Artificial Intelligence, in whichever module you want it
AI is not a separate product here. It is a layer over the platform, and you switch it on where it saves your people the most time — the discharge summary, the lab report, the X-ray queue, the prescription, the claim, the camera feed.
Where hospitals put it to work
Seven areas, forty-two places. Start with one.
Clinical documentation
Discharge summary
Drafted from the notes, orders and medication of the whole stay. The doctor reads and signs instead of typing.
Consultation notes
Dictate after the patient leaves. The note comes back in the format that speciality uses.
Operative notes
The surgeon speaks; the note, the implants used and the consumables are drafted together.
Referral letters
A stay or a series of visits condensed into what the next doctor needs.
Telugu and Hindi dictation
Speak in the language you consult in; the record is written in English.
Case sheet summary
Twelve visits reduced to the six lines that matter, before you open the file.
Diagnostics
Lab report analysis
Abnormal values flagged against the patient's own history, not just the reference range.
Delta checks
A result that has moved too far since last time is held for a second look before release.
X-ray analysis
A triage read on chest and bone films, so urgent studies move up the reporting queue.
Radiology report drafting
Structured first drafts per modality for the radiologist to correct and sign.
Culture and sensitivity
Antibiotic options ranked against the organism and your own resistance pattern.
Repeat-test detection
The same investigation ordered twice in a week gets questioned before the sample is drawn.
Prescribing
Prescription preparation
Diagnosis plus your own protocol produces a draft prescription in seconds.
ICD coding
The landmark you mark on the anatomy atlas resolves to a diagnosis and a code.
Interaction and allergy checks
Run before the prescription saves, against everything the patient is already on.
Dose checking
Adjusted for weight, age and renal function, with the reason shown.
Formulary substitution
When a drug is out of stock, an equivalent from your own shelf is offered.
Patient-language instructions
Dosage explained in Telugu or Hindi on the printout and on WhatsApp.
Revenue and claims
Revenue leak detection
A year of orders against a year of bills. What was delivered and never charged comes out as a list.
Claim coding assistance
Procedure and diagnosis codes suggested from the case sheet, before the claim goes out.
Pre-auth completeness
The document checklist checked against what is actually attached, so queries drop.
Denial prediction
Claims that look like ones that were cut last quarter get flagged while you can still fix them.
Short-payment clustering
Hundreds of deduction reasons grouped into the four things you can actually change.
Package overrun alerts
A stay drifting past its package limit is flagged on day three, not at discharge.
Operations
No-show prediction
Which slots will go empty tomorrow, so you can overbook the right ones.
Bed and OT demand
Next week's occupancy by ward and by class, from your own admission pattern.
Stock-out forecasting
What runs out on Thursday, ordered on Monday.
Roster suggestions
Shifts built around leave, skill mix and the days your OPD actually overflows.
Department routing
A patient's stated symptom points the front desk at the right consultant.
Queue and wait analysis
Where the hour actually goes between token and consultation.
Vision on your cameras
Staff attendance
Recognised at the entrance. No punch machine, no queue at shift change.
PPE compliance
Gowns, masks and caps checked at the OT and ICU doors.
Restricted areas
An unattended entry into a drug store or a records room raises an alert.
Front-desk queue
Build-up detected before the complaints start.
Existing cameras
In most hospitals the feed you already record is enough.
Processed on site
Video can stay inside the building; only the event leaves.
Patients and records
WhatsApp answering
Timings, preparation instructions and directions answered without a person.
Report explanation
What the result means, in the patient's language, alongside the numbers.
Duplicate record detection
The same patient registered three times, found and merged.
Legacy record digitisation
Handwritten case sheets read and attached to the right file.
Voice search across the EMR
Ask for every diabetic on insulin admitted last month, and get the list.
Risk-based follow-up
The patients most likely to fall out of treatment get chased first.
Which modules it plugs into
The AI reads what these modules already hold. Nothing has to be entered twice for it.
How we keep it safe
A hospital cannot hand judgement to software. These four rules are not negotiable.
Every output is a draft
Nothing is sent, filed or dispensed on the AI's word. A doctor signs, and the record shows who signed it.
It can run inside your building
Where a hospital will not send data out, the models run on your own hardware.
The trail is kept
What was suggested, what was changed and what was signed are all logged and exportable for audit.
It supports care, it does not practise it
Triage flags and drafts are aids to clinical judgement, never a substitute for it.
Common questions
Where can AI be used inside DeepHealth AI?
Anywhere you want it. The AI sits as a layer over the modules you already run, so it can draft discharge summaries, analyse lab reports, give a triage read on X-rays, prepare prescriptions, find unbilled revenue, forecast beds and stock, watch your cameras and answer patients on WhatsApp. You switch on the parts you want.
Does the AI make clinical decisions?
No. Every clinical output is a draft that a doctor reads, corrects and signs. Triage flags and drafts are aids to clinical judgement, not a substitute for it, and the record shows who signed.
Can the AI run inside our hospital rather than on cloud?
Yes. Where a hospital will not send data out, the models run on hardware inside the building and only the resulting event or draft leaves the machine.
Do we have to buy AI separately?
No. AI is not a separate module you purchase; it is switched on inside the modules you already run. Tell us which workflow costs your staff the most time and we start there.
What does it need from us to work well?
Your own history. The more of your billing, ordering and clinical data sits in one place, the better the forecasting and the leak detection get. That is another reason to have the whole hospital on one record.
Tell us which task eats your week
We will show you the AI working on that one first, on your own data.