Document Detail


Automation of the consensus guidelines in diabetes care: potential impact on clinical inertia.
MedLine Citation:
PMID:  20570811     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
CONCLUSION: 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:
A Michael Albisser; Francine Inhaber
Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists     Volume:  16     ISSN:  1934-2403     ISO Abbreviation:  Endocr Pract     Publication Date:    2010 Nov-Dec
Date Detail:
Created Date:  2011-01-10     Completed Date:  2011-05-09     Revised Date:  2011-05-23    
Medline Journal Info:
Nlm Unique ID:  9607439     Medline TA:  Endocr Pract     Country:  United States    
Other Details:
Languages:  eng     Pagination:  992-1002     Citation Subset:  IM    
Affiliation:
Control Medical Computers, Inc., Hollywood, FL, USA. albisser@nidm.org
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Consensus
Diabetes Mellitus*
Guidelines as Topic
Humans

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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