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Activity Number: 511 - Health Policy Statistics Section P.M. Roundtable Discussion
Type: Roundtables
Date/Time: Thursday, August 6, 2020 : 12:00 PM to 1:00 PM
Sponsor: Health Policy Statistics Section
Abstract #314003
Title: Harnessing Population-Based Electronic Healthcare Records to Construct Family Health Histories
Author(s): Lisa M Lix*
Companies: University of Manitoba
Keywords: electronic medical records; risk prediction; precision medicine; disease heritability; data repositories; measurement bias

Rates of common chronic diseases such as cardiovascular disease and hypertension are increasing. Predicting who is likely to be diagnosed with a common chronic disease is important for communicating risk to the public, healthcare providers, and patients. A family history of a common chronic disease is one of the strongest predictors of future disease risk. Recently, innovative studies have explored the potential use of population-based electronic healthcare records to construct histories of chronic diseases for parents and offspring. This area of research represents many new opportunity for statisticians; methods must be tested and evaluated to accurately link family members, estimate disease heritability using error-prone diagnosis codes in healthcare records, and efficiently extract health history information from massive repositories of healthcare records. This roundtable session will explore methodological topics relevant to family health history research, including observational study design and longitudinal analysis approaches. Participants will discuss family health histories as a key component of precision healthcare, which aims to offer tailored care to patients.

Authors who are presenting talks have a * after their name.

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