Using Electronic Health Records for Surgical Quality Improvement in the Era of Big Data | Zendy

Jamie E. Anderson | Zendy; David C. Chang | Zendy

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Using Electronic Health Records for Surgical Quality Improvement in the Era of Big Data

Author(s) -

Jamie E. Anderson,

David C. Chang

Publication year - 2014

Publication title -

jama surgery

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.757

H-Index - 176

eISSN - 2168-6262

pISSN - 2168-6254

DOI - 10.1001/jamasurg.2014.947

Subject(s) - medicine , logistic regression , emergency medicine , receiver operating characteristic , health care , multivariate statistics , retrospective cohort study , multivariate analysis , regression analysis , complication , health records , quality management , surgery , statistics , operations management , management system , mathematics , economics , economic growth

Risk adjustment is an important component of quality assessment in surgical health care. However, data collection places an additional burden on physicians. There is also concern that outcomes can be gamed depending on the information recorded for each patient.

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