title: Computing performance measures for inpatient glucose management.
abstract: Recent research indicates that inpatients with hyperglycemia suffer poor outcomes. Efforts to improve glycemic control need measures of performance. We proposed candidate measures, but these require analysis of large glucose datasets, a cumbersome task for individual institutions. We developed an application accessible over the internet that facilitates computation of these performance measures.
authors.affiliation: Center for Medical Informatics, Department of Internal Medicine, Yale University, New Haven, CT, USA.
authors.forename: Prem
authors.initials: P
authors.lastname: Thomas
authors.forename: Richard
authors.initials: R
authors.lastname: Shiffman
authors.forename: Silvio E
authors.initials: SE
authors.lastname: Inzucchi
mesh_terms: D001786:Blood Glucose / Q000032:analysis*; D003920:Diabetes Mellitus / Q000097:blood*; D006760:Hospitalization; D006801:Humans; D010043:Outcome and Process Assessment, Health Care; D012984:Software
chemical_list: D001786:Blood Glucose