title: Use patterns of health information exchange systems and admission decisions: Reductionistic and configurational approaches.
abstract: BACKGROUND
  Research that endeavors to identify the value of electronic health information exchange (HIE) systems to the healthcare industry and, specifically, to clinical decision making is often inconclusive or theory-based. Studies seeking to identify how clinical decisions relate to patterns of actual HIE use, often by analyzing system log files, generally rely on dichotomous distinctions between system use and no-use, disregard the availability of information in the system, and control for few user characteristics.
  
  
  OBJECTIVE
  We aim at empirically exploring the associations between use patterns of HIE systems and subsequent clinical decisions on the basis of broad definitions of use patterns, available information, and control variables.
  
  
  METHODS
  We examine the decision to admit critically-ill patients either to the intensive care unit (ICU) or to another ward at a busy emergency department in the period 2010-2012. Using HIE log files, use patterns are characterized by the variables of number of users, volume, diversity, granularity, duration, and content. We test the association between HIE use patterns and the admission decision, after controlling for multiple demographic, clinical, physician, and situational variables and for available HIE information. This association is examined by taking a reductionistic approach that focuses on independent use variables and a configurational approach that focuses on use profiles.
  
  
  RESULTS
  Five use profiles were identified, the largest of which (46.95% of encounters) described basic HIE access. ICU admission is more probable when the HIE system is perused by multiple users (odds increase by 31%) and when use profiles include prolonged screen viewing (odds increase by 159%) or access to diverse and multiple types of information, specifically on test results, procedures, and previous encounters.
  
  
  CONCLUSIONS
  Reductionistic and configurational approaches yield complementary insights, which advance the understanding of how actual HIE use is associated with clinical decision making. The study shows that congruent profiles of HIE use enhance the predictability of the admission decision beyond what can be explained by independent variables of HIE use.
authors.affiliation: Department of Industrial Engineering & Management, Ben-Gurion University of the Negev, Israel. Electronic address: liranpo@post.bgu.ac.il.
authors.forename: Liran
authors.initials: L
authors.lastname: Politi
authors.affiliation: Clinical Research Center, Soroka University Medical Center, Israel.
authors.forename: Shlomi
authors.initials: S
authors.lastname: Codish
authors.affiliation: Clinical Research Center, Soroka University Medical Center, Israel.
authors.forename: Iftach
authors.initials: I
authors.lastname: Sagy
authors.affiliation: Department of Industrial Engineering & Management, Ben-Gurion University of the Negev, Israel.
authors.forename: Lior
authors.initials: L
authors.lastname: Fink
mesh_terms: D000066491:Clinical Decision-Making / Q000379:methods*; D016638:Critical Illness / Q000145:classification / Q000453:epidemiology*; D066275:Health Information Exchange / Q000706:statistics & numerical data*; D006801:Humans; D010343:Patient Admission / Q000706:statistics & numerical data*; D010818:Practice Patterns, Physicians' / Q000706:statistics & numerical data; D014481:United States / Q000453:epidemiology; D014584:User-Computer Interface; D014600:Utilization Review / Q000379:methods*
keywords: Clinical decision making; Emergency department; Health information exchange; Intensive care unit; Use pattern