| 1. |
- Gietzen, Luke J., et al.
(författare)
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Ethics and New Health Technologies : An Innovative Descriptive Analysis of the State of the Literature
- 2022
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Ingår i: Creative Nursing. - New York : Springer Publishing Company. - 1078-4535 .- 1946-1895. ; 28:4, s. 221-227
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Tidskriftsartikel (refereegranskat)abstract
- The exponential advancement of health technologies has led to an increasing need for awareness and critical thinking about the potential unintended consequences and ethical dilemmas that may arise from using new technologies. Unfortunately, many ethical issues arise post-implementation. Few researchers preemptively consider the ethical implications of health technologies. The current study located more than 24 million articles in PubMed that discussed common health technologies. Of these, 0.07% (n = 17,816) articles deeply considered the technology’s potential ethical implica-tions. Critical thinking and ethics are the mainstays of nursing practice. Thus, critically thinking about the potential ethical implications of relevant technologies should be at the forefront of research; we contend that this is not common practice. We hope to shed light on this issue to remind researchers to think like nurses when researching new health technologies. © 2022 Creative Health Care Management.
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| 2. |
- Petersson, Lena, 1968-, et al.
(författare)
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Implementering av artificiell intelligens (AI) : Ett projekt om hur AI förändrar information och kunskapspraktiker i hälso- och sjukvården
- 2023
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Ingår i: Program och abstrakt. - Lund : Lunds universitet. ; , s. 53-53
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Konferensbidrag (refereegranskat)abstract
- Vi kommer att presentera ett nytt forskningsprojekt vid Högskolan i Halmstad med finansiering från Vetenskapsrådet, som förväntas bidra med kunskap om hur arbetets gränser i hälso- och sjukvården förändras vid implementering av artificiell intelligens (AI). Hälso- och sjukvården i Sverige brottas idag med utmaningar kring att klara av att fördela resurser där de gör mest nytta, säkerställa kvalitet i den vård som ges och att ställa om till en mer digitaliserad vård som sker i mer samproduktion mellan vårdpersonal och patienter. Ett teknikområde som förväntas kunna bidra till att lösa dessa utmaningar är AI, men forskning har visat att det finns många hinder för att lyckas med att införa och använda AI-applikationer inom hälso- och sjukvården. Hälso- och sjukvårdspersonal har en viktig roll att spela i förändringsarbete inom vården och AI-applikationer kan komma att konkurrera med det monopol på kunskap i förhållande till hälsa och behandling av sjukdomar som vårdpersonalen erhållit genom lång akademisk utbildning, träning och praktisk erfarenhet. Det övergripande syftet med forskningsprojektet ImpAI är att generera ny kunskap om implementering och användning av AI-applikationer i rutinsjukvård och hur professionella roller kan fungera som barriärer under implementeringsprocessen. Det teoretiska ramverket består av professionsteori med fokus på tillit och arbetets gränser samt implementeringsteori. Projektet bygger på olika case i form av AI-applikationer som implementeras under 2023–2024 i Region Halland, Sverige och mixad metod används vid processutvärderingen av dessa case. Resultatet kommer både att främja förståelsen för hur processer kan etableras vid införande av AI applikationer i hälso- och sjukvården och bidra med information om hur sådana processer kan bygga på hälso- och sjukvårdspersonalens kompetens och roller.
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| 3. |
- Steerling, Emilie, Doktorand, 1981-, et al.
(författare)
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Examining how Ethics in Relation to Health Technology is Described in the Research Literature : Scoping Review
- 2022
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Ingår i: Interactive Journal of Medical Research. - : JMIR. - 1929-073X. ; 11:2, s. 1-10
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Forskningsöversikt (refereegranskat)abstract
- Background:Given the increased use of technology in health care, both in extent and application, the importance of understanding the ethical implications of new health technologies increases. Profound insight into the possible ethical implications of new health technologies enhances the research and development of such technologies and the likelihood of eventual successful implementation in clinical practice.Objective:This study aimed to gain an understanding of how and if researchers focused on health technologies describe the actual or possible ethical aspects of their research findings.Methods:An established framework for scoping reviews was used to guide the methodology. Studies published in PubMed over the last 10 years were included if they study or refer to ethics in relation to health technology as defined by established frameworks. In total, 14,532 articles were screened, 692 were retained for full-text evaluation, and 227 were included for data extraction.Results:In total, 250 (80.9%, N=309) studies were conducted in North America and Europe; literature review studies were dominant. Most studies (52.9%, 120/227) had no direct reference to any of the 4 basic ethical principles: beneficence, nonmaleficence, autonomy, and justice. In cases where studies referenced ethical theory, consequentialism dominated.Conclusions:When research about technology and ethics is published, the predominant focus is on its intent rather than its actual effect on patients. This lack of insight is problematic considering the vast advancement of technology in which ethics cannot keep up with understanding and offer insights on addressing ethical issues. This finding has implications for practice, research, and education.
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| 4. |
- Steerling, Emilie, Doktorand, 1981-, et al.
(författare)
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Implementing AI in healthcare—the relevance of trust : a scoping review
- 2023
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Ingår i: Frontiers In Health Services. - Lausanne : Frontiers Media S.A.. - 2813-0146. ; 3
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Forskningsöversikt (refereegranskat)abstract
- Background: The process of translation of AI and its potential benefits into practice in healthcare services has been slow in spite of its rapid development. Trust in AI in relation to implementation processes is an important aspect. Without a clear understanding, the development of effective implementation strategies will not be possible, nor will AI advance despite the significant investments and possibilities.Objective: This study aimed to explore the scientific literature regarding how trust in AI in relation to implementation in healthcare is conceptualized and what influences trust in AI in relation to implementation in healthcare.Methods: This scoping review included five scientific databases. These were searched to identify publications related to the study aims. Articles were included if they were published in English, after 2012, and peer-reviewed. Two independent reviewers conducted an abstract and full-text review, as well as carrying out a thematic analysis with an inductive approach to address the study aims. The review was reported in accordance with the PRISMA-ScR guidelines.Results: A total of eight studies were included in the final review. We found that trust was conceptualized in different ways. Most empirical studies had an individual perspective where trust was directed toward the technology's capability. Two studies focused on trust as relational between people in the context of the AI application rather than as having trust in the technology itself. Trust was also understood by its determinants and as having a mediating role, positioned between characteristics and AI use. The thematic analysis yielded three themes: individual characteristics, AI characteristics and contextual characteristics, which influence trust in AI in relation to implementation in healthcare.Conclusions: Findings showed that the conceptualization of trust in AI differed between the studies, as well as which determinants they accounted for as influencing trust. Few studies looked beyond individual characteristics and AI characteristics. Future empirical research addressing trust in AI in relation to implementation in healthcare should have a more holistic view of the concept to be able to manage the many challenges, uncertainties, and perceived risks.
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