Top 0 Patient Identity Resolution Software Companies With $1M–$5M Revenue (September 2026)
As of September 2026, Latka tracks 0 patient identity resolution software companies with $1M–$5M in annual revenue.
Every company below sells patient identity resolution software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
What Patient Identity Resolution Software Companies do
Patient Identity Resolution Software is designed to accurately identify and match patient records across various healthcare systems and databases. This software primarily addresses challenges related to duplicate records, patient misidentification, and incomplete data, which can adversely affect patient care and safety. By employing advanced algorithms and data matching techniques, these solutions facilitate seamless integration of patient information, ensuring reliability and accuracy in medical records. Typical features of Patient Identity Resolution Software include master patient indexes (MPIs), data deduplication, and real-time identification processes. Healthcare providers, insurers, and data management teams are the main users of this software. They rely on these tools to enhance operational efficiencies, improve patient outcomes, and comply with regulatory standards around data integrity and privacy.
- Companies
- 0
- Revenue
- -
- Funding
- -
- Employees
- -
Filters
Sorting: Highest -> Lowest
Top Patient Identity Resolution Software Companies With $1M–$5M Revenue
Showing 0 of 0 companies ranked by annual revenue.
Related Vertical Industry Software categories
Inclusion Criteria
- Enables accurate matching of patient records to prevent duplicates - Provides robust data cleansing capabilities to improve record accuracy - Offers real-time identification to support clinical workflows - Integrates with electronic health records (EHR) systems to streamline data management - Focuses specifically on healthcare applications, not general identity resolution across industries - Supports compliance with healthcare regulations concerning patient data privacy - Facilitates data interoperability between different healthcare systems