Prescription reporting with immediate medication utilization mapping (PRIMUM): development of an alert to improve narcotic prescribing

BMC Medical Informatics and Decision Making

Technical Advance

Joseph R. Hsu¹  Meghan K. Wally¹  Daniel Leas¹  Rachel B. Seymour¹ 

[1] Department of Orthopaedic Surgery, Carolinas Health Care System, 1000 Blythe Boulevard, 28203, Charlotte, NC, USA;Carolinas Trauma Network Research Center of Excellence, Carolinas Health Care System, 1320 Scott Avenue, NC 28204, Charlotte, USA;

关键词: Opioids;    Electronic medical record;    Prescription drug abuse;    Clinical decision support;   

DOI  :  10.1186/s12911-016-0352-x

 received in 2016-03-03, accepted in 2016-08-18,  发布年份 2016

来源: Springer

【 摘 要 】

BackgroundPrescription narcotic overdoses and abuse have reached alarming numbers. To address this epidemic, integrated clinical decision support within the electronic medical record (EMR) to impact prescribing behavior was developed and tested.MethodsA multidisciplinary Expert Panel identified risk factors for misuse, abuse, or diversion of opioids or benzodiazepines through literature reviews and consensus building for inclusion in a rule within the EMR. We ran the rule “silently” to test the rule and collect baseline data.ResultsFive criteria were programmed to trigger the alert; based on data collected during a “silent” phase, thresholds for triggers were modified. The alert would have fired in 21.75 % of prescribing encounters (1.30 % of all encounters; n = 9998), suggesting the alert will have a low prescriber burden yet capture a significant number of at-risk patients.ConclusionsWhile the use of the EMR to provide clinical decision support is not new, utilizing it to develop and test an intervention is novel. We successfully built an alert system to address narcotic prescribing by providing critical, objective information at the point of care. The silent phase data were useful to appropriately tune the alert and obtain support for widespread implementation. Future healthcare initiatives can utilize similar methodology to collect data prospectively via the electronic medical record to inform the development, delivery, and evaluation of interventions.

【 授权许可】

CC BY   
© The Author(s). 2016