Omri Gottesman, MD
Personalized medicine is one of those technology topics that perpetually comes up in conversations about The Next Big Thing.
Think combining genomics data with population health, throw in some predictive analytics, and you've got the basic idea.
As a direct-to-consumer play, personalized medicine has run into some roadblocks, and at least one big setback. See the FDA's takedown of 23andMe's service that tested consumers' genomes and suggested correlations to particular predicted conditions or diagnoses.
But within the controlled environment of a health system, personalized medicine is making inroads.
At Mt. Sinai Health System in New York, a combination of personalized medicine, natural language processing, and clever integration with electronic health record software is allowing clinicians to adjust medication selection and dosages based on patients' genomic differences.
The clever integration, invented at Mt. Sinai, is the Clinical Implementation of Personalized Medicine through Electronic Health Records and Genomics platform, or CLIPMERGE for short.
Heading up development of CLIPMERGE was Omri Gottesman, MD, a UK-trained physician-scientist focused on the translation and implementation of genomic and data-driven medicine into clinical practice.