The effect of clinical decision support for advanced inpatient imaging

J Am Coll Radiol. 2015 Apr;12(4):358-63. doi: 10.1016/j.jacr.2014.11.013. Epub 2015 Jan 23.

Abstract

Purpose: To examine the effect of integrating point-of-care clinical decision support (CDS) using the ACR Appropriateness Criteria (AC) into an inpatient computerized provider order entry (CPOE) system for advanced imaging requests.

Methods: Over 12 months, inpatient CPOE requests for nuclear medicine, CT, and MRI were processed by CDS to generate an AC score using provider-selected data from pull-down menus. During the second 6-month period, AC scores were displayed to ordering providers, and acknowledgement was required to finalize a request. Request AC scores and percentages of requests not scored by CDS were compared among primary care providers (PCPs) and specialists, and by years in practice of the responsible physician of record.

Results: CDS prospectively generated a score for 26.0% and 30.3% of baseline and intervention requests, respectively. The average AC score increased slightly for all requests (7.2 ± 1.6 versus 7.4 ± 1.5; P < .001), for PCPs (6.9 ± 1.9 versus 7.4 ± 1.6; P < .001), and minimally for specialists (7.3 ± 1.6 versus 7.4 ± 1.5; P < .001). The percentage of requests lacking sufficient structured clinical information to generate an AC score decreased for all requests (73.1% versus 68.9%; P < .001), for PCPs (78.0% versus 71.7%; P < .001), and for specialists (72.9% versus 69.1%; P < .001).

Conclusions: Integrating CDS into inpatient CPOE slightly increased the overall AC score of advanced imaging requests as well as the provision of sufficient structured data to automatically generate AC scores. Both effects were more pronounced in PCPs compared with specialists.

Keywords: Clinical decision support; appropriateness criteria; computerized physician order entry; utilization management.

MeSH terms

  • Decision Support Systems, Clinical / statistics & numerical data*
  • Diagnostic Imaging / statistics & numerical data*
  • Medical Order Entry Systems / statistics & numerical data*
  • Medical Overuse / statistics & numerical data*
  • Michigan
  • Practice Patterns, Physicians' / statistics & numerical data*
  • Systems Integration
  • Utilization Review