patient records, labs, etc., to the patient’s thread. Step 2: Instruct the AI to present this information in your preferred method of visualization (e.g., "Generate an analytical table for these lab results"). By following these steps, you can effectively utilize DeepCura’s data visualization features to streamline and enhance your review of patient data.

Open a free trial iFax account: https://www.ifaxapp.com/fax-plan-trial/?utm_medium=affiliates&fpr=deepcura (Disclaimer: We are an iFax affiliate partner and may receive a commission based on your purchases. We chose iFax not because of the affiliate fees but because, based on our research, it is a top-3 fax company in the US with the strongest security and privacy protocols in the industry.) 2. Click on "Resellers, Whitelabel & API" 3. Click on "Developer API" 4. On "Received Handler" add this URL: https://p df .deepcura.com/api/fax/ifax_receiver_callback and click save . 5. Go to DeepCura settings and add your ifax number on " Preferred Fax number to display on footer " and click save. 6. And you are all set! Whenever you receive fax, you will receive summaries as you see below: 7. Remember to add your patient's phone number every time you create a patient, this way DeepCura can automatically match and reconciliate all your incoming fax summaries with your patient threads automatically!

In chrome, click the settings section just before our domain name. 2. Click on the Microphone arrow: 3. Click on "manage" 4. Select the microphone you want to use and you are all set.

Go to cal.com and create an account. Create a new event by clicking at the top right blue button. 3. Add a title and description to your event and click continue. 4. Remove Cal.com video and add your DeepCura telehealth link instead. Do not forget to click save. Note: you can find your Personal Telehealth Link here: 5. Optional: Add Stripe or Paypal to automate billing when your patients or clients request your services, you can also add apps from the marketplace to automate additional parts of your workflow 6. Set your availability as desired: 7. This is the last and most important step. Go to settings, then under the developer menu, click "webhooks" 8. Click "New" under, "create your first webhook" 9. Add this url: https://api.deepcura.com/api/webhooks/schedules to the subscriber url field 10. Click "Create webhook" And you are all set, every time a patient or client submits a booking, all the booking, reminders, and cash based billing is automated by cal.com, both you and your patient receives a professional looking e-mail with their appointment and DeepCura Telehealth link, and re-scheduling is intuitive and user friendly. At the moment of your appointment you can join via the DeepCura platform as the image shown below: P.S. You can integrate Zapier for non PHI related administrative workflows for extremely powerful automations via cal.com app store.

Welcome to the comprehensive FAQ blog for DeepCura. This blog aims to answer common questions and provide detailed insights into the various features and functionalities of DeepCura. Whether you're new to the platform or looking to optimize your use, you'll find valuable information here. 1. How do I use DeepCura to generate notes? Answer: Generating clinical notes or other documentation using DeepCura is straightforward. Here’s a step-by-step guide: Navigate to the note generation section within the DeepCura platform. Input the necessary patient information and clinical details. Use the AI scribe feature to generate a SOAP note, history report, or other required documentation. Category: FeaturesSubcategory: AI ScribeKeywords: notes, note generation, report, SOAP, history reportHelpful Links: How to generate a SOAP note 'For Dummies' style 2. How does the AI nurse feature work and what can it do? Answer: The AI Nurse is an AI agent that interacts with patients through pre-charting. It gathers initial information from patients before they meet with the healthcare provider, making the process more efficient. The AI Nurse can: Collect patient history. Document symptoms. Provide preliminary assessments. Category: FeaturesSubcategory: AI NurseKeywords: AI nurse, pre-chartingHelpful Links: AI Nurse™ Patient Experience Demo: 100% unedited 3. How do I schedule a telehealth visit? Answer: To use our telehealth feature, follow these steps: Go to the telehealth scheduling section on DeepCura. Select the patient and preferred date and time for the telehealth visit. Confirm the appointment, and both the patient and healthcare provider will receive notifications. Category: FeaturesSubcategory: AI Telehealth/SchedulingKeywords: telehealth, schedulingHelpful Links: How to use AI Telehealth, AI Scheduling & Billing 4. Can I attach PDFs to DeepCura? Answer: Yes, not only can you attach PDFs, but you can also attach other types of documents such as Word files and Excel spreadsheets. This feature allows for comprehensive patient documentation and record-keeping. Category: FeaturesSubcategory: AI ScribeKeywords: attachment, PDFHelpful Links: How to do Bulk PDF Summarization for your Patients 5. Can I attach images to DeepCura? Answer: Yes, you can attach photos or screenshots and include them in the patient's record. This is particularly useful for visual documentation, such as skin conditions or injury photographs. Category: FeaturesSubcategory: AI ScribeKeywords: attachment, image, picture, screenshot, photoHelpful Links: How to Extract Information From a Medical ID photo 6. How can I edit the notes that the AI generates? Answer: To manually edit the notes, click the pencil icon next to the generated note. This will open the note in an editable format where you can make necessary changes and save them. Category: FeaturesKeywords: note editing, manual edit, AI-generated notesHelpful Links: How to easily make voice edits. - YouTube 7. Is there any way for me to filter my notes? Answer: Yes, you can filter your notes using our note filtering feature. You can apply various filters based on date, type, patient name, and other criteria to quickly find the notes you need. Category: FeaturesKeywords: note filtering, search notes, filter criteria 8. What is the "Create your own AI instructions" feature? Answer: DeepCura offers extensive note customization, allowing you to create your own AI instructions. This feature enables you to tailor the AI's note generation to fit your specific documentation style and requirements. Category: FeaturesKeywords: custom AI instructions, note customizationHelpful Links: How to Automate Complex Clinical Notes for Any Practice 9. I don't like generic SOAP notes, I need notes tailored to my specialty. Can DeepCura help? Answer: DeepCura offers extensive note customization, allowing you to tailor notes to fit the unique needs of your specialty. This ensures that the notes generated by the AI align with your specific clinical requirements. Category: Support and TrainingKeywords: specialty notes, customized notesHelpful Links: How to Automate Complex Clinical Notes for Any Practice 10. What EHRs does DeepCura integrate with? Answer: At the moment, we integrate with Epic, DrChrono, and eClinicalWorks (eCW). These integrations allow for seamless data transfer and management across platforms. Category: EHRKeywords: integration, Epic, DrChrono, eCW 11. How can I include information from my previous notes in DeepCura? Answer: Yes, take a look at our video titled "How to import notes from your EHR and manage legacy notes." This guide will show you how to bring over information from previous notes and integrate them into the DeepCura system. Category: FeaturesKeywords: import notes, legacy notesHelpful Links: How to import notes from your EHR and manage legacy notes 12. Is there a community forum? Answer: Yes! Simply click on the "Community" button on our website to join the DeepCura community forum where you can discuss, share experiences, and get support from other users. Category: Support and TrainingKeywords: community forum, live chat 13. Can I merge notes together? Answer: Yes, you can merge multiple notes into a single document. This is useful for creating comprehensive records that compile all relevant information in one place. Category: FeaturesKeywords: merge notes, combined notes 14. Is there any way for me to check if my note meets billing and auditing standards? Answer: Yes, you can use our built-in audit feature to check if your notes meet billing and auditing standards. This tool helps you reduce clawbacks and denials by ensuring compliance with relevant regulations. Category: AuditKeywords: billing, auditHelpful Links: How to self-audit. Reduce clawbacks and denials 15. How do I integrate with DrChrono for free? Answer: Integration with DrChrono can be set up at no extra cost. Please refer to our integration guide for step-by-step instructions on how to connect DeepCura with DrChrono. Category: IntegrationKeywords: DrChrono, EHR integration 16. Can I add my assistant to my account? Answer: Yes, you can add your assistant or other team members to your account for collaborative work. This feature allows for seamless collaboration and delegation of tasks within the DeepCura platform. Category: Note CollaborationKeywords: collaboration, admin, assistantHelpful Links: How to easily Collaborate with other clinicians 17. Where can I get help if I have any issues or questions? Answer: If you need help, you can reach out to our support team via the live chat feature on our website. Our customer service representatives are available to assist you with any issues or questions you may have. Category: Live ChatKeywords: help, support, chat, customer service 18. Can I instruct the AI to include information from a specific part of the patient's record? Answer: Yes, you can give isolated instructions to the AI to include information from specific sections of the patient's record. This helps ensure that the generated notes contain all the relevant details. Category: AI ScribeKeywords: isolated instructions, AI memoryHelpful Links: How to import notes from your EHR and manage legacy notes 19. What does the "Ask Entire Thread" button do? Answer: The "Ask Entire Thread" feature allows you to query the entire patient thread. For example, to get a list of all recorded diagnoses for a patient, click the "Ask Entire Thread" button and verbally instruct the AI to provide the list. Your voice will be recorded when you click the button, so give your instruction clearly, then click "End Recording" at the bottom of the page. Category: AI ScribeKeywords: ask entire thread 20. DeepCura won't capture my patient's audio when they speak. What should I do? Answer: If you're using the DeepCura telehealth platform and are having technical difficulties, contact us as soon as possible either via out live chat or via email at contact@deepcura.ai If you're using a different platform, like Zoom, here are some troubleshooting steps you can try: 1. Audio Capture: Ensure that audio from both you and your patient is being recorded. Look for the microphone level indicator, which moves up and down when someone speaks. You can find it just below the "Pause recording" and "End recording" buttons. 2. Microphone Settings: If the indicator isn't moving, verify that the correct microphone is selected in your browser. 3. Browser Compatibility: Switching browsers can often resolve issues. If you're using Chrome, try Firefox, and vice versa. Browser extensions can sometimes interfere with DeepCura's functionality. 4. Headphone Use: If you're wearing headphones, this might be why your patient's audio isn't being captured. Try removing them to see if that resolves the issue. Category: TroubleshootingKeywords: audio capture, microphone issues 21. I like the notes DeepCura generates but it's not always consistent. How can I improve this? Answer: To improve consistency in the notes generated by DeepCura, ensure that you provide clear and consistent instructions to the AI. Reviewing and editing the notes can also help in maintaining consistency. Category: TroubleshootingKeywords: consistency, accuracyHelpful Links: How to Automate Extremely Long Notes and fix consistency issues 22. What is the "automations" feature? Answer: The "automations" feature allows you to create automated workflows for repetitive tasks. This can include generating reports, scheduling follow-ups, and other routine tasks, saving you time and effort. Category: Data VisualizationKeywords: mindmap, Gantt chart, timeline, automationsHelpful Links: How to view your patient's entire life using Timelines, Mindmaps, and Gantt Charts 23. Can I import patient information from my EHR to DeepCura? Answer: Yes, you can import patient information from your EHR to DeepCura. This integration allows for seamless data transfer and ensures that all patient records are up to date. Category: DetectiveKeywords: EHR, medical record summary, integrationHelpful Links: How to extract all patient data from EHR in 2 minutes We hope this FAQ blog helps you make the most of DeepCura's capabilities. If you have any further questions or need additional support, please refer to the helpful links provided or contact our support team. Stay tuned for more updates and tips on using DeepCura efficiently!

Important: We are aware of the value of your time. Before reading this comprehensive guide, we invite you to explore quick educational bites with our 1-5 minute videos. We have organized the content by use case, allowing you to learn up to 10 times faster and focus only on what is relevant to your needs. Please visit the following link to access our short video gallery tailored to different use cases. If you are already familiarized with using AI Applications such as ChatGPT and how prompts work, then feel free to skip the guide and go directly to our AI Template gallery here. (AI Templates and Prompts are the same thing.) To qualify yourself as an expert DeepCura and AI clinician, you should have watched all the videos from our curated YouTube playlist and read all the AI templates specific to your specialty. Introduction In this article, we will cover: Simple Prompts. Advanced Prompts for Note Hyper-customization. Easy Data Conversions. Template gallery for inspiration. How to use the AI Nurse and AI Nurse templates. Troubleshooting tips. These topics are arranged in order of increasing difficulty, providing a series of building blocks for easier learning. Simple Prompts. A prompt is essentially a set of 'instructions.' Simple prompts fall into the category of 'simple instructions' or commands that you give to the AI. The AI uses your audio recordings, PDFs, or screenshots as context to perform the tasks you request via these "prompts". Here are the most popular simple prompts in our community, after this,  we will dive into after into advanced prompts and note hyper-customization. Diagnostic Assistance: "Based on these symptoms and test results, what are the possible diagnoses from the provided transcript?" Treatment Suggestions: "What are the recommended treatment options for a patient with this diagnosis from the provided transcript?" Drug Interactions: "Are there any potential interactions between these medications from the provided transcript?" Patient Risk Assessment: "Evaluate the risk factors for this patient developing a certain condition from the provided transcript" Medical Literature Summaries: "Summarize the key findings of this medical study. [Insert Medical Study test here or attach PDF/Image]" EHR (Electronic Health Records) Data Analysis: "Extract and summarize the relevant patient history from my EHR." Requires EHR integration. Remote Patient Monitoring Alerts: "Alert me if there are concerning trends in this patient's remote monitoring data from the provided transcript." Surgical Procedure Planning: "Assist in planning a surgical procedure by providing relevant anatomical and procedural information from the provided transcript" Healthcare Resource Allocation: "Optimize the allocation of hospital resources based on current patient needs and forecasts from the provided transcript" Mental Health Assessments: "Evaluate the mental health status of a patient based on their responses to the questionnaire from the provided transcript" Billing Code Optimization: "Identify the most accurate and appropriate billing codes for this patient's diagnosis and treatment to ensure compliance and maximize reimbursement." Claim Denial Analysis and Resolution: "Analyze the reasons for this patient's insurance claim denial and provide suggestions for resolving the issue and facilitating successful claim processing." Insurance Coverage Verification: "Verify the insurance coverage and benefits for this patient's proposed treatment plan, including any limitations, copays, or pre-authorizations required." [Attach insurance via PDF, Image or append text from the patient conversation transcript] Analytics on the go: Create a patient table analytics from the provided transcript. (You can allow the AI to surprise you with the proposed insights or you can request specific insights that you are looking to dive in. You can do the same for the entire patient thread if you had multiple encounters from the same patient across a period of time or organization-level analytics if you create an organization specific thread) Remember, these are popular prompts amongst our community, but you can create your own based on your use case, needs, and creativity. Advanced Prompts for Note Hyper-customization Advanced prompts function just like simple prompts, but they are more intricate by nature. Typically, they begin with a 'main instruction,' which is then followed and intertwined with a set of sub-instructions. These sub-instructions act as additional layers, offering extra guidance and support to the AI as it navigates through the entire task. Think of it like a recipe: the main instruction is the basic method, while the sub-instructions are like specific steps and tips that ensure a successful and refined outcome. In order to automate notes that are hyper customized you will need. 1) A simple prompt. 2) Your note template. Optionally, include sub-instructions for each header, specifying your preferences for writing style and format for each header (bullet points, paragraphs, tables of analytics, etc.). When these two components are blended together, they form what we call an Advanced Prompt. Here is a straightforward example: ————————————————————————————————————————— Generate a medical note using the following template from the provided transcript. CHIEF COMPLAINT: HISTORY OF PRESENT ILLNESS: CURRENT MEDICATIONS: PAST MEDICAL HISTORY: HOSPITALIZATIONS: ALLERGIES: SOCIAL HISTORY: Smoking Status: ___________ Alcohol use: ___________ Caffeine use: ___________ Marital status: ___________ Racial background: ___________ Native language: ___________ Exercise habits: ___________ FAMILY HISTORY: Father: _______________ Mother: _______________ PREVENTIVE CARE: Hemoglobin A1c: ____________ Blood Glucose: ____________ Colonoscopy: ____________ COVID Vaccine: ____________ Last Complete Physical: ____________ Lipid Panel: ____________ PSA: ____________ REVIEW OF SYSTEMS: PHQ-2: ____________ VITAL SIGNS: Weight: _________; Height: _________; BMI: _________ Temperature: _________; Respiration Rate: _________; Pulse Rate: _________; Blood Pressure: _________ Pulse Oximetry: _________ PHYSICAL EXAMINATION: General: ____________ Lungs: ____________ Heart: ____________ Musculoskeletal: ____________ Diagnostic test results: DIAGNOSIS: PLAN: ———————————————————————————————————————— If you noticed above, the simple prompt was the actual instruction “Generate a medical note using the following template from the provided transcript.” And then we appended the rest of the template, if you do not provide the instruction and only add the template, the AI will not make a high-quality note. It’s very important that you refer to the patient conversation as a “transcript” because that’s what the AI will receive, not an actual audio recording + the AI can't actually hear, the transcript is then used as context for the AI to analyze. That's why we always finalize the prompt with the phrase "from the provided transcript" although you are welcome to slightly modify this as well as long as you keep the word "transcript". If you provide an screenshot/image or pdf, then replace the word transcript for whatever you append as context. Since the template of every provider it’s different, you can use the example above and edit the template as you wish and the AI will autofill that based on your patient conversation. All prompts can be edited however you want, there's one simple rule of thumb, be clear in your instructions/prompts and make sure your computer or phone records high quality audio. That's it. Now we will go into more complex topics, these are the notes and prompts created by ambitious and tech savvy medical providers, they go even deeper on each layer of the note by adding sub instructions to each clinical header, or even requesting differential diagnosis and more. Sometimes they even request an analytics table for a specific header too. Let's teach you how to do both at once, adding a sub-instruction and making an analytics table on the go for a particular header. Please see the image below, and ignore the colored highlights of our scanner. You will see that we start with our simple prompt: "Create a medical note following this template from the provided transcript" as you learned before followed by the template, but this time there is something different, a sub-instruction in the Lab/Imaging/Consult header, the sub-instruction goes: "(For this section I want to make a table chart with analytics.)" Advanced Prompt with sub-instructions on Lab Header: And here was the result after processing, click play: AFTER: Now DeepCura generated an analytics table specifically for that header that we directed, the point is, you have all the freedom to ask or design your note exactly the way you want it. Here are some of the top advanced prompts created by some of our users by specialty. Template Gallery for Inspiration Cardiology Dermatology ENT Family Medicine General Notes Nephrology Ob/Gyn Orthopedics Podiatry Psychiatry Radiology Surgical Delta Phrases Use Cases Although you may enjoy this learning experience, remember that we can also create the prompt for you. Simply book a session with us here: https://calendly.com/deepcura/one-to-one-tech-support-and-prompt-engineering-session?month=2024-01. Every medical provider is different; some prefer to learn independently, while others, due to time constraints, opt to have us create their prompts. Some choose a combination of both approaches. We are happy to accommodate all note formats and learning styles, offering live support and self-serve learning resources. ------------------------------------------------------------------------------------------------------------------------- Easy Data Conversions Easy Data Conversions represents a utopian yet now realistic concept: you can input a clinical document in any format—be it audio, a screenshot, or a single-page PDF in Language A—and transform it instantly into any desired format, such as an analytical spreadsheet, a PDF, or a simple bullet-point summary. But here's the punchline: the output can be in a different language than the original input. Here are some examples and ideas you can already do with DeepCura: Spanish Audio recording to French Progress/SOAP Note. Try any language! Upload a Polish Lab Photo Screenshot to Summarized Bullet Points in English. Upload a Lab Photo Screenshot to Analytical Spreadsheet. Patient recording to Hyper-customized note template. Patient recording to Hyper-customized note template + Analytics. PDF to AI- assisted Diagnosis. Take an insurance picture from your phone and summarize. Upload all formats, all documents, all languages into a Patient Thread and ask anything in 5 secs. ------------------------------------------------------------------------------------------------------------------------- How do I use the AI Nurse? AI Nurse Templates for inspiration. ------------------------------------------------------------------------------------------------------------------------- Triage You are an AI Medical assistant that helps the doctor do pre-charting. Please follow these instructions in order: 1.When you do the pre-charting or triage, you are only allowed to ask the patient one question at a time, otherwise he/she may feel overwhelmed. 2. Ask the patient for the necessary information in order for you to be able to fill in this template: Full Name: DOB: HPI: [In a paragraph format describe the HPI in detail. Include every symptom that is mentioned and the details for each one. Use technical medical terminology for the description. Include what the patient affirms and denies when questioned. Avoid being overly verbose. Include details of any previous diagnoses if relevant to the HPI.] Social history: [in a single sentence describe the patient’s recent vaccinations, travel, sick contacts, and substance use. For example, “no recent vaccinations, no recent travels. No diarrhea, no sick contacts. She has not had a flu vaccination, she has been previously vaccinated against COVID’] Family history: Past medical history: [describe the patient’s past medical history and if applicable the treatment they currently have for each diagnosis ] Allergies: [If denies, state “No allergies.”] Medications: [current medications with names and dosages] 3.Once you finish gathering the necessary information, provide a note based on the given template and ask the patient to verify the information in the note with a yes or no answer. If they reply no, then ask what needs to be modified, modify the note based on their answer, deliver the modified note and ask the patient to verify if the information is correct. Repeat this process if necessary, until the patient affirms that the information in the note is correct. ------------------------------------------------------------------------------------------------------------------------- Triage + Custom Note Template + Doxy Telehealth Link to join Telehealth consultation You are an AI Medical assistant that helps the doctor do pre-charting. Please follow these instructions in order: 1.When you do the pre-charting or triage, you are only allowed to ask the patient one question at a time, otherwise he/she may feel overwhelmed. 2. Ask the patient for the necessary information in order for you to be able to fill in this template: Full Name: DOB: HPI: [In a paragraph format describe the HPI in detail. Include every symptom that is mentioned and the details for each one. Use technical medical terminology for the description. Include what the patient affirms and denies when questioned. Avoid being overly verbose. Include details of any previous diagnoses if relevant to the HPI.] Social history: [in a single sentence describe the patient’s recent vaccinations, travel, sick contacts, and substance use. For example, “no recent vaccinations, no recent travels. No diarrhea, no sick contacts. She has not had a flu vaccination, she has been previously vaccinated against COVID’] Family history: Past medical history: [describe the patient’s past medical history and if applicable the treatment they currently have for each diagnosis ] Allergies: [If denies, state “No allergies.”] Medications: [current medications with names and dosages] 3.Once you finish gathering the necessary information, provide a note based on the given template and ask the patient to verify the information in the note with a yes or no answer. If they reply no, then ask what needs to be modified, modify the note based on their answer, deliver the modified note and ask the patient to verify if the information is correct. Repeat this process if necessary, until the patient affirms that the information in the note is correct. 4. At the end, provide this link in bold letters so the patient can join the telehealth meeting when it’s time for their appointment: https://doxy.me/drtehfi ------------------------------------------------------------------------------------------------------------------------- Automated Patient Messaging + Optional trusted clinical knowledge base to educate patient with evidence based medicine. You are an Al Nurse that will provide assistance to the patients regarding information about his/her medical records, here are the medical records for context: [ Patient Information Name: John Doe Date of Birth: January 1, 1980 Gender: Male Marital Status: Married Address: 1234 Maple Street, Anytown, USA Phone Number: (555) 123-4567 Emergency Contact: Jane Doe, Wife, (555) 765-4321 Primary Care Physician: Dr. Emily Smith Insurance Information: HealthCare Plus, Policy Number: HC123456789 Medical History Allergies: Penicillin, Peanuts Past Medical History:Appendectomy, 2005 Type 2 Diabetes Mellitus, diagnosed 2010 Family History:Father: Hypertension, Heart Disease Mother: Breast Cancer survivor Social History:Non-smoker Occasional alcohol (1-2 drinks per month) No recreational drug use Current Medications:Metformin 500mg twice daily Lisinopril 10mg once daily Multivitamin daily Encounters and Notes Visit on March 15, 2023 - Routine Checkup Vitals:Blood Pressure: 130/85 mmHg Heart Rate: 72 bpm Weight: 200 lbs Height: 5'9" Chief Complaint: Patient reports feeling generally well, with no specific complaints. Review of Systems: Negative, except for mild occasional headaches. Physical Exam:General: Well-appearing adult male in no acute distress. Cardiovascular: Regular rate and rhythm, no murmurs. Respiratory: Clear to auscultation bilaterally. Abdominal: Soft, non-tender, no hepatosplenomegaly. Assessment/Plan:Continue current medications. Lab work ordered for lipid panel, HbA1c. Follow-up in 3 months or sooner if issues arise. Visit on June 20, 2023 - Follow-up for Lab Results Lab Results:HbA1c: 7.2% (down from 7.5%) Lipid Panel:Total Cholesterol: 190 mg/dL LDL: 120 mg/dL HDL: 45 mg/dL Triglycerides: 150 mg/dL Assessment/Plan:Positive progress with diabetes management. Discuss starting a statin for LDL cholesterol management. Encourage diet and exercise modifications to improve lipid profile. Next follow-up in 6 months, with repeat labs. Visit on December 15, 2023 - Complaint of Right Knee Pain Chief Complaint: Patient reports right knee pain starting 2 weeks ago, after a fall while jogging. No noticeable swelling. Physical Exam:Right Knee: Mild tenderness on palpation of the lateral aspect, no significant swelling, full range of motion. Assessment/Plan:Suspected mild lateral collateral ligament strain. Recommend RICE (Rest, Ice, Compression, Elevation), analgesics as needed. Referral to physical therapy for knee strengthening exercises. Follow-up in 4 weeks or sooner if symptoms worsen. Advanced Directives Living Will: Present Health Care Proxy: Jane Doe, Wife Immunizations Influenza: Annually, last received October 2023 Tetanus, Diphtheria, Pertussis (Tdap): Last received 2018, due for update COVID-19: Completed series and booster as per CDC guidelines Miscellaneous Notes Patient has expressed interest in improving diet and exercise regimen to better manage diabetes and weight. Referred to a dietitian for nutrition counseling. Patient has a family history of heart disease; advised to monitor cardiovascular health closely.] Optional: Please use this clinical source if patient questions the rational behind the plan or diagnosis. [Paste top rated clinical articles here] ------------------------------------------------------------------------------------------------------------------------- Notes: The AI Nurse works in any language. You can repurpose the AI Nurse thread, example, start with the Triage + Patient Scheduling Automated Routine template and then after the visit update the prompt and transform the same thread into automated patient messaging. You can come up with your own routines and templates, the limit is in your imagination. ------------------------------------------------------------------------------------------------------------------------- Troubleshooting Tips Corrupted Recordings. This is the most popular issue amongst our users, you simply need to go to your browser's settings and select as input the appropriate microphone. Go to settings Then on privacy and security select site settings. Scroll down and select "Microphone Select the appropriate microphone, and now it should work. Note: if your recording is longer than 60 minutes, we require you to have high upload internet speed. Browser Performance We have learned that Google Chrome and Mozilla Firefox have the best performance for our application. It's extremely important that you keep your browser updated and free of corrupted or outdated extensions. Make sure you have enough space for long recordings in your device. For mobile recordings overall, disable screen locks. Create a shortcut on your mobile menu to access DeepCura instantly. Why DeepCura can't remember the previous message from the thread automatically? DeepCura doesn't remember past messages in a patient thread to avoid errors or hallucinations in clinical records. Each new note message in a thread starts fresh. Use the "Voice edit" button to include your last note, then add your new instruction as needed. Or, use the "ask entire thread" button to gather all previous data from the conversation, mimicking the ChatGPT style but maintaining patient note isolation for each new entry. You can also delete temporarily specific patient stages from the thread so that you can generate insights from those specific patient encounters. This approach ensures each patient's data is kept separate and reduces errors and hallucination from past entries due to context or thread exhaustion, if you have experience using AI chats based on thread conversations, you may be aware the response reduces in quality as the thread gets longer, our approach ensures you always get the highest possible answer from our AI engine. Dealing with Missing Information: If information is missing in your notes: Check the transcript first by clicking "Review Transcript". If the info is there, it means the AI didn't include it in the note. Be more specific in your prompt or add a clear sub-instruction under the relevant header to include that specific information with the writing style you need. If it's not in the transcript, the recording may be partial or corrupted. This can be due to screen locks, slow internet connection, VPNs, outdated devices, or issues with browsers and extensions as we do not record using our servers, the entire recording is handled by your device and browser. If you have slow internet connection or an outdated device, please use a recording device that does not require internet such as the voice memo app in Apple devices and upload the recording directly. Ensure your browser and device can handle and store long recordings. For reliability, use the voice memo app on Apple devices for long recordings. Upload the audio with your custom prompt. Position the microphone well for clear audio quality.

Big news in healthcare innovation: DeepCura, a renowned medical scribe company, and Deepgram, a transcription industry leader with partnerships with NASA, Twilio, and Spotify, have announced a groundbreaking collaboration. This partnership heralds the introduction of an AI-powered phone assistant designed to revolutionize the way clinical notes are prepared. Introducing a Game-Changer in Clinical Documentation The joint venture between DeepCura and Deepgram centers around a voice-realistic AI assistant. This cutting-edge technology is poised to transform medical charting, making it more patient-centric and efficient. Revolutionizing Pre-Charting with Direct Patient Interaction The unique feature of this AI assistant is its ability to interact directly with patients via phone before their appointment. With a realistic-sounding voice, the assistant can collect crucial information from the patient, effectively compiling most of the clinical note. By the time the doctor enters the examination room, a significant portion of the charting work is already completed, allowing for a more focused and efficient patient encounter. Leveraging Deepgram's Transcription Expertise Deepgram brings its vast experience in voice recognition and transcription to this partnership. Their proven track record with high-profile clients such as NASA, Twilio, and Spotify ensures that the AI assistant is not only highly accurate in transcription but also exceptional in understanding and processing patient responses. Enhancing the Doctor-Patient Encounter This initiative marks a significant shift in medical documentation, placing the patient at the heart of the process. By engaging patients directly and gathering information beforehand, doctors can dedicate more time to face-to-face interactions, enhancing the quality of care. A Step Towards a More Interactive Healthcare System The collaboration between DeepCura and Deepgram signifies a move towards a more interactive and efficient healthcare system. This AI assistant represents a blend of technological innovation and patient-centered care, aiming to streamline the documentation process while enhancing the overall patient experience. The Future of Medical Charting With this partnership, DeepCura and Deepgram are not just introducing a new product; they are redefining the approach to medical charting. This AI assistant is a harbinger of a future where technology and patient engagement converge to create a more effective and empathetic healthcare system. Keep an Eye on Progress As DeepCura and Deepgram continue to develop this groundbreaking technology, the medical community awaits with eager anticipation. This partnership stands as a testament to the power of technology in transforming healthcare, making it more responsive, efficient, and patient-focused. Stay tuned for more updates as DeepCura and Deepgram lead the way in revolutionizing healthcare documentation through innovative AI solutions. https://deepgram.com/product/speech-to-text

In the technologically-driven world of medicine, AI plays an increasingly pivotal role in clinical documentation. One of the often-overlooked factors that can heavily influence the quality of AI-generated documentation, such as SOAP notes or H&P notes, is the recording device used. The quality of the audio input determines the precision of the output. Table of Contents The Connection Between Recording Quality and AI Documentation Why Device Quality Matters The Apple Edge: A Benchmark in Audio Recording Strategies to Improve Recording Quality Making the Case for an iPhone Upgrade to your Boss. Concluding Remarks 1. The Connection Between Recording Quality and AI Documentation The efficacy of AI transcription lies in its ability to accurately interpret audio data. Clearer audio means more accurate transcriptions, and thus, more reliable clinical documentation. A poor recording can result in misunderstood phrases or missed information, leading to inaccuracies that could impact patient care. 2. Why Device Quality Matters Superior Microphone Sensitivity: High-quality devices capture nuanced vocal tones, reducing the chances of misinterpretation. Noise Cancellation Features: Premium devices often come with noise-canceling features that isolate the speaker's voice, ensuring background noises don't interfere with the recording. 3. The Apple Edge: A Benchmark in Audio Recording Apple products, renowned for their design and functionality, also stand out in the realm of audio recording. Devices like the iPhone or MacBook: Offer Crystal Clear Audio: Apple's built-in microphones are engineered to capture clear and detailed sound. Integrate Advanced Noise Cancellation: Apple's software and hardware work in tandem to minimize ambient noise. For those serious about achieving the best AI-generated clinical documentation, Apple products are a worthy investment. 4. Strategies to Improve Recording Quality To achieve the best transcription results: Isolate the Environment: Record in a quiet space, away from background noises or disturbances. Place the Device Strategically: Position the device close enough to capture the speaker's voice but not so close that it captures distorted sound. Regularly Test and Clean Your Device: Ensure your microphone works correctly and is free from dust or obstructions. 5. Making the Case for an iPhone Upgrade to your Boss. Investing in optimal technology isn't just about personal convenience or embracing the latest trends. In the realm of medical practice, it directly pertains to patient care quality. Therefore, for medical professionals aiming to harness the best of AI in clinical documentation, requesting the best tools becomes not only a matter of preference but also a necessity. Why the iPhone Makes a Difference: Quality Assurance: As highlighted, the superior recording capabilities of the iPhone ensure the most accurate AI transcription. Efficiency: With faster processing speeds and intuitive interfaces, tasks get completed more swiftly, allowing more time for patient care. Data Security: Apple's commitment to user privacy and data security is unparalleled, ensuring that patient data remains confidential and safe from potential breaches. A Legitimate Request: Medical professionals can thus present a legitimate case to their supervisors or hospital administrators for upgrading to an iPhone. By emphasizing its direct impact on improving patient outcomes and ensuring efficient, accurate clinical documentation, it becomes less of a personal request and more of a strategic investment in patient care. Such a forward-thinking approach not only showcases the professional's commitment to excellence but also underscores the broader perspective of prioritizing patient welfare. Conclusively, when navigating the realms of advanced technology in healthcare, it's crucial to recognize the importance of the tools used. With Apple's proven track record, the iPhone emerges not just as a luxury but as an essential tool in the contemporary medical toolkit. 6. Concluding Remarks In the world of AI clinical documentation, the adage "garbage in, garbage out" holds true. The quality of the input— in this case, the audio recording—directly influences the quality and accuracy of the output. By investing in top-tier recording devices and adopting sound recording practices, medical professionals can significantly enhance the reliability of their AI-generated clinical notes.

AI hallucinations, where AI produces non-factual information, pose challenges in clinical documentation. To mitigate this: Custom Research Integration: Incorporate individual doctors' trusted research studies into AI training, ensuring the AI's output matches their specific knowledge base and preferences. Address Doctor Biases: Recognize that each doctor has unique perspectives on medical research and trusts different sources. Allowing AI customization based on their biases ensures better alignment with their clinical approach. Use Healthcare-Specific AI Models: Implement models like Bio Clinical BERT, which are designed for medical contexts and are less prone to hallucinations due to their training on relevant medical literature. Incorporating these strategies can enhance the accuracy and reliability of AI-generated clinical documentation. Table of Contents Understanding AI Hallucinations in Clinical Contexts The Role of Custom Research Studies in AI Training Doctor Biases: Individualized Knowledge Bases The Power of Healthcare-Specific Models Concluding Thoughts 1. Understanding AI Hallucinations in Clinical Contexts AI hallucination refers to the phenomenon where the AI generates information that isn't based on factual input or training data. In clinical documentation, this can be especially problematic, leading to potential misdiagnoses or inappropriate treatment suggestions. 2. The Role of Custom Research Studies in AI Training Personalized Learning: Every doctor has their trusted research sources and studies they lean on. Integrating these studies into AI training can tailor the AI's output to match a doctor's preferences and trusted knowledge base. Minimizing Generalization: Relying solely on generalized AI models can increase the risk of hallucination. But by adding custom research, AI can produce more relevant and accurate clinical plans. 3. Doctor Biases: Individualized Knowledge Bases Every doctor is unique, with their own perspectives on medical research. They often: Trust Different Sources: What one doctor views as a credible source, another might question. Interpret Data Differently: The same research can be interpreted in myriad ways, leading to varied clinical approaches. Allowing doctors to customize AI knowledge bases according to their scientific biases ensures that the AI's recommendations are more aligned with each doctor's clinical approach, thereby improving trust and adoption. 4. The Power of Healthcare-Specific Models Models like Bio Clinical BERT have been designed specifically with healthcare in mind. They: Are Trained on Relevant Data: Such models are exposed to vast amounts of medical literature, ensuring their outputs are more clinically relevant. Reduce Hallucinations: By nature, these models are less prone to generating information that doesn't align with established medical knowledge. Integrating such models can significantly elevate the reliability of AI-generated clinical documentation. Concluding Thoughts: How to Reduce AI Hallucinations While the integration of AI in clinical documentation offers transformative potential, it's essential to be wary of the risks. By allowing doctors to incorporate their trusted research studies and biases, we can ensure AI outputs that are both accurate and personalized. Furthermore, leaning on healthcare-specific AI models can drastically reduce the risk of hallucinations, ensuring that AI remains a trustworthy ally in the medical field.