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JamEMR

Now enrolling pilot practices

The EMR that gives clinicians their time back.

JamEMR is an AI-native electronic medical record. Ambient AI drafts your clinical notes, document intelligence files your paperwork, and every byte of patient data stays inside your environment.

  • Physician-founded
  • Privacy-first
  • Built for real clinical workflows

Animated illustration: four scattered records (a referral letter, a lab report, an MRI report and a prior note) gather into a stack, the relevant lines are highlighted, a structured draft forms from them, and a physician reviews each item before signing. All content is synthetic.

  1. 01 Records gather
  2. 02 Relevant lines highlight
  3. 03 A structured draft forms
  4. 04 The physician reviews and signs

Illustrative sequence with synthetic records. Not a real patient or a live screen.

Watch JamEMR

One minute, nineteen seconds. The whole idea.

The gap between what a clinician knows and what the paperwork holds. How JamEMR closes it with connected, evidence-linked information, and why the clinician always has the last word.

  • Clinicians and patients in the room, not at a keyboard
  • Records read, structured and traced back to their source
  • Drafts reviewed item by item and signed by the physician
Narration is in English; Arabic subtitles can be switched on in the player. Interface scenes are illustrative and use synthetic data. Every note shown is reviewed and signed by a clinician. Some capabilities mentioned, such as suggested diagnosis codes, are on our roadmap and labelled as such on the features page.

Why JamEMR

Less software friction. More medicine.

Most EMRs made clinicians into data-entry clerks. JamEMR was designed by a physician to reverse that.

Documentation writes itself

Ambient AI captures the visit and drafts the clinical note for your review — no more evenings lost to charting.

Patient data stays local

Clinical AI runs on dedicated hardware inside your environment. PHI is never sent to third-party consumer AI clouds.

AI-native, not AI-bolted-on

Intelligence is built into the record itself — documents, labs, and encounters become structured, searchable knowledge.

How it works

From conversation to signed note, with a human at the end of every line.

Five stages. The first four happen on hardware inside your practice. The fifth is you.

  1. 01

    Conversation

    The visit is captured with the patient’s consent. Audio never leaves the practice.

    Local capture
  2. 02

    Transcript

    Speech is transcribed and attributed to clinician and patient on local hardware.

    On-premise AI
  3. 03

    Structured facts

    Problems, medications, findings and plans are extracted with a pointer to their source.

    Evidence-linked
  4. 04

    Draft note

    A SOAP draft is assembled from the facts. It is marked as a draft until a clinician acts.

    Draft only
  5. 05

    Physician review

    Accept, edit or reject each item, then sign. Every step lands in the audit log.

    Human signature

Ambient Documentation

See how a visit becomes a note you can trust.

Step through a synthetic neurology follow-up: the conversation, the AI draft with its sources, and the physician review that decides what enters the record.

  • Draft SOAP notes ready for review as the visit ends
  • Audio processed locally — never sent to consumer AI clouds
  • Every draft, edit, and signature captured in the audit log
  • Clinician review and sign-off required on every note
Learn about ambient documentation

Interactive demonstration

Synthetic example · not a real patient

Stage 1 · Conversation

The visit, as it was spoken

Captured in the room with consent, transcribed on the practice’s own hardware.

  1. Clinician 00:12

    How have the headaches been since we started the preventive?
  2. Patient 00:18

    Much better. Maybe four days last month instead of ten.
  3. Clinician 00:26

    Any new symptoms? Weakness, numbness, vision changes?
  4. Patient 00:31

    No, nothing like that. The diary helps me keep track.
  5. Clinician 02:14

    Good. We will continue the same dose and review again in three months.

Stage 2 · Draft note

A SOAP draft, with its sources attached

Each statement points back to the moment in the conversation it came from. Nothing here is part of the record yet.

Subjective

Draft

Headache days reduced from about ten to four per month since starting preventive therapy. Denies weakness, numbness or visual change. Keeping a headache diary.

source 00:18 source 00:31

Objective

Draft

Neurological examination documented by the clinician as non-focal.

source exam

Assessment

Draft

Migraine without aura, improving on current preventive therapy.

source 00:18 source 02:14

Plan

Draft

Continue the current preventive at the same dose. Continue headache diary. Review in three months, sooner if the pattern changes.

source 02:14

Stage 3 · Physician review

The clinician decides, item by item

Try it: accept, edit or reject each suggestion. Signing stays locked until the source review is confirmed, which mirrors how the product behaves.

  • Subjective

    Headache frequency: 4 days per month

  • Plan

    Preventive therapy continued at current dose

  • Objective

    Neurological exam non-focal

  • Plan

    Review in three months

Privacy-first architecture

The AI stays where the patients are.

Most healthcare AI ships your patients' records to someone else's cloud. JamEMR runs its clinical AI on dedicated hardware inside your environment — transcription, document intelligence, and the assistant all process PHI locally.

Read the security overview

Role-based access control

Least-privilege roles keep every user limited to exactly what their job requires.

Audit logging

Chart access and changes are recorded, including every AI draft, edit, and signature.

HIPAA-aligned program

Designed to support your HIPAA obligations, with BAAs executed before any PHI is handled.

Operational discipline

Versioned database migrations, approval-gated administrative changes, and revocable API tokens.

Pilot Program

Be one of the practices that shapes JamEMR.

We are enrolling a small number of pilot practices. Pilots get guided deployment, direct access to the team building the product, and real influence over the roadmap — with clear agreements and honest expectations at every step.

Ask about the pilot
  1. 1

    Scoping call

    We learn your workflows, volumes, and requirements — and tell you honestly whether JamEMR fits today.

  2. 2

    Agreements first

    Pilot agreement, and a Business Associate Agreement before any patient data is involved.

  3. 3

    Guided deployment

    We deploy, configure roles and access, and train your team on-site or remotely.

  4. 4

    Measure together

    We track documentation time saved and workflow quality with you, openly.

Ready to see your notes write themselves?

Request a demo or ask about the pilot program. A human replies — usually within one business day.