| LDR | | 02655nam u200445 4500 |
| 001 | | 000000417939 |
| 005 | | 20190215162426 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438146891 |
| 035 | |
▼a (MiAaPQ)AAI10822396 |
| 035 | |
▼a (MiAaPQ)bu:13933 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 658 |
| 100 | 1 |
▼a Cameron, Kellas Ross. |
| 245 | 10 |
▼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. |
| 502 | 1 |
▼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 |
| 710 | 20 |
▼a Boston University.
▼b Management. |
| 773 | 0 |
▼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 |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998471
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |