Name
Title | ||
|---|---|---|
Effectiveness of a Cloud-Based EHR Clinical Decision Support Program for Body Mass Index (BMI) Screening and Follow-up. |
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. |
Year | Venue | DocType |
|---|---|---|
2017 | AMIA | Conference |
Volume | Citations | PageRank |
2017 | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shruti Gangadhar | 1 | 0 | 1.01 |
| Nam Nguyen | 2 | 15 | 3.96 |
| James Pesuit | 3 | 0 | 0.34 |
| Alina Bogdanov | 4 | 0 | 1.01 |
| Lee Kallenbach | 5 | 0 | 0.34 |
| Jessica Ken | 6 | 0 | 0.68 |
| Joe Vasey | 7 | 0 | 0.68 |
| Richard M. Loomis | 8 | 0 | 0.68 |