How to validate a diagnosis recorded in electronic health records

TY - JOUR

T1 - How to validate a diagnosis recorded in electronic health records

AU - Nissen, Francis

AU - Quint, Jennifer K.

AU - Morales, Daniel R.

AU - Douglas, Ian J.

N1 - F. Nissen reports grants from GlaxoSmithKline (PhD scholarship) and Novartis (ERS fellowship in industry), outside the submitted work. J.K. Quint reports grants from the Medical Research Council, the British Lung Foundation, the Health Foundation and the Wellcome Trust, and grants and personal fees from GlaxoSmithKline, Insmed, Bayer and Boehringer Ingelheim, all outside the submitted work. D.R. Morales has nothing to disclose. I.J. Douglas reports grants from GlaxoSmithKline during the conduct of the study, as well as grants and share holdings from GlaxoSmithKline outside the submitted work.

PY - 2019/3/1

Y1 - 2019/3/1

N2 - Systematic measurement errors in electronic health record databases can lead to large inferential errors. Validation techniques can help determine the degree of these errors and therefore aid in the interpretation of findings. http://ow.ly/iHQ630np4xU.

AB - Systematic measurement errors in electronic health record databases can lead to large inferential errors. Validation techniques can help determine the degree of these errors and therefore aid in the interpretation of findings. http://ow.ly/iHQ630np4xU.

UR - https://www.scopus.com/pages/publications/85066754038

U2 - 10.1183/20734735.0344-2018

DO - 10.1183/20734735.0344-2018

M3 - Article

C2 - 30838062

SN - 1810-6838

VL - 15

SP - 64

EP - 68

JO - Breathe

JF - Breathe

IS - 1

ER -