Safety
Is a patient safer here tomorrow?
Deterioration caught earlier on the ward. Allergy, interaction and kidney checks that run again at the pharmacy counter. A critical scan finding that reaches a named person with the clock running.
HealthTeky · AI Hospital Operating System
Clinical AI that prepares, checks and documents — and stops where a clinician must decide. Fifteen modules on one record, every action recorded in a trail that cannot be quietly edited.
Why this, why now
Any vendor can add a model to a screen. The hard part is answering the questions a board asks afterwards: what did it do, who approved it, what was it validated for, and what happens the day it is wrong. HealthTeky is built around those questions rather than around the model.
Safety
Is a patient safer here tomorrow?
Deterioration caught earlier on the ward. Allergy, interaction and kidney checks that run again at the pharmacy counter. A critical scan finding that reaches a named person with the clock running.
Time
Do my doctors get time back?
The consultation is dictated, the note drafted, the orders extracted and queued for signature. The doctor edits and signs instead of typing.
Money
Does the money improve?
Denials traced to documentation gaps before submission, beds released a little sooner, and patients overdue for care actually called back.
Governance
When it is wrong, can we explain it?
Every AI action carries the model, the version, the sources it used and the person who approved it — in a hash-chained trail that shows if history was altered.
AI prepares. A clinician decides. The record shows who did which.
Nothing clinical takes effect because a model suggested it. Level-4 autonomous clinical execution is defined in the platform and switched off; enabling it would require a validated deployment and a regulator, not a settings change.
Fifteen modules, one record
Each module is owned by a role, not by a department's software budget. They share one patient record, one permission model and one audit trail.
A 60-second patient brief with a source on every line, and answers about the record that are checked for grounding before they are shown.
Dictate the consultation; get a structured note and orders extracted deterministically, each safety-checked and queued for your signature.
Who needs you now, ranked by NEWS2 and its trend; sepsis bundle timers; ISBAR handover written from the record.
Dispense-time safety against the record as it is now, first-expiry-first-out batches, controlled-drug rules and antibiotic stewardship.
Structured reports from your own dictation, and a critical-result clock that closes only when a named person has been told.
Pre-op cardiac and VTE risk, medicines to hold with dates, and the WHO checklist enforced as a stop rather than a form.
Medicines as times of day, visit preparation, recovery check-ins, and a symptom check that escalates to the hospital when it matches an emergency rule.
Screening, chronic-care and vaccination recalls with the rule behind each, and a risk tier that says who to call this week.
FHIR R4 reads, HL7 v2 intake from analysers and older systems, ABHA identifiers and consent artefacts, every message logged.
Documentation gaps that cause denials, found before submission, with ICD-10 suggestions for a coder to validate.
Live OPD flow, bed occupancy, clinical risk and AI-safety telemetry for the whole hospital on one screen.
Model registry with kill switches, the audit chain and its verification, approved protocols, and a safety test suite you can run on demand.
One patient, one day
A link collects it in the patient's language, stops at a red flag and escalates rather than carrying on. The doctor starts with a structured history in hand.
Dictation becomes a structured note. Medicines and tests are extracted deterministically — not inferred — checked against allergies, kidney function and interactions, and queued for a signature.
NEWS2 with its twelve-hour trend and the labs driving it. When infection is suspected, the Hour-1 sepsis bundle runs a visible clock and records what was done late as late.
Detected in the radiologist's own dictation, so a redraft cannot lose it. The alert closes only when someone records who was told, how, and whether they repeated it back.
Against the record as it is at that moment — including the creatinine that arrived after the prescription was written. A contraindicated medicine goes back to the prescriber, not over the counter.
Drafted for the clinician and again in plain language for the patient, with a recovery plan and check-ins that reach a nurse when the answer is red.
Follow-ups, screening and chronic-care checks come back as a recall list with the rule and the evidence behind each item.
What we will not claim
A hospital is entitled to know the boundaries before it signs, not after the first incident review.
It summarises, drafts and flags. The diagnosis is the clinician's, and the platform is built so that line never blurs.
Autonomous prescribing is defined as a level and disabled. It is not a setting your administrator can flip.
No pixels are interpreted. Radiology support works on the radiologist's words.
We will not show you another hospital's numbers as a promise. Your pilot produces yours, measured against a baseline we take together.
An unknown drug is flagged rather than cleared, and your formulary replaces ours during implementation.
Patient-facing flows cover English, Hindi and Kannada. Anything else is roadmap, not product.
Proof, not promises
Each is measured the same way before and after. A hospital that skips the baseline cannot prove anything at the end — and neither can we.
The ask
At the end you will have your own numbers, a compliance pack printed from real use, and your clinicians' verdict. If those do not convince you, we will both have learned something worth the quarter.
Next step
A working session with your clinical sponsor and CIO
Contact
[Name] · [email] · [phone]
Prepared for
[Hospital name] · [date]