Training pediatric physicians and staff to obtain data from the electronic health record.
Healthc (Amst)
; 12(1): 100733, 2024 Mar.
Article
em En
| MEDLINE
| ID: mdl-38194745
ABSTRACT
Electronic health records (EHRs) have provided physicians with user-friendly self-service reporting tools to extract patient data from the EHR. Despite such benefits, physician training on how to use these tools has been limited. At our institution, physicians were faced with prolonged wait time for EHR data extraction requests and were unaware of self-service reporting tool availability in the EHR. Our goal was to develop an EHR data reporting curriculum for physicians and staff and examine the effectiveness of such training. In 2019, physician informaticists developed two interactive sessions to train physicians and staff on self-service reporting tools (Epic® SlicerDicer and Reporting Workbench (RWB)) available in our tertiary children's hospital EHR. We assessed participants' knowledge, confidence, and tool utilization before, after, and 3-months post training via survey. Training sessions occurred between April and August 2021. Thirty-six participants completed the study, with 25 surveys collected immediately post and 22 surveys collected at 3-months post training. Data literacy knowledge pre-test average score improved from 62% to 93% (p < 0.05) immediately post-session and 74% at 3-months post assessment (p = 0.05). Regular tool utilization increased from 29% (RWB) and 34% (SlicerDicer) pre-session to 56% and 44% at 3-months post, respectively. Participants reported increased confidence in performing SlicerDicer model selection, criteria selection, and data visualization as well as RWB report navigation, report creation, report visualization, and describing report's benefits/limitations. Ultimately, physician and staff self-service reporting tools training were effective in increasing data literacy knowledge, tool utilization, and confidence.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Médicos
/
Registros Eletrônicos de Saúde
Tipo de estudo:
Prognostic_studies
Limite:
Child
/
Humans
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article