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Ctrl-C: a cross-sectional study of the electronic health record usage patterns of US oncology clinicians.
Sinha, Sumi; Holmgren, A Jay; Hong, Julian C; Rotenstein, Lisa S.
Afiliação
  • Sinha S; Department of Radiation Oncology, University of California, San Francisco, San Francisco, CA, USA.
  • Holmgren AJ; Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
  • Hong JC; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.
  • Rotenstein LS; Department of Radiation Oncology, University of California, San Francisco, San Francisco, CA, USA.
JNCI Cancer Spectr ; 7(5)2023 Aug 31.
Article em En | MEDLINE | ID: mdl-37688578
ABSTRACT
Despite some positive impact, the use of electronic health records (EHRs) has been associated with negative effects, such as emotional exhaustion. We sought to compare EHR use patterns for oncology vs nononcology medical specialists. In this cross-sectional study, we employed EHR usage data for 349 ambulatory health-care systems nationwide collected from the vendor Epic from January to August 2019. We compared note composition, message volume, and time in the EHR system for oncology vs nononcology clinicians. Compared with nononcology medical specialists, oncologists had a statistically significantly greater percentage of notes derived from Copy and Paste functions but less SmartPhrase use. They received more total EHR messages per day than other medical specialists, with a higher proportion of results and system-generated messages. Our results point to priorities for enhancing EHR systems to meet the needs of oncology clinicians, particularly as related to facilitating the complex documentation, results, and therapy involved in oncology care.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article