DALLAS, June 24, 2025 /PRNewswire/ -- Koan Health, a leading population health analytics company, announced today that it has once again earned the Certified Data Partner designation through the ...

Healthcare institutions should implement robust AI modeling, rigorous model testing, continuous monitoring for anomalies, data validation and handling, access controls and regular audits to ...

2. Validate in the open. Make data validation a collaborative process. Invite stakeholders to compare datasets, surface mismatches and resolve discrepancies together. 3. Explain, then recommend.

The resulting dashboards and visualizations are "gold standard tools" already used to evaluate AI models in healthcare settings. Epic does not get any user data, as the intention is to run validation ...

Digital health tools in the reproductive space often blur the line between wellness and medical care, which can obscure their ...

The real "pain point" for providers should be inadequate systems, not quality oversight. I’m referring to Kimberly Marselas' recent article that portrays ...

Atlas Systems' FHIR-compatible platform for healthcare provider data exchange - PRIME® - is an AI-enabled powerful engine that works with ...

The automation creates consistency and eliminates the need for healthcare organization data scientists to do their own data mapping—the most time-consuming aspect of validation, according to Hain.

Spring Health has been named a Bronze winner in the 2025 Stevie® Awards for Technical Innovation of the Year, standing out among more than 1,500 global nominations for its use of data-driven ...

OSF HealthCare implemented the vendor's provider data management technology, establishing it as the single source of truth for provider and location data. This involved creating a system-wide database ...