For clinicians · Clinical workspace

Spend the consult with the patient, not the keyboard.

A focused patient chart with everything in one place — vitals, encounters, files and reports, insurance and live wearable trends. Record the visit as a voice note; a structured SOAP draft is waiting on your dashboard by the next room.

Voice → SOAP in ~30s ICD-11 + AI synthesis Signed & SHA-256 hashed
medichive.in/app · clinical
Priya Sharma · 34 F
Shared via consent link · read-only
Consented
BP
128/82
Resting HR
61 bpm
HbA1c
6.1%
Systolic BP · 6 months
Clinical Wearable
ICD-11 · 5A11 synthesis
AI-generated · physician review
Three encounters and two reports match type 2 diabetes. HbA1c trending down 6.8 → 6.1% over six months; last lipid panel within range.
SOAP draft ready
From voice · 28s
Note signed
SHA-256 · immutable
Built for clinical trust
Owner-or-consent reads Source-cited guidelines ICD-11 coded SHA-256 signed notes Web · iOS · Android
Clinical workspace

The whole patient, in one focused chart

Built for the consult, not the billing department. Everything a doctor needs to read a patient quickly and document what changed — on web, iOS and Android, gated by the patient's consent.

A focused patient chart

Web · iOS · Android

Demographics, allergies, problems and meds, encounters, files and reports, vitals and insurance — each on its own tab, all in one place. The chart reads top to bottom the way the consult runs.

ICD-11 analyse, on demand

AI synthesis

Search any ICD-11 code on a patient's chart and the AI synthesises matched findings across history, reports and uploaded documents into one summary.

Trends, overlaid

Clinical + wearable

Clinical readings and live wearable vitals plotted on the same timeline — every value, not just the latest. Spot the trend, not just the snapshot.

Voice → SOAP in seconds

Record · review · sign

Record the visit in-app; the AI drafts a structured SOAP note plus history deltas. Review, edit and sign — the chart updates itself.

See the flow

Insurance on file

Payer · cover · network

The patient's policies are right in the chart — payer, cover and benefits — alongside the cashless network hospitals nearest to them. No phone calls to confirm.

Access on the patient's terms

Consent-gated

You see a patient only when they share — via a time-limited link, a QR, or a standing invite. Every read is owner-or-consent and audit-logged; consent can be revoked any time.

Diagnosis Centre

A differential that lives with the chart

Your working differential is saved to the patient — ranked, seeded from their active problems, and waiting where you left it at the next visit. The AI proposes; you decide.

Ranked & persistent
Order candidates by likelihood and add your reasoning. It stays on the chart between visits — no more rebuilding your thinking from the last note.
AI candidates, grounded
One tap asks the AI for chart-grounded candidates — each with an ICD-11 code and a why drawn from the patient’s own trends, labs and history — plus short workup steps for the hypotheses you already hold.
Advisory by design
The differential and its visit plan inform your thinking. They never edit the chart, and nothing is ordered from here.
Working differential
Neil D. · saved to this chart
Advisory
Hereditary haemochromatosis
Likely
Ferritin 465 → 1180 with transferrin saturation climbing in lock-step — the trend, not one value.
NAFLD with type 2 diabetes
Possible
Explains the label on the chart — not the iron studies.
Alcohol-related liver disease
Ruled out
History and enzyme pattern don’t support it.
Suggested workup
AI · grounded in this chart
For haemochromatosis: HFE genotyping · repeat transferrin saturation. Every suggestion cites the chart it came from — and nothing is ordered from here.
Decision support

Guidelines at the point of care

Source-cited nudges, scoped to your specialty and computed from the patient's own data — surfaced in the chart, never invented by the model.

Computed, not guessed
Staging is deterministic — e.g. CKD-EPI 2021 eGFR mapped to a KDIGO stage from the patient's creatinine. The AI cites the guideline; it never makes up the number.
Scoped to your specialty
Pick your department and you see only the guidelines that apply — from cardiology and nephrology to endocrinology, paediatrics and psychology.
Advisory — accept or dismiss
Every nudge is an accept/dismiss card that links its source. It informs the chart; it never changes it. Keep what's useful, dismiss the rest.
KDIGOADAWHOACC / AHANYHAGINAGOLDDSM-5-TRPHQ-9mhGAPICMRRSSDICSIIAPFOGSI+ more
KDIGO · CKD staging
Source-cited · advisory
Stage G3a
eGFR 48 mL/min/1.73m² (CKD-EPI 2021, creatinine 1.4) → G3a. KDIGO 2024 recommends ACR testing and annual eGFR monitoring.
Accept Dismiss KDIGO 2024
ADA · glycaemic threshold
Source-cited · advisory
At goal
HbA1c 6.1% is within the ADA Standards of Care target (<7.0%) for most non-pregnant adults.
medichive.in/app · consult brief
Priya Sharma · 34 F
New consultation
Your last report flagged a low vitamin D. How long have you had the tiredness you mentioned?
About three weeks — worse in the mornings.
Any new medications, or changes to the levothyroxine dose?
No changes. Still 50 mcg daily.
Consultation brief
Hive Intelligence · synthesised
Routine
Three weeks of morning fatigue on stable levothyroxine; low vitamin D on the latest panel. Hypothyroidism otherwise controlled. Suggested focus: recheck vitamin D, review symptom burden.
Before the visit

Patients arrive prepared

When a patient requests a consultation, a short adaptive questionnaire gathers the story first — then hands you a structured brief, so the room starts where the form usually ends.

Adaptive, grounded follow-ups
The AI starts from the chief complaint and asks targeted, jargon-free questions informed by the patient's own out-of-range labs — not a fixed form.
A structured brief, ready to read
You get a synthesis, an advisory triage hint, reported symptoms and answer highlights — the chart's findings and meds stay where they already live.
Surfaced where you'll see it
Patients with an unreviewed brief float to the top of your roster with a badge, and a notification deep-links straight to the chart. Read it, mark it reviewed.
Check-ins · between visits

Send a check-in. Get back a map.

Assign an interactive check-in from a consultation or straight from the chart. It lands on the patient's Today tab — and the answer comes back drawn on a body, scored and summarised.

Pain, on an anatomical figure
Patients mark where it hurts and how much. You read severity as heat on the same figure — comparable visit after visit.
Emotion map & mood meter
For mental health: where an emotion is felt in the body, and a pleasantness-by-energy mood grid — signal a questionnaire rarely captures. Practising psychology? There's a whole workspace for you.
Scored deterministically, looped back
Completion notifies you; the summary and score are computed — never model-invented — and feed the patient's next consultation brief.
Pain map
body check-in
Returned
R shoulder · severe L knee · mild
Mood meter
mental-health check-in
‹ unpleasantpleasant ›
Tue · calm — pleasant, low energy.
Assigned in consultTue 09:12
Dr. Mehta sends a pain map from the consultation
Completed on the Today tabTue 18:40
Priya marks 2 regions on her phone
Summary returnedTue 18:41
Worst: right shoulder, severe — notification + chart summary for the doctor
How it works

From consent to a signed note

Three steps. The patient stays in control of access; you stay in the consult.

Step 01

The patient shares

The patient hands you a time-limited link or QR, or adds you as a trusted doctor. Their full record — history, trends, insurance — opens in your workspace.

Step 02

Read the chart, fast

Scan vitals and overlaid wearable trends, problems and meds, files and reports — and run an ICD-11 analyse to pull matched findings into one AI-written summary.

Step 03

Document & sign

Record a voice note; review the SOAP draft, edit and sign. The note becomes immutable with a SHA-256 hash, the record updates, and the patient is notified.

Built for healthcare data

Security & compliance, by default

A HIPAA-aware Google Cloud architecture with patient-set consent at the core.

Encryption

  • Cloud KMS-managed regional keys
  • OAuth tokens KMS-wrapped at rest
  • TLS 1.2+ end to end
  • Encrypted Firestore + GCS

Access control

  • Firebase Auth + JWT
  • Owner-or-consent on every read
  • Per-IP rate limiting on intake
  • Role-separated admin surface

Audit logging

  • Every PHI read/write recorded
  • 7-year retention in Cloud Logging
  • PHI scrubbed from metadata
  • SHA-256 hashed signed notes

In flight

  • Anthropic BAA being executed
  • Phone-MFA on dashboard sign-in
  • Configurable session timeout
  • DSAR purge workflow

Clinical use is in limited beta while our BAA with Anthropic is executed.

Never an empty workspace

Day one, your workspace opens with a patient

Get verified and your chart isn't blank — it's a specialty-matched demo patient whose story lives in the trend. One per department (19 and counting), each built so the diagnostic tell is in the data. Try the differential, run a check-in, ask Hive — before your first real patient.

Cardiology
HFpEF, hiding
NT-proBNP climbing 180 → 890 across four reports.
the tell is in the trend
General medicine
Iron overload
Ferritin + transferrin saturation rising in lock-step behind a T2DM label.
ranked working differential included
Psychology
Generalised anxiety
42 nights of wearable data + trending PHQ-9 / GAD-7 / PSS-10.
mood correlated with sleep & HRV
Private beta

See it on a patient of your own

We're onboarding a small number of practices. Tell us who you are and we'll schedule a short walkthrough — bring a real case and we'll document it together.

  • Private beta — no card, no commitment
  • Setup in minutes — no hardware required
  • Short walkthrough — bring a real case

Ready now? Apply directly — we verify your registration with the NMC or RCI register and email your sign-up link, usually within two days.