@inproceedings{dac3a8e928024293a97a48be7d8dac42,
title = "Developing an emergency physician productivity index using descriptive health analytics",
abstract = "Emergency department (ED) crowding became a major barrier to receiving timely emergency care. At King Faisal Specialist Hospital and Research Center, Saudi Arabia, we identified variables and factors affecting crowding and performance to develop indicators to help evaluation and improvement. Measuring efficiency of work and activity of throughput processes; it was important to develop an ED physician productivity index. Data on all ED patients' encounters over the last six months of 2014 were retrieved and descriptive health analytics methods were used. Three variables were identified for their influence on productivity and performance; Number of Treated Patients per Physician, Patient Acuity Level and Treatment Time. The study suggested a formula to calculate the productivity index of each physician through dividing the Number of Treated Patients by Patient Acuity Level squared and Treatment Time to identify physicians with low productivity index and investigate causes and factors.",
keywords = "Reducing Emergency Crowding, Productivity, Analytics, Hospitals",
author = "Mohamed Khalifa",
year = "2015",
doi = "10.3233/978-1-61499-538-8-167",
language = "English",
isbn = "9781614995371",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "167--170",
editor = "Arie Hasman and Househ, {Mowafa S.}",
booktitle = "Enabling health informatics applications",
address = "Netherlands",
note = "13th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2015 ; Conference date: 09-07-2015 Through 11-07-2015",
}