Long patient wait times, reduced throughput, and higher operational costs.
Lost revenue opportunities, declining patient satisfaction (CSAT), and reputational risk.
Escalating recruitment/training costs and deteriorating quality of care.
Limited scalability, slower response times, and reduced patient trust
India’s healthcare automation market growing at 10.6% CAGR
Increasing digital adoption post-NDHM (Ayushman Bharat Digital Mission)
Opportunity to improve patient onboarding and efficiency
India’s healthcare automation ecosystem estimated at ~USD 1.5 billion today, and projected to grow to ~USD 3 billion by 2030, representing a CAGR of ~10.6%.
(Supply chain, pharmacy-automation and AI sub-segments are growing at 10-40%+.)
While automation is growing rapidly, most mid-sized hospitals remain trapped in fragmented, manual, and non-interoperable tech ecosystems — the very gaps AutonomIQ is built to close.
Front-Office Systems
Leads to duplicate data entry, lost context between departments, and poor visibility of patient interactions.
Repetitive Digital Tasks
Increased operational cost, human error, and slower turnaround times across outpatient and diagnostic functions.
Integration with National Digital Health Infra
Hospitals risk missing interoperability benefits, patient trust, and future reimbursement readiness.
Indian hospitals are losing ₹1–1.5 Cr in annual efficiency and growth gains by staying manual, a gap easily bridged by AI-enabled automation
80 % of Tier-2/3 hospitals still rely on manual calls for scheduling and inquiries. Conversational AI can cut call volumes by 35–45 %.
Fewer than 30 % of hospitals have end-to-end integration between HIS, billing, and diagnostics (vs. 70 % + globally)
Only ~20 % of hospitals actively use analytics dashboards for occupancy, revenue, and KPIs. AI-enabled peers see a 20–25 % throughput gain.
High demand, low integration, and cost barriers create the perfect case for scalable, affordable automation
India has ~70% of healthcare delivery driven by private providers, but most operate as standalone entities with little data sharing or integration.
Public hospitals handle >60% of inpatient load with only ~25% of national bed capacity, creating a patient–staff imbalance of up to 1:1,800 in many states.
Only 10–15% of mid-sized hospitals use any form of workflow or conversational automation due to cost and integration barriers.
Despite initiatives like Ayushman Bharat Digital Mission (ABDM), fewer than 20% of hospitals are FHIR- or NDHM-compliant, limiting participation in India’s upcoming health data network.
AutonomicQ turns every hospital into a smart, multilingual, compliance-ready ecosystem from booking to billing.
AutonomicQ automates 80 % of patient interactions — appointments, lab reports, billing, insurance claims — via multilingual voice and chat (Hindi, Tamil, Marathi, Bengali, English).
Cuts front-desk workload by 70 %, reduces waiting time by 40 %, and boosts patient satisfaction scores.
Integrates securely with EMR, HIS, CRM, and call-center systems to enable unified access to patient data and real-time updates. FHIR-ready and ABDM-compliant for interoperability.
Eliminates data silos, speeds up coordination between departments, and improves information accuracy by 25 – 30 %
Automates repetitive digital tasks (booking, reminders, feedback logging, invoice delivery) while providing live dashboards for occupancy, revenue, and KPIs.
Drives 20–30 % operational efficiency gain and enables faster, data-driven decisions.
From hospitals to pharmacies, AutonomicQ delivers measurable efficiency, transparency, and patient trust.
Streamlined patient scheduling, automated enquiries, lab and billing status via multilingual AI assistant integrated with HIS/CRM.
Lightweight, plug-and-play conversational layer for appointment booking, patient reminders, and follow-up coordination.
Automated prescription refill requests, 24 × 7 customer query resolution, and integration with hospital systems for e-invoicing.
Reduces front-desk workload by 70 %, improves appointment throughput by 25–30 %, and cuts waiting time by 40 %.
Frees up staff time by 50 %, lowers no-show rate by 20 %, and boosts repeat visits.
Increases customer retention by 30 %, shortens service turnaround by 45 %, and ensures full-time digital availability.
