Industry · Healthcare
Deploy on-prem, in your private cloud, or hybrid so PHI stays within your perimeter. NABH / HIPAA / DPDPA-aligned audit trails. AI tutor in 100+ languages for multilingual nursing and paramedical workforces. CME credit tracking that satisfies inspectors.
Built for these roles
Compliance frameworks supported
What goes wrong without the right LMS
01
Most enterprise LMSes route learner data through SaaS cloud. For hospitals, that's a non-starter — clinical learning records often link to identifiable patient cases. The compliance team blocks the project.
02
Specialist registrars track credits across multiple bodies (NMC, NABH, ACCME). At renewal time, evidence assembly takes weeks and gaps surface late.
03
A 4,000-bed hospital chain has nursing staff comfortable in Hindi, Marathi, Telugu, Tamil, Kannada. Training in English-only locks out 60% of frontline care.
Our solution
ATC Quest deploys on your hospital infrastructure or in your private cloud. Learning records, AI-tutor interactions, and assessment data stay where the regulator says they should — inside your data perimeter. Five AI agents handle clinical onboarding, CME tracking, multilingual tutoring, and audit reporting in one platform.
Recommended modules
Workforce Training
Auto-enrol new clinical hires; sync to your HRMS / HIS
Learn more about ATCtrain →
AI Tutor
24/7 multilingual tutor on clinical SOPs and drug protocols
Learn more about ATCwise →
Analytics & Compliance
NABH / HIPAA-grade audit reports + at-risk-learner detection
Learn more about ATCpro →
Learning Engine
Generate CME modules from updated guidelines in days, not months
Learn more about ATClearn →
Specific scenarios
Chief Quality Officer
Auto-generate NABH learning evidence packs for the 200+ required staff training items. ATCpro produces a per-employee, per-protocol, per-cycle audit pack signed and tamper-evident. Inspector finds zero gaps.
Director of Nursing Education
500 new nurses join across tier-2 and tier-3 hospitals each year. ATClearn generates onboarding modules from your clinical SOPs; ATCwise tutors in Hindi, Marathi, Tamil, Telugu, Kannada, Bengali. Onboarding ramp ↓ 40%.
CME Committee Chair
Each consultant's CME hours, credits, and certificates tracked against NMC + speciality-board requirements. Auto-alert at 90 days from renewal. Renewal evidence pack generated in one click.
Infection Prevention & Control
Pandemic protocol changes overnight. ATClearn generates the updated training module from the new guidelines + ATCwise answers staff questions in their language + ATCpro confirms 99% completion in 48 hours.
Outcomes
0
PHI bytes leaving your network (on-premise deployment)
↓40%
nursing onboarding ramp time
99%+
compliance training completion rate
~5 min
NABH audit pack generation (was 4 weeks)
Generally no — clinical training uses anonymised case studies. When real PHI is referenced (e.g. de-identified case reviews), the on-premise deployment ensures it stays on your network. We never train AI models on identifiable patient data; only on your clinical SOPs and learning content.
India: NMC continuing education credits, NABH staff training requirements, NABL / NABH-CHCO standards. International: ACCME (US), Royal College (UK), GMC, AMA PRA. Custom frameworks supported via the credit-rule engine.
Yes — for limited learning-relevant signals (e.g. "this nurse has been assigned to ICU, enrol them in ICU protocols refresher"). We do *not* read PHI from the EMR; only role / unit / shift metadata that you authorise.
ATCwise in 22 Indian languages + voice input/output makes training accessible to staff with low English literacy. Common in tier-2/3 hospital deployments and rural primary-care networks.
Pilot (one department, one specialty): 4–6 weeks. Full hospital chain rollout: 8–14 weeks depending on HIS integration depth. Air-gapped tier-3 hospital network deployments take longer due to physical hardware logistics.
30-minute architecture review with someone who knows the regulator and the shop floor.