MemoFaceAI for Hospitals & Healthcare

Every shift.
Every ward.
Every staff member
accounted for.

Hospitals run on people — doctors, nurses, paramedics, and support staff across 3 shifts, 24 hours. MemoFaceAI gives hospital administration real-time workforce visibility across every ward, with zero manual registers and full labour law compliance.

Shift A · 06:00–14:00
Shift B · 14:00–22:00
Shift C · 22:00–06:00
On-call · Live
Apollo Multi-Specialty · HR Command
LIVE
2,184
On Duty
78
Absent
34
Late In
142
On-Call Active
Ward Coverage · Shift B · Now
ICU / ICCU
100% ✓ Full
Emergency
96% ✓ OK
General Ward
83% ⚠ Watch
Paediatrics
72% 🚨 Alert
🔔
On-call triggered — PaediatricsDr. Meera Krishnan & 2 nurses notified. WhatsApp alert sent 18:42. Replacement ETA: 14 min.
180+
Hospitals & clinics across India
24/7
Real-time ward coverage, every shift
₹2.8L
Average monthly payroll leakage recovered
100%
Compliance-ready — NABH, EPF, ESI, Factories Act
The Hospital Workforce Problem

A hospital that doesn't know who is on the floor right now is running a patient safety risk — not just an HR problem.

ICU must never fall below minimum nurse-to-patient ratios. Emergency can't have a staffing gap at 3 AM. When a senior doctor marks attendance through a ward boy, or a night-duty nurse clocks out two hours early without anyone knowing — it's not just a payroll error. It's a clinical risk.

MemoFaceAI gives hospital HR and operations a live view of every ward, every shift. Who is on duty. Who is absent. Which ward is understaffed right now. And which on-call staff can be reached in the next 15 minutes.

Hidden staffing costs · 500-bed hospital · Monthly
Proxy attendance & ghost employees (est. 1.5%)₹1.8L
OT miscalculation — doctors, nurses, paramedics₹72,000
HR admin — manual register compilation (4 staff)₹48,000
Agency nurse billing disputes (avg 6% overbilling)₹54,000
Total monthly leakage₹3.74L
💙 MemoFaceAI recovers per month₹2.8L avg
🏥
Patient Safety
Ward understaffing — invisible until it's an emergency
No real-time headcount means understaffing goes undetected for hours. By the time a nurse shortage in Paediatrics is noticed, patient care is already compromised.
🌙
Night Duty
Night-shift attendance — the hardest to verify, easiest to manipulate
Night-duty registers are signed in the morning by whoever is around. Proxy punching on the night shift is rampant in hospitals — and almost impossible to detect without AI.
📋
Accreditation
NABH requires nurse-to-patient ratios — but nobody tracks them live
NABH accreditation mandates documented nurse staffing levels per ward. Most hospitals compile this retrospectively from paper — and the actual numbers are always worse than reported.
The Fix
Real-time ward-level staffing intelligence — always on
Live headcount by ward, shift, and role. Auto-triggered on-call alerts. NABH-ready staffing reports. Payroll from biometric data. All on existing cameras.
How It Works

From the hospital entrance to the ward roster — automatically.

01
📸
Staff enrolled once during onboarding

Every doctor, nurse, paramedic, and support staff member enrolled with a single photo. Existing hospital ID photos work. No new hardware — cameras already at your entrance and ward entry points are used.

⚡ Bulk enrolment · Existing cameras
02
🧠
AI marks attendance at ward entry — contactless

No touch, no card swipe, no fingerprint — critical in a clinical environment. Staff are identified as they walk past the ward camera. Night-shift entry captured automatically. No register to sign.

🤲 Contactless · Hygienic · Silent
03
🏥
HR sees live ward coverage — with alerts

A single dashboard shows staffing levels per ward, per shift, in real time. When a ward drops below minimum coverage, an alert fires immediately — and on-call staff are contacted automatically via WhatsApp.

🔔 On-call alerts · WhatsApp · Auto
04
💳
Payroll & compliance reports — generated automatically

Shift hours, OT, night-duty allowances, and late deductions calculated from verified biometric data. NABH staffing reports, EPF/ESI registers, and Form 25 generated in one click — always ready for inspection.

📊 NABH · EPF · Greythr · SAP
Platform Features

Built for the clinical environment — not adapted from factory software.

🏥 Ward-Level Tracking

Know who is in every ward, right now — not after the shift ends.

Each ward, department, and critical care unit has its own real-time headcount. ICU, Emergency, Paediatrics, General, OT — all monitored simultaneously from one screen. Coverage gaps trigger instant alerts before they become patient safety incidents.

Per-ward live headcount — ICU, Emergency, OT, all wards
Role-level tracking — doctors, nurses, paramedics, separately
Minimum-coverage thresholds configurable per ward and shift
Coverage gap alerts with automatic on-call escalation
Ward movement history — full audit trail per staff member
See the full product →
Ward Dashboard · Shift B · 18:42
Apollo Multi-Specialty · 2,184 staff on duty
Ward Required On Duty Coverage Status
ICU 24 24 100% ✓ Full
Emergency 32 31 97% ✓ OK
General Ward 48 40 83% ⚠ Watch
Paediatrics 18 13 72% 🚨 Alert
🔔
On-call triggered · Paediatrics ward5 nurses below minimum. Dr. Meera Krishnan + 2 on-call nurses notified via WhatsApp. ETA 14 min.
🌙 Shift & On-Call Management

Night duty, weekend rosters, emergency on-call — all tracked automatically.

Hospitals don't stop at 5 PM. MemoFaceAI tracks all three shifts around the clock — including night-duty allowances, weekend premiums, and on-call activations — with exact clock-in and clock-out times captured at the ward camera. No register. No supervisor sign-off needed.

3-shift + on-call tracking — all captured automatically
Night-duty allowance auto-calculated from actual hours
On-call activation log — when triggered, who responded, how fast
Weekend and holiday premium tracking automated
Shift handover coverage — no ward goes unstaffed between shifts
Book a shift management demo →
Shift Intelligence · Night Duty · 02:14
486
Night staff on duty
142
On-call available
₹3.2L
Night allowance (auto)
On-call log · Last 4 hrs
Dr. Meera Krishnan — Paediatrics
Called 18:42 · On floor 18:56 · 14-min response
Sr. Nurse Anita Rao — ICU cover
Called 22:10 · On floor 22:28 · 18-min response
💊 Nurse-to-Patient Ratios

The metric that defines patient safety — tracked live, not quarterly.

NABH mandates specific nurse-to-patient ratios by ward type. Most hospitals calculate these retrospectively from paper records — and the real numbers are always worse than documented. MemoFaceAI tracks actual nurse presence per ward against live patient census, in real time.

Live nurse count per ward against patient census
Configurable NABH-compliant ratios per ward type
Ratio breach alerts before minimum is crossed
Historical ratio data for NABH accreditation reports
Role-level separation — RN, GNM, paramedic — separately counted
See NABH compliance features →
Nurse-to-Patient Ratio Monitor · Live
NABH-required ratios · Real-time compliance
ICU1:1 ✓ Compliant
6 nurses · 6 patients · NABH requires 1:1
Emergency1:3 ✓ Compliant
8 nurses · 24 patients · NABH requires 1:3
Paediatrics1:7 🚨 Breach
4 nurses · 28 patients · NABH requires 1:5 · 2 nurses short
💳 Payroll & Overtime

Night-duty allowances, weekend premiums, OT — all calculated from verified hours, not claims.

Hospital payroll is complex — doctors on salary, nurses on shift allowances, paramedics on daily wages, agency staff on hourly rates. MemoFaceAI handles all of it. Every element of compensation is calculated from the exact biometric clock-in and clock-out — not from what staff fill in on forms.

Night-duty, weekend, and public holiday allowance auto-calculated
Overtime — exact minutes tracked per staff, per shift
Agency nurse billing verified against actual hours on floor
Direct sync to Greythr, Keka, Zoho People, SAP HCM
Doctor, nurse, and paramedic payroll structures — all supported
See payroll integrations →
Payroll Auto-Summary · October 2025
Staff Role Reg. Hrs Night OT Net Pay
Anita Rao Sr. Nurse 176 +₹8,400 ₹44,200
Ramesh G. Paramedic 208 +₹2,100 ₹22,100
Priya Iyer GNM Nurse 192 ₹31,600
Suresh V. Jnr. Doctor 208 +₹14,400 ₹78,400
Greythr
Synced · 3-min payroll run
₹9.2L OT
This month · Auto-calculated
📋 NABH & Accreditation

NABH assessors ask for staffing data. You hand it over in 60 seconds.

NABH accreditation requires documented nurse-to-patient ratios, shift rosters, staff qualifications verification, and attendance registers. MemoFaceAI maintains all of this automatically — in the exact formats assessors expect — from the first day of deployment.

NABH HCO standards — nursing staffing data pre-formatted
Historical nurse-to-patient ratio data — any date range, any ward
Shift roster documentation — tamper-proof, timestamped
Staff qualification and certification tracking
EPF, ESI, and Factories Act registers — all auto-generated
See compliance reports →
NABH Compliance Centre · AY 2025
📋
Nursing Staffing Standards (HCO 6)
Nurse-to-patient ratios · All wards
READY ✓
🌙
Shift Roster Documentation
All shifts · Signed & timestamped
READY ✓
🏛️
EPF / ESI Registers
Computed from biometric data
READY ✓
Regulatory & Accreditation

Always inspection-ready. Always.

🏆
NABH Accreditation Data

All staffing data maintained in NABH-compliant formats from day one. Nurse-to-patient ratios, shift rosters, staff qualifications — ready for HCO assessment cycles without any additional compilation work from your team.

NABH HCOStaffing standardsAssessment-ready
🏥
Clinical Minimum Staffing Alerts

Configurable per-ward minimum staffing thresholds — below which an alert triggers automatically and on-call staff are contacted via WhatsApp. ICU and Emergency wards can be set to zero-tolerance thresholds.

ICU standardsOn-call auto-alertWhatsApp
📋
Factories Act & Labour Law

Form 25 Muster Roll, EPF and ESI registers, and working hours logs auto-generated in statutory formats for hospital and healthcare establishment staff covered under the Factories Act and state labour regulations.

Form 25EPFESIAudit-ready
🔒
Biometric Data Privacy (PDPA)

All biometric and attendance data encrypted at rest and in transit. India's Personal Data Protection Act compliant. Staff consent captured during enrolment. No biometric data ever leaves the hospital's assigned cloud environment.

PDPAEncryptedConsent-based
🤲
Contactless — Clinically Safe

Face recognition is inherently contactless — no shared fingerprint sensor, no card swipe, no PIN pad. Critical in a clinical environment where hand hygiene and infection control are paramount. Works through standard surgical masks.

No-touchInfection controlMask-compatible
🔗
HIMS & Payroll Integration

Native integrations with Greythr, Keka, Zoho People, SAP HCM, and leading Hospital Information Management Systems. Attendance data flows directly into payroll — no manual extraction, no reconciliation, no data entry errors.

GreythrSAP HCMHIMS ready
Case Study

"Our HR team was spending four days every month just compiling attendance registers before payroll could start. Night-duty was our biggest fraud risk — and we knew it but couldn't prove it. MemoFaceAI ended both problems in the first week. Payroll now runs in 90 minutes on the first of the month."

DK
Dr. Deepak Kapoor
COO · Leading Healthcare Organization, Noida
4 days → 90 min
Payroll processing time
₹2.8L
Recovered · Month 1

How a 600-bed Fortis hospital eliminated night-duty fraud and recovered ₹2.8L — in the first month.

Fortis Noida had 2,400 staff across three shifts and a night-duty attendance problem HR had suspected for two years but couldn't quantify. Monthly payroll took four working days of manual compilation. NABH assessors had flagged incomplete shift documentation in the last cycle. After deploying MemoFaceAI across existing ward cameras — no new hardware, deployed over 5 days — night-duty proxy dropped to zero in the first week. Month-one payroll ran in 90 minutes.

2,400
Staff · 3 shifts · Live in 5 days
₹2.8L
Payroll leakage recovered · Month 1
90 min
Payroll run · Was 4 working days
NABH
Accreditation renewed · Staffing docs ready
Hospital Pricing

Recovers its cost from
the first payroll run.

Pilot Program
₹0 / 15 days

Try with one ward, up to 20 staff. No hardware needed. Live in 48 hours.

  • 1 ward · 20 staff · All shifts
  • Real-time ward attendance dashboard
  • On-call alert trigger
  • Basic OT tracking
Start Pilot Program →
Multi-Facility / Group
Custom

Hospital chains, multi-campus groups, or 500+ staff facilities. Dedicated CSM and onboarding.

  • Unlimited staff & facilities
  • Cross-facility unified dashboard
  • Custom HIMS & ERP integration
  • Group-level NABH data
  • Dedicated CSM & SLA guarantee
  • Priority support · 1-hr response
Talk to us →

A 500-bed hospital with 2,000 staff typically recovers ₹2.8L/month in payroll leakage alone — against a platform cost that starts at ₹500/month.

What Hospital HR Heads Say

From the people who manage 24-hour staffing.

★★★★★

"Night duty was our blind spot for years. Nurses would sign in at shift start and sign out for each other — we knew it was happening but couldn't prove it. Face recognition ended it overnight. Literally. The first night after go-live, 18 people who were supposedly on duty weren't in the building."

★★★★★

"Our NABH renewal was six months away and our staffing documentation was a disaster. MemoFaceAI gave us a full year of retrospective-equivalent data from month two onwards. The assessors spent 20 minutes on our staffing files and moved on. It was the smoothest NABH review we've had."

★★★★★

"Agency nurses were our biggest billing dispute. Every month we'd go back and forth — they'd bill 600 hours, we'd have 550 on the register. With MemoFaceAI, every hour is biometrically verified. We cut our agency overspend by ₹1.4 lakhs in month one without a single argument."

Frequently Asked

Questions hospital administrators ask before signing.

Does it work with surgical masks and PPE?+
Yes. MemoFaceAI is trained to recognise staff wearing standard surgical masks, N95 respirators, and most PPE. It uses periocular features (eyes, forehead, nose bridge) when the lower face is covered. For staff in full-face PPE (like full hazmat suits), we recommend a pre-PPE scan at the changing room camera before gowning.
How fast does it work during shift change when 300 nurses walk through at once?+
Each camera processes faces at lightning speed. For large-throughput ward entrances, we recommend 2 camera lanes in parallel — this handles 400+ staff in under 5 minutes with zero queuing. We've deployed in hospitals where an entire floor shift change of 280 nurses completes in 4 minutes.
Can it handle agency nurses and visiting doctors who aren't permanent staff?+
Yes — both are supported. Agency nurses are enrolled with a temporary profile linked to their agency and engagement period. Visiting doctors can be issued time-limited profiles. Their hours are tracked separately for billing verification, and their profiles auto-expire at the end of their engagement period.
Is biometric health data of staff legally safe to collect?+
Yes. MemoFaceAI collects only facial recognition data (a mathematical representation of facial features — not a photograph), used solely for attendance verification. We follow India's Personal Data Protection Act requirements: written consent is captured at enrolment, data is encrypted and stored in India, individual deletion is available on request, and data is never used for any purpose outside attendance tracking.
How does the on-call alert system work?+
When a ward drops below its configured minimum staffing threshold, MemoFaceAI automatically identifies available on-call staff for that ward and role, sends them a WhatsApp message with ward details and required arrival time, and logs the response time when they arrive. The HR dashboard shows which on-call staff were contacted, when they responded, and when they arrived on the floor.
How long does deployment take for a 600-bed hospital?+
Typically 5–7 days from contract signing to first live shift. Day 1–2: staff photo enrolment (bulk upload from existing HR database or ID photos). Day 3–4: camera configuration at ward entries and main entrances. Day 5: test shift with one ward. Day 6–7: full hospital deployment. We've deployed 2,400-staff hospitals in 5 calendar days.
✚ For Hospitals · Try our pilot program

Every ward staffed.
Every shift verified.
Every payroll exact.

15 days. One ward. Full platform. Contactless, no hardware, live in 48 hours. See your first fraud-free shift this week.

✓ CONTACTLESS ✓ MASK-COMPATIBLE ✓ NABH READY ✓ LIVE IN 48 HRS ✓ NO HARDWARE

Ready to eliminate proxy attendance?


See it live in 30 minutes.

Book a personalized demo. We'll show you exactly how MemoFaceAI works for your institution — and what it costs.

No commitment. 30-minute call. We come to you via Google Meet or WhatsApp.