Literature DB >> 29854140

Effectiveness of a Cloud-Based EHR Clinical Decision Support Program for Body Mass Index (BMI) Screening and Follow-up.

Shruti Gangadhar1, Nam Nguyen1, James W Pesuit1, Alina N Bogdanov1, Lee Kallenbach1, Jessica Ken1, Joe Vasey1, Richard M Loomis1.   

Abstract

The effectiveness of a clinical decision support (CDS) program encouraging clinicians to record patient's Body Mass Index (BMI) and document appropriate follow-up plans is evaluated. Test (4,987 practices, 33,445 clinicians) and control groups (881 practices, 6,316 clinicians) were selected using stratified random sampling. Three CDS alerts for BMI screening and follow-up based on evidence based clinical quality guidelines were displayed at the point of care in a cloud-based EHR. The effectiveness of the CDS program was measured over 4 months by tracking recorded BMI and documented follow-up plans. Over the program, BMI recording increased minimally and documentation of follow-up plans increased 5-fold (p=0.05) compared to the control group. The overweight test group patients (18- 64yo) gained less weight (p=0.06) than the control group and underweight patients gained more weight (p<0.01) during the program period. Outcome studies with longer follow-up periods are needed to further confirm positive outcomes.

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Mesh：

Year:  2018        PMID： 29854140      PMCID： PMC5977575     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN： 1559-4076


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