NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Place of publication: United States, Ann Arbor; ISBN=978-1-339-79704-5
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
Ph.D.
Discipline of degree
Biomedical Informatics
Body granting the degree
The University of Utah
Text preceding or following the note
2016
SUMMARY OR ABSTRACT
Text of Note
Clinical decision support systems (CDSS) and electronic health records (EHR) have been widely adopted but do not support a high level of reasoning for the clinician. As a result, workflow incongruity and provider frustrations lead to more errors in reasoning. Other successful fields such as defense, aviation, and the military have used task complexity as a key factor in decision support system development. Task complexity arises during the interaction of the user and the tasks. Therefore, in this dissertation I have utilized different human factor methods to explore task complexity factors to understand their utility in health information technology system design.
TOPICAL NAME USED AS SUBJECT
Information Technology; Biomedical engineering; Behavioral Sciences; Cognitive psychology; Health care management
UNCONTROLLED SUBJECT TERMS
Subject Term
Applied sciences;Psychology;Health and environmental sciences;Clinical complexity;Clinical decision support;Electronic health record;Healthcare system design;Infectious disease;Population decision support