Artificial Intelligence in Healthcare system: A narrative review
DOI:
https://doi.org/10.52783/jns.v14.1927Keywords:
artificial intelligence, patient care, healthcare technology, digital transformation, COVID-19Abstract
Recently, Artificial Intelligence has been used widely in healthcare field. The concept of AI has created a revolution in healthcare, and such an uprising could be another step forward to meet future healthcare demands. AI forcing paradigm shift to digital transformation of the healthcare system, this shift is driven by increasing accessibility of healthcare data and rapid progress of analytic techniques. The purpose of this study is to discuss the impact of AI applications in healthcare system based on narrative literature review.
The impact of AI in healthcare system has been categorized into the following aspects: (i) medical imaging and diagnostics, (ii) virtual patient care, (iii) health services management, (iv) predictive medicine, (v) clinical decision-making, and (vi) patient data and diagnostics.
The long term impact of AI on healthcare system is demonstrated in reducing the administrative workload of healthcare professionals (HCPs) by speeding-up decision- making process, reducing medication errors, early detection and prediction of diseases and their prognosis, enhancing patient engagement and compliance with the treatment plan, in addition to discover new drugs and vaccines.
The use of AI applications is crucial for patient safety and accountability. Effective use is a prerequisite to concisely address ethical, regulatory, and trust issues while advancing the acceptance and implementation of AI. Although AI has a numerous application on healthcare system, it has some reservations, such as data privacy, system compatibility, and user acceptability. Further research is needed to focus more on discussing these issues.
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