Workplace culture assessed by radiographers in Finland

Lohikoski, K.; Roos, Mervi; Suominen, Tarja

doi:10.1016/j.radi.2019.05.003

Cited by 13 publications

(9 citation statements)

References 15 publications

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“…Digitization and automation of image production improve acquisition efficiency and work performance [2]. Automatic Exposure Devices (AED) may be considered the first stage of automation, which directly relates to radiographer practice [3]. Consequently, the aims of achieving good image quality and reduced radiation dose and image repetition have been realized [4].…”

Section: Introductionmentioning

confidence: 99%

An extensive survey of radiographers from the Middle East and India on artificial intelligence integration in radiology practice

et al. 2021

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Assessing the current Artificial intelligence (AI) situation is a crucial step towards its implementation into radiology practice. The study aimed to assess radiographer willingness to accept AI in radiology work practice and the impact of AI in work performance. An exploratory cross-sectional online survey conducted for radiographers working within the Middle East and India was conducted from May-August 2020. A previously validated survey used to obtain radiographer's demographics, knowledge, perceptions, organization readiness, and challenges of integrating AI into radiology. The survey was accessible for radiographers and distributed through the societies page. The survey was completed by 549 radiographers distributed as (77.6%, n = 426) from the Middle East while (22.4%, n = 123) from India. A majority (86%, n = 773) agreed that AI currently plays an important role in radiology and (88.0%, n = 483) expected that AI would play a role in radiology practice and image production. The challenges for AI implementation in practice were developing AI skills (42.8%, n = 235) and AI knowledge development (37.0%, n = 203). Participants showed high interest to integrate AI in under and postgraduate curriculum. There is excitement about what AI could offer, but education input is a requirement. Fears are expressed about job security and how radiology may work across all ages and educational backgrounds. Radiographers become aware of AI role and challenges, which can be improved by education and training.

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Section: Introductionmentioning

confidence: 99%

An extensive survey of radiographers from the Middle East and India on artificial intelligence integration in radiology practice

et al. 2021

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“…10,11 However, evidence also suggests that increasing patient workloads and examination speeds may also have had a negative impact on radiographer morale, role satisfaction and "burn out. " [12][13][14][15] The responsibility for this lies not with the technology itself, but with professional leaders and employers failing to consider the impact of advancing automation technologies on professional and workplace cultures and role adaptation. To address this gap, we explore how the…”

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confidence: 99%

Artificial intelligence in diagnostic imaging: impact on the radiography profession

Hardy

Harvey

2019

The British Journal of Radiology

153

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The arrival of artificially intelligent systems into the domain of medical imaging has focused attention and sparked much debate on the role and responsibilities of the radiologist. However, discussion about the impact of such technology on the radiographer role is lacking. This paper discusses the potential impact of artificial intelligence (AI) on the radiography profession by assessing current workflow and cross-mapping potential areas of AI automation such as procedure planning, image acquisition and processing. We also highlight the opportunities that AI brings including enhancing patient-facing care, increased cross-modality education and working, increased technological expertise and expansion of radiographer responsibility into AI-supported image reporting and auditing roles.

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“…Shift working was significantly related to overall job stress in a Finnish radiographer survey, particularly for mid-career radiographers. 25 In our study, many mid/late career diagnostic radiographers found the 12 hour shifts physically demanding.…”

Section: Discussionmentioning

confidence: 62%

“…3 Retention strategies must be based upon a sound understanding of factors influencing the decision to leave or remain. Previous UK research in therapeutic radiography suggests a worrying correlation between radiographer burnout, emotional exhaustion, job dissatisfaction and intention to leave, [15][16][17][18] with international therapeutic [19][20] and diagnostic [21][22][23][24][25][26][27] radiography studies citing pressure at work, large workloads and long shifts impacting on radiographers' intentions to stay. Probst and Griffiths 9 highlighted two primary moderators for radiographer retention: the importance of mental challenge and access to personal development; and the essential role of managers in moderating burnout and improving retention.…”

Section: Introductionmentioning

confidence: 99%

Retention of radiographers: A qualitative exploration of factors influencing decisions to leave or remain within the NHS

et al. 2021

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Workplace culture assessed by radiographers in Finland

Cited by 13 publications

References 15 publications

An extensive survey of radiographers from the Middle East and India on artificial intelligence integration in radiology practice

An extensive survey of radiographers from the Middle East and India on artificial intelligence integration in radiology practice

Artificial intelligence in diagnostic imaging: impact on the radiography profession

Retention of radiographers: A qualitative exploration of factors influencing decisions to leave or remain within the NHS

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