title: Can a Patient's In-Hospital Length of Stay and Mortality Be Explained by Early-Risk Assessments?
abstract: OBJECTIVE
  To assess whether a patient's in-hospital length of stay (LOS) and mortality can be explained by early objective and/or physicians' subjective-risk assessments.
  
  
  METHODS
  Analysis of a detailed dataset of 1,021 patients admitted to a large U.S. hospital between January and September 2014.
  
  
  METHODS
  We empirically test the explanatory power of objective and subjective early-risk assessments using various linear and logistic regression models.
  
  
  RESULTS
  The objective measures of early warning can only weakly explain LOS and mortality. When controlled for various vital signs and demographics, objective signs lose their explanatory power. LOS and death are more associated with physicians' early subjective risk assessments than the objective measures.
  
  
  CONCLUSIONS
  Explaining LOS and mortality require variables beyond patients' initial medical risk measures. LOS and in-hospital mortality are more associated with the way in which the human element of healthcare service (e.g., physicians) perceives and reacts to the risks.
authors.affiliation: Industrial and Systems Engineering Department, Rochester Institute of Technology, Rochester, New York, United States of America.
authors.forename: Nasibeh
authors.initials: N
authors.lastname: Azadeh-Fard
authors.affiliation: Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia, United States of America.
authors.forename: Navid
authors.initials: N
authors.lastname: Ghaffarzadegan
authors.affiliation: Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia, United States of America.
authors.forename: Jaime A
authors.initials: JA
authors.lastname: Camelio
mesh_terms: D005260:Female; D017052:Hospital Mortality; D006801:Humans; D007902:Length of Stay; D008297:Male; D018570:Risk Assessment; D014481:United States