Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Aug;28(1):41-46.
doi: 10.1055/s-0039-1677901. Epub 2019 Apr 25.

Artificial Intelligence in Primary Health Care: Perceptions, Issues, and Challenges

Affiliations

Artificial Intelligence in Primary Health Care: Perceptions, Issues, and Challenges

Harshana Liyanage et al. Yearb Med Inform. 2019 Aug.

Abstract

Background: Artificial intelligence (AI) is heralded as an approach that might augment or substitute for the limited processing power of the human brain of primary health care (PHC) professionals. However, there are concerns that AI-mediated decisions may be hard to validate and challenge, or may result in rogue decisions.

Objective: To form consensus about perceptions, issues, and challenges of AI in primary care.

Method: A three-round Delphi study was conducted. Round 1 explored experts' viewpoints on AI in PHC (n=20). Round 2 rated the appropriateness of statements arising from round one (n=12). The third round was an online panel discussion of findings (n=8) with the members of both the International Medical Informatics Association and the European Federation of Medical Informatics Primary Health Care Informatics Working Groups.

Results: PHC and informatics experts reported AI has potential to improve managerial and clinical decisions and processes, and this would be facilitated by common data standards. The respondents did not agree that AI applications should learn and adapt to clinician preferences or behaviour and they did not agree on the extent of AI potential for harm to patients. It was more difficult to assess the impact of AI-based applications on continuity and coordination of care.

Conclusion: While the use of AI in medicine should enhance healthcare delivery, we need to ensure meticulous design and evaluation of AI applications. The primary care informatics community needs to be proactive and to guide the ethical and rigorous development of AI applications so that they will be safe and effective.

PubMed Disclaimer

Conflict of interest statement

Disclosure The authors report no conflicts of interest in this work.

Figures

Fig. 1
Fig. 1
Distribution of the health informatics experts who participated to the Round 1.

References

    1. Beard J R, Bloom D E.Towards a comprehensive public health response to population ageing Lancet 2015385(9968)658–61. - PMC - PubMed
    1. Starfield B, Shi L, Macinko J. Contribution of primary care to health systems and health. The Milbank Q. 2005;83(03):457–502. - PMC - PubMed
    1. Miotto R, Wang F, Wang S, Jiang X, Dudley J T.Deep learning for healthcare: review, opportunities and challenges Brief Bioinform 2018. Nov 2719061236–46. - PMC - PubMed
    1. Xiao C, Choi E, Sun J. Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review. J Am Med Inform Assoc. 2018;25(10):1419–28. - PMC - PubMed
    1. Powles J, Hodson H. Google DeepMind and healthcare in an age of algorithms. Health Technol (Berl) 2017;7(04):351–67. - PMC - PubMed

Publication types

MeSH terms