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Health Informatics and Clinical Decision Making for Priority Populations

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자료유형학위논문
서명/저자사항Health Informatics and Clinical Decision Making for Priority Populations.
개인저자Hammarlund, Noah.
단체저자명Indiana University. Public Affairs.
발행사항[S.l.]: Indiana University., 2018.
발행사항Ann Arbor: ProQuest Dissertations & Theses, 2018.
형태사항141 p.
기본자료 저록Dissertation Abstracts International 80-01A(E).
Dissertation Abstract International
ISBN9780438322905
학위논문주기Thesis (Ph.D.)--Indiana University, 2018.
일반주기 Source: Dissertation Abstracts International, Volume: 80-01(E), Section: A.
Advisers: Kosali Simon
요약This dissertation is comprised of three essays. Each essay investigates the role of health information technology and methods in treatment decisions for the priority populations of minorities and pregnant mothers.
요약Chapter 1 begins my study of the use of informatics tools, namely the prediction and evaluation methods of machine learning, as potentially improved adjustment methods for the underlying probability or appropriateness of invasive surgery in the
요약In Chapter 2, I continue the work begun in Chapter 1 but with data from the electronic medical records system of the largest hospital system in Indiana. The data contain quantified lab tests, electrocardiogram readings, vitals, and other clinica
요약In Chapter 3, I and my coauthor estimate the effect of the adoption of advanced electronic medical records, a form of health information technology expected to drastically change health care delivery, on the procedure choice of cesarean or norma
요약The three chapters show my investigation into how health informatics can highlight clinical decision difficulties for priority populations.
일반주제명Economics.
Health sciences.
Information science.
언어영어
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