4medica software

4medica offers a referential matching service that significantly enhances the accuracy and efficiency of patient matching by utilizing a comprehensive and continuously updated reference database of identities. Unlike traditional methods that rely on simple one-to-one record comparisons, this advanced service leverages hundreds of external data sources in near real-time to eliminate potential duplicate records and improve match accuracy. This approach ensures the seamless integration and exchange of patient information across various healthcare facilities and systems, improving clinical decision-making, patient care coordination, and overall healthcare outcomes. The 4medica system is designed to maintain up-to-date data, supporting healthcare providers in making informed decisions with minimal risk of errors associated with patient identities and medical records.

Your initiatives are only as good as your master data management. The 4medica Big Data Identity Enrichment™ software makes your patient data more useful by connecting with multiple third-party sources to provide richer, more detailed information using current referential information coupled with historic demographic and geographic data that goes back decades. We easily match records in real time for powerfully accurate master patient data in seconds.

For the initial assessment, we will load and score your data using the 4medica EMPI, which analyzes data quality to identify your real duplication rate. Then you’ll receive a report that outlines a phased-in approach to clean all data in your MPI. This report is yours to keep, whether or not you decide to have 4medica assist in cleansing your data to remove duplicates, or any of our ongoing MPI maintenance services. Only 4medica offers a MPI clean-up service that guarantees a 1% duplication rate using its revolutionary and proven combination of MPI matching technology with automated intelligence and proprietary processes. Its skilled staff of data scientists provide data stewardship services foundational for data integrity.