Identifying and characterizing system issues of health information technology in medical imaging as a basis for recommendations

Md Shafiqur Rahman Jabin; Farah Magrabi; Peter Hibbert; Tim Schultz; Taryn Bessen; William Runciman

doi:10.1109/IST48021.2019.9010426

Identifying and characterizing system issues of health information technology in medical imaging as a basis for recommendations

Md Shafiqur Rahman Jabin, Farah Magrabi, Peter Hibbert, Tim Schultz, Taryn Bessen, William Runciman

Australian Institute of Health Innovation

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

Abstract

Medical imaging health information technology systems, such as Radiology Information Systems and Picture Archiving and Communication Systems were introduced to improve efficiency. Although they have the potential to improve healthcare delivery and patient outcomes, when poorly designed, implemented or managed, they can pose substantial risks to patient safety and organizational efficiency, which may offset the intended benefits. This study used the method of thematic analysis, which provided information about system issues related to health information technology. System issues, including system error, system malfunction or failure, system design, system crash, system functionality, voice recognition technology, launching of new systems, and system integration accounted for 21% of the 436 HIT incidents. Even when these issues do not harm patients, they often cause delays, inconvenience, and inefficiencies. Obtaining the right system, proper and careful system implementation, and immediate back-up systems can improve the safety and quality of care in medical imaging.

Original language	English
Title of host publication	2019 IEEE International Conference on Imaging Systems and Techniques (IST) Proceedings
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781728138688
ISBN (Print)	9781728138695
DOIs	https://doi.org/10.1109/IST48021.2019.9010426
Publication status	Published - 2019
Event	2019 IEEE International Conference on Imaging Systems and Techniques, IST 2019 - Abu Dhabi, United Arab Emirates Duration: 8 Dec 2019 → 10 Dec 2019

Conference

Conference	2019 IEEE International Conference on Imaging Systems and Techniques, IST 2019
Country	United Arab Emirates
City	Abu Dhabi
Period	8/12/19 → 10/12/19

Keywords

medical imaging
health information technology
system issues
system error
safety and quality

Access to Document

10.1109/IST48021.2019.9010426

Link to publication in Scopus

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Jabin, M. S. R., Magrabi, F., Hibbert, P., Schultz, T., Bessen, T., & Runciman, W. (2019). Identifying and characterizing system issues of health information technology in medical imaging as a basis for recommendations. In 2019 IEEE International Conference on Imaging Systems and Techniques (IST) Proceedings (pp. 1-6). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IST48021.2019.9010426

Jabin, Md Shafiqur Rahman ; Magrabi, Farah ; Hibbert, Peter ; Schultz, Tim ; Bessen, Taryn ; Runciman, William. / Identifying and characterizing system issues of health information technology in medical imaging as a basis for recommendations. 2019 IEEE International Conference on Imaging Systems and Techniques (IST) Proceedings. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2019. pp. 1-6

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abstract = "Medical imaging health information technology systems, such as Radiology Information Systems and Picture Archiving and Communication Systems were introduced to improve efficiency. Although they have the potential to improve healthcare delivery and patient outcomes, when poorly designed, implemented or managed, they can pose substantial risks to patient safety and organizational efficiency, which may offset the intended benefits. This study used the method of thematic analysis, which provided information about system issues related to health information technology. System issues, including system error, system malfunction or failure, system design, system crash, system functionality, voice recognition technology, launching of new systems, and system integration accounted for 21% of the 436 HIT incidents. Even when these issues do not harm patients, they often cause delays, inconvenience, and inefficiencies. Obtaining the right system, proper and careful system implementation, and immediate back-up systems can improve the safety and quality of care in medical imaging.",

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Jabin, MSR, Magrabi, F, Hibbert, P, Schultz, T, Bessen, T & Runciman, W 2019, Identifying and characterizing system issues of health information technology in medical imaging as a basis for recommendations. in 2019 IEEE International Conference on Imaging Systems and Techniques (IST) Proceedings. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1-6, 2019 IEEE International Conference on Imaging Systems and Techniques, IST 2019, Abu Dhabi, United Arab Emirates, 8/12/19. https://doi.org/10.1109/IST48021.2019.9010426

Identifying and characterizing system issues of health information technology in medical imaging as a basis for recommendations. / Jabin, Md Shafiqur Rahman; Magrabi, Farah; Hibbert, Peter; Schultz, Tim; Bessen, Taryn; Runciman, William.

2019 IEEE International Conference on Imaging Systems and Techniques (IST) Proceedings. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2019. p. 1-6.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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Jabin MSR, Magrabi F, Hibbert P, Schultz T, Bessen T, Runciman W. Identifying and characterizing system issues of health information technology in medical imaging as a basis for recommendations. In 2019 IEEE International Conference on Imaging Systems and Techniques (IST) Proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2019. p. 1-6 https://doi.org/10.1109/IST48021.2019.9010426