A 100-doctor hospital that implements Voxmed AI saves ₹47,96,000 every single month. This is not a marketing estimate. It is a conservative calculation built from three independently verifiable data sources. Here is the complete breakdown.
Calculation: 100 doctors × 3 hours/day × 26 working days = 7,800 hours recovered per month.
Doctor cost per hour: A hospital-employed specialist earns ₹80,000–1,50,000/month. At 160 working hours/month (8 hrs/day × 20 days), that is ₹500–937/hour. We use the conservative ₹500/hour figure.
7,800 hours × ₹500/hour = ₹39,00,000 in recovered doctor productivity every month.
100 doctors × 35 patients/day × 26 days = 91,000 total consultations/month. Approximately 20% have insurance (private + government) = 9,100 claims submitted.
Before Voxmed AI: 35% rejection rate = 5,915 claims paid. After Voxmed AI (correct ICD-10 every time): 6% rejection rate = 8,554 claims paid. That is 2,639 additional claims paid per month.
At ₹3,000 average claim value: 2,639 × ₹3,000 = ₹6,96,000 additional insurance recovery per month.
A 100-doctor hospital typically employs 8–12 medical scribes or billing typists at ₹18,000–22,000/month. Using 10 scribes at ₹20,000 = ₹2,00,000/month. Voxmed AI eliminates the need for all of them from day one.
| Savings Category | Monthly Amount | Annual Amount |
|---|---|---|
| Doctor time recovered (100 docs × 78hrs × ₹500) | ₹39,00,000 | ₹4,68,00,000 |
| Insurance claims recovered (2,639 extra × ₹3,000) | ₹6,96,000 | ₹83,52,000 |
| Medical scribes eliminated (10 × ₹20,000) | ₹2,00,000 | ₹24,00,000 |
| Total savings | ₹47,96,000 | ₹5,75,52,000 |
Voxmed AI's custom fee for a 100-doctor hospital is a fraction of this savings figure. The net monthly benefit to the hospital — after our fee — is over ₹38 lakh every month.
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