Using data envelopment analysis for assessing the performance of pediatric emergency department physicians.

In attempting to measure the performance of providers in a service industry such as health care, it is crucial that the measurement tool recognize both the efficiency and quality of service provided. We develop a Data Envelopment Analysis (DEA) model to help assess the performance of emergency department (ED) physicians at a partner hospital. The model incorporates efficiency measures as inputs and quality measures as outputs. We demonstrate the importance of a nuanced approach that recognizes the heterogeneity of patients that an ED physician encounters and the important role s/he plays as a mentor for physicians in training. In the study, patients were grouped according to their presenting complaint and ED physicians were assessed on each group separately. Performance variations were evident between physicians within each complaint group as well as between groups. A secondary grouping divided patients based on whether the attending physician was assisted by a trainee. Almost all ED physicians showed better performance scores when not assisted by trainees or ED fellows.

Residents' and preceptors' perceptions of the use of the iPad for clinical teaching in a family medicine residency program.

BACKGROUND: As Family Medicine programs across Canada are transitioning into a competency-based curriculum, medical students and clinical teachers are increasingly incorporating tablet computers in their work and educational activities. The purpose of this pilot study was to identify how preceptors and residents use tablet computers to implement and adopt a new family medicine curriculum and to evaluate how they access applications (apps) through their tablet in an effort to support and enhance effective teaching and learning. METHODS: Residents and preceptors (n = 25) from the Family Medicine program working at the Pembroke Regional Hospital in Ontario, Canada, were given iPads and training on how to use the device in clinical teaching and learning activities and how to access the online curriculum. Data regarding the use and perceived contribution of the iPads were collected through surveys and focus groups. This mixed methods research used analysis of survey responses to support the selection of questions for focus groups. RESULTS: Reported results were categorized into: curriculum and assessment; ease of use; portability; apps and resources; and perceptions about the use of the iPad in teaching/learning setting. Most participants agreed on the importance of accessing curriculum resources through the iPad but recognized that these required enhancements to facilitate use. The iPad was considered to be more useful for activities involving output of information than for input. Participants' responses regarding the ease of use of mobile technology were heterogeneous due to the diversity of computer proficiency across users. Residents had a slightly more favorable opinion regarding the iPad's contribution to teaching/learning compared to preceptors. CONCLUSIONS: iPad's interface should be fully enhanced to allow easy access to online curriculum and its built-in resources. The differences in computer proficiency level among users should be reduced by sharing knowledge through workshops led by more skillful iPad users. To facilitate collection of information through the iPad, the design of electronic data-input forms should consider the participants' reported negative perceptions towards typing data through mobile devices. Technology deployment projects should gather sufficient evidence from pilot studies in order to guide efforts to adapt resources and infrastructure to relevant needs of Family Medicine teachers and learners.

Evaluating emergency physicians: data envelopment analysis approach.

The purpose of this research is to develop an evaluation tool to assess performance of Emergency Physicians according to such criteria as resource utilization, patient throughput and the quality of care. Evaluation is conducted using a mathematical programming model known as Data Envelopment Analysis (DEA). Use of this model does not require the subjective assignment of weights associated with each criterion - a feature typical of methodologies that rely on composite scores. The DEA model presented in this paper was developed using a hypothetical data set describing a representative set of profiles of Emergency Physicians. The solution to the model relates the performance of each Emergency Physician in relation to the others and to a benchmark. We discuss how such an evaluation tool can be used in practice.