Information Softworks offers an Enterprise Master Patient Index (EMPI) solution that accurately links patient records across disparate healthcare systems. Their platform uses probabilistic matching algorithms to minimize duplicate and unmatched entries, improving data integrity and patient safety.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare organizations face significant challenges with duplicate and unmatched patient records across disparate systems, leading to increased operational costs and potential patient safety risks. Inaccurate patient identification can result in adverse events, medication errors, and compromised continuity of care.
Solution
Information Softworks provides an advanced Enterprise Master Patient Index (EMPI) solution designed to enhance EHR integration and patient safety. Leveraging sophisticated probabilistic algorithms, their platform accurately identifies and links patient records across multiple data sources, minimizing duplicate and erroneous entries. This robust patient matching capability reduces the likelihood of record overlays and ensures a unified, accurate patient demographic profile. By improving data integrity, the EMPI solution directly contributes to cost reduction and the prevention of adverse patient outcomes.
Target Audience
The primary customers are healthcare organizations, including hospitals, health systems, ACOs, and CINs, seeking to optimize their EHR systems and improve patient data accuracy.
Features
- Proprietary StatJoin algorithm for detecting misspellings, abbreviations, field swaps, and typos to improve match accuracy.
- Advanced probabilistic matching engine that balances a low false positive rate with a high match rate, even with incomplete or flawed data.
- Capability to handle complex data scenarios including twins, name changes, and transitive matches.
- Algorithms are aware of cultural conventions and can be tuned for specific implementation or regional requirements.
- Utilizes fuzzy matching algorithms (e.g., Levenshtein, Metaphone) for enhanced data disambiguation.
- Achieves a missed match rate of less than 1% with an exceptionally high F1 score.
- Designed for rapid deployment and integration with existing enterprise information infrastructure.