12 modules. 15+ AI models. HIS, Clinical Voice AI, IoMT, and mobile app all-in-one platform for 30 - 500+ bed hospitals.
Accuracy
Latency
Processed
Beds Supported
AI Models
Uptime SLA
Integrated Modules
Every department connected through a single intelligent platform. Data flows seamlessly,
AI powers every workflow.
Core Engine
AI woven into every module not bolted on as an afterthought. Click a capability to explore.
Voice-powered clinical documentation that saves every doctor 2+ hours daily. No typing. No templates. Just talk.
Saved per doctor/day
Languages supported
Transcription accuracy
Dr. Sharma OPD Room 4
Real-time drug alerts, diagnosis suggestions, and evidence-based protocols running silently across every prescription and order.
Drug rules checked
Clinical accuracy
Alert response time
Major bleeding risk. Synergistic anticoagulant effect. Severity: Life threatening.
Replace Aspirin with Clopidogrel 75mg. Monitor INR weekly for 2 weeks.
Recent Checks — Last Hour
AI that forecasts bed demand, optimizes OT scheduling, automates insurance claims, and eliminates bottlenecks before your staff even notices them.
Manual work reduced
Forecast accuracy
Tasks automated
Thursday surge detected. 3 elective admissions auto-rescheduled to Saturday. OT conflict resolved. Extra nursing shift scheduled.
Discharge summaries
24 auto-generatedInsurance claims
18 auto-submittedInventory orders
7 auto-triggeredOPD queues, ICU beds, lab turnaround, pharmacy stock, billing everything feeds into one real time command center.
Integrated modules
Data synchronization
Duplicate data entry
Harvis Command Center Live
OPD Today
+12%
Beds Free
of 200
Lab TAT
↓ 40%
Revenue
+18%
OCC
Res
Free
AI: OT schedule optimized. Pharmacy reorder triggered for Cefixime. Lab TAT improved 12% today.
Beds Supported
Patient Records Managed
System Uptime
AI Models Deployed
A proven 3-phase process that gets your hospital running on Harvis fast with zero disruption to patient care.
We map, migrate, and configure.
Intelligence comes online.
Results start compounding.
These are not hypothetical problems. Every hospital owner we've spoken to faces these exact pains daily. Harvis was built specifically to solve each one.
Doctors spend 3+ hours daily on paperwork instead of patients
Voice AI writes clinical notes in real time. Doctors just speak Harvis documents, codes, and files.
2 hrs saved per doctor, every day₹3–5 lakhs leak every month from billing errors and missed charges
AI auto applies billing codes from clinical notes. Zero missed charges. Zero manual entry errors.
+₹4.2L recovered monthlyPatients wait 45+ minutes, post angry reviews, and switch to competitors
Predictive scheduling optimizes queues, forecasts demand, and eliminates bottlenecks before they happen.
Wait time drops from 48 min to 12 minDrug interaction errors slip through one missed alert can mean a lawsuit
AI checks every prescription against 50,000+ drug interactions in real time. 99.2% accuracy. Zero misses.
Every alert caught. Every patient safe.NABH audits are a nightmare MIS data is scattered across 5 different systems
All 12 departments feed into one platform. NABH indicators and MIS reports are auto-generated, always audit-ready.
100% NABH-ready at all timesLab results take hours to reach the doctor. Nurses re-enter data manually across systems
Lab results stream directly to doctors. Device data auto-populates. Zero duplicate entry across departments.
Real-time data flow. Zero re-entry.If even 2 of these problems exist in your hospital, you're losing lakhs every month. The fix takes weeks, not months.
Harvis integrates with labs, pharmacies, devices, insurance, and government platforms out of the box.
Real results from real hospitals. Not projections. These are measured outcomes within the first 90 days of going live with Harvis.
from billing accuracy alone
from 48 min to 12 min avg
via Voice AI documentation
with the same staff count
automated workflows & alerts
Join hundreds of hospitals across India that are running smarter with Harvis.
Book a free demo and see the platform in action.