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Develop Integrated Data Platform with RPA and Power BI for Healthcare Clinic Performance Analysis

trigent.com

Health & Fitness

Medical

Data Silos and Lack of Real-time Visibility

The client currently faces significant challenges due to data silos across various EHR and PMS systems used by individual clinics. This fragmented data landscape hinders comprehensive performance analysis, strategic decision-making, and cost optimization. Inconsistent data standards and manual reporting processes lead to inaccuracies, delays, and limited visibility into key operational metrics. The lack of a unified platform prevents the identification of trends, bottlenecks, and areas for improvement across the entire network.

About the Client

A large network of dermatology clinics and dermatologists operating across multiple locations, utilizing disparate Electronic Health Record (EHR) and Practice Management System (PMS) solutions.

Project Goals

Establish a centralized data platform to consolidate data from disparate clinic systems.
Automate data extraction, transformation, and loading (ETL) processes to ensure data accuracy and timeliness.
Develop comprehensive dashboards and reports using Power BI to provide real-time visibility into key performance indicators (KPIs) for each clinic and the overall network.
Enable data-driven decision-making by providing stakeholders with actionable insights.
Reduce manual reporting efforts and free up staff time for value-added activities.

Functional Requirements

Data Extraction from diverse EHR/PMS systems (PMS, EHR, Nextech, EMA, AdvancedMD, etc.).
Data Transformation and Cleansing to ensure data consistency and accuracy.
Data Loading into a centralized data mart (cloud-based).
Automated report generation and scheduling.
Interactive dashboards and data visualization using Power BI.
Role-based access control to secure sensitive data.
Audit logging of data transformations and report generation.

Preferred Technologies

Microsoft Azure

Power BI

Robotic Process Automation (RPA) - UiPath or similar

SQL Databases

ETL Tools (Azure Data Factory or similar)

Required Integrations

EHR/PMS system APIs (where available)
SQL databases of various clinic systems

Non-Functional Requirements

Scalability to accommodate future growth in the number of clinics and data volume.
High availability and reliability to ensure continuous data access.
Data security and compliance with healthcare regulations (HIPAA, etc.).
Performance to handle large datasets and complex queries.
Data governance policies and procedures.

Expected Business Impact

The implementation of this platform is expected to significantly improve operational efficiency, reduce costs, and empower data-driven decision-making. Key benefits include enhanced visibility into clinic performance, standardization of data reporting, reduced manual effort, and improved cost optimization. C-level executives, risk managers, and clinic heads will gain timely access to relevant reports, enabling proactive management and strategic planning. The move to a cloud-based data storage solution will enhance scalability and flexibility.