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Date - Webtech X Webflow Template
Aug 4, 2025

Access to audio files

Recording and Transcription Process:

  • Audio Transcription: Patient Notes uses advanced AI technology to transcribe audio recordings into text. This transcription is then used to generate the patient notes.
  • No Audio Access: You, as the user, do not have direct access to the original audio recordings. Only the transcribed text is available within the Patient Notes system. If you would like to access this you can do so by clicking the text under the Recording header-


Audio Retention and Security:

  • Limited Access to Audio: In the rare event of an issue with audio upload, you can contact the support team. However, access to the original audio is restricted to the CTO and CEO of the organization due to security reasons. This is to ensure the confidentiality and privacy of patient data.
  • Data Deletion: All transcripts and audio files are automatically deleted 30 days after the session or earlier if you choose to manually delete them. This policy helps maintain data security and compliance with relevant regulations.

Key Points to Remember:

  • Patient Notes primarily uses transcribed text for generating patient notes.
  • Access to original audio recordings is highly restricted and only available to specific individuals for security purposes.
  • Audio and transcript data are automatically deleted after a specified period (set to 30 days or upon manual deletion) to maintain data security.

Additional Considerations:

  • Data Privacy: Patient Notes adheres to strict data privacy and security standards to protect patient information.
  • Compliance: The system is designed to comply with relevant healthcare regulations and guidelines.

By understanding these details, you can use Patient Notes with confidence knowing that your patient data is handled securely and efficiently.

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FAQs

Frequently asked questions

How does PatientNotes work?

Individual signs up, patient consents, session is recorded, transcribed, AI Model used to generate a draft of your clinical notes, then context gained to create a Patient Summary and any needed letters to medical professionals.

I've been told I can't use ChatGPT with patient information, is it ok to use this?

ChatGPT isn't safe to use with patient information. Data entered into ChatGPT is retained for wider language learning models and often patient information is being entered into ChatGPT without consent. PatientNotes is different. Explicit consent from the patient is required for each session. Transcripts are heavily protected with layers of encryption and strict policies, stored in Sydney in Google's HIPAA compliant data center, and automatically deleted after 30 days.

Is a special microphone required?

Most practitioners start using their default laptop microphone, however for the best results we recommend having a dedicated USB microphone on your desk. Omnidirectional USB microphones work great. Read all about our microphone recommendations on our microphone support page.

Can I use PatientNotes on my mobile phone?

Yes. Navigate to patientnotes.app on your web browser, login, and away you go. Recording works great on mobile devices and on most devices will continue even when the screen locks.

Where are PatientNotes servers located?

PatientNotes runs on servers located in Sydney, Australia. We have plans to have dedicated servers in each country with data stored locally for each user where possible eg. If a user sets their country to United States, their data will reside in the United States.

Does PatientNotes use encryption?

Absolutely. Security and Privacy is critical to protecting personal information. We encrypt all information in transit and at rest. Read more on our Security page.

Is the use of AI in healthcare safe and reliable?

We think of AI as an assistant to the medical practitioner rather than replacing the practitioner in any way. The role of our AI systems are to help produce a draft for the practitioner. Beyond that, it’s up to the practitioner to make the required changes to ensure that the notes are accurate before adding them to a patient record. More broadly, we believe AI has an incredible ability to analyse large amount of data and assist humans, but anything it produces must be validated by a qualified medical professional.

Can AI replace human doctors or healthcare providers?

No. Machines can’t replace doctors or healthcare professionals.

Does the system generate a diagnosis?

The system is fine tuned to not provide a diagnosis and focus just on the facts that were inputted by the healthcare provider during the consultation.

Does PatientNotes comply with all Australia privacy and data retention acts and legislation?

Yes. In Australia we comply with the Privacy Act 1988, Health Records Act 2001 (Victoria) and other national legislation with regards to the storage of personal information. Privacy and Security is critical to our business and we take both incredibly seriously. An important design consideration that we have built into the system is to remove data that isn’t needed anymore, which is why all patient information is automatically deleted after 30 days.

Is PatientNotes HIPAA Compliant?

PatientNotes is fully HIPAA compliant. A Business Associate Agreement (BAA) is available to all US customers. To request a BAA, please contact compliance@patientnotes.app

Do I really need to proofread the drafts PatientNotes produces?

Proofreading clinical notes and letters is of utmost importance to ensure their accuracy and reliability as a representation of the supplied information. Mistakes or inaccuracies in medical documentation can have serious consequences, leading to misdiagnosis, incorrect treatment plans, and compromised patient care. Thorough proofreading allows healthcare professionals to review and correct any errors, inconsistencies, or missing information, ensuring that the final notes and letters are a true reflection of the patient's condition and the provided information. This attention to detail enhances communication, promotes patient safety, and facilitates effective collaboration among healthcare teams.

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