Developing an emergency physician productivity index using descriptive health analytics

Mohamed Khalifa*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationEnabling health informatics applications
EditorsArie Hasman, Mowafa S. Househ
Place of PublicationAmsterdam, Netherlands
PublisherIOS Press
Pages167-170
Number of pages4
ISBN (Electronic)9781614995388
ISBN (Print)9781614995371
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event13th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2015 - Athens, Greece
Duration: 9 Jul 201511 Jul 2015

Publication series

NameStudies in Health Technology and Informatics
Volume213
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other13th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2015
CountryGreece
CityAthens
Period9/07/1511/07/15

Keywords

  • Reducing Emergency Crowding
  • Productivity
  • Analytics
  • Hospitals

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