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020 ▼a 9780438146891
035 ▼a (MiAaPQ)AAI10822396
035 ▼a (MiAaPQ)bu:13933
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0491 ▼f DP
0820 ▼a 658
1001 ▼a Cameron, Kellas Ross.
24510 ▼a Studies on Using Data-Driven Decision Support Systems to Improve Personalized Medicine Processes.
260 ▼a [S.l.] : ▼b Boston University., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 170 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-11(E), Section: A.
500 ▼a Adviser: Nitin R. Joglekar.
5021 ▼a Thesis (Ph.D.)--Boston University, 2018.
520 ▼a This dissertation looks at how new sources of information should be incorporated into medical decision-making processes to improve patient outcomes and reduce costs. There are three fundamental challenges that must be overcome to effectively use
520 ▼a The first study looks at how we can infer which patients will receive the most value from genomic testing. The difficult statistical problem is how to separate the distribution of patients, based on ex-ante factors, to identify the best candidat
520 ▼a The second study focuses on understanding how technology-enabled continuity of care (TECC) for Chronic Obstructive Pulmonary Disease (COPD) and Congestive Heart Failure (CHF) patients can be utilized to improve patient engagement, measured in te
520 ▼a The third study looks at how data-driven decision support systems can allow physicians to more accurately understand which patients are at high-risk of readmission. We look at how we can use available patient-specific information for patients ad
520 ▼a Taken together, these three studies allow us to build a robust theory to tackle these challenges, both operational and policy-related, that need to be addressed for physicians to take advantage of the growing availability of patient-specific inf
590 ▼a School code: 0017.
650 4 ▼a Management.
650 4 ▼a Health care management.
690 ▼a 0454
690 ▼a 0769
71020 ▼a Boston University. ▼b Management.
7730 ▼t Dissertation Abstracts International ▼g 79-11A(E).
773 ▼t Dissertation Abstract International
790 ▼a 0017
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998471 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자 ▼b 관리자