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Urgent Need for Developing a Framework for the Governance of AI in Healthcare.
Baig, Mansoor Ali; Almuhaizea, Mohamad A; Alshehri, Jumanah; Bazarbashi, Mohammad Shouki; Al-Shagathrh, Fahad.
Afiliação
  • Baig MA; King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia.
  • Almuhaizea MA; Department of Biostatistics Epidemiology & Scientific Computing, KFSHRC, KSA.
  • Alshehri J; King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia.
  • Bazarbashi MS; Xellipsis Company, Riyadh, Saudi Arabia.
  • Al-Shagathrh F; King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia.
Stud Health Technol Inform ; 272: 253-256, 2020 Jun 26.
Article em En | MEDLINE | ID: mdl-32604649
Lately, the application or integration of Artificial Intelligence in various areas of the Healthcare domain has been a prime attraction; this includes diagnostics, medicine/drugs, medical devices, interventions/procedures, imaging, therapies as well as treatment regimes, and these areas are in direct relation with the patient care, which is the core subject of the improvements envisioned through the implementation of AI. Although carrying this practice with a focused objective of improvisation in providing quality care, the overall concept of such implementations misses the governance path which can comply with any available regulatory environment, which unfortunately at this stage does not exist. As these implementations would have a direct impact on patients care, there is an urgent need to institute a robust governance and compliance framework in order to ensure the efficacy, safety, privacy, and ethical considerations. The onus of pioneering this initiative of building a governance framework for the implementation of healthcare artificial intelligence primarily rests with the Food and Drug Authority of the respective country, it is also important for this authority to further organizing the governance framework in agreement or collaboration with other international authorities.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Atenção à Saúde Aspecto: Determinantes_sociais_saude / Ethics Limite: Humans Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Arábia Saudita País de publicação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Atenção à Saúde Aspecto: Determinantes_sociais_saude / Ethics Limite: Humans Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Arábia Saudita País de publicação: Holanda