Informatics Solutions for Driving an Effective and Efficient Radiology Practice
Abstract
Informatics tools enable the ability to create unique solutions that help improve radiologist efficiency, engagement, and patient care in the current climate of increasing case volumes and workplace pressures.
Radiologists are facing increasing workplace pressures that can lead to decreased job satisfaction and burnout. The increasing complexity and volumes of cases and increasing numbers of noninterpretive tasks, compounded by decreasing reimbursements and visibility in this digital age, have created a critical need to develop innovations that optimize workflow, increase radiologist engagement, and enhance patient care. During their workday, radiologists often must navigate through multiple software programs, including picture archiving and communication systems, electronic health records, and dictation software. Furthermore, additional noninterpretive duties can interrupt image review. Fragmented data and frequent task switching can create frustration and potentially affect patient care. Despite the current successful technological advancements across industries, radiology software systems often remain nonintegrated and not leveraged to their full potential. Each step of the imaging process can be enhanced with use of information technology (IT). Successful implementation of IT innovations requires a collaborative team of radiologists, IT professionals, and software programmers to develop customized solutions. This article includes a discussion of how IT tools are used to improve many steps of the imaging process, including examination protocoling, image interpretation, reporting, communication, and radiologist feedback.
©RSNA, 2018
References
- 1. . The effects of changes in utilization and technological advancements of cross-sectional imaging on radiologist workload. Acad Radiol 2015;22(9):1191–1198.
- 2. . The evolving role of the radiologist: the Vancouver Workload Utilization Evaluation Study. J Am Coll Radiol 2013;10(10):764–769.
- 3. . A human factors approach to understanding the types and sources of interruptions in radiology reading rooms. J Am Coll Radiol 2016;13(9):1102–1105.
- 4. . Burnout of radiologists: frequency, risk factors, and remedies: a report of the ACR Commission on Human Resources. J Am Coll Radiol 2016;13(4):411–416.
- 5. . Medscape radiologist compensation report 2016. Medscape website. https://www.medscape.com/features/slideshow/compensation/2016/radiology#page=12. Published 2016. Accessed February 22, 2018.
- 6. . Medscape radiology lifestyle report 2016: bias and burnout. Medscape website. https://www.medscape.com/features/slideshow/lifestyle/2016/radiology#page=15. Published 2016. Accessed February 22, 2018.
- 7. Medscape radiology compensation report: 2011 results. Medscape website. https://www.medscape.com/features/slideshow/compensation/2011/radiology. Published 2011. Accessed February 22, 2018.
- 8. . Drive: the surprising truth about what motivates us. New York, NY: Riverhead, 2009.
- 9. . Ionizing radiation in abdominal CT: unindicated multiphase scans are an important source of medically unnecessary exposure. J Am Coll Radiol 2011;8(11):756–761.
- 10. . Paperless protocoling of CT and MRI requests at an outpatient imaging center. J Digit Imaging 2010;23(2):203–210.
- 11. . Impact of patient questionnaires on completeness of clinical information and identification of causes of pain during outpatient abdominopelvic CT interpretation. Abdom Radiol (NY) 2017;42(12):2946–2950.
- 12. . Expanded payer coverage for ultrasound evaluation of deep vein thrombosis with sonographer-obtained clinical history. J Am Coll Radiol 2016;13(1):59–63.
- 13. . A picture is worth a thousand words: needs assessment for multimedia radiology reports in a large tertiary care medical center. Acad Radiol 2013;20(12):1577–1583.
- 14. . Added value of selected images embedded into radiology reports to referring clinicians. J Am Coll Radiol 2010;7(3):205–210.
- 15. . Traditional text-only versus multimedia-enhanced radiology reporting: referring physicians’ perceptions of value. J Am Coll Radiol 2015;12 (5):519–524.
- 16. . Development and enterprise-wide clinical implementation of an enhanced multimedia radiology reporting system. J Am Coll Radiol 2014;11(12 pt A):1178–1181.
- 17. . Practice standards claims survey. Rockville, Md: Physician Insurers Association of America, 1997.
- 18. . Important nonurgent imaging findings: use of a hybrid digital and administrative support tool for facilitating clinician communication. Clin Imaging 2015;39(3):493–496.
- 19. . A multidisciplinary approach to improving appropriate follow-up imaging of ovarian cysts: a quality improvement initiative. J Am Coll Radiol 2016;13(5):535–541.
- 20. . Virtual radiology rounds: adding value in the digital era. Pediatr Radiol 2016;46(12): 1645–1650.
- 21. . Technology-assisted virtual consultation for medical imaging. J Am Coll Radiol 2016;13(8):995–1002.
- 22. . Automated radiology-pathology module correlation using a novel report matching algorithm by organ system. Acad Radiol 2018;25(5):673–680.
- 23. . Automated radiology-operative note communication tool: closing the loop in musculoskeletal imaging. Acad Radiol 2018;25(2): 244–249.
Article History
Received: Feb 23 2018Revision requested: Apr 18 2018
Revision received: May 30 2018
Accepted: June 8 2018
Published online: Oct 10 2018
Published in print: Oct 2018