Clinical Decision Support for Women With a History of Gestational Diabetes

The investigators hypothesize that computer-assisted decision support will increase the percentage of women with a history of gestational diabetes who receive appropriate follow-up screening. Specific Aim 1: Develop an algorithm to identify cases of gestational diabetes among patients in the Partners Health Care system using administrative and laboratory data. Specific Aim 2: Assess primary care provider knowledge, attitudes, beliefs, and barriers to compliance regarding screening guidelines for women with a history of gestational diabetes. Specific Aim 3: Test whether a computer-assisted decision support tool to identify patients with a GDM history and prompt screening will increase compliance with guidelines. The investigators hypothesize that decision support will significantly increase in the percentage of women screened.