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Title page for ETD etd-07162018-121433


Type of Document Dissertation
Author Cheng, Alex Chih-Ray
URN etd-07162018-121433
Title Assessing the Patient Experience from Electronic Health Data
Degree PhD
Department Biomedical Informatics
Advisory Committee
Advisor Name Title
Mia Levy Committee Chair
Daniel Fabbri Committee Member
Jules White Committee Member
Laurie Novak Committee Member
Mark Frisse Committee Member
Keywords
  • electronic health records
  • treatment burden
  • patient experience
  • patient work
Date of Defense 2018-05-23
Availability restricted
Abstract
For many patients with chronic diseases, navigating the complex medical system to receive care can be a daunting task. Patients often need to see multiple providers and undergo multiple procedures, which can be physically and mentally demanding. Additionally, the challenges patients experience extend beyond the clinical encounters themselves. Some of these challenges include commuting to the medical center, finding their way around the medical center, and waiting for their appointments to begin. The central hypothesis of this dissertation is that electronic data that is already being collected in healthcare operations is useful for characterizing and optimizing elements of the patient experience. We use a variety of data sources including electronic health record data, online mapping services, and indoor positioning data to describe different dimensions of the patient experience. Furthermore, we use the results of our analysis to recommend operational interventions that could improve patient care. As our methods for describing the patient experience improve, healthcare delivery organizations will be better equipped to provide care that is convenient, high-value, and personalized to patients’ ability to manage treatment.
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