Blog
On the first day of Christmas my MPI gave me: a patient record that was incomplete.
Verato Auto-Steward provides a much gentler and more nuanced approach to auto-merging the near-misses and finding the “not so near” misses.
The complex nature and navigation of clinical details, billing information, and ultimately insurance data requires herculean efforts on behalf of hospital administrators.
Population Health vendors are experts in predictive data models, risk stratification, data warehousing, reporting and a long list of other sophisticated technologies; patient matching isn’t one of them.
After 13 years, the industry has come a long way. First known as the Customer Data Integration (CDI) Institute, the MDM & Data Governance Summit has helped lead thousands of people and their organizations on a journey to unify and manage data by providing the requisite insight and best practices needed to improve the use of top software and data management solutions.
Health insurance companies, health systems and other tech companies seem to be finally getting comfortable with debunking a lot of myths around why IT teams should consider moving infrastructure to the cloud.
While biometrics are a key piece of the puzzle in solving our nation’s challenges in identifying patients and linking health data to the correct patients, they are still just one piece of the puzzle.
Considering a cloud-based EMPI, but unsure whether to use a hosted EMPI, a managed EMPI, or a software-as-a-service (SaaS) EMPI? Learn the benefits and challenges of each.
Read this blog post to learn what patient matching is and why it is important, as well as what Referential Matching technology is and how it can help solve our nation’s interoperability challenges.