AI inpatient workflow assistant for Indian hospitals

Your discharge summary is trapped in three places.

At discharge, doctors are forced to pull together memory, handwritten records, and HIS/HMS data under time pressure. Assistha unifies them into a structured inpatient record and prepares a review-ready summary for doctor edit and approval in minutes.

Regional-language voice Handwriting and scans HIS/HMS integration Clinician final control

Discharge bottleneck

Why discharge gets delayed
Daily IPD reality
Doctor Paper HIS / HMS → One discharge-ready view
1
Doctor’s mind Clinical context
Clinical course, decisions, complications, advice, and final plan.
2
Paper file Bedside records
Handwritten notes, nursing charts, outside reports, forms, and prescriptions.
3
HIS / HMS Operational data
Labs, imaging, radiology, medication, billing, TPA, and patient master data.
Unified inpatient record Ready for doctor review at discharge.

Physician point of view

Doctors should review discharge, not reconstruct the patient stay.

The problem is not just writing one summary. It is rebuilding the case from memory, paper files, and the HIS at the very end. Assistha captures this context through the stay and prepares a draft the doctor can review, edit, and approve.

1. Today

Doctors recall and chase scattered context

Clinical reasoning sits in memory while bedside notes, outside reports, and HIS tabs remain disconnected.

2. Assistha

Assistha structures the case as care happens

Voice, handwriting, forms, scans, and HIS/HMS data are continuously organized into one inpatient record.

3. At discharge

The physician reviews, edits, and approves

The summary is ready for final clinical judgment instead of being rebuilt manually from scratch.

What hospitals feel first

Discharge becomes review, not reconstruction.

Hospitals usually feel the first ROI at discharge because that is where fragmented records, doctor time, bed blocking, billing delay, and TPA follow-up collide.

Pilot measurement
78.3%
Lower manual discharge-preparation cost per case measured in pilot context.
Selected model scenario
1,600 hrs
Doctor-hours/month released in an illustrative calculator scenario.

Figures are shown separately on purpose: pilot measurement reflects manual discharge-preparation cost reduction, while calculator values depend on hospital-specific assumptions such as discharge volume, ALOS, occupancy, doctor time, and revenue model.

The real problem

Indian hospitals do not only have a discharge-summary problem. They have a scattered-patient-record problem.

Assistha starts solving this from admission itself — by capturing voice, photos, handwritten records, forms, scans, and HIS/HMS data as the patient journey evolves so the doctor sees one structured record at discharge.

1

Clinical context is with people

Consultants, residents, nurses, and ward staff carry important context in conversations, rounds, handovers, and instructions.

2

Clinical evidence is on paper

Bedside files, nursing charts, previous prescriptions, handwritten notes, old reports, forms, and outside records remain fragmented.

3

Operational data is in the HIS

Labs, radiology, imaging, billing, pharmacy, patient registration, and TPA details sit inside the HIS/HMS layer.

Assistha creates one structured, reviewable inpatient record.
That record then powers discharge, dashboards, forms, orders, billing support, and HIS/HMS enrichment.
See it on your cases

Admission to discharge

The record keeps building as the patient moves through IPD.

Assistha does not wait until discharge to reconstruct the case. It captures and structures information across the inpatient journey.

1

Admit by voice or simple input

Speak in regional language or enter basic details. Assistha helps create the structured admission record.

2

Capture any record

Take photos of handwritten notes, old files, forms, prescriptions, reports, or scans. Assistha structures them.

3

Document naturally

Doctors and staff can speak, upload images, type comments, or use existing HIS/HMS data without changing their habits.

4

Place clinical orders

Medication, pharmacy, lab, imaging, and radiology orders can be created from structured clinical context.

5

Discharge assembles itself

At discharge, Assistha prepares a review-ready summary from the full patient journey for doctor review, editing, and approval.

Live inpatient visibility

A doctor and staff dashboard that evolves as data comes in.

The same information that feeds discharge can also create a live IPD/ICU operational layer for ward teams, consultants, medical superintendents, and hospital leadership.

What this changes for hospital teams
  • Doctors: less discharge reconstruction, faster review, final editing control.
  • Medical superintendent: better IPD visibility, auditability, handover clarity, and discharge readiness.
  • CFO / owner: lower discharge delay, better bed turnover, cleaner billing and TPA context.
  • Staff: voice, photos, forms, and existing records become usable without parallel data-entry work.

Illustrative dashboard shown with anonymized placeholder data.

IPD / ICU live overview Illustrative mock
12 Beds updated in the last hour
4 Cases nearing discharge review
3 Billing / TPA context checks
Bed 12 · ICU Post-op review updated

Consultant note, vitals, and medication context are aligned for review.

new note review pending
Bed 07 · CCU Nursing handover captured

Fresh bedside update connected with latest labs and medication sheet.

handover ready chart synced
Bed 19 · IPD Discharge likely today

Investigations, treatment course, and advice are already structured.

discharge watch doctor edit
Bed 03 · IPD Billing context flagged

Treatment and discharge context available for final billing or TPA check.

billing check closure next

Start with discharge, expand across IPD

One inpatient intelligence layer. Multiple hospital workflows.

The recommended adoption path is simple: start where ROI is most visible — discharge — then expand into admission, documentation, orders, dashboards, forms, billing support, and HIS/HMS write-back.

Discharge

Review-ready discharge summary in minutes

Combines doctor notes, handwritten records, scans, labs, radiology, medication, billing, and HIS context.

Admission

Voice-assisted IPD admission

Capture admission information by speaking to the patient, entering comments, or combining voice with structured data.

Records

Photo-to-structured patient record

Take photos of handwritten notes, old records, charts, and forms. Assistha structures them into electronic records.

Orders

Pharmacy, lab, imaging, and radiology orders

Use structured clinical context and regional-language voice to support order creation workflows.

Dashboard

Doctor, staff, and leadership visibility

As notes and records arrive, dashboards evolve with the latest patient context and operational signals.

HIS / HMS

Integrates with your existing system

Assistha enriches the hospital system of record instead of replacing it or creating a parallel silo.

Economics for CEOs and CFOs

What is discharge delay costing your hospital?

Instead of claiming one universal saving number, Assistha models your hospital’s discharge leakage using your own assumptions: discharge volume, ALOS, room value, doctor time, billing delay, and TPA impact.

In the demo, we model your hospital’s numbers Bring discharge volume, current average delay, ALOS, and doctor-time assumptions.
Discharges per month Your value
Current discharge-preparation time 45–120 mins typical range
Doctor-hours spent on discharge summaries Modeled from your workflow
Bed blocking / occupancy cost Based on your room economics
Billing and TPA delay impact Selected assumptions
Selected illustrative scenario
₹4.81 Cr/year

Lower selected annual impact in one calculator scenario based on discharge delay, room occupancy cost, doctor effort, and selected lost-revenue assumptions.

Actual result depends on your hospital’s numbers. The strongest demo is to bring 3 recent discharge cases and your current discharge-delay assumptions.

Recommended CFO framing: treat financial estimates as a hospital-specific model, not a blanket promise. Pilot measurement and calculator modeling should be discussed separately.

Deployment and trust

Built to fit Indian hospital reality.

Assistha is designed for hospitals where documentation is mixed-format, doctors are busy, regional-language workflows matter, and HIS/HMS replacement is not practical.

No HIS/HMS replacement required
On-premise deployment option
Supports DPDP-compliant models
HIPAA-compliant workflows
Clinician final approval
Regional-language and handwriting support

Bring 3 recent discharge cases. We will show the workflow.

We will demonstrate how Assistha reads scattered records, combines them with HIS/HMS context, prepares a review-ready discharge summary, and shows how the same record can support dashboards, orders, forms, billing, and TPA workflows.