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Hage FG, Einstein AJ, Ananthasubramaniam K, Bourque JM, Case J, DePuey EG, Hendel RC, Henzlova MJ, Shah NR, Abbott BG, Al Jaroudi W, Better N, Doukky R, Duvall WL, Malhotra S, Pagnanelli R, Peix A, Reyes E, Saeed IM, Sanghani RM, Slomka PJ, Thompson RC, Veeranna V, Williams KA, Winchester DE. Quality metrics for single-photon emission computed tomography myocardial perfusion imaging: an ASNC information statement. J Nucl Cardiol 2023; 30:864-907. [PMID: 36607538 DOI: 10.1007/s12350-022-03162-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 11/17/2022] [Indexed: 01/07/2023]
Affiliation(s)
- Fadi G Hage
- Section of Cardiology, Birmingham VA Medical Center, Birmingham, AL, USA.
- Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham, 446 GSB, 520 19Th Street South, Birmingham, AL, 35294, USA.
| | - Andrew J Einstein
- Seymour, Paul and Gloria Milstein Division of Cardiology, Department of Medicine and Department of Radiology, Columbia University Irving Medical Center and NewYork-Presbyterian Hospital, New York, NY, USA
| | | | - Jamieson M Bourque
- Department of Medicine (Cardiology), University of Virginia Health System, Charlottesville, VA, USA
- Department of Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, VA, USA
| | - James Case
- Cardiovascular Imaging Technologies, Kansas City, MO, USA
| | - E Gordon DePuey
- Mount Sinai Morningside Hospital, New York, NY, USA
- Bay Ridge Medical Imaging, Brooklyn, NY, USA
| | - Robert C Hendel
- Department of Medicine, Division of Cardiology, Tulane University School of Medicine, New Orleans, LA, USA
| | | | - Nishant R Shah
- Warren Alpert Medical School, Brown University, Providence, RI, USA
| | - Brian G Abbott
- Warren Alpert Medical School, Brown University, Providence, RI, USA
| | - Wael Al Jaroudi
- Division of Cardiovascular Medicine, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Nathan Better
- Department of Nuclear Medicine and Cardiology, Royal Melbourne Hospital and University of Melbourne, Melbourne, Australia
| | - Rami Doukky
- Division of Cardiology, Cook County Health and Hospitals System, Chicago, IL, USA
| | - W Lane Duvall
- Heart and Vascular Institute, Hartford Hospital, Hartford, CT, USA
| | - Saurabh Malhotra
- Division of Cardiology, Cook County Health and Hospitals System, Chicago, IL, USA
| | | | - Amalia Peix
- Nuclear Medicine Department, Institute of Cardiology and Cardiovascular Surgery, La Habana, Cuba
| | - Eliana Reyes
- Nuclear Medicine Department, Royal Brompton and Harefield NHS Foundation Trust, London, UK
| | - Ibrahim M Saeed
- Virginia Heart, Falls Church, VA, USA
- INOVA Heart and Vascular Institute, Falls Church, VA, USA
- University of Missouri, Kansas City, MO, USA
| | - Rupa M Sanghani
- Division of Cardiology, Department of Medicine, Rush University Medical Center, Chicago, IL, USA
| | | | - Randall C Thompson
- Saint Luke's Mid America Heart Institute, University of Missouri-Kansas City, Kansas City, MO, USA
| | - Vikas Veeranna
- Division of Cardiology, Department of Medicine, New England Heart and Vascular Institute, Manchester, NH, USA
| | - Kim A Williams
- Department of Medicine, University of Louisville Department of Medicine, Louisville, KY, USA
| | - David E Winchester
- Malcom Randall VA Medical Center, Gainesville, FL, USA
- Division of Cardiovascular Medicine, University of Florida College of Medicine, Gainesville, FL, USA
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Gish DS, Ellenbogen AL, Patrie JT, Gaskin CM. Retrospective Evaluation of Artificial Intelligence Leveraging Free-Text Imaging Order Entry to Facilitate Federally Required Clinical Decision Support. J Am Coll Radiol 2021; 18:1476-1484. [PMID: 34600896 DOI: 10.1016/j.jacr.2021.08.021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 08/29/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVE The Protecting Access to Medicare Act mandates clinical decision support (CDS) at imaging order entry, necessitating the use of structured indications to map CDS scores. We evaluated the performance of a commercially available artificial intelligence (AI) tool leveraging free-text order entry to facilitate provider selection of the necessary structured indications. METHODS Our institution implemented an AI tool offering predicted structured indications based upon the ordering provider's entry of a free-text reason for examination. Providers remained able to order via the traditional direct search for structured indications. Alternatively, they could take the new free-text-AI approach allowing them to select from AI-predicted indications, perform additional direct searches, indicate no matching indication, or exit CDS workflow. We hypothesized the free-text-AI approach would be elected more often and the AI tool would be successful in facilitating selection of structured indications. We reviewed advanced imaging orders (n = 40,053) for the first 3 months (February to May 2020) since implementation. RESULTS Providers were more likely (P < .001) to choose the free-text-AI approach (23,580; 58.9%) to order entry over direct search for structured indications (16,473; 41.1%). The AI tool yielded alerts with predicted indications in 91.7% (n = 21,631) of orders with free text. Ultimately, providers chose AI-predicted indications in 57.7% (n = 12,490) of cases in which they were offered by the tool. DISCUSSION Providers significantly more often elected the new free-text-AI approach to order entry for CDS, suggesting provider preference over the traditional approach. The AI tool commonly predicted indications acceptable to ordering providers.
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Affiliation(s)
- David S Gish
- Department of Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, Virginia
| | - Amy L Ellenbogen
- Department of Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, Virginia
| | - James T Patrie
- Department of Public Health Sciences, University of Virginia Health System, Charlottesville, Virginia
| | - Cree M Gaskin
- Vice-Chair of Clinical Operations and Informatics, Division Chief of Musculoskeletal Imaging and Intervention, and Associate Chief Medical Information Officer, Department of Radiology and Medical Imaging, University of Virginia Health System, Charlottesville Virginia.
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Shah NR, Winchester DE, Freeman AM. Using a sledgehammer to crack a nut: The burdensome appropriate use criteria program. J Nucl Cardiol 2021; 28:1998-2000. [PMID: 31832884 DOI: 10.1007/s12350-019-01978-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Accepted: 11/25/2019] [Indexed: 11/26/2022]
Affiliation(s)
- Nishant R Shah
- Division of Cardiology, Department of Medicine, Brown University Alpert Medical School, Providence, RI, USA
| | - David E Winchester
- Cardiology Section, Malcom Randall VAMC, Department of Medicine, University of Florida College of Medicine, Gainesville, FL, USA
| | - Andrew M Freeman
- Division of Cardiology, Department of Medicine, National Jewish Health, 1400 Jackson St. J317, Denver, CO, 80206, USA.
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