Ethical Considerations of Using Machine Learning for Decision Support in Occupational Health: An Example Involving Periodic Workers' Health Assessments.
Purpose Computer algorithms and Machine Learning (ML) will be integrated into clinical decision support within occupational health care. This will change the interaction between health care professionals and their clients, with unknown consequences. The aim of this study was to explore ethical consi...
| Publicado en: | Journal of Occupational Rehabilitation Vol. 30; no. 3; pp. 343 - 354 |
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| Autores principales: | , , , , , , , , |
| Formato: | case study review tables/charts Journal Article |
| Publicado: |
Springer Nature
Sep2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=144951466&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 144951466 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10530487 JOR jtl: Journal of Occupational Rehabilitation issn: 10530487 maglogo: N pubinfo: dt: Sep2020 vid: 30 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 144951466 143904869 144951466 144951466 10.1007/s10926-020-09895-x 144951466 ppf: 343 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Ethical Considerations of Using Machine Learning for Decision Support in Occupational Health: An Example Involving Periodic Workers' Health Assessments. aug: au: Six Dijkstra, Marianne W. M. C. Siebrand, Egbert Dorrestijn, Steven Salomons, Etto L. Reneman, Michiel F. Oosterveld, Frits G. J. Soer, Remko Gross, Douglas P. Bieleman, Hendrik J. affil: School of Health, Saxion University of Applied Sciences/AGZ, M.H. Tromplaan 28, 7500 KB, Enschede, The Netherlands sug: subj: Machine Learning Ethical Issues Decision Support Systems, Clinical Ethical Issues Occupational Health Evaluation Occupational Therapy Practice, Evidence-Based Philosophy, Medical Male Middle Age Occupational Health Services Professional Autonomy Beneficence Data Management Respect Consent Occupational Justice Middle Aged: 45-64 years Male ab: Purpose Computer algorithms and Machine Learning (ML) will be integrated into clinical decision support within occupational health care. This will change the interaction between health care professionals and their clients, with unknown consequences. The aim of this study was to explore ethical considerations and potential consequences of using ML based decision support tools (DSTs) in the context of occupational health. Methods We conducted an ethical deliberation. This was supported by a narrative literature review of publications about ML and DSTs in occupational health and by an assessment of the potential impact of ML-DSTs according to frameworks from medical ethics and philosophy of technology. We introduce a hypothetical clinical scenario from a workers' health assessment to reflect on biomedical ethical principles: respect for autonomy, beneficence, non-maleficence and justice. Results Respect for autonomy is affected by uncertainty about what future consequences the worker is consenting to as a result of the fluctuating nature of ML-DSTs and validity evidence used to inform the worker. A beneficent advisory process is influenced because the three elements of evidence based practice are affected through use of a ML-DST. The principle of non-maleficence is challenged by the balance between group-level benefits and individual harm, the vulnerability of the worker in the occupational context, and the possibility of function creep. Justice might be empowered when the ML-DST is valid, but profiling and discrimination are potential risks. Conclusions Implications of ethical considerations have been described for the socially responsible design of ML-DSTs. Three recommendations were provided to minimize undesirable adverse effects of the development and implementation of ML-DSTs. pubtype: Academic Journal doctype: case study review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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