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Mortality Data Insights On Opioids and Substance Abuse
Jim Nasr, VP of Technology & Innovation, Certara
Dr. Brandi C. McCleskey, Forensic Pathologist, Jefferson County Coroner’s/Medical Examiner’s Office & Assistant Professor, Department of Pathology, University of Alabama in Birmingham
Abstract:
This talk will feature the implementation and real results from a national mortality reporting application, called Mortality Data Explorer—built on the OpenPharma platform—and will showcase insights gained from advanced real-time analytics and machine learning on mortality data on opioid and substance abuse. Insights and analysis are based on real mortality data from production client at the Office of the Medical Examiner at Jefferson County, AL.
We will discuss the basic of how the technology platform, how data is captured and transformed to HL FHIR for machine-readable and interoperable access, and further exposed to advanced data analytics and machine learning algorithms using APIs. The Key focus will be on results: the technology implementation has created a consumer-grade usable experience for domain experts, such as forensic pathologists, medical examiners, medical examiners and other public health officials to interact with the data in real-time and gain intuitive insights that are otherwise very difficult or time consuming to unearth. We will also discuss results of machine learning on mortality data to predict cause of death based on occurrence of a variety of drug specimens.
As part of this presentation, we will also be demonstrating certain aspects of the mortality reporting application in real-time, including advanced data visualizations and the visual query engine.
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