title: Design and implementation of a web-based reporting and benchmarking center for inpatient glucometrics.
abstract: Insulin is a top source of adverse drug events in the hospital, and glycemic control is a focus of improvement efforts across the country. Yet, the majority of hospitals have no data to gauge their performance on glycemic control, hypoglycemia rates, or hypoglycemic management. Current tools to outsource glucometrics reports are limited in availability or function. Society of Hospital Medicine (SHM) faculty designed and implemented a web-based data and reporting center that calculates glucometrics on blood glucose data files securely uploaded by users. Unit labels, care type (critical care, non-critical care), and unit type (eg, medical, surgical, mixed, pediatrics) are defined on upload allowing for robust, flexible reporting. Reports for any date range, care type, unit type, or any combination of units are available on demand for review or downloading into a variety of file formats. Four reports with supporting graphics depict glycemic control, hypoglycemia, and hypoglycemia management by patient day or patient stay. Benchmarking and performance ranking reports are generated periodically for all hospitals in the database. In all, 76 hospitals have uploaded at least 12 months of data for non-critical care areas and 67 sites have uploaded critical care data. Critical care benchmarking reveals wide variability in performance. Some hospitals achieve top quartile performance in both glycemic control and hypoglycemia parameters. This new web-based glucometrics data and reporting tool allows hospitals to track their performance with a flexible reporting system, and provides them with external benchmarking. Tools like this help to establish standardized glucometrics and performance standards.
authors.affiliation: Department of Medicine, Division of Hospital Medicine, University of California, San Diego School of Medicine, San Diego, CA, USA gmaynard@ucsd.edu.
authors.forename: Greg
authors.initials: G
authors.lastname: Maynard
authors.affiliation: Brigham and Women's Hospital, Boston, MA, USA.
authors.forename: Jeffrey Lawrence
authors.initials: JL
authors.lastname: Schnipper
authors.affiliation: Morton Plant Hospital, Incompass Health, Clearwater, FL, USA.
authors.forename: Jordan
authors.initials: J
authors.lastname: Messler
authors.affiliation: University of California, San Diego, San Diego, CA, USA.
authors.forename: Pedro
authors.initials: P
authors.lastname: Ramos
authors.affiliation: Department of Endocrinology, Diabetes and Metabolism, University of California, San Diego School of Medicine, San Diego, CA, USA.
authors.forename: Kristen
authors.initials: K
authors.lastname: Kulasa
authors.affiliation: Society of Hospital Medicine, Philadelphia, PA, USA.
authors.forename: Ann
authors.initials: A
authors.lastname: Nolan
authors.affiliation: University of New Mexico Health Sciences Center, Albuquerque, NM, USA.
authors.forename: Kendall
authors.initials: K
authors.lastname: Rogers
mesh_terms: D000328:Adult; D019985:Benchmarking / Q000379:methods*; D001786:Blood Glucose / Q000032:analysis*; D002648:Child; D003422:Critical Care; D006761:Hospitals; D006801:Humans; D007297:Inpatients; D020407:Internet; D011182:Postoperative Care; D058996:Quality Improvement / Q000639:trends*
chemical_list: D001786:Blood Glucose
keywords: benchmarking; blood glucose monitoring; diabetes; glycemic control; hospital; hyperglycemia; hypoglycemia; quality improvement