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Numbers from real hospitals. Not a pitch deck.

We measure before deployment, and again at 30, 60, and 90 days after go-live. Every number here came from a live deployment — not a projection, not a benchmark, not a competitor claim.

HISPatient EngagementTelemedicineClinical AIKiaoMRCM

Transparency note: Goolk AI is a growing healthcare IT consultancy. All metrics shown are from live deployments. Results are measured outcomes, not projections — verified during active engagements.

Hospital ManagementKarnataka · 120-bed hospital · 10-week deployment

Multi-specialty hospital digitises OPD-to-discharge workflow

Complete HIS deployment replacing 3 legacy systems, integrating billing, pharmacy, and laboratory into a single unified platform.

+34%
OPD throughput
−35%
No-show rate
90 days
Go-live time
Patient EngagementTamil Nadu · 200-bed chain · 8-week deployment

White-label patient app drives +85% increase in online bookings

Branded mobile app with online appointment booking, digital reports, e-prescriptions, and AI symptom checker.

+85%
Online bookings
4.8★
App store rating
89%
Patient adoption
TelemedicinePan-India · Telehealth provider · 6-week deployment

Teleconsultation platform scales to 150+ daily video consults

HIPAA-compliant video platform with e-prescriptions, integrated payments, and WhatsApp follow-up automations built for high-volume use.

150+
Daily consults
<2 min
Avg. wait time
97%
Call completion
Clinical AIMaharashtra · 350-bed hospital · 4-week deployment

Real-time KPI dashboard reduces clinical decision latency by 40%

Hospital intelligence platform with predictive analytics for bed management, staffing, and department load forecasting.

−40%
Decision latency
18%
Better forecasting
24/7
Real-time data
KiaoMKarnataka pilot · Village pharmacies · 5 languages

Rural health kiosk pilot serving communities in Karnataka

AI-powered multilingual kiosk deployed in village pharmacies — providing symptom triage and live doctor teleconsultation.

Pilot
Live in Karnataka
5
Languages
<3 min
Triage time
Revenue CycleBengaluru · Multi-specialty · 12-week deployment

Insurance claim automation reduces denials by 25%

End-to-end RCM automation — claim submission, denial management, and collections intelligence with financial dashboards.

−25%
Claim denials
+25%
Faster reimbursement
₹85L
Revenue recovered

How we measure success

Every engagement begins with baseline measurement — before we write a single line of code, we document the current state. At go-live and 30/60/90 days after, we remeasure the same metrics.

This is how we hold ourselves accountable. If outcomes don't meet projections, we work until they do — it's written into our engagement contracts.

01
Baseline measurement
Current OPD volume, billing cycle time, no-show rate, and key KPIs documented before deployment.
02
Milestone tracking
Fortnightly check-ins during deployment to catch drift early. No surprises at go-live.
03
Post-go-live audit
Formal outcome review at 30, 60, and 90 days. Data-backed, not anecdotal.
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Ready to see results like these for your hospital?

Schedule a free consultation. We'll assess your current systems and tell you honestly what's possible — and what it will take.

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