Artificial Intelligence in Health Policy – A Global Perspective

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CSTITVFE9X

Artificial Intelligence in Health Policy – A Global Perspective

Immanuel Azaad Moonesar
Immanuel Azaad Moonesar
Ruchi Dass
Ruchi Dass
DOI

Abstract

Introduction: Artificial Intelligence has become the new frontier for digital transformation. For healthcare, AI brings a paradigm shift, powered by increasing healthcare data availability and the rapid progress of analytics techniques globally. Objective: Several hypotheses are set forward to design a policy framework for AI technologies was discussed. This review also suggests a framework that we reflect is a better case involving “responsible AI” and “permission less innovation.” Methodology: In this perspective review, AI insights into countries such as the USA, UAE, UK, and the European Union using secondary research. Results: Policy recommendations would impact multiple stakeholders in the value chain. The efficient and responsible use of AI tools would mean culture, data management, technology shifts in the industry, and required up-grading and training professionals for better coordination

Artificial Intelligence in Health Policy – A Global Perspective

Introduction: Artificial Intelligence has become the new frontier for digital transformation. For healthcare, AI brings a paradigm shift, powered by increasing healthcare data availability and the rapid progress of analytics techniques globally. Objective: Several hypotheses are set forward to design a policy framework for AI technologies was discussed. This review also suggests a framework that we reflect is a better case involving “responsible AI” and “permission less innovation.” Methodology: In this perspective review, AI insights into countries such as the USA, UAE, UK, and the European Union using secondary research. Results: Policy recommendations would impact multiple stakeholders in the value chain. The efficient and responsible use of AI tools would mean culture, data management, technology shifts in the industry, and required up-grading and training professionals for better coordination

Immanuel Azaad Moonesar
Immanuel Azaad Moonesar
Ruchi Dass
Ruchi Dass

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immanuel_azaad_moonesar. 2021. “. Global Journal of Computer Science and Technology – H: Information & Technology GJCST-H Volume 21 (GJCST Volume 21 Issue H1): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-H Classification: I.2
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Artificial Intelligence in Health Policy – A Global Perspective

Immanuel Azaad Moonesar
Immanuel Azaad Moonesar
Ruchi Dass
Ruchi Dass

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