Identifying clusters and themes from incidents related to health information technology in medical imaging as a basis for improvements in practiceShow others and affiliations
2019 (English)In: 2019 IEEE International Conference on Imaging Systems and Techniques (IST), IEEE, 2019, p. 1-6Conference paper, Published paper (Refereed)
Abstract [en]
Beyond identifying and counting the things that go wrong, understanding how and why they go wrong requires qualitative research, especially for low frequency events. The purpose of this study was to identify and characterize patient safety and quality issues related to health information technology (HIT) in medical imaging by collecting and analyzing incident reports through the lens of thematic analysis. In this article, we analyze 5 clusters: staff related issues (16%), issues withdiagnosis (15%), HIT incidents that involved “paperrecord” (12%), information and communication related(4%), and “action taken” related issues (4%). Human factors involved people failing to scan forms into the computer system (consents, requests, bookings,questionnaires, assessments, treatments andprescriptions), and another 4% involved failure to enter verbally imparted information into the system (aboutinfectious patients, cancelled cases, and the status ofreports). All of these problems had their genesis in human errors and violations. Human factors were found to cause more deleterious effects than technical factors. Of three instances of deaths caused by diagnostic issues, two were triggered by human factors, missed diagnosis. However, “staff or organizational outcome” was evenly distributed for both human and technical factors. It was therefore important to identify and characterize these incidents related to health information technology in medical imaging through the lens of thematic analysis, to providea basis for improvements in preventing issues and improving clinical practice.
Place, publisher, year, edition, pages
IEEE, 2019. p. 1-6
Series
Imaging Systems and Techniques (IST), IEEE International Workshop on, ISSN 1558-2809 ; 2019
Keywords [en]
Medical imaging, Health information technology, Incident reports, Thematic analysis, Safety and quality
National Category
Radiology, Nuclear Medicine and Medical Imaging
Research subject
Computer and Information Sciences Computer Science, Information Systems; Health and Caring Sciences, Health Informatics
Identifiers
URN: urn:nbn:se:lnu:diva-92511DOI: 10.1109/IST48021.2019.9010280ISBN: 9781728138688 (electronic)ISBN: 9781728138695 (print)OAI: oai:DiVA.org:lnu-92511DiVA, id: diva2:1411424
Conference
2019 IEEE International Conference on Imaging Systems and Techniques (IST), Abu Dhabi, United Arab Emirates, December 9-10, 2019
2020-03-032020-03-032022-02-24Bibliographically approved