Learn more about Michael Buck

Author Bio

Michael Buck

Michael joined Health Catalyst in December 2016. Prior to coming to Catalyst, he worked as the Senior Director of Biomedical Informatics for the Primary Care Information Project in the NYC Department of Health and Mental Hygiene. He is also an Associate Research Scientist in the Department of Biomedical Informatics at Columbia University. His professional interests include healthcare analytics, health information exchange, value-based payment initiatives, public health informatics and clinical decision support. Michael completed his PhD in Biomedical Informatics at the University of Utah, School of Medicine and his postdoctoral fellowship at Columbia University. His work has received several awards including the 2012 1st place Innovator Award featured in Healthcare Informatics magazine, the 2011 HIMSS Public Health Davies Award of Excellence, and the 2011 Best Application Serving the Public, New York City Excellence in Technology Awards Program.

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Cessily Johnson
Michael Buck

Self-Service Data Tools Unlock Healthcare’s Most Valuable Asset

Data is increasingly critical to the delivery of healthcare. However, due to its complexity and scope, frontline clinicians and other end users can’t always access the data they need when they need it. In addition, expectations for data at the point of care unduly burden data analysts, keeping them from advancing more sophisticated organizational analytics goals.
In response to data productivity and efficiency challenges, self-service data solutions models only the high-value data, versus all available data, giving analysts and nontechnical users immediate and direct access to the data. These reusable models address three key challenges healthcare analytics programs face:

Cost—avoid additional expense and labor of producing single-use models.
Efficiency—save times associated with routinely producing new models.
Maintenance—allow updates across the organization’s models, versus separate updates.

Cessily Johnson
Michael Buck

Patient Registries Turn Knowledge into Outcomes Improvements

In today’s data-rich healthcare environment, patient registries put knowledge in front of the people who will use it to improve outcomes and population health. Non-IT professionals (e.g., clinicians and researchers) often don’t have direct, timely access to operational and clinical data. As a result, organizations miss out on important improvement opportunities and data-driven point-of-care decisions. Knowledge too often remains siloed in the enterprise data warehouse (EDW) or among specialized groups.
Patient registries remove these barriers. It allows clinicians and researchers to make informed choices and frees up data analysts to focus on their priority areas.