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AI & Agentic Care on HINAI

From digital records to agentic care

Hospitals are digitised, yet clinicians, lab teams, billing staff and leaders still do the heavy lifting by hand. ICT Health adds one AI and agentic layer across the patient journey, for payors, providers and patients, in primary, secondary and tertiary care.

Ambient scribing RIS / LIS Revenue cycle Supply chain AI dashboards
AI scribe: live consultation transcript turned into a draft clinical note, a queued lab order and a proposed follow-up, awaiting clinician approval

Illustrative AI scribe screen

What does agentic AI add to a hospital information system?

A hospital information system records what happened. Agentic AI acts on it: it drafts the clinical note, queues the lab order, prepares the claim or reorders the stock, then waits for a person to approve. HINAI stays the system of record; the AI layer does the repetitive work around it.

Where we are working

Five areas where ICT Health is already working with AI

Each one builds on the HINAI platform and the same orchestration layer, so a hospital can start with one and add the next.

Ambient scribing

AI scribe for OPD & IPD

The AI scribe listens to the consultation and drafts consultation notes, round notes and discharge summaries. It also pulls out clinical intent: "CBC and LFT tomorrow, review in five days" becomes a lab order queued for approval and a follow-up proposed in the scheduler.

  • Works alongside your existing EMR, no rip-and-replace
  • Clinician reviews and approves every note and order
  • No second patient record to maintain
RIS / LIS

Intelligent laboratory and imaging

AI auto-verifies routine lab results within quality-control rules and adds decision support for validation, so technologists focus on the results that need a human. Imaging workflows connect AI diagnostic tools to the PACS / RIS worklist.

  • Higher auto-verification, fewer transcription errors
  • Supports NABL and ISO 15189 quality-driven labs
  • Sample, testing, verification and reporting in one flow
Revenue cycle

Billing and claims agents

One billing orchestrator receives events from every HIS module and routes them to agents for eligibility, charge capture, pharmacy billing, pricing, claims and settlement. Claims agents check documents and mandatory fields, submit, then reconcile responses and remittances.

  • Staff approve suggestions and work only flagged exceptions
  • Document intelligence reads pre-auth letters and payer responses
  • Payor-side tools for adjudication, eligibility and fraud, waste & abuse
Supply chain

Supply chain agents

Demand forecasting from admissions, surgery lists and seasonality drives replenishment, expiry control and stock transfers. Procurement and finance agents handle quotes, purchase orders and PO-GRN-invoice matching, with approval required above set limits.

  • Implant and high-value consumable tracking
  • Cold chain and oxygen monitoring
  • Recall tracing to patients, wards and stores
Real-time insights

AI dashboards for leadership

HIS, ERP, quality, HR and patient-feedback data feed one AI layer that produces role-based dashboards, flags anomalies and answers plain-language questions, so leaders see the hospital in real time rather than in month-end reports.

  • Finance, operations, quality, HR and patient experience views
  • Forecasts and automated alerts
  • Command-centre view of beds, discharges and patient flow
Real-time insights

One view of the hospital, with AI that flags what needs attention

Bed occupancy, discharges, claims and patient experience in one place, a 72-hour admissions forecast, and alerts that come with a drafted next step.

HINAI Insights leadership dashboard with KPIs, a 72-hour admissions forecast and AI alerts
Illustrative dashboard; figures are examples
Agents in action

A stock-out averted during a dengue surge

Hours instead of weeks of phone calls and paperwork. People step in only at approvals and exceptions.

  1. 1 Detect

    Demand agent sees a rise in dengue admissions in the ED and projects IV fluid and platelet-kit demand.

  2. 2 Assess

    Inventory agent forecasts a stock-out before the supplier lead time.

  3. 3 Rebalance

    Surplus stock moves from low-use wards to the ED and ICU at zero cost.

  4. 4 Source

    Procurement agent gets quotes from approved suppliers and ranks them.

  5. 5 Check

    Compliance agent confirms vendor, product registration and budget.

  6. 6 Approve

    Purchase manager gets a one-tap mobile summary to approve.

  7. 7 Execute

    PO issued; supplier agent tracks dispatch and escalates delays.

  8. 8 Learn

    Finance agent matches PO, receipt and invoice; usage retrains the forecast.

Illustrative scenario. The highlighted step is where a person decides.

Humans approve, agents execute

Clinicians sign off notes and orders; managers approve spend above set limits; claims staff work only flagged exceptions. Every agent action is logged for audit.

Document intelligence

OCR and AI read referral letters, lab reports, insurance forms and paper charts, extract the key fields and reconcile them to the HINAI record before they flow into billing, claims and analytics.

Patients and communities

WhatsApp and voice assistants in local languages, the patient mobile app, personalised discharge guidance and remote monitoring for care closer to home. Mobile apps →

How we start

Assess, pilot, then scale

01 · 4–6 WEEKS

AI maturity assessment

A baseline across seven pillars: strategy linkage, objectives, AI use, data, development, process and people, scored by function and site.

02 · 90 DAYS

Pilot a priority use case

A 90-day pilot charter for the first use case, with scope, KPIs measured against your own baseline, and governance agreed up front.

03 · ONGOING

Skill and scale

Role-based AI skilling for leadership, clinicians, operations and IT teams, then scaling the agents that proved their value across sites.

Need advice beyond HINAI? Our AI & Digital Healthcare Consulting team → works with any EMR, HIS or PACS.

AI & Agentic Care FAQs

Direct, factual answers to common clinical, deployment and integration inquiries.

What is agentic AI in a hospital?
Predictive AI recommends; agentic AI plans and carries out multi-step tasks across hospital systems, such as preparing a claim, reordering stock or chasing a discharge, with staff approving at defined checkpoints.
Do we have to replace our EMR to use the AI scribe?
No. The AI scribe sits alongside the existing EMR as a clinical intelligence layer. The EMR stays the system of record; the scribe drafts notes and proposed actions that clinicians review and approve before anything is written back.
Who stays in control of AI decisions?
People do. Clinicians approve notes and orders, pharmacists and purchase managers approve supply actions above set limits, and claims staff work only the exceptions the agents flag. Every step is logged.
Where do hospitals usually start with AI?
With a short AI maturity assessment across seven pillars (strategy, objectives, use, data, development, process and people), followed by a 90-day pilot charter for one priority use case with agreed KPIs and governance.
Enterprise Deployment Ready

Start with one AI use case, measured against your own baseline

Talk to ICT Health about an AI maturity assessment and a 90-day pilot on HINAI.

Cloud or On-Premise ABDM & DHA Ready CMMI ML3* Software Quality