MedOrbit · Healthcare
MedOrbit is an AI-native hospital management system built for 23 types of Indian healthcare facility, from solo clinics to hospital chains. It runs the front office, clinical records, diagnostics, pharmacy, revenue cycle and inpatient governance as one platform with over 100 modules, and adds 11 AI agents that take work off the staff rota — answering calls, calling discharged patients, drafting notes, explaining results and appealing denied claims. Every AI action is PHI-redacted before it reaches a model, logged to an audit trail, and gated behind a human approval.
A day with the agents
Illustrative sequence — every step is a shipped capability
Worked example · Front-Desk Voice Agent
OPD and token queue, appointments and scheduler, registration and kiosk, patient portal, CRM and recall, queue displays.
EMR and clinical notes, e-prescribing, drug-interaction decision support, vaccinations, medical records and certificates, telehealth.
Lab (LIS) and QC, radiology with RIS/PACS link, collection centres, home collection, blood bank, critical-value alerts.
Hospital and retail pharmacy, e-pharmacy delivery, controlled substances under NDPS, procurement, inventory and stores, biomedical assets.
Billing and deposits, insurance and pre-authorisation, NHCX cashless claims, PM-JAY / CGHS / ESIC, GST e-invoicing with IRN, denials and TPA settlement.
IPD wards and beds, OT and surgery, emergency and triage, NABH/NABL indicators, compliance and audit, group HQ for chains.
Each agent does one job, and each carries its own guardrail. Product examples on this site are illustrative.
Answers every call in your hospital's name, resolves FAQs, and books appointments straight into your schedule.
Calls every discharged patient on day 2 and day 7, checks recovery, and records structured outcomes.
Turns a recorded consultation into a structured clinical note, ready for the doctor to edit.
Builds a Patient-360 brief — visits, labs, meds, allergies, vitals trend — before the doctor walks in.
Drafts doctor and patient summaries plus a draft prescription, checked against drug interactions and telemedicine schedules.
Explains lab and imaging results in plain language in the patient portal, the moment they release.
Reads inbound referrals, drafts urgency and specialty, and chases missing information before the patient travels.
Classifies why a claim was denied and drafts the appeal, within value and review thresholds you set.
Predicts wait times and proactively updates waiting patients on WhatsApp, rescuing slots before they walk.
Cross-checks medications against RxNorm and openFDA at every admission and discharge, and flags discrepancies.
Renders patient communication into Hindi, Marathi, Kannada and more — and falls back to English rather than guess.
8 roles, each with its own view — and an audit log that records who saw what.
Patient-360 brief before the consultation, AI scribe for the note, draft prescription checked for interactions — all signed by the clinician before anything enters the record.
Ward and bed management, triage, and the aftercare agent's day-2 and day-7 escalations arriving as actionable items.
LIS with analyzer integration, QC workflows, and critical-value alerting that reaches the treating clinician.
Dispensing, NDPS registers, and medication reconciliation cross-checked against RxNorm and openFDA — signed off by a pharmacist every time.
Token queue and scheduler, with the voice agent taking after-hours calls and the queue concierge messaging waiting patients.
Revenue cycle end to end, with the denial agent classifying rejections and drafting appeals for a biller to approve.
Compliance and audit surfaces, NABH/NABL indicators, cost caps per facility, and a kill switch for any agent.
A separate portal for appointments, records and prescriptions, with lab results explained in plain language the moment they release.
These are capability statements, not certification logos. Certificates are published only when they exist.
MedOrbit is an AI-native hospital management system built for 23 types of Indian healthcare facility, from solo clinics to hospital chains. It runs OPD, IPD, lab, pharmacy, billing and over 100 modules on one platform, with 11 AI agents under clinician control.
They answer inbound calls and book appointments, call discharged patients on day 2 and day 7, draft clinical notes from recorded consultations, prepare a Patient-360 brief before each consultation, explain lab results in plain language, triage inbound referrals, appeal denied claims, message waiting patients about delays, reconcile medications against RxNorm and openFDA, and render patient communication into Indian languages.
Seven controls ship in the platform: PHI is redacted before every model call, human sign-off is required by default, every AI action is written to an audit trail, offline evaluations gate releases, per-facility cost caps downshift the model automatically, each agent has an individual kill switch, and DPDP data requests are handled in-system. Identifiers are redacted before any AI call and customer data is not used to train models.
MedOrbit is ABDM-native, with ABHA creation and consent-based record sharing, and supports NHCX cashless claims, FHIR R4 and HL7 v2 interoperability, and PM-JAY, CGHS and ESIC claim flows. These are capability statements, not certification logos — certificates are published only when they exist.
In India. MedOrbit runs in AWS Mumbai (ap-south-1) under the DPDP Act 2023, with consent flows and data-request handling built into the platform.
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