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020 ▼a 9780438180826
035 ▼a (MiAaPQ)AAI10839158
035 ▼a (MiAaPQ)columbia:14818
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 610.73
1001 ▼a Reading, Meghan.
24510 ▼a Optimizing the Collection and Use of Patient-Generated Health Data.
260 ▼a [S.l.] : ▼b Columbia University., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 178 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Adviser: Jacqueline A. Merrill.
5021 ▼a Thesis (Ph.D.)--Columbia University, 2018.
520 ▼a This dissertation aims to examine the collection and use of digital patient-generated health data (PGHD) in real-world settings, including existing barriers from the perspectives of patients and healthcare providers, and possible approaches to o
590 ▼a School code: 0054.
650 4 ▼a Nursing.
650 4 ▼a Bioinformatics.
690 ▼a 0569
690 ▼a 0715
71020 ▼a Columbia University. ▼b Nursing.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0054
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999674 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자