Optimizing Healthcare Data Aggregation for Effective Business and Employment Verification

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Optimizing Healthcare Data Aggregation for Effective Business and Employment Verification

KYC Solution Case Study

Problem Statement

Our client, a trusted online healthcare resource, needed an automated solution to aggregate data on 3 million healthcare providers for business, employment/license verification, and physician malpractice checks. The challenge involved developing an adaptable web crawler that could navigate and extract data from diverse, frequently updated websites, necessitating ongoing maintenance and monitoring.

Our solution

We successfully implemented a robust data aggregation solution by leveraging advanced automation techniques. Here’s our approach:

Site Analysis and Navigation: Our data engineering team implemented advanced web scraping techniques, including site analysis, crawler development, testing, and deployment. These crawlers automated the extraction of healthcare provider data from various sources, ensuring thorough coverage and accuracy.
Data Integration: We created a centralized database to aggregate the scraped data and seamlessly integrate it with the client’s existing systems. This provided a comprehensive and up-to-date repository of healthcare provider information, including details on malpractice records and license status.

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Data Cleansing and Standardization: We developed algorithms to cleanse and standardize the collected data, removing inconsistencies and ensuring accuracy. Additionally, we implemented algorithms to compare the new data with existing profiles, eliminating duplicates and maintaining a clean dataset.
Quality Assurance: A robust two-tier data quality assurance process was established. Automated algorithms assessed data accuracy, ensuring agreed Service Level Agreement (SLA) compliance. Any discrepancies were identified and rectified, ensuring high-quality output.

Benefits

Improved Data Source Selection: By utilizing the site analysis approach, the client achieved a 20% increase in the relevancy of selected data sources, resulting in a more accurate and insightful analysis of healthcare provider information.
Real-Time and Automated Data Collection: The automated web crawler reduced data collection time by 30%, enabling the client to access up-to-date information for more frequent and timely updates on provider data, malpractice records, and license verification.
Enhanced Data Accuracy and Compliance: Implementation of the two-tier quality assurance process resulted in a 98% accuracy rate in delivering compliant data batches, meeting the client’s SLA requirements for healthcare provider data.