![]() ![]() For every study that triggers the CDS, these data elements are stored on dedicated servers hosted locally within the department of Radiology. In addition to providing feedback to the referring provider at the time of order entry, the software also collects data elements including ordering department, provider types, type of study ordered, pediatric versus adult patient, imaging modality, scores of interest, and patient class (inpatient or outpatient), and the ACR appropriateness designation of the studies performed. Our implementation was staged, beginning in July of 2014, the details of which have been reported previously. As opposed to institution-specific homegrown CDS, commercially available products can be purchased and implemented by any private or academic practice. Our institution was an early adopter of commercial CDS, specifically ACR Select (ACR Select, National Decision Support Company, Madison, WI). By providing this feedback, it is hoped that ordering providers will more consistently select more appropriate studies for their patients. Studies are rated 1–3 for “usually not appropriate,” 4–6 for “may be appropriate,” and 7–9 for “usually appropriate.” Clinical decision support software integrates these scores with the electronic order entry system to provide feedback to ordering providers about the studies they are ordering. These guidelines are derived by panels of radiologists and other medical specialists. These tools use the American College of Radiology appropriateness criteria (ACR AC or appropriateness criteria), which are consensus guidelines rating a variety of possible imaging studies for a given clinical indication. In response to mandates included in the Protecting Access to Medicare Act of 2014 (PAMA 2014), clinical decision support (CDS) tools for imaging orders are being widely implemented by health systems in the USA. Integrating data visualization tools into clinical decision support tools allows for easier data analysis and can streamline research and quality improvement efforts. The creation of the dashboard allowed the output from the CDS platform to be more easily analyzed and facilitated hypothesis generation. This allowed for real-time visualization of the data generated by the decision support software. Data generated by the CDS were exported from the data warehouse, where they were stored, into the platform. ![]() Following the integration of a commercially available clinical decision support product into the electronic health record, a dashboard was created using a commercially available data visualization platform (Tableau, Seattle, WA). ![]() In order to better visualize and analyze trends in this data, an interactive data visualization dashboard was created using a commercially available data visualization platform. CDS systems produce a large volume of data, providing opportunities for research and quality improvement. This software provides imaging study decision support for referring providers at the point of order entry. Due to mandates from recent legislation, clinical decision support (CDS) software is being adopted by radiology practices across the country. ![]()
0 Comments
Leave a Reply. |