HealthTeky · AI Hospital Operating System

The accountable hospital

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.

For boards, medical directors and CIOs India · English, Hindi, Kannada ABDM-ready · DPDP-aware

Why this, why now

Hospitals do not have an AI problem. They have an accountability problem.

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

Built for the people who actually do the work

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.

Doctor

Record & Ask the Record

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.

Doctor

Ambient scribe

Dictate the consultation; get a structured note and orders extracted deterministically, each safety-checked and queued for your signature.

Nurse

Ward & ICU

Who needs you now, ranked by NEWS2 and its trend; sepsis bundle timers; ISBAR handover written from the record.

Pharmacist

Pharmacy

Dispense-time safety against the record as it is now, first-expiry-first-out batches, controlled-drug rules and antibiotic stewardship.

Radiologist

Radiology & Pathology

Structured reports from your own dictation, and a critical-result clock that closes only when a named person has been told.

Surgeon

Surgery

Pre-op cardiac and VTE risk, medicines to hold with dates, and the WHO checklist enforced as a stop rather than a form.

Patient

HealthTeky Me

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.

Population

Prevent

Screening, chronic-care and vaccination recalls with the rule behind each, and a risk tier that says who to call this week.

CIO

Connect

FHIR R4 reads, HL7 v2 intake from analysers and older systems, ABHA identifiers and consent artefacts, every message logged.

CFO

Revenue

Documentation gaps that cause denials, found before submission, with ICD-10 suggestions for a coder to validate.

COO

Command

Live OPD flow, bed occupancy, clinical risk and AI-safety telemetry for the whole hospital on one screen.

Governance

Guardian

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

What changes between admission and discharge

Before the visit

The history is already taken

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.

In the room

The note writes itself

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.

On the ward

The board says who is getting worse

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.

In radiology

A critical finding starts a clock

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.

At the pharmacy

Checked again before hand-over

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.

At discharge

The summary is ready the same day

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.

After

Nobody falls off the list

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

The page most brochures leave out

A hospital is entitled to know the boundaries before it signs, not after the first incident review.

It does not diagnose

It summarises, drafts and flags. The diagnosis is the clinician's, and the platform is built so that line never blurs.

It does not prescribe on its own

Autonomous prescribing is defined as a level and disabled. It is not a setting your administrator can flip.

It does not read images

No pixels are interpreted. Radiology support works on the radiologist's words.

It carries no outcome claims yet

We will not show you another hospital's numbers as a promise. Your pilot produces yours, measured against a baseline we take together.

The formulary ships as a seed

An unknown drug is flagged rather than cleared, and your formulary replaces ours during implementation.

Languages are limited today

Patient-facing flows cover English, Hindi and Kannada. Anything else is roadmap, not product.

Proof, not promises

Five numbers a ninety-day pilot can actually produce

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.

Documentation minutes per consultation
Timed on a sample, before and after. Not self-reported.
Denial and short-payment rate
As a share of claims submitted, by payer, with reason codes.
Length of stay, case-mix adjusted
Adjusted, or the number moves for reasons unrelated to software.
Time to communicate a critical result
Minutes from the finding to a named clinician acknowledging it. Most hospitals cannot state this today.
Clinician override rate
How often staff reject what the system prepared, per model. Reported by the platform on itself.

The ask

Two wards. Ninety days. A baseline we take together.

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]