Does autotext usage decrease documentation time among resident physicians? A retrospective analysis of EHR usage data

Objective
Usage of autotext or “dotphrases” is ubiquitous among provider workflows in electronic health records (EHRs). Yet little is known about the impact of these tools in inpatient settings and among resident physicians. We aimed to evaluate the association between autotext usage and documentation time among resident physicians in an academic medical center using the Cerner® EHR.
Dataset Description
The association between auto text executions and documentation time per patient seen for 705 resident physicians rotating at a large academic medical center from July 2021 to June 2023 was analyzed via linear regression after controlling for specialty, post-graduate year (PGY), provider gender, and patient volume.
NOTE: The dataset in this study cannot be shared publicly due to the risk of identifying subjects who constitute a vulnerable population and may be known personally to members of the research community (physicians in training). Inclusion of details of gender, department, and ye..., , # Does autotext usage decrease documentation time among resident physicians? A retrospective analysis of EHR usage Data

Dataset DOI: [10.5061/dryad.xksn02vt5](10.5061/dryad.xksn02vt5)

## Description of the data and file structure

Short synthetic sample intended to mimic data used in retrospective study of autotext usage and documentation time among resident physicians. *A synthetic dataset is presented because the actual dataset used in this study could not be sufficiently anonymized to share publicly due to the nature of the data (see Abstract.)*

The dataset originally used in this study was prepared from raw data downloaded from the Cerner LightsOn and Cerner Advance toolkits and aggregated at the level of an individual resident physician over the course of an academic year. As the study covers two academic years, 2021-2022 and 2022-2023, there are two entries for some resident physicians who were at the institution during both academic years.  The dataset includes a randomly gene...,