The development and pilot of a novel mobile application to assess clinician perception of workload and work environment.
Marisha BurdenLauren McBethAngela KenistonPublished in: Journal of hospital medicine (2024)
From October 28, 2022 to November 3, 2022, six hospitalist clinicians provided feedback on the early prototype of the GW App, and from February 28, 2023 to June 8, 2023, 30 hospitalist clinicians participated in the pilot while on clinical service. All 30 clinicians (100%) participated in the pilot submitting data for a total of 122 shifts. Participants reported working 10 ± 1 h per day (mean ± SD) and were responsible for an average of 11 ± 3 patients per day. The postpilot evaluation of the GW App showed a SUS score of 86 ± 11 and a participant preference toward mobile application-based surveys (73% of participants). Regarding workload measures, EHR event log data and notes data correlated with physician-reported workloads. Applying user-centered design techniques, we successfully developed a mobile application with high usability. These data can be paired with EHR event log data and outcomes to provide insights into the impact of workloads and work environments on outcomes.
Keyphrases
- electronic health record
- big data
- end stage renal disease
- emergency department
- palliative care
- chronic kidney disease
- study protocol
- mental health
- type diabetes
- ejection fraction
- randomized controlled trial
- machine learning
- newly diagnosed
- artificial intelligence
- data analysis
- clinical trial
- prognostic factors
- adipose tissue
- metabolic syndrome
- skeletal muscle
- deep learning