Importance: Health information technology has been used to improve diabetes care and outcomes.
With the implementation of our diabetes registry, we discovered several flaws in the data. Objective:
The aim of this paper is to demonstrate whether improving diabetes templates in electronic
medical records associated with data feedback, improves process and quality outcomes for patients
with diabetes. Methods: We redesigned our chronic diseases templates and clinical flow, built a
diabetes registry and used the data for feedback to educate providers, staff and address inconsistencies.
A total of 724 active diabetic patients were identified in October 2009 (pre-implementation)
and 731 active diabetic patients were identified in June 2011 (post-implementation). Results:
The results showed an improvement in the process outcomes of ordering hemoglobin A1C every 6
months and a microalbumin every 12 months (p-value < 0.05), but no change in the quality outcomes
hemoglobin A1C less than 7, blood pressure less than 140/90 and LDL cholesterol less than
100 (p-value > 0.05). Discussion: Data feedback and lessons learned were instrumental to our
practice change.
Importance: Health information technology has been used to improve diabetes care and outcomes.With the implementation of our diabetes registry, we discovered several flaws in the data. Objective:The aim of this paper is to demonstrate whether improving diabetes templates in electronicmedical records associated with data feedback, improves process and quality outcomes for patientswith diabetes. Methods: We redesigned our chronic diseases templates and clinical flow, built adiabetes registry and used the data for feedback to educate providers, staff and address inconsistencies.A total of 724 active diabetic patients were identified in October 2009 (pre-implementation)and 731 active diabetic patients were identified in June 2011 (post-implementation). Results:The results showed an improvement in the process outcomes of ordering hemoglobin A1C every 6months and a microalbumin every 12 months (p-value < 0.05), but no change in the quality outcomeshemoglobin A1C less than 7, blood pressure less than 140/90 and LDL cholesterol less than100 (p-value > 0.05). Discussion: Data feedback and lessons learned were instrumental to ourpractice change.
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