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Commentary: Patient Perspectives on Artificial Intelligence; What have We Learned and How Should We Move Forward?
Artificial intelligence (AI) in healthcare has now begun to make its contributions to real-world patient care with varying degrees of both public and clinical acceptability around it. The heavy investment from governments, industry and academia needed to reach this point has helped to surface differ...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Healthcare
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10092909/ https://www.ncbi.nlm.nih.gov/pubmed/37043172 http://dx.doi.org/10.1007/s12325-023-02511-3 |
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author | Camaradou, Jennifer Catherine Louise Hogg, Henry David Jeffry |
author_facet | Camaradou, Jennifer Catherine Louise Hogg, Henry David Jeffry |
author_sort | Camaradou, Jennifer Catherine Louise |
collection | PubMed |
description | Artificial intelligence (AI) in healthcare has now begun to make its contributions to real-world patient care with varying degrees of both public and clinical acceptability around it. The heavy investment from governments, industry and academia needed to reach this point has helped to surface different perspectives on AI. As clinical AI applications become a reality, however, there is an increasing need to harness and integrate patient perspectives, which address the distinct needs of different populations, healthcare systems and clinical problems more closely. Despite this need, patient perspectives on AI implementation have little presence in academic literature and within implementation science and are not sufficiently considered throughout the MedTech and eHealthtech product development cycle, which brings its own challenges and opportunities. This joint patient expert/clinician commentary aims to briefly summarise views on AI. It reflects upon recommendations on how stakeholders such as clinicians and Health & MedTech small and medium-sized enterprises (SMEs) can make practical usage of these views. The recommendations of the authors centre around how to work better with patients to enable both product centric and patient centric innovation and person-centred care. |
format | Online Article Text |
id | pubmed-10092909 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Healthcare |
record_format | MEDLINE/PubMed |
spelling | pubmed-100929092023-04-14 Commentary: Patient Perspectives on Artificial Intelligence; What have We Learned and How Should We Move Forward? Camaradou, Jennifer Catherine Louise Hogg, Henry David Jeffry Adv Ther Commentary Artificial intelligence (AI) in healthcare has now begun to make its contributions to real-world patient care with varying degrees of both public and clinical acceptability around it. The heavy investment from governments, industry and academia needed to reach this point has helped to surface different perspectives on AI. As clinical AI applications become a reality, however, there is an increasing need to harness and integrate patient perspectives, which address the distinct needs of different populations, healthcare systems and clinical problems more closely. Despite this need, patient perspectives on AI implementation have little presence in academic literature and within implementation science and are not sufficiently considered throughout the MedTech and eHealthtech product development cycle, which brings its own challenges and opportunities. This joint patient expert/clinician commentary aims to briefly summarise views on AI. It reflects upon recommendations on how stakeholders such as clinicians and Health & MedTech small and medium-sized enterprises (SMEs) can make practical usage of these views. The recommendations of the authors centre around how to work better with patients to enable both product centric and patient centric innovation and person-centred care. Springer Healthcare 2023-04-12 2023 /pmc/articles/PMC10092909/ /pubmed/37043172 http://dx.doi.org/10.1007/s12325-023-02511-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Commentary Camaradou, Jennifer Catherine Louise Hogg, Henry David Jeffry Commentary: Patient Perspectives on Artificial Intelligence; What have We Learned and How Should We Move Forward? |
title | Commentary: Patient Perspectives on Artificial Intelligence; What have We Learned and How Should We Move Forward? |
title_full | Commentary: Patient Perspectives on Artificial Intelligence; What have We Learned and How Should We Move Forward? |
title_fullStr | Commentary: Patient Perspectives on Artificial Intelligence; What have We Learned and How Should We Move Forward? |
title_full_unstemmed | Commentary: Patient Perspectives on Artificial Intelligence; What have We Learned and How Should We Move Forward? |
title_short | Commentary: Patient Perspectives on Artificial Intelligence; What have We Learned and How Should We Move Forward? |
title_sort | commentary: patient perspectives on artificial intelligence; what have we learned and how should we move forward? |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10092909/ https://www.ncbi.nlm.nih.gov/pubmed/37043172 http://dx.doi.org/10.1007/s12325-023-02511-3 |
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