Abstract

ObjectivesTo illustrate key contextual factors that may have effects on clinical decision support (CDS) adoption and, ultimately, success.Materials and MethodsWe conducted a qualitative evaluation of 2 similar radiology CDS innovations for near-term endpoints affecting adoption and present the findings using an evaluation framework. We identified key contextual factors between these 2 innovations and determined important adoption differences between them.ResultsDegree of electronic health record integration, approach to education and training, key drivers of adoption, and tailoring of the CDS to the clinical context were handled differently between the 2 innovations, contributing to variation in their relative degrees of adoption and use. Attention to these factors had impacts on both near and later-term measures of success (eg, patient outcomes).DiscussionCDS adoption is a well-studied early-term measure of CDS success that directly impacts outcomes. Adoption requires attention throughout the design phases of an intervention especially to key factors directly affecting it, including how implementation across multiple sites and systems complicates adoption, which prior experience with CDS matters, and that practice guidelines invariably require tailoring to the clinical context.ConclusionWith better planning for the capture of early-term measures of successful CDS implementation, especially adoption, critical adjustments may be made to ensure that the CDS is effectively implemented to be successful.

Highlights

  • Clinical decision support (CDS) tools have shown improvements in efficiency and accuracy for medication ordering by reducing medical errors, improving formulary adherence, and improving patient outcomes through better management of contraindications and allergic events.[1]

  • In an effort to identify and understand the models that can be replicated on a broader scale, the Center for Medicare & Medicaid Innovation (CMMI) contracted with RTI International to evaluate the 24 Health Care Innovation Awards (HCIA) Community Resource awardees (HCIA awardees)

  • Of the broader set of HCIA awardees, these were by far the lowest rates of response to the provider survey

Read more

Summary

Introduction

Clinical decision support (CDS) tools have shown improvements in efficiency and accuracy for medication ordering by reducing medical errors, improving formulary adherence, and improving patient outcomes through better management of contraindications and allergic events.[1]. Since the introduction of the Meaningful Use (MU) program, greater attention is being paid to CDS components of the electronic health record (EHR). Future stages of MU ( the Quality Payment Program) will require the integration of CDS for radiology exams.[2]. The CDS tools give health care providers specific recommendations on the optimal order for selecting and conducting imaging tests, such as X-rays or magnetic resonance imaging. Many articles in VC The Author(s) 2019.

Objectives
Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call