Stefanie S Sebok-Syer1, Rachael Pack2, Lisa Shepherd3, Allison McConnell3, Adam M Dukelow3, Robert Sedran3, Lorelei Lingard2. 1. Emergency Medicine, Stanford University, Palo Alto, California, USA. 2. Centre for Education Research and Innovation, Health Sciences Addition, Western University Schulich School of Medicine, London, Ontario, Canada. 3. Department of Medicine, University of Western Ontario, London, Ontario, Canada.
Abstract
CONTEXT: The electronic health record (EHR) has been identified as a potential site for gathering data about trainees' clinical performance, but these data are not collected or organised for this purpose. Therefore, a careful and rigorous approach is required to explore how EHR data could be meaningfully used for assessment purposes. The purpose of this study was to identify EHR performance metrics that represent both the independent and interdependent clinical performance of emergency medicine (EM) trainees and explore how they might be meaningfully used for assessment and feedback. METHODS: Using constructivist grounded theory, we conducted 21 semi-structured interviews with EM faculty members and residents. Participants were asked to identify the clinical actions of trainees that would be valuable for assessment and feedback and describe how those activities are represented in the EHR. Data collection and analysis, which consisted of three stages of coding, occurred iteratively. RESULTS: When faculty members and trainees in EM were asked to reflect on the usefulness of using EHR performance metrics for resident assessment and feedback they expressed both widespread support for the idea in principle and hesitation that aspects of clinical performance captured in the data would not be representative of residents' individual performance, but would rather reflect their interdependence with other team members and the systems in which they work. We highlight three categorisations of system-level interdependence - medical directives, technological systems and organisational systems - identified by our participants, and discuss strategies participants employed to navigate these forms of interdependence within the health care system. CONCLUSIONS: System-level interdependence shapes physicians' performances, and yet, this impact is rarely corrected for or noted within clinical performance data. Educators have a responsibility to recognise system-level interdependence when teaching and consider system-level interdependence when assessing the performance of trainees in order to most effectively and fairly utilise the EHR as a source of assessment data.
CONTEXT: The electronic health record (EHR) has been identified as a potential site for gathering data about trainees' clinical performance, but these data are not collected or organised for this purpose. Therefore, a careful and rigorous approach is required to explore how EHR data could be meaningfully used for assessment purposes. The purpose of this study was to identify EHR performance metrics that represent both the independent and interdependent clinical performance of emergency medicine (EM) trainees and explore how they might be meaningfully used for assessment and feedback. METHODS: Using constructivist grounded theory, we conducted 21 semi-structured interviews with EM faculty members and residents. Participants were asked to identify the clinical actions of trainees that would be valuable for assessment and feedback and describe how those activities are represented in the EHR. Data collection and analysis, which consisted of three stages of coding, occurred iteratively. RESULTS: When faculty members and trainees in EM were asked to reflect on the usefulness of using EHR performance metrics for resident assessment and feedback they expressed both widespread support for the idea in principle and hesitation that aspects of clinical performance captured in the data would not be representative of residents' individual performance, but would rather reflect their interdependence with other team members and the systems in which they work. We highlight three categorisations of system-level interdependence - medical directives, technological systems and organisational systems - identified by our participants, and discuss strategies participants employed to navigate these forms of interdependence within the health care system. CONCLUSIONS: System-level interdependence shapes physicians' performances, and yet, this impact is rarely corrected for or noted within clinical performance data. Educators have a responsibility to recognise system-level interdependence when teaching and consider system-level interdependence when assessing the performance of trainees in order to most effectively and fairly utilise the EHR as a source of assessment data.
Authors: Stefanie S Sebok-Syer; Lisa Shepherd; Allison McConnell; Adam M Dukelow; Robert Sedran; Lorelei Lingard Journal: AEM Educ Train Date: 2020-08-09