Toggle Main Menu Toggle Search

Open Access padlockePrints

Commentary: Patient Perspectives on Artificial Intelligence; What have We Learned and How Should We Move Forward?

Lookup NU author(s): Dr Jeffry Hogg

Downloads


Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).


Abstract

© 2023, The Author(s). 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.


Publication metadata

Author(s): Camaradou JCL, Hogg HDJ

Publication type: Note

Publication status: Published

Journal: Advances in Therapy

Year: 2023

Volume: 40

Pages: 2563-2572

Print publication date: 01/06/2023

Online publication date: 12/04/2023

Acceptance date: 28/03/2023

ISSN (print): 0741-238X

ISSN (electronic): 1865-8652

Publisher: Adis

URL: https://doi.org/10.1007/s12325-023-02511-3

DOI: 10.1007/s12325-023-02511-3

PubMed id: 37043172


Share