Beyond Algorithms: The Collective Effort Required to Improve Patient Matching
“The biggest error technologists make is trusting the technology too much.”
It’s a sentiment Michael Martz never expected to express — particularly during a discussion on how healthcare organizations can improve patient matching. But as both a CIO (at Mount Nittany Health) and an active member of CHIME’s Policy Steering Committee, Martz knows all too well the consequences of incorrectly identifying patients. And he believes the best approach is a combination of having the right tools and processes in place, and ensuring that individuals are equipped and empowered to intervene.
