The application of artificial intelligence in health policy: a scoping review

Abstract

Background Policymakers require precise and in-time information to make informed decisions in complex environments such as health systems. Artificial intelligence (AI) is a novel approach that makes collecting and analyzing data in complex systems more accessible. This study highlights recent research on AI’s application and capabilities in health policymaking. Methods We searched PubMed, Scopus, and the Web of Science databases to find relevant studies from 2000 to 2023, using the keywords “artificial intelligence” and “policymaking.” We used Walt and Gilson’s policy triangle framework for charting the data. Results The results revealed that using AI in health policy paved the way for novel analyses and innovative solutions for intelligent decision-making and data collection, potentially enhancing policymaking capacities, particularly in the evaluation phase. It can also be employed to create innovative agendas with fewer political constraints and greater rationality, resulting in evidence-based policies. By creating new platforms and toolkits, AI also offers the chance to make judgments based on solid facts. The majority of the proposed AI solutions for health policy aim to improve decision-making rather than replace experts. Conclusion Numerous approaches exist for AI to influence the health policymaking process. Health systems can benefit from AI’s potential to foster the meaningful use of evidence-based policymaking.

Assessment of Saudi Public Perceptions and Opinions towards Artificial Intelligence in Health Care

“…Additionally, research indicates that artificial intelligence (AI) may enhance the capacity of public health to advance everyone’s health in every community [ 16 , 17 ]. Public health organizations must carefully consider their AI implementation techniques in order to properly fulfill this promise and apply AI to public health tasks [ 18 , 19 , 20 ].…”

Generative artificial intelligence can have a role in combating vaccine hesitancy

“…The deployment of LLMs in health communication, particularly its ability to be detect public concerns early and inform communication, is an important opportunity 15. AI’s precision and capacity to replicate the desired tone positions it as a pivotal player in public health messaging; it can deliver clear, concise, and contextually relevant information.…”

“…The deployment of LLMs in health communication, particularly its ability to be detect public concerns early and inform communication, is an important opportunity. 15 AI’s precision and capacity to replicate the desired tone positions it as a pivotal player in public health messaging; it can deliver clear, concise, and contextually relevant information. Some research has found that patients sometimes prefer AI generated messages as they have a more empathetic tone than doctors, 16 although one systematic review found that public opinion on AI in healthcare was mixed.…”

The Role of Artificial Intelligence in Endocrine Management: Assessing ChatGPT’s Responses to Prolactinoma Queries

“…These advantages for patients include gaining a deeper understanding of their medical conditions through research conducted in artificial intelligence programs, as well as engaging in interactive conversations by posing questions in a natural conversational manner, which they might not have had the opportunity to ask their doctors. Additionally, patients benefit from effectively managing their treatment through features like drug reminders, self-monitoring, dosage guidance, and accessing information on the potential side effects of therapy [4][5][6]. On the other hand, healthcare professionals benefit from utilizing artificial intelligence in the process of diagnostic radiology and medical education, as well as in the planning, execution, and composition of medical research within the field [7,8].…”