Jacob Miller

Jacob Miller
Data Scientist, Explorys

Website | @JacobOMiller

Jacob Miller is a Data Scientist at Explorys who is passionate about using data to improve the quality of health care. The Informatics group in which he works develops Hadoop-based, analytic, solutions to difficult BIG data problems. Recently, he has been working on predicting costs for episodes of care, reducing error rates in patient-matching across diverse data sources, and creating data visualizations. He earned his MS in Operations Research from The Ohio State University.


Sponsored Sessions
Location: Yosemite C
Josh Wills (Cloudera), Kenneth Kolenik (Nuance Healthcare), Jake Marcus (Practice Fusion), Jacob Miller (Explorys), Nigam Shah (Stanford School of Medicine)
Average rating: ****.
(4.00, 1 rating)
Even with the advent of sophisticated EHR systems, the vast majority of information about patient care is still recorded as free text, and this seems unlikely to change in the near future. This panel will discuss the path towards the meaningful use of natural language processing to improve patient care and clinical outcomes, both intrinsically and as a necessary input for predictive analytics. Read more.


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