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For health systems, clinics, and clinical documentation teams

Turn private clinical transcripts into notes clinicians can verify.

Transcription captures what was said. GoPX helps provider teams turn private transcripts, patient context, and visit type into editable SOAP notes with missing-fact detection, validation warnings, and clinician approval.

Try the clinical note prototype
Interactive prototype

Review the note, not a black box.

Open a clickable clinical documentation workspace with a synthetic patient transcript, editable SOAP sections, missing-fact checks, validation warnings, suggested follow-up questions, clinician approval, regeneration, and export.

Open the healthcare prototype
Clinical Note Assistant prototype with a patient transcript, patient metadata, editable SOAP note sections, missing facts, validation warnings, suggested follow-up questions, and approval controls.
After transcription

Five steps from conversation to an approved clinical note.

The transcription system can be yours or a third party's. The documentation layer begins once the transcript arrives and keeps each transformation visible to the clinician.

  1. 01

    Capture the transcript

    Ingest the clinician-patient conversation from the transcription system the organization already uses.

  2. 02

    Assemble visit context

    Combine the transcript with patient metadata, medications, allergies, visit type, and approved organization templates.

  3. 03

    Draft the SOAP note

    Generate editable Subjective, Objective, Assessment, and Plan sections in the provider's preferred terminology and structure.

  4. 04

    Validate and question

    Flag unsupported statements, missing facts, incomplete follow-up timing, and questions the clinician may want to ask before finalizing.

  5. 05

    Clinician approves

    The clinician edits, regenerates, approves, and exports the note. The model proposes; the clinician remains the final authority.

Clinical documentation workspace

The cognitive work after speech-to-text.

A private assistant can support the documentation workflow without pretending to replace clinical judgment.

Transcript review

Keep the source conversation visible beside the generated note so clinicians can compare claims against what was actually said.

Patient and visit context

Carry demographics, medications, allergies, and visit type into the draft without hiding the source fields.

Editable SOAP sections

Generate each note section as clinician-editable text, not a locked answer from the model.

Missing-fact detection

Surface absent dates, vitals, adherence details, and other context needed to finish the note.

Validation warnings

Call out statements that appear unsupported by the transcript or inconsistent with the available visit context.

Suggested follow-up questions

Turn gaps into concrete questions a clinician can ask before approval.

Approval and regeneration

Let clinicians revise sections, regenerate a draft, and explicitly approve the final note.

Controlled export

Export only the reviewed note into the provider's downstream workflow.

Illustrative private architecture

Run the documentation assistant in an environment you control.

A representative deployment can keep the application, orchestration, model runtime, transcripts, and approved notes inside infrastructure selected by the provider. Components remain replaceable as requirements change.

  1. 01 Material UI + React clinical workspace
  2. 02 FastAPI application boundary
  3. 03 LangChain or equivalent orchestration
  4. 04 Ollama local model runtime
  5. 05 Open-weight LLM: Mistral, Llama, Qwen, Gemma, or Kimi
Organization aligned

Learn the documentation style. Preserve human authority.

Approved transcript-and-note pairs can help align a private model or retrieval layer to the organization's terminology, templates, specialty patterns, and review expectations. That alignment should make review faster, not remove it.

  • Learn from approved examples, not unreviewed model output.

  • Keep every generated section editable and attributable to source context.

  • Surface uncertainty and missing facts instead of filling gaps silently.

  • Require clinician approval before a note is treated as final.

Current status

GoPX is inviting healthcare provider teams to scope private clinical documentation pilots using synthetic or appropriately governed data. The current prototype is illustrative and is not a certified medical device or a production EHR integration.

Discuss a healthcare pilot

See it on a clinical documentation workflow.

A 45-minute working session. We map your transcript-to-note workflow, review the private deployment options, and show how clinicians stay in control. No generic pitch deck.

  • Use synthetic or appropriately governed sample transcripts
  • Review editable notes, missing facts, and validation warnings
  • Get an honest read on workflow and deployment fit