Real hospitals. Real rupees recovered.
Every number below is from an actual 7-day pilot. No projections. No estimates.
₹18.4 Lakhs recovered in first 30 days
Their ICU was running at 69% utilization. Average bed turnaround was 9.2 hours between discharge and next admission. The CMD had no visibility into real-time patient status.
Sidora deployed in 48 hours. Discharge Autopilot coordinated all teams via WhatsApp. The CMO received a daily revenue report every morning.
Within the first week, average turnaround dropped to under 3 hours and the CFO began receiving Monday revenue reports showing exactly what Sidora had recovered.
₹31.2 Lakhs saved in adverse event prevention in 90 days
High patient acuity meant deterioration was often caught too late. Critical alerts were missed during shift handovers. Average response time to a deteriorating patient was 42 minutes.
Sidora's AI risk model surfaced early-warning signals 6–12 hours before clinical deterioration, with WhatsApp escalation to the on-call cardiologist.
Adverse events plummeted, ICU length of stay shortened, and the unit recovered hundreds of thousands of rupees in avoided complications and faster turnover.
₹2.1 Cr monthly across the chain after 6 months
Chain leadership had no comparable performance data across hospitals. Each site managed beds independently, leading to wildly different utilization rates.
Sidora rolled out across all 8 hospitals in 3 weeks. The chain dashboard benchmarked every location side-by-side. Best practices spread automatically.
All 8 hospitals lifted utilization within a quarter and the group CFO now sees a single chain-wide revenue recovery number every Monday.