Operational Bottlenecks & Capacity Issues
Limited visibility into patient throughput across Out-Patient, In-Patient, and Emergency departments complicated bed management, discharge planning, and resource optimization.
Enterprise Healthcare Analytics Platform
for Hospital Operations & Financial Intelligence
Designed and developed the Medicare Global Healthcare Analytics Suite as a centralized strategic intelligence hub embedded within the YASASII Hospital Information System, transforming raw PostgreSQL data into actionable operational, clinical, and financial insights.
Hospital Intelligence Platform
Power BI Executive Analytics
PostgreSQL Data Platform
Embedded in YASASII HIS
300%+ Data Visibility
1.
Business Challenge
Hospital administrators and clinical leaders lacked a unified view of operational performance, clinical workflows, and revenue because data remained siloed across the Hospital Information System.
Revenue Leakage & Missed Appointments
Outpatient No Show trends were not visible enough to support corrective scheduling, reminders, or controlled over-booking strategies.
Fragmented Financial Oversight
Financial leaders lacked automated insight into payer mix, revenue drivers, and service-specific financial performance.
Unoptimized Resource Allocation
Surgery and procedure volumes were disconnected from Operating Room, Nursing Station, and Length of Stay analysis, limiting effective asset and staffing decisions.
2.
Solution
A centralized Power BI analytics suite was architected and embedded directly into the multi-tier YASASII HIS environment.
Optimized PostgreSQL Reporting Views
Designed vwoppbi, vwippbi, vwprocedurespbi, vwrevenuepbi, and vwsurgerypbi to aggregate, clean, and format billing, scheduling, registration, admission, procedure, and surgery data.
Advanced ETL Logic & Governance
Handled Length of Stay, bed-category classification, payer normalization, and complex business rules at the database and transformation layers.
Out-Patient Analytics
Tracked New versus Follow-up visits, demographic patterns, doctors, specialties, payer types, and No Show performance.
In-Patient Intelligence
Built bed-occupancy views and Average Length of Stay analytics across Room Classes and Nursing Stations.
Procedures & Surgery Intelligence
Mapped intervention volumes, surgery types, departments, providers, and physical Operating Rooms.
Revenue & Payer Analytics
Analyzed revenue with and without VAT, payer mix, encounter mode, departments, providers, specialties, and service categories.
Dynamic Executive Interactivity
Implemented DAX and Power Query logic with global filtering by Date, Department, Provider, Specialty, Payer Type, and site.
Embedded HIS Delivery
Integrated the analytics suite directly into the YASASII Hospital Information System for seamless operational access.
3.
Business Impact
Increase in Strategic Data Visibility
Millions of raw PostgreSQL records were transformed into a single source of truth covering core medical directorates and hospital operations.
Self-Pay Revenue Share Identified
The platform revealed the dominant payer segment, giving leadership a clear basis for pricing, collection, and financial strategy.
High-Volume Patient Age Group Identified
Demographic analysis exposed the primary patient segment, supporting better staffing and service-planning decisions.
Optimized Resource & Asset Utilization
Clinical leaders gained precise visibility into top-performing specialties such as General Medicine and Cardiology, along with beds, rooms, nursing stations, and operating theaters.
Targeted Financial Leakage Prevention
The suite showed that Bed and Room allocations (ADT) were primary revenue drivers compared with laboratory and clinical-procedure categories.
Reduced Missed-Appointment Loss
Month-by-month No Show visibility enabled actionable reminder, scheduling, and over-booking interventions to maximize doctor-slot utilization.
Centralized Strategic Intelligence
Hospital leadership gained one trusted reporting environment across operational, clinical, and financial domains.
4.
Solution Architecture
Embedded Hospital Intelligence Architecture
YASASII HISClinical & Operational Modules
PostgreSQLTables, Views & Procedures
Hospital Data DomainsOP, IP, Procedures, Surgery, Revenue
↓↓↓
Optimized SQL ViewsClean & Aggregated Data
→
Power QueryTransformation Layer
→
DAX Semantic ModelKPIs & Business Logic
↓
Power BI Healthcare Analytics Suite
↓
Embedded YASASII HIS Experience
A centralized analytics architecture converts HIS transactions into embedded operational, clinical, and financial intelligence.
5.
Analytics Delivery Flow
Capture
Clinical, operational, scheduling, and billing transactions
Prepare
PostgreSQL views aggregate and standardize data
Transform
Power Query applies shaping and business rules
Model
DAX calculates hospital KPIs and filters
Deliver
Interactive dashboards embedded in YASASII HIS
The analytics flow moves hospital transactions through governed SQL and semantic modeling into decision-ready dashboards.
6.
Technology Stack
PostgreSQLSQLSQL Server / SSMSSSISPower BI DesktopPower BI ServicePower QueryDAXYASASII HISEmbedded Analytics
7.
Dashboard Gallery
8.
Project Showcase
Live Power BI Dashboard
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Video Walkthrough
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9.
GitHub Repository
Explore the Healthcare Analytics Suite
The repository contains project documentation, dashboard screenshots, technical implementation details, and supporting analytics assets.
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