AI app for healthcare · no coding needed
Source-linked clinical documentation and coding console
Reduce documentation rework while keeping every clinical statement traceable to the visit.
Made for: Clinics and clinical documentation teams producing notes, codes and reports from patient visits

What it does for you
The problem
Visit conversations are transcribed, coded and reported in separate tools, so notes drift from the audio and clinicians rework the same content.
What it gives you
Clinician-approved notes, codes and reports linked to source audio
What you give it
Consented visit audiopatient data inputsspecialty templatescoding rules
Build your own version of Mediscribe Pro, Freed AI Medical Scribe and more
One app with what these 8 AI tools do, yours to keep and change: Mediscribe Pro, Freed AI Medical Scribe, Knowtex, ClinicFrame, AISOAP, Diagnosis Pad, Abridge, MedReport AI.
Everything these tools do, in one app
- Conversation transcription Records and transcribes patient-clinician conversations in real time.Found in Mediscribe Pro, Freed AI Medical Scribe, Knowtex and 4 more
- Structured clinical notes Automatically generates organized clinical notes from the conversation.Found in Mediscribe Pro, Freed AI Medical Scribe, Knowtex and 5 more
- EHR integration Connects with electronic health record systems to transfer notes and data.Found in Mediscribe Pro, Freed AI Medical Scribe, Knowtex and 3 more
- Customizable templates Lets clinicians tailor note formats and structures to their practice or specialty.Found in Mediscribe Pro, Freed AI Medical Scribe, ClinicFrame and 2 more
- Medical terminology accuracy Optimizes transcription and note generation for medical language and jargon.Found in Mediscribe Pro, Freed AI Medical Scribe
- HIPAA compliance Ensures secure handling of patient data in line with healthcare privacy regulations.Found in Mediscribe Pro, Freed AI Medical Scribe, Knowtex and 3 more
- Billing code generation Automatically suggests billing codes such as ICD-10, E&M, CPT, HCC, and HCPCS from the conversation.Found in Knowtex
- Admin dashboard Provides utilization metrics and operational insights for healthcare administrators.Found in Knowtex
- Note traceability Links each line in the draft note back to the corresponding audio segment for review.Found in ClinicFrame
- Uncertainty flagging Flags unclear or missing information instead of filling gaps with inferred content.Found in ClinicFrame
- Wide specialty support Supports documentation across many medical specialties.Found in AISOAP
- Differential diagnoses Generates a list of potential diagnoses to help clinicians consider possibilities.Found in Diagnosis Pad
- Follow-up question guidance Offers actionable guidance on questions to ask during patient discussions.Found in Diagnosis Pad
- On-device processing Performs transcription and analysis locally on the device to prioritize privacy.Found in Diagnosis Pad
- Patient-facing app Provides patients access to their health information and visit summaries.Found in Abridge
- Report generation Automatically creates detailed medical reports from patient data inputs.Found in MedReport AI
- Natural language summaries Uses natural language processing to produce clear and concise summaries.Found in MedReport AI
How it works, step by step
- Record and transcribe patient-clinician conversations in real time
- Generate structured clinical notes from the conversation
- Link each note line to its audio segment for review
- Flag unclear or missing information instead of inferring it
- Suggest billing codes such as ICD-10, E&M, CPT, HCC and HCPCS
- Apply customizable specialty note templates
- Optimize transcription for medical terminology and jargon
- Support documentation across many medical specialties
- Generate candidate differential diagnoses for clinician consideration
- Offer follow-up question guidance for patient discussions
- Produce natural language visit summaries
- Generate detailed medical reports from patient data inputs
- Transfer approved notes and data to the EHR
- Provide patients access to their health information and visit summaries
- Show utilization and operational metrics for administrators
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-clinician sign-off before consequential use
- Export a versioned clinician-approved note, code set and report with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Source-linked clinical documentation and coding console with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Source-linked clinical documentation and coding console with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare27 KB
- prompt-vps.mdThe same build on your own server (Docker)27 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria14 KB
- demo/index.htmlThe working demo on sample data196 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce documentation rework while keeping every clinical statement traceable to the visit. For clinics and clinical documentation teams producing notes, codes and reports from patient visits, convert consented visit audio, patient data inputs, specialty templates and coding rules into clinician-approved notes, codes and reports linked to source audio. The benefit is a testable hypothesis, measured through clinician-approved notes per documentation hour and corrections after note sign-off; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect consented visit audio, patient data inputs, specialty templates and coding rules, then follow this sequence: 1. Record and transcribe patient-clinician conversations in real time. 2. Generate structured clinical notes from the conversation. 3. Link each note line to its audio segment for review. 4. Flag unclear or missing information instead of inferring it. 5. Suggest billing codes such as ICD-10, E&M, CPT, HCC and HCPCS. Resolve uncertain cases with qualified clinicians, approve clinician-approved notes, codes and reports linked to source audio, and measure clinician-approved notes per documentation hour and corrections after note sign-off against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. On-device processing is used where required; final diagnosis, coding and sign-off remain clinical. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve patient privacy, consent records, source attribution, coding accuracy and usage permissions. Clinicians approve substantive changes and sign-off scope. One specialty and one note template; final diagnosis, coding and sign-off remain clinical. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One specialty and one note template; final diagnosis, coding and sign-off remain clinical. Implement one approved audio format, a bounded representative visit set and the first two task modules: record and transcribe patient-clinician conversations in real time; generate structured clinical notes from the conversation. Support the third module with operator review: link each note line to its audio segment for review. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Clinic-owned EHR systems, authorized visit audio sources and permitted coding references. Cloud or on-device processing, document import/export and patient summary destinations. Start with file exchange and validate destination specifications before promising direct EHR write-back. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Visit capture and consent, Editable note and code review, Patient summary and delivery. Use a visit list for the day, a large central note canvas with the transcript beside it, and a right-hand panel for codes, flags and comments. Let users play the audio segment behind any note line. Display draft, changes requested and signed states. Provide a patient-facing summary link with comments anchored to the relevant visit. Make the task-specific outcome clinician-approved notes, codes and reports linked to source audio visible beside its evidence, review state and value baseline.





