title: Automation of the consensus guidelines in diabetes care: potential impact on clinical inertia.
abstract: OBJECTIVE
  To propose that automation of the consensus guidelines and mandated targets (CG&MT) in glycemia, hemoglobin A1c, and body weight will facilitate optimal clinical management of patients with diabetes.
  
  
  METHODS
  (1) A simplified method for capturing diabetes outcomes at home was devised, (2) relevant portions of the CG&MT were translated into computer code and automated, and (3) algorithms were applied to transform data from self-monitoring of blood glucose into circadian profiles and hemoglobin A1c levels. (4) The resulting procedures were integrated into a USB memory drive for use by health-care providers at the point of care.
  
  
  RESULTS
  For input from patients, a simple form is used to capture data on diabetes outcomes, including blood glucose measurements before and after meals and at bedtime, medication, and lifestyle events in a structured fashion. At each encounter with a health-care provider, the patient's data are transferred into the device and become available to assist in identifying deviations from mandated targets, potential risks of hypoglycemia, and necessary prescription changes. Preliminary observations during a 2 1/2-year period from a community support group dedicated to glycemic control on 20 unselected patients (10 with and 10 without use of the device) are summarized.
  
  
  CONCLUSIONS
  With use of the automated information, the health professional is supported at the point of care to achieve better, safer outcomes and practice evidence-based medicine entirely in lockstep with the CG&MT. This automation helps to overcome clinical inertia.
authors.affiliation: Control Medical Computers, Inc., Hollywood, FL, USA. albisser@nidm.org
authors.forename: A Michael
authors.initials: AM
authors.lastname: Albisser
authors.forename: Francine
authors.initials: F
authors.lastname: Inhaber
mesh_terms: D000465:Algorithms; D032921:Consensus; D003920:Diabetes Mellitus; D017408:Guidelines as Topic; D006801:Humans