Join Health 2.0’s Matthew Holt and Indu Subaiya in discussion with Adam Culbertson, Innovator-In Residence, HIMSS; Abel Kho, Associate Professor of Medicine and Preventive Medicine in the Feinberg School of Medicine at Northwestern University; and Tom Leary, VP of Government Relations, HIMSS. We’ll be talking about the challenges, such as technical and political hurdles to matching patients. Additionally, hear about current projects underway to advance this challenging problem.
Electronic health records (EHRs) offer the promise of improved healthcare coordination, lower costs, and improved patient safety. To achieve these benefits providers need to be able to share patient health information, and systems must be able to match patient data from disparate health data silos. Currently, mistakes in patient matching are a substantial contributor to adverse medical events, and correcting mismatched patient records can be as high as several hundred dollars per record. More important than monetary costs are the potential cost in human lives and subsequent legal cost due if a patient receives the wrong treatment. Given the substantive impacts poor patient matching can have on care delivery, population health analyses, and research, it is important for organizations to be able to quantify their patient matching algorithm’s performance and compare the results to industry standard benchmarks and performance metrics.
Click here to register for the free webinar on Wednesday, July 12, 2017, 10am PST.
We will be discussing topics like this at the at Health 2.0’s 11th Annual Fall Conference, which will be held on October 1 – 4, 2017, in Santa Clara, California.
Jill Merrigan is the Marketing Manager of Health 2.0.