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Healthcare

Unifying patient data across 6 hospital sites to cut wait times by 40%

Belief Hospital operated on three disconnected EMR systems across six sites, leading to data silos, repeated diagnostics, and frustrated patients. Durrani Tech delivered a unified cloud health data platform and AI-assisted triage module.

Client

Belief Hospital

Industry

Healthcare

Services

IT ConsultingCloud ServicesAI / ML

Duration

9 months

40%

reduction in average patient wait time

60%

reduction in scheduling admin effort

₹1.2Cr

annual savings from eliminated duplicate diagnostics

4.7/5

patient satisfaction score (up from 3.1)

The Challenge

Belief Hospital's rapid acquisition of two regional clinics left them with three incompatible electronic medical record systems. Patient data was isolated per site, forcing doctors to repeat labs and imaging. Appointment scheduling ran on spreadsheets. Average in-facility wait time was 47 minutes.

Our Approach

We started with a 6-week technical discovery across all six sites, interviewing clinical staff, mapping data flows, and cataloguing over 200 integration touchpoints. We designed a HIPAA-compliant cloud data lake on AWS with a unified patient identity service at its core. An AI triage assistant was overlaid to prioritize appointment slots based on urgency signals from symptoms, age, and past visit history.

The Solution

Delivered a unified patient platform on AWS built on HL7 FHIR standards. The AI triage engine reduced scheduling effort by 60% for administrative staff. Custom dashboards gave department heads real-time occupancy and wait-time visibility. Full rollout completed in 9 months without clinical downtime.

Results.

40%

reduction in average patient wait time

60%

reduction in scheduling admin effort

₹1.2Cr

annual savings from eliminated duplicate diagnostics

4.7/5

patient satisfaction score (up from 3.1)

Stats are representative of outcomes achieved. Specific figures may vary by site and period.

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