LDR | | 01501nmm uu200397 4500 |
001 | | 000000331195 |
005 | | 20240805163616 |
008 | | 181129s2018 |||||||||||||||||c||eng d |
020 | |
▼a 9780438180826 |
035 | |
▼a (MiAaPQ)AAI10839158 |
035 | |
▼a (MiAaPQ)columbia:14818 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
082 | 0 |
▼a 610.73 |
100 | 1 |
▼a Reading, Meghan. |
245 | 10 |
▼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. |
502 | 1 |
▼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 |
710 | 20 |
▼a Columbia University.
▼b Nursing. |
773 | 0 |
▼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 |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999674
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자 |