10decodersClinical notes that write themselves.
Physicians at a multi-physician outpatient clinic were typing or dictating a consultation note after every encounter, then copying it into the EMR by hand. 10decoders deployed Scribemonk — record the encounter, and a structured clinical note comes back with the medical terminology extracted and highlighted, ready to review and push to the chart in one click.
The note was written twice, and filed once.
Clinical documentation at the practice ran on memory and typing. A physician finished a consultation, held the detail in their head until there was a gap in the schedule, then typed or dictated a note from recall. The notes varied in structure from physician to physician, clinical terminology got lost or misheard in the transfer, and the finished note landed in a document rather than the chart — so someone re-entered it into the EMR afterwards. Two passes over the same information, with an opportunity for drift in each.
10decoders built Scribemonk to collapse that into one pass. The physician selects the patient, picks a note template, and records the encounter. Scribemonk runs the audio through four automated stages — upload, clinical audio analysis, medical data extraction, and report generation — and returns a structured note with diagnoses, medications and conditions extracted from free-form speech and highlighted for verification. The physician reviews, edits if needed, and syncs to the EMR in one click. No recall, no retyping, no second entry.
From typed-from-memory to recorded and structured.
The challenge
- Every consultation note typed or dictated manually after the encounter, from recall
- Note structure varied between physicians, with no enforced clinical format
- Clinical terminology — diagnoses, drug names, conditions — lost or misheard in transfer
- Notes lived in documents outside the EMR, requiring a second manual entry into the chart
- Chart completion lagged the encounter, holding up billing and downstream care
Our approach
- A three-step capture flow — patient, template, record — that ties audio to the right chart
- A four-stage AI pipeline that converts the recording into a structured note unattended
- NLP/NER extraction that pulls clinical terminology out of free-form speech and highlights it
- Template-driven structuring so every note of a given type comes back in the same shape
- Direct EMR sync, with download, print and share for referrals and patient copies
Built for the clinic, not just the recording.
Transcription is the easy part. The work is turning speech into a note a clinician will sign and an EMR will accept.
Template-driven capture
The physician chooses SOAP, Process or Meeting before recording, and the template determines how the AI structures the finished note.
Four-stage pipeline
Upload, clinical audio analysis, medical data extraction and report generation run in sequence with a visible progress state and no physician input.
Medical term extraction
Diagnoses, medications and conditions are identified in free-form speech and highlighted in the transcription view so the clinician can verify at a glance.
Structured note generation
The summary view returns the note in its four clinical sections, formatted to documentation standards and ready for review and sign-off.
One-click EMR sync
The finished note is pushed into the patient record and marked as synced — removing the copy-paste step and the drift that came with it.
Practice management portal
Doctors, employees, departments, appointments and payments sit alongside the transcription workflow, with role-based access across the team.
Four capabilities. One platform.
Scribemonk covers the path from the moment the recorder starts to the moment the note lands in the chart.
Patient intake & recording workflow
A guided patient, template and recording flow that links every consultation recording to the correct patient record, with the template choice determining how the AI structures the finished note.
Four-stage transcription engine
An automated pipeline that carries consultation audio through upload, clinical audio analysis, medical data extraction and report generation — returning a complete transcription with clinical terminology highlighted and no clinician input required.
Structured note summary
A four-section clinical note generated from free-form consultation audio — subjective, objective, assessment and plan — formatted to clinical documentation standards and ready for physician review and sign-off.
EMR sync, download & share
One-click sync pushes the completed note into the patient's record and marks it as synced, while download, print and share options cover referrals, audits and patient copies.
From recorded encounter to a chart-ready note.
Four steps take a consultation recording through to a structured, verified note in the EMR.
Select patient & template
The physician picks the patient record and the note format — SOAP, Process or Meeting — before the recorder starts.
Record the encounter
The consultation is captured as audio and queued for processing on completion, with no post-encounter typing.
AI structures the note
Four stages run unattended — analysis, medical term extraction and report generation — returning a structured draft.
Review & sync to EMR
The clinician verifies the highlighted terminology, edits if needed, and pushes the note into the chart in one click.
Choose the structure. AI does the rest.
Three templates cover the encounter types the clinic runs, and each one changes how the AI shapes the output.
SOAP note
Subjective, objective, assessment and plan — the standard structure for outpatient consultations, follow-ups and diagnostic encounters. The AI generates all four sections from free-form audio.
Process note
Procedure and treatment documentation, structured for surgical notes, clinical procedures, infusion records and any encounter that needs step-by-step procedural detail.
Meeting note
A narrative summary format for care team discussions, family meetings, multidisciplinary reviews and administrative consultations.
Documentation that keeps up, in your control.
What changed for each group — and the controls the platform is built on.
Review, not recall
The post-encounter task changes from writing a note from memory to checking one that already exists. Clinical attention goes to verifying the record rather than reconstructing it.
Consistent, terminology-verified
Template structuring and term extraction mean notes of the same type come back in the same shape, with diagnoses, drug names and conditions surfaced for verification rather than left to recall.
Chart-ready and controlled
Recordings and notes are held in an access-controlled environment with role-based permissions and NDA-bound teams. Source code and IP ownership remain with the client throughout.
