Classifying patient safety incidents involving digital health
Centre for health informatics
Research stream
Our classification of human factors and technical problems that contribute to IT incidents.
Project members
Professor Farah Magrabi
Dr Ying Wang
Dr Mei Sing Ong
Project contact
Professor Farah Magrabi
E:farah.magrabi@mq.edu.au
Project main description
The systematic analysis of critical incidents is well-established in medical practice. Incidents can trigger root-cause analyses in health services, or provide early warnings of unexpected drug reactions or infectious outbreaks. Our research has extended these methods to incidents associated with digital health (i.e. patient harm due to an IT problem or difficulty in using software).
The goals of this project are to:
- detect IT incidents
- develop a robust classification for IT incidents
- use the classification to track the evolving causes of IT-related harm in Australia
- promulgate the classification internationally.
We have developed a classification for problems associated with IT systems in healthcare that takes a bottom-up approach and was developed by examining “natural categories” of problems described in incidents from a range of health care settings in Australia, the USA and England.
The classification was initially based on incidents reported to a state-wide system in Australia, and then expanded with new categories for software problems using incidents from the US Food and Drug Administration over a 30-month period. It was subsequently validated with 850 incidents reported in the English National Health Service over a 6-year period, and a further 90 incidents reported by Australian GPs over a 19-month period.
The classification was further validated by a 2017 systematic review of problems with health IT which found that no new categories were required to code the IT problems, information errors, and contributing factors identified in the 34 studies included in this review.
Beyond the published literature, this classification was endorsed by the American Nursing Informatics Association in their 2015 position paper on IT safety. It has been used by multiple government agencies and patient safety organisations including the Australian Digital Health Agency; the US Joint Commission; and the Emergency Care Research Institute (ECRI).
We welcome enquiries about our classification and are happy to assist individuals and organisations who wish to use the schema to analyse digital health incidents. A guide to the classification is also available.
Further information
Organisations using the classification. In 2018, the classification was adopted by ISO, the International Organization for Standardization as the basis for a new technical specification to improve reporting about the safety of health software. In 2019, it was adapted for the Australian Safety & Quality Commission's guidance for hospitals nationally. It has also been implemented into the provincial incident monitoring system in British Columbia, Canada - BC Patient Safety & Learning System (BC PSLS).
References
- Kim, M.O., E. Coiera, and F. Magrabi, Problems with health information technology and their effects on care delivery and patient outcomes: a systematic review. J Am Med Inform Assoc, 2017. 24(2): p. 246-250. [doi: 10.1093/jamia/ocw154]
- Magrabi F, Liaw ST, Arachi D, Runciman W, Coiera, E, Kidd, MR. Identifying patient safety problems associated with information technology in general practice: an analysis of incident reports. BMJ Quality and Safety, November 2015
- Magrabi F, Baker M, Sinha I, Ong MS, Harrison S, Kidd MR, et al. Clinical safety of England's national programme for IT: A retrospective analysis of all reported safety events 2005 to 2011. Int J Med Inform. 2015;84(3):198-206.
- Magrabi F, Ong MS, Runciman W, Coiera E. Using FDA reports to inform a classification for health information technology safety problems. J Am Med Inform Assoc. 2012;19(1):45-53.
- Magrabi F, Ong MS, Runciman W, Coiera E. Patient safety problems associated with heathcare information technology: an analysis of adverse events reported to the US Food and Drug Administration. AMIA Annu Symp Proc. 2011;2011:853-7.
- Magrabi F, Ong MS, Runciman W, Coiera E. An analysis of computer-related patient safety incidents to inform the development of a classification. J Am Med Inform Assoc. 2010;17(6):663-70.
Project sponsors
- NHMRC Project Grant APP1022946, 630583
Collaborative partners
- Professor Bill Runciman, University of South Australia and Australian Patient Safety Foundation
- Professor Michael Kidd, Faculty of Medicine, Nursing and Health Sciences, Flinders University
- Professor Siaw-Teng Liaw, School of Public Health and Community Medicine, UNSW Medicine
- Professor Marie-Catherine Beuscart-Zéphir, Université de Lille Nord de France, France
- Professor Dean Sittig, University of Texas – Memorial Hermann Center for Healthcare Quality & Safety, Houston, Texas
- Professor Christian Nohr, Danish Centre for Health Informatics, Department of Development and Planning, Aalborg University, Denmark
Related projects
- Automated identification of reports about patient safety incidents
- Automated detection of health information technology failures
Project status
Completed
Centres related to this project
Content owner: Australian Institute of Health Innovation Last updated: 22 Dec 2021 2:30pm