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Amol Navathe Abstract Named a ‘Best of ARM’ at Boston Conference
AcademyHealth Session Focuses on New Ways to Utilize Electronic Health Record Data
Amol Navathe presenting at the “Best of ARM” session in Boston’s Hynes Convention Center on Monday.
A study abstract by University of Pennsylvania Perelman School of Medicine Assistant Professor and LDI Senior Fellow Amol Navathe, MD, PhD, has been named one of the best (8 of 2,600 submissions) of the AcademyHealth Annual Research Meeting.
The work, currently in review for publication, demonstrated the incremental value of using the natural language processing (NLP) technique to capture information on patients’ sociobehavioral characteristics. It was selected for the “Best of ARM” session on new developments in data and methods likely to transform the health services research field over the next five years.
High risk patients
The title of Amol’s work is “Identifying Patients at High Risk for Readmission Using Socio-Behavioral Patient Characteristics.”
The session also honored papers from Julie Bynum of Dartmouth, Amy Kinner of Onpoint Health Data and Danielle Lavallee of the University of Washington.
Navathe’s research projects generally focus on the use of claims and clinical data to measure the costs, quality and appropriateness of care, and experimental trials testing provider payment incentives. He previously served as Medical Officer and Senior Program Manager for the $1 billion federal Comparative Effectiveness Research Program.