Clinical decision support for high-cost imaging: A randomized clinical trial
© 2019 Doyle et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. There is widespread concern over the health...
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2021
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| Online Access: | https://hdl.handle.net/1721.1/135117 |
| _version_ | 1826192601490915328 |
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| author | Doyle, Joseph Abraham, Sarah Feeney, Laura Reimer, Sarah Finkelstein, Amy |
| author2 | Sloan School of Management |
| author_facet | Sloan School of Management Doyle, Joseph Abraham, Sarah Feeney, Laura Reimer, Sarah Finkelstein, Amy |
| author_sort | Doyle, Joseph |
| collection | MIT |
| description | © 2019 Doyle et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. There is widespread concern over the health risks and healthcare costs from potentially inappropriate high-cost imaging. As a result, the Centers for Medicare and Medicaid Services (CMS) will soon require high-cost imaging orders to be accompanied by Clinical Decision Support (CDS): software that provides appropriateness information at the time orders are placed via a best practice alert for targeted (i.e. likely inappropriate) imaging orders, although the impacts of CDS in this context are unclear. In this randomized trial of 3,511 healthcare providers at Aurora Health Care, we study the impacts of CDS on the ordering behavior of providers. We find that CDS reduced targeted imaging orders by a statistically significant 6%, however there was no statistically significant change in the total number of high-cost scans or of low-cost scans. The results suggest that the impending CMS mandate requiring healthcare systems to adopt CDS may modestly increase the appropriateness of high-cost imaging. |
| first_indexed | 2024-09-23T09:24:18Z |
| format | Article |
| id | mit-1721.1/135117 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T09:24:18Z |
| publishDate | 2021 |
| publisher | Public Library of Science (PLoS) |
| record_format | dspace |
| spelling | mit-1721.1/1351172023-03-01T21:07:02Z Clinical decision support for high-cost imaging: A randomized clinical trial Doyle, Joseph Abraham, Sarah Feeney, Laura Reimer, Sarah Finkelstein, Amy Sloan School of Management Massachusetts Institute of Technology. Department of Economics Abdul Latif Jameel Poverty Action Lab (Massachusetts Institute of Technology) © 2019 Doyle et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. There is widespread concern over the health risks and healthcare costs from potentially inappropriate high-cost imaging. As a result, the Centers for Medicare and Medicaid Services (CMS) will soon require high-cost imaging orders to be accompanied by Clinical Decision Support (CDS): software that provides appropriateness information at the time orders are placed via a best practice alert for targeted (i.e. likely inappropriate) imaging orders, although the impacts of CDS in this context are unclear. In this randomized trial of 3,511 healthcare providers at Aurora Health Care, we study the impacts of CDS on the ordering behavior of providers. We find that CDS reduced targeted imaging orders by a statistically significant 6%, however there was no statistically significant change in the total number of high-cost scans or of low-cost scans. The results suggest that the impending CMS mandate requiring healthcare systems to adopt CDS may modestly increase the appropriateness of high-cost imaging. 2021-10-27T20:10:48Z 2021-10-27T20:10:48Z 2019 2019-10-22T18:00:58Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/135117 en 10.1371/JOURNAL.PONE.0213373 PLoS ONE Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf Public Library of Science (PLoS) PLoS |
| spellingShingle | Doyle, Joseph Abraham, Sarah Feeney, Laura Reimer, Sarah Finkelstein, Amy Clinical decision support for high-cost imaging: A randomized clinical trial |
| title | Clinical decision support for high-cost imaging: A randomized clinical trial |
| title_full | Clinical decision support for high-cost imaging: A randomized clinical trial |
| title_fullStr | Clinical decision support for high-cost imaging: A randomized clinical trial |
| title_full_unstemmed | Clinical decision support for high-cost imaging: A randomized clinical trial |
| title_short | Clinical decision support for high-cost imaging: A randomized clinical trial |
| title_sort | clinical decision support for high cost imaging a randomized clinical trial |
| url | https://hdl.handle.net/1721.1/135117 |
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