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. 2022 Jun;18(6):3076-3078.
doi: 10.1016/j.sapharm.2021.07.018. Epub 2021 Jul 21.

Incessant threat of COVID-19 variants: Highlighting need for a mix of FDA-approved artificial intelligence tools and community pharmacy services

Affiliations

Incessant threat of COVID-19 variants: Highlighting need for a mix of FDA-approved artificial intelligence tools and community pharmacy services

Muhammad Faisal Nadeem et al. Res Social Adm Pharm. 2022 Jun.

Abstract

Seamless integration of artificial intelligence (AI) technology, especially FDA-approved AI tools, in community pharmacies can build increasingly effective and easy care pathways, thereby minimizing burden on healthcare system, and ensuring compliance to preventive measure through limiting hospital visits. In this regard, the WHO needs to enlist and provide guidance on most promising AI tools that can be implemented in community pharmacy settings.

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Conflict of interest statement

We declare no competing interests.

References

    1. International Pharmaceutical Federation . International Pharmaceutical Federation; The Hague, Netherlands: 2021. FIP Digital Health in Pharmacy Education.
    1. World Health Organization Ethics and governance of artificial intelligence for health: WHO guidance. World Health Organization. 2021
    1. Lyell D., Coiera E., Chen J., Shah P., Magrabi F. How machine learning is embedded to support clinician decision making: an analysis of FDA-approved medical devices. BMJ Health Care Inform. 2021;28(1) - PMC - PubMed
    1. Atif M., Malik I. Why is Pakistan vulnerable to COVID-19 associated morbidity and mortality? A scoping review. Int J Health Plann Manag. 2020;35(5):1041–1054. doi: 10.1002/hpm.3016. 32700410. - DOI - PMC - PubMed
    1. Weng S.F., Reps J., Kai J., Garibaldi J.M., Qureshi N. Can machine-learning improve cardiovascular risk prediction using routine clinical data? PloS One. 2017;12(4) e0174944. - PMC - PubMed

Supplementary concepts