Clinician perspectives on how situational context and augmented intelligence design features impact perceived usefulness of sepsis prediction scores embedded within a simulated electronic health record.

Abstract

Authors

• Velma L Payne
  Kasiska Division of Health Sciences, College of Health, Idaho State University, Pocatello, ID 83209, United States.
• Usman Sattar
  Department of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT 84108, United States.
• Melanie Wright
  Tunnell Government Services, Inc., Bethesda, MD 20817, United States.
• Elijah Hill
  Kasiska Division of Health Sciences, College of Pharmacy, Idaho State University, Pocatello, ID 83209, United States.
• Jorie M Butler
  Cardiology Section, Medical Service, George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT 84148, United States.
• Brekk Macpherson
  Virginia Commonwealth University Health System, Richmond, VA 83298, United States.
• Amanda Jeppesen
  Kasiska Division of Health Sciences, College of Pharmacy, Idaho State University, Pocatello, ID 83209, United States.
• Guilherme Del Fiol
  Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, United States.
• Karl Madaras-Kelly
  Kasiska Division of Health Sciences, College of Pharmacy, Idaho State University, Pocatello, ID 83209, United States.

Keywords

External Resources