International Journal of Population Data Science (Jan 2020)

Unlocking the Potential of Electronic Health Records for Health Research

  • Seungwon Lee,
  • Yuan Xu,
  • Adam G D'Souza,
  • Elliot A Martin,
  • Chelsea Doktorchik,
  • Zilong Zhang,
  • Hude Quan, Dr.

DOI
https://doi.org/10.23889/ijpds.v5i1.1123
Journal volume & issue
Vol. 5, no. 1

Abstract

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Electronic health records (EHRs), originally designed to facilitate health care delivery, are becoming a valuable data source for health research. EHR systems have two components: the front end, where the data is entered by healthcare workers including physicians and nurses, and the back-end electronic data warehouse where the data is stored in a relational database. EHR data elements can be of many types, which can be categorized as structured, unstructured free-text, and imaging data. The Sunrise Clinical Manager (SCM) EHR is one example of an inpatient EHR system, which covers the city of Calgary (Alberta, Canada). This system, under the management of Alberta Health Services, is now being explored for research use. The purpose of the present paper is to describe the SCM EHR for research purposes, showing how this generalizes to EHRs in general. We further discuss advantages, challenges (e.g. potential bias and data quality issues), and analytical capacities and requirements associated with using EHRs.