Precision Healthcare: Objectives, Challenges, and Solutions

Abstract

Precision Medicine (PM) is an expanding discipline that necessitates the use of novel technologies to provide uniformity in data gathering from more than 1 million individuals and manage vast quantities of patient data. Nevertheless, ethical, social, and legal considerations, such as privacy, informed consent, and cost, present substantial obstacles. The idea requires significant government funding, amounting to millions of dollars, and must get approval from Congress over many years. Physicians and healthcare professionals must thoroughly comprehend molecular genetics and biochemistry to incorporate this technology into conventional healthcare procedures effectively. A precision health system necessitates a strategy that encompasses healthcare providers, payers, pharmaceutical firms, Information Technology (IT) businesses, employers, governments, and social groups in an interconnected manner. The system employs sensing technologies, computations, and communication to guarantee health data's security, privacy, and reliability. This chapter examines the goals, difficulties, implementations, and remedies of precision healthcare using Artificial Intelligence (AI) and Machine Learning (ML) methodologies.

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