For clinicians
The history is already briefed before the patient sits down — including the contraindication buried in a 2024 paper chart. Start from a structured draft, add procedures in your own words, and sign only what reads like you.
Clinical AI — guided product tour · India
Press play and take the guided tour: a presenter walks you through HealMDCare in six narrated slides, set in a busy outpatient department at KYC Hospital — a fictional multi-specialty center in Bengaluru. Follow one complex case, Sarah's, from the paperwork she carries into the waiting room to a signed note, transparent coding, and edge-tokenized privacy.
About three and a quarter minutes, with presenter voiceover throughout. You can pause, jump between slides, or replay at any point. Every hospital, name, number, and note in the tour is fictional and simulated for demonstration.
Slides advance automatically with the narration. Use the player below to pause, step back, or jump ahead.
Presenter narration
Welcome to HealMDCare. Let's look at the daily reality of a busy outpatient department at a premium medical center in Bangalore. Before a patient even steps into the examination room, a massive documentation bottleneck exists. Patients arrive with crumpled handwritten slips, disjointed WhatsApp PDFs from neighborhood labs, and uncollated imaging histories. Traditionally, a doctor must manually hunt through this paperwork while the clock ticks. Look at the screen. HealMDCare's omni-channel edge ingestion instantly parses these legacy printouts, trends the data, and delivers an actionable, thirty-second clinical summary directly to the consultant's dashboard.
On the left, what the patient actually carries in: paper slips, a lab PDF forwarded over WhatsApp, an old X-ray jacket. On the right, HealMDCare's local processing container on the clinician's device turns that pile into a 30-Second Doctor Brief — before the consultation begins.
Sarah (42F) — Senior Lead Engineer at a Tech Park.
Documented Stage 3 Chronic Kidney Disease (CKD) with a baseline Creatinine of 1.8 mg/dL. CRITICAL WARNING: NSAIDs strictly contraindicated.
High HbA1c (7.4%) extracted from a disjointed diagnostic PDF dated 3 weeks ago.
Presenter narration
Now, look at the live encounter. In high-volume Indian corporate hospitals, doctors face compressed consultation windows where patients describe complex pain using mixed-dialect code-switching. Sarah weaves Kannada and Hindi phrasing with technical corporate jargon. Notice how HealMDCare's localized language models listen through the conversational noise. It filters the vernacular terminology, catches her dangerous self-medication with NSAIDs, and maps the entire physical exam straight into standardized international clinical English. Watch as the doctor clicks 'Generate Draft'.
Sarah describes her pain the way patients actually speak — Kannada and Hindi woven into corporate English. HealMDCare listens through the code-switching, flags the NSAID self-medication against the kidney history from Slide 0, and compiles a structured draft in standardized clinical English.
Presenter narration
HealMDCare does not just scribe; it acts as a real-time clinical safety net. Recognizing the high risk of cervical radiculopathy, the copilot immediately brings forward critical screening questions translated into the patient's exact language to check for red-flag neurological emergencies. Simultaneously, it cross-references the patient's historical kidney disease with current clinical evidence, serving up precise non-systemic interventional paths.
The draft stays center screen while the copilot slides in beside it: red-flag screening questions in the patient's own language, and a kidney-safety cross-check that steers the plan away from systemic medication toward localized intervention.
Right upper back pain and radiating arm paresthesia × 2 months.
Positive Spurling's maneuver on the right, reproducing radiating forearm pain. Palpable, hyperirritable trigger point noted in the right upper trapezius muscle with referred pain pattern. Diminished light touch sensation in the right ulnar nerve distribution.
Right upper trapezius Myofascial Pain Syndrome with secondary right cervical radiculopathy vs. Cubital Tunnel Syndrome.
Presenter narration
Our primary rule is uncompromised: accountability stays human. The note remains a draft until signed. Watch as Dr. Cole adds the specific localized medication dosage he administered for the trigger point block and signs the chart. The system logs the human edit instantly.
The note sits under an explicit review status — it cannot finalize itself. Dr. Cole types the procedure he performed directly into the Plan, approves, and the Live Audit Trail records the human edit the moment it happens.
Right upper back pain and radiating arm paresthesia × 2 months.
Right upper trapezius Myofascial Pain Syndrome with secondary right cervical radiculopathy vs. Cubital Tunnel Syndrome.
Presenter narration
Once approved, documentation flows seamlessly across different hospital operational roles while enforcing hard data segregation. On the left, medical coders see automated ICD-10 recommendations. Hovering over a code draws a glowing vector connector line straight to the sentence in the signed note that justifies it—making insurance approval fast and fully auditable for corporate TPA clearinghouses. Meanwhile, on the right, hospital administrators see real-time throughput dashboards tracking clinic bottlenecks across branches. They see flow and queue metrics; patient notes, transcripts, and audio files are outside the administrator's access. Operational insight is delivered without expanding privacy liabilities.
One signed note, two strictly separated workspaces. Coders trace every suggested code back to its evidence sentence; administrators see flow across KYC Hospital's branches — and nothing clinical, ever. Diagnosis coding is shown in ICD-10; the procedure code is shown in CPT format for illustration — coding frameworks adapt to local payer requirements.
Positive Spurling's maneuver on the right, reproducing radiating forearm pain. Palpable, hyperirritable trigger point noted in the right upper trapezius muscle with referred pain pattern. Diminished light touch sensation in the right ulnar nerve distribution.
Administered trigger point injection of 1% lidocaine (2mL) into the right trapezius muscle with excellent local twitch response and immediate myofascial release. NSAIDs deprescribed (Stage 3 CKD). Referral for diagnostic medial branch block / transforaminal epidural injection.
| Visible here | Never visible here |
|---|---|
| Queue volumes & bottlenecks by branch | Patient notes |
| TPA verification turnaround | Transcripts |
| Review turnaround trends | Audio files |
Codes on this page are shown for this fictional encounter to demonstrate format and rationale style. They are not a coding recommendation for any real encounter.
Presenter narration
Underlying this entire infrastructure is uncompromised edge privacy. Dragging the shield across the data snippet demonstrates our hybrid-edge architecture: all Protected Health Information is tokenized locally on the clinician's physical device before a single byte moves forward. That's HealMDCare—less time documenting, more time with patients. Click below to request an architecture walkthrough for your health system.
Drag the shield across the snippet. Ahead of the slider is plaintext, exactly as captured on the clinician's device. Behind it, every identifier has already been replaced with a token — tokenized locally, before anything moves forward.
The history is already briefed before the patient sits down — including the contraindication buried in a 2024 paper chart. Start from a structured draft, add procedures in your own words, and sign only what reads like you.
See the suggested code and the exact sentence in the signed note that supports it, connected on screen. Insurance approval becomes a verification with an audit trail, not a back-and-forth.
See throughput, TPA turnaround, and queue bottlenecks across branches in real time — without ever seeing patient text, names, transcripts, or audio. Flow visibility with hard role-based segregation.
HealMDCare Demo — India • Guided tour with simulated data — not the production product • Production details shared under NDA