Alexander F Stevens
Pressures from high patient volumes, performing treatments once reserved for inpatient visits, and new financial programs drive departments to do more with existing resources. There is a significant body of knowledge about the challenges inherent in ambulatory care outpatient workflows setting up the need for developing, implementing, and using location-based technologies to help automate outpatient workflows on the day of service. We share the clinical value of indoor locating systems and give a simple example showing the efficacy of using location-based predictive analytics to improve the patient experience by properly managing resources and translate directly to better working conditions for the clinical staff. To make our point, we design, and model fit a simple, single predictor logistic regression model that could help reduce wait time and customize the patient experience by the staff actions to attend to the waiting patient.
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Journal of Health & Medical Informatics received 2700 citations as per Google Scholar report
