Abstract
Automations are meant to help reduce human workload and/or to reduce the need of humans to operate production processes and giving services. One of the most prominent users of automation is the people that are working in the healthcare sector. There are a lot of benefits from healthcare automation applications. One of them is by reducing error rates as illustrated by Felder (2003), virus infected patients 29 times (approx.) for every million transfusions, healthcare automation can mitigate this. Alongside the exponential growth of automation, some adjustments are required, thus, the role of human factors is very important to adjust changes and get the most value of the human-automation system. This paper demonstrates a systematic literature review of scientific papers on human factors in healthcare automation usage. To further understand this relationship several analyses were done by using the keywords “healthcare”, “automation”, and “human factors” and extracting those keywords from articles to see trends. The analyses were conducted using VOSViewer, Harzing’s Publish or Perish, AuthorMapper, and MAXQDA to obtain emerging keywords (co-occurrence), co-author analysis, and co-citation analysis. Not only that, but several articles were also extracted from different databases named; Google Scholar, SpringerLink, Scopus, and WebofScience to understand the relationship between human factors and healthcare automation in detail. One takeaway from this review is that the trend of using automation to streamline healthcare institution processes is increasing and it has been proven that human factors theories are needed to incorporate the new technology properly.
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Kurniawan, J., Duffy, V.G. (2021). Systematic Review of the Importance of Human Factors in Incorporating Healthcare Automation. In: Duffy, V.G. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. AI, Product and Service. HCII 2021. Lecture Notes in Computer Science(), vol 12778. Springer, Cham. https://doi.org/10.1007/978-3-030-77820-0_8
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