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The client, a prominent healthcare provider based in the USA, faced difficulties in fetching and analyzing data, resulting in challenges in service provision, patient care, and financial inconsistency.
The data's intricate nature made it challenging to interpret and analyze promptly. Non-standardized formats and diverse reporting structures caused delays in extracting actionable insights.
Disintegrated electronic health records (EHR) across various systems hindered access to a comprehensive patient overview.
Inconsistencies in data structures and delays in receiving payer reports impacted financial accuracy. Difficulty in fetching real-time outpatient data led to delayed healthcare services.

Conducted a comprehensive assessment of existing data sources, formats, and structures. Data connectors and ETL processes were created to handle non-standardized formats.
Automated data cleaning algorithms were implemented to address inconsistencies. Power BI data models were developed to integrate patient records, treatment histories, and medical information.
Real-time data integration channels were established between different EHR systems.
A streamlined data pipeline using Power BI was built for the automated extraction and processing of payer reports.
A real-time monitoring system in Power BI was implemented for outpatient data, providing immediate insights into outpatient service utilization.
Role-based access control features were added to Power BI to ensure secure data access and compliance.
The solution underwent rigorous testing before deployment to the product environment.

Enhanced comprehensive insights and analysis enabled patient care coordination and service provision.
Improved more informed data-driven decision-making time by 80% for enhanced patient outcomes.
Reliable and standardized payer data ensured accurate financial analysis.
Mitigated data privacy risks by ensuring that sensitive healthcare information is accessed only by authorized personnel, meeting regulatory requirements.

Project outcomes