Biases in Electronic Health Records Data for Generating Real-World Evidence: An Overview-Reference-Cited by-同舟云学术

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Biases in Electronic Health Records Data for Generating Real-World Evidence: An Overview

Published:2023-11-14 Issue:1 Volume:8 Page:121-139
ISSN:2509-4971
Container-title:Journal of Healthcare Informatics Research
language:en
Short-container-title:J Healthc Inform Res

Author:

Al-Sahab Ban,Leviton Alan,Loddenkemper Tobias,Paneth Nigel,Zhang Bo

Funder

Office of Research in Women’s Health- National Institute of Health under Award Number

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Science Applications,Health Informatics,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s41666-023-00153-2.pdf

Reference127 articles.

1. Sandhu E, Weinstein S, McKethan A, Jain SH (2012) Secondary uses of electronic health record data: benefits and barriers. Jt Comm J Qual Patient Saf 38(1):34–40. https://doi.org/10.1016/s1553-7250(12)38005-7

2. Liu M, Qi Y, Wang W, Sun X (2022) Toward a better understanding about real-world evidence. Eur J Hosp Pharm 29(1):8–11. https://doi.org/10.1136/ejhpharm-2021-003081

3. Concato J, Corrigan-Curay J (2022) Real-world evidence - where are we now? N Engl J Med 386(18):1680–1682. https://doi.org/10.1056/NEJMp2200089

4. Holmes JH, Beinlich J, Boland MR, Bowles KH, Chen Y, Cook TS, Demiris G, Draugelis M, Fluharty L, Gabriel PE et al (2021) Why is the Electronic Health Record so challenging for Research and Clinical Care? Methods Inf Med 60(1–02):32–48. https://doi.org/10.1055/s-0041-1731784

5. Gianfrancesco MA, Goldstein ND (2021) A narrative review on the validity of electronic health record-based research in epidemiology. BMC Med Res Methodol 21(1):234. https://doi.org/10.1186/s12874-021-01416-5

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