Development, Deployment, and Implementation of a Machine Learning Surgical Case Length Prediction Model and Prospective Evaluation.

Objective: To implement a machine learning model using only the restricted data available at case creation time to predict surgical case length for multiple services at different locations.

Background: The operating room is one of the most expensive resources in a health system, estimated to cost $22 to $133 per minute and generate about 40% of hospital revenue. Accurate prediction of surgical case length is necessary for efficient scheduling and cost-effective utilization of the operating room and other resources.

Implementing venous leg ulcer education and clinical decision support: a quality improvement project.

Background: Venous leg ulcers (VLU) require early identification and treatment to prevent further harm. Health care providers often fail to initiate evidenced-based VLU treatment promptly because of a lack of knowledge of VLU guidelines.

Purpose: To improve early treatment for patients with VLUs presenting to outpatient clinic settings.

The found down patient: A Western Trauma Association multicenter study.

Background: Unconscious patients who present after being "found down" represent a unique triage challenge. These patients are selected for either trauma or medical evaluation based on limited information and have been shown in a single-center study to have significant occult injuries and/or missed medical diagnoses. We sought to further characterize this population in a multicenter study and to identify predictors of mistriage.

Influence of electronic medical record implementation on provider retirement at a major academic medical centre.

Rationale, Aims And Objectives: The push for electronic medical record (EMR) implementation is grounded on increasing efficiency and cost savings. Our objective was to investigate the effect of EMR implementation on provider attrition.

Methods: We completed a retrospective study investigating whether medical provider attrition, clinical MD or equivalent, coincided with EMR implementation.