M4D1: Clinical Decision Support for Population Health and Personalized Medicine
Introduction to the Activity
Health data volume is expected to continue to grow dramatically in the years ahead. Capturing the data is not the problem, however analyzing and mining the data for meaningful findings is. Welch, Kawamoto, Drohan, and Hughes (2014) declared “[f]or CDS to become valuable for personalized health care, much effort needs to be made to develop the infrastructure and relevant applications to converge towards common, standards-based approaches to enable CDS for personalized medicine across various health care organizations and health information systems” (p. 408).
Instructions to Learners
Write a letter as if you were preparing to send it to the CEO of an EHR vendor of your choice (MEDITECH). Leveraging the readings to substantiate claims made, declare the importance of accelerating the convergence of a common infrastructure to enable CDS for personalized medicine or population health management. Propose an example of a CDS rule or tool that would benefit the clinical users (and subsequent patient(s)), and what harm could ensue if the CDS was not implemented.