AI by Industry · Hospitals

AI & Cyber Security for Hospitals and Multi-Speciality Groups

The world's leading hospital groups deploy AI where it removes work from clinicians and risk from the organisation: documentation, scheduling, triage support, billing and security. They do not send patient records to a public cloud model, and they treat cyber security as patient safety. This is that standard, built for an Indian hospital on infrastructure the hospital owns.

  • 6 moduleseach with a number attached
  • Private by defaultmodels and data on servers you own
  • Human in the loopa named person signs every decision
  • ConfidentialNDA on request, no client names

What the leaders in hospitals require from AI

  • 01Patient data stays inside the hospital

    Models and vector stores run on the hospital's own servers. DPDP Act 2023 obligations for health data are met by design, not by contract.

  • 02Clinical decisions remain clinical

    AI drafts notes, prioritises worklists and flags risk. Diagnosis and treatment are decided and signed by the treating doctor.

  • 03ABDM and NABH aligned

    Records structured for Ayushman Bharat Digital Mission interoperability; audit trails and access control that a NABH assessor can inspect.

  • 04Security as patient safety

    Hospitals are the most-targeted ransomware sector worldwide. Network segmentation, device isolation and tested recovery are non-negotiable.

Module by module — what AI does, what we deliver, what you measure

01

Patient Flow, Appointments & Bed Management

Fewer no-shows, shorter waits, and beds allocated on prediction instead of phone calls.

What the AI does

  • Books and reschedules OP appointments on WhatsApp and phone in Tamil and English
  • Predicts no-shows and overbooks intelligently
  • Forecasts discharges and admissions to plan bed and ICU capacity
  • Sends pre-visit instructions, reminders and post-discharge follow-ups

What we deliver

  • AI front-desk assistant integrated with your HIS/HMS
  • Bed and OT board with predictive occupancy
  • Queue management and patient notification system
  • Department-level wait-time analytics

What you measure

Higher OP throughput and bed utilisation without adding front-desk staff.

02

Clinical Documentation & Discharge Summaries

Doctors dictate; the system writes the note, the summary and the prescription draft.

What the AI does

  • Transcribes consultations (with consent) and structures them into SOAP notes
  • Drafts discharge summaries from the inpatient record, investigations and medications
  • Checks drug interactions and dose ranges against the formulary and flags for review
  • Codes diagnoses and procedures (ICD-10) for billing and insurance

What we deliver

  • On-premises speech-to-text and clinical language model
  • Templates by department, editable and signed by the clinician
  • Integration with the EMR/HIS and pharmacy module
  • Complete audit trail of drafts and edits

What you measure

Doctors spend consultation time with the patient, and discharge is not delayed by paperwork.

03

Radiology & Lab Worklist Prioritisation

Critical findings reach the reporting doctor first; routine studies queue behind them.

What the AI does

  • Screens incoming X-ray, CT and lab results and prioritises the worklist by likely urgency
  • Flags critical values and abnormal patterns for immediate attention
  • Pre-fills structured report templates for the radiologist to confirm
  • Tracks turnaround time per modality and reporting doctor

What we deliver

  • Worklist prioritisation engine connected to PACS/LIS (vendor-neutral where possible)
  • Critical-result alerting to the on-call doctor's phone
  • Reporting assistant with department-approved templates
  • Turnaround dashboards for the quality team

What you measure

Critical results reported sooner; reporting doctors' time spent on judgment, not typing.

04

Revenue Cycle, Insurance & TPA Claims

Claims submitted complete the first time, denials predicted, and leakage found.

What the AI does

  • Prepares pre-authorisation and claim documents from the clinical record
  • Predicts likely denials and corrects documentation before submission
  • Reconciles TPA settlements against billed amounts and flags short payments
  • Detects unbilled consumables, procedures and bed days

What we deliver

  • Claims workspace integrated with HIS billing and insurance desk
  • Denial-risk scoring and document checklist per insurer
  • Settlement reconciliation with Tally or your ERP
  • Revenue leakage reports for the finance head

What you measure

Faster settlements, fewer denials, and revenue that was previously lost now captured.

05

Protocol, Policy & Staff Assistant

Every nurse and resident can ask the hospital's own protocols and get a cited answer.

What the AI does

  • Indexes clinical protocols, NABH policies, SOPs, formulary and HR policies
  • Answers questions with the exact document and version
  • Drafts incident reports and audit responses in the hospital's format
  • Reminds departments of expiring licences, calibrations and training

What we deliver

  • Private hospital knowledge assistant on intranet and WhatsApp
  • Version-controlled policy library with department access
  • Compliance calendar with alerts
  • Usage analytics for the quality department

What you measure

Consistent practice across shifts and a quality team ready for any inspection.

06

Hospital-Grade Cyber Security & Medical Device Isolation

HIS, PACS, lab analysers and patient WiFi separated, monitored and recoverable.

What the AI does

  • Learns normal traffic between HIS, PACS, lab and ward devices and alerts on anything new
  • Detects ransomware behaviour — mass encryption, lateral movement — within minutes
  • Identifies unknown devices and rogue access points on the hospital network
  • Screens incoming e-mail for phishing aimed at billing and administration

What we deliver

  • Network segmentation design: clinical, administrative, medical-device and guest zones
  • Firewall and monitoring appliances with alerts to your IT team's phones
  • Offline, versioned backups of HIS and PACS with a tested restore drill
  • Patient WiFi isolation and e-mail security (SPF, DKIM, DMARC, MFA)

What you measure

An attack on one PC does not become an attack on the hospital, and recovery is measured in hours.

Where hospitals get breached

  • Ransomware on HIS and PACSRegistration, billing, lab and imaging stop; the hospital reverts to paper for days and patient safety suffers.Our fix: Segmented network, hardened servers, endpoint protection, immutable backups and a rehearsed restore plan.
  • Patient record leakageReports shared on personal WhatsApp or unsecured portals; DPDP Act penalties and reputational damage.Our fix: Secure patient portal, data-loss controls, encrypted storage and staff policy with monitoring.
  • Medical devices on the open networkAnalysers, monitors and imaging consoles run old software and cannot be patched; they become the entry point.Our fix: Dedicated device VLAN with strict allow-lists, no internet from device zones, traffic monitoring.
  • Billing e-mail fraudFake insurer or vendor e-mails redirect settlements or extract patient data.Our fix: DMARC enforcement, MFA, payment-change verification and AI mail screening.
See the full cyber security programme →

The standard every module is built to

  • 01Private by default

    Models run on the company's own server or a private VPS. Contracts, patient records, ledgers and price lists never leave the building.

  • 02Grounded, cited answers

    Every assistant answers from the company's own documents and shows the source. When the answer is not in the data, it says so.

  • 03Human in the loop

    AI drafts, ranks, flags and forecasts. A named person approves anything that touches money, patients, contracts or people.

  • 04Measured, not assumed

    Each module starts with a baseline (hours, days, error rate, cost) and reports against it. If the number does not move, the module is redesigned.

  • 05Governed

    Access control, audit logs, model versioning and a written AI policy aligned to ISO/IEC 42001, ISO/IEC 27001 and India's DPDP Act 2023.

  • 06Owned outright

    Source code, models, prompts and data pipelines are handed over. No per-seat licence to us, ever.

Questions hospitals leaders ask us

Does the AI make diagnoses?

No. It drafts documentation, prioritises worklists, flags critical values and prepares claims. Every clinical decision is made and signed by the treating doctor. This is the standard the world's leading hospital groups follow and the one we build to.

Will patient data go to the cloud?

Not unless the hospital chooses it. Our default is a GPU server inside the hospital, with models, records and logs staying on premises. This is how we meet DPDP Act 2023 obligations for health data by design.

Can this integrate with our existing HIS?

Yes. We integrate through the HIS vendor's APIs, HL7/FHIR where available, or database-level connectors where the vendor permits. ABDM-compatible record structures are supported.

Where should a hospital start?

Two places pay back fastest: cyber security (because the downside is existential) and either discharge documentation or claims. We assess both in the first visit.

Do you also serve small clinics?

Yes — see our separate programme for clinics, diagnostic labs and pharmacies, scaled to a single-doctor practice.

Free consultation

Tell us your biggest bottleneck. We'll tell you which module comes first.

Thirty minutes on the phone or at our Anna Nagar West office. You leave with a baseline to measure, a first module, and — if it makes sense — a fixed quote. No obligation.

Every client engagement is confidential. We do not publish client names, project details, screenshots or testimonials without written permission, and we sign an NDA before any assessment on request.

Want your own team trained to build this? See our AI & Machine Learning Course.

Free, no obligation. We reply within one working day. Prefer to talk now? WhatsApp +91 90031 20915. Your details are confidential and never shared.