Title: Using artificial intelligence/machine learning algorithms to determine risk of opioid overdose

Biography:

Dr. George Mathew (MD) serves as DXC Technology’s Americas Public Sector team’s Chief Medical Officer. He joinedHPE from Aetna/ActiveHealth where he served as the Medical Director for Quality and Analytics Programs. He was responsible for the building and maintenance of the quality measures library supporting their proprietary analytics platform software.  Dr. Mathew holds a Medical Doctorate from Boston University, completed his residency at Yale University, and has a Master of Business Administration from Duke University’s Fuqua School of Business. Dr. Mathew is Board Certified in Internal Medicine and certified in Clinical Informatics and Medical Quality.

Abstract

Federal, state and local officials and health care professionals are researching, developing and implementing initiatives targeted at reducing opioid use, abuse, overdose and related-deaths. These efforts have focused on prescribing; developing guidelines for opioid prescribing and expanding use of Prescription Drug Monitoring Programs to reduce the prescribing of opioid medications. Yet the death rate continues to climb (~64,000 in 2017, an increase from 2016).

With approximately 30% rehabilitation costs being covered by Medicaid programs nationally and the promise that machine learning and predictive modeling bring to healthcare, the focus of the data analytics needs to shift from describing the problem to treating it.

Join leaders and partners from DXC Technology as they make the case and address the following;

• Data sharing difficulties
• Problems operationalizing the findings of data analysis, and;
• Remaining compliant with current rules and regulations regarding privacy and security
• Current available solutions to effectively address the changing opioid crisis