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Yacoub JH, Weitz DA, Stirrat TP, Fong A, Ratwani RM. Reading Room Interruptions are Less Disruptive When Using Asynchronous Communication Methods. JOURNAL OF IMAGING INFORMATICS IN MEDICINE 2024; 37:2038-2046. [PMID: 38504083 PMCID: PMC11522212 DOI: 10.1007/s10278-024-01073-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 02/06/2024] [Accepted: 03/01/2024] [Indexed: 03/21/2024]
Abstract
Radiologist interruptions, though often necessary, can be disruptive. Prior literature has shown interruptions to be frequent, occurring during cases, and predominantly through synchronous communication methods such as phone or in person causing significant disengagement from the study being read. Asynchronous communication methods are now more widely available in hospital systems such as ours. Considering the increasing use of asynchronous communication methods, we conducted an observational study to understand the evolving nature of radiology interruptions. We hypothesize that compared to interruptions occurring through synchronous methods, interruptions via asynchronous methods reduce the disruptive nature of interruptions by occurring between cases, being shorter, and less severe. During standard weekday hours, 30 radiologists (14 attendings, 12 residents, and 4 fellows) were directly observed for approximately 90-min sessions across three different reading rooms (body, neuroradiology, general). The frequency of interruptions was documented including characteristics such as timing, severity, method, and length. Two hundred twenty-five interruptions (43 Teams, 47 phone, 89 in-person, 46 other) occurred, averaging 2 min and 5 s with 5.2 interruptions per hour. Microsoft Teams interruptions averaged 1 min 12 s with only 60.5% during cases. In-person interruptions averaged 2 min 12 s with 82% during cases. Phone interruptions averaged 2 min and 48 s with 97.9% during cases. A substantial portion of reading room interruptions occur via predominantly asynchronous communication tools, a new development compared to prior literature. Interruptions via predominantly asynchronous communications tools are shorter and less likely to occur during cases. In our practice, we are developing tools and mechanisms to promote asynchronous communication to harness these benefits.
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Affiliation(s)
- Joseph H Yacoub
- Department of Radiology, MedStar Georgetown University Hospital, 3800 Reservoir Rd NW, Washington, DC, USA.
| | - Daniel A Weitz
- School of Medicine, Georgetown University, Washington, DC, USA
| | | | - Allan Fong
- MedStar National Center for Human Factors Engineering in Healthcare, MedStar Health Research Institute, Washington, DC, USA
| | - Raj M Ratwani
- MedStar National Center for Human Factors Engineering in Healthcare, MedStar Health Research Institute, Washington, DC, USA
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Suresh K, Hill PA, Kahn CE, Schnall MD, Rosen MA, Zafar HM, Trerotola SO, Cook TS. Quality Improvement Report: Design and Implementation of a Radiology E-Consult Service. Radiographics 2023; 43:e230139. [PMID: 38032820 DOI: 10.1148/rg.230139] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2023]
Abstract
Electronic consultations (e-consults) mediated through an electronic health record system or web-based platform allow synchronous or asynchronous physician-to-physician communication. E-consults have been explored in various clinical specialties, but relatively few instances in the literature describe e-consults to connect health care providers directly with radiologists.The authors outline how a radiology department can implement an e-consult service and review the development of such a service in a large academic health system. They describe the logistics, workflow, turnaround time expectations, stakeholder management, and pilot implementation and highlight challenges and lessons learned.
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Affiliation(s)
- Kalpana Suresh
- From the Department of Radiology, the Institute for Biomedical Informatics, and the Leonard Davis Institute of Health Economics, The University of Pennsylvania, Penn Medicine, 3400 Spruce St, Philadelphia, PA 19104 (K.S., C.E.K., M.D.S., M.A.R., H.M.Z., S.O.T., T.S.C.); and Valley Health, Winchester, VA (P.A.H.)
| | - Paul A Hill
- From the Department of Radiology, the Institute for Biomedical Informatics, and the Leonard Davis Institute of Health Economics, The University of Pennsylvania, Penn Medicine, 3400 Spruce St, Philadelphia, PA 19104 (K.S., C.E.K., M.D.S., M.A.R., H.M.Z., S.O.T., T.S.C.); and Valley Health, Winchester, VA (P.A.H.)
| | - Charles E Kahn
- From the Department of Radiology, the Institute for Biomedical Informatics, and the Leonard Davis Institute of Health Economics, The University of Pennsylvania, Penn Medicine, 3400 Spruce St, Philadelphia, PA 19104 (K.S., C.E.K., M.D.S., M.A.R., H.M.Z., S.O.T., T.S.C.); and Valley Health, Winchester, VA (P.A.H.)
| | - Mitchell D Schnall
- From the Department of Radiology, the Institute for Biomedical Informatics, and the Leonard Davis Institute of Health Economics, The University of Pennsylvania, Penn Medicine, 3400 Spruce St, Philadelphia, PA 19104 (K.S., C.E.K., M.D.S., M.A.R., H.M.Z., S.O.T., T.S.C.); and Valley Health, Winchester, VA (P.A.H.)
| | - Mark A Rosen
- From the Department of Radiology, the Institute for Biomedical Informatics, and the Leonard Davis Institute of Health Economics, The University of Pennsylvania, Penn Medicine, 3400 Spruce St, Philadelphia, PA 19104 (K.S., C.E.K., M.D.S., M.A.R., H.M.Z., S.O.T., T.S.C.); and Valley Health, Winchester, VA (P.A.H.)
| | - Hanna M Zafar
- From the Department of Radiology, the Institute for Biomedical Informatics, and the Leonard Davis Institute of Health Economics, The University of Pennsylvania, Penn Medicine, 3400 Spruce St, Philadelphia, PA 19104 (K.S., C.E.K., M.D.S., M.A.R., H.M.Z., S.O.T., T.S.C.); and Valley Health, Winchester, VA (P.A.H.)
| | - Scott O Trerotola
- From the Department of Radiology, the Institute for Biomedical Informatics, and the Leonard Davis Institute of Health Economics, The University of Pennsylvania, Penn Medicine, 3400 Spruce St, Philadelphia, PA 19104 (K.S., C.E.K., M.D.S., M.A.R., H.M.Z., S.O.T., T.S.C.); and Valley Health, Winchester, VA (P.A.H.)
| | - Tessa S Cook
- From the Department of Radiology, the Institute for Biomedical Informatics, and the Leonard Davis Institute of Health Economics, The University of Pennsylvania, Penn Medicine, 3400 Spruce St, Philadelphia, PA 19104 (K.S., C.E.K., M.D.S., M.A.R., H.M.Z., S.O.T., T.S.C.); and Valley Health, Winchester, VA (P.A.H.)
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