Product · Healthcare

AI EHR

An electronic health record for hospitals and clinics where AI does the data entry. Lab reports, scans and wearable data are filed into the patient record, so clinicians spend their time on patients, not on re-keying.

Illustrative preview of a patient summary. Sample data, not a real patient.

The record is only as good as what gets into it

Most hospital data lives in PDFs, devices and separate tools. Someone has to type it in, and what is not typed in is not in the record.

  • Lab reports arrive as PDFs and images, and results are re-keyed by hand.
  • Outpatient, inpatient, pharmacy and blood bank run on disconnected tools.
  • Wearable and device data never reaches the clinician's view of the patient.
  • Emergency transport and teleconsultation sit outside the patient's record.

AI that fills the record

Three intake paths bring data in without manual entry, each with a human review step for anything uncertain.

Lab report intake

Lab report PDFs and images are processed by our extraction pipeline and the results arrive in the patient record as biomarkers with reference ranges, units and dates. Low-confidence results are routed to a person.

BiomarkersReference rangesHuman review

Smart scan

Image-based scans are sent for analysis, tracked through a status workflow and stored with the device result against the patient.

Scan statusDevice results

Wearables and devices

Sleep, activity, stress, heart rate, HRV, oxygenation, glucose and blood-pressure data from connected wearables is stored per patient and shown alongside clinical data.

SleepHeart rateGlucoseBlood pressure

One record across the hospital

The core EHR and hospital operations share a single patient record, with dashboards for each role.

Patient records

Demographics, medical history, family members, drug allergies, over-the-counter medication, physical examinations and clinical documents.

AllergiesHistoryDocuments

OPD and IPD

Outpatient visits and follow-ups, inpatient beds and admissions, with a transaction trail for each.

VisitsBedsAdmissions

Prescriptions and pharmacy

Prescriptions linked to a medicine catalogue, with batch stock, suppliers, purchases, billing and transactions.

BatchesSuppliersBilling

Blood bank

Blood bags and components, donors, issues and a transaction history.

DonorsComponentsIssues

Radiology and reports

Upload and retrieve radiology files and patient reports in one place.

RadiologyReports

Telemedicine

Video consultation rooms with chat, recordings and call-quality tracking, linked to the appointment.

VideoChatRecordings

Ambulance dispatch

Emergency calls with live location history, trip routes and an SOP checklist.

Live trackingSOP checklist

Examinations and goals

Configurable examination categories and parameters, plus patient goals and activity tracking.

TemplatesGoals

Notifications and audit

In-app notifications, login history and activity logs for oversight.

Activity logLogin history

Built for the people who use it

Doctors
A dashboard of appointments, patient history, lab biomarkers and prescriptions, plus video consultations from the same screen.
Reception and front desk
Registration, appointment booking, visit and follow-up tracking, and pre-screening questionnaires.
Hospital administrators
Departments, staff, master data, pharmacy stock and operational dashboards across the facility.
Patients and clients
Their own records, reports, goals and activity, and teleconsultations from home.
Pharmacy and blood bank
Batch-level medicine stock, suppliers, purchases and bills, and blood bags, components, donors and issues.
Emergency and transport
Ambulance calls with live location history and an SOP checklist for each trip.

Built like a product, not a prototype

Modern stack

A Next.js web application over a NestJS API, with PostgreSQL through Prisma, object storage for files and WebSockets for live views.

Role-based access

Separate roles and dashboards for admins, hospitals, doctors, receptionists and patients.

Tested

Backend services and frontend components are covered by automated test suites.

A clinician at a patient's bedside in a hospital ward

Clinical data deserves a configuration review

Health data is regulated differently across countries and institutions. Compliance depends on how the system is deployed and configured: where data is stored, who can access it, how long it is kept. Every AI EHR engagement includes a review against your obligations before go-live. This is configuration guidance, not legal advice.

See AI EHR with your own workflows

A working session covering your departments, your lab and device inputs, and the review steps you need.