Artificial Intelligent Tools: Evidence-Mapping on the Perceived Positive Effects on Patient-Care

Abstract

Abstract The global healthcare system is fraught with serious challenges including scarcity of critical healthcare professionals, changes in disease patterns, pandemics, access and equity issues among others. Considering that there is no quick fix to the myriad of healthcare challenges, World Health Organisation proposed a full integration of artificial intelligent (AI) tools into patient-care to stimulate efficiency and guarantee quality in patient-management. Therefore, this review maps evidence on the perceived positive effects of AI tools on patient-care. The review considered time expand between January 1, 2010 and October 31, 2023. Consistent with the protocol by Tricco et al., a comprehensive literature search was executed fromNature, PubMed, Scopus, ScienceDirect, Dimensions, Ebsco Host, ProQuest, JStore, Semantic Scholar, Taylor & Francis, Emeralds, WHO, and Google Scholar. Upholding the inclusion and exclusion standards, 14 peer reviewed articles were included in this review. We report the use of that AI tools could significantly improve accuracy of clinical diagnosis and guarantee better health-outcomes of patients. AI tools also have the ability to mitigate, if not eliminate, most of the factors that currently predict poor patient outcomes. Furthermore, AI tools are far more efficient in generating robust and accurate data in real-time, and could help ease and accelerate the workflow. If properly integrated into the healthcare system, AI could help accelerate the attainment of Sustainable Development Goals 3.4, 3.8, and 3.b. We propose that AI developers collaborate with public health practitioners and healthcare managers to develop AI applications that appreciate socio-cultural dimensions in patient-care.

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