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Incorporating ADA Best Practice Guidelines in Electronic Medical Records to Improve Glycemic Management in Hospitals

Aggressive management of diabetes using American Diabetes Association (ADA) best practice guidelines in hospitalized patients reduces morbidity and mortality. Inpatient electronic medical records systems improve care in chronic diseases by identifying care needs and improving the data available for decision making and disease management. The purpose of this quality improvement project was to evaluate the impact of ADA best practice guidelines of glycemic management once they have been entered into the electronic medical record (EMR) of hospitalized diabetics. Kotter's organizational change process guided the project. The project question investigated whether nurses' use of ADA Best Practice Guidelines incorporated into the EMR improves glycemic management in hospitalized patients. A quality improvement project pretest-posttest design evaluated the intervention to assess whether the program goals were met. A convenience sample of 8 nurses practicing in a subacute health care facility participated in the program with data obtained from a convenience sampling of diabetic patients admitted to the facility (n = 50). A1C, diabetes types, and hypo/hyperglycemic treatment event data were compared 30 days pre- and post-intervention. Outcome data calculated using descriptive statistics revealed improved documentation for A1C results (4% to 96%), the different types of diabetes (from 100% documented as Type 1 to 28 % documented as Type2), and increased corrective measures for abnormal glycemic events (increased 16% to 44%). EMR alerts and reminders provided timely information to health care practitioners, resulting in better management for the diabetic patient, thus affecting social change of diabetes care.

Identiferoai:union.ndltd.org:waldenu.edu/oai:scholarworks.waldenu.edu:dissertations-1317
Date01 January 2015
CreatorsBenjamin, Jennifer Claudette
PublisherScholarWorks
Source SetsWalden University
LanguageEnglish
Detected LanguageEnglish
Typetext
Formatapplication/pdf
SourceWalden Dissertations and Doctoral Studies

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