The role of community health workers in implementing AI-based health solutions in rural areas
1 University of Akron, School of Nursing, US.
2 Life's Journey Inc. Winnipeg, Manitoba, Canada.
3 Enugu State University Teaching Hospital, Parklane, Enugu, Nigeria.
4 Austin Peay State University, Clarksville, TN, USA.
Review
International Journal of Biology and Pharmacy Research Updates, 2024, 04(01), 001–017.
Article DOI: 10.53430/ijbpru.2024.4.1.0026
Publication history:
Received on 01 July 2024; revised on 11 August 2024; accepted on 13 August 2024
Abstract:
The integration of artificial intelligence (AI) in healthcare holds substantial promise for improving health outcomes, particularly in rural areas where access to medical resources is often limited. Community health workers (CHWs) play a pivotal role in bridging the gap between advanced health technologies and underserved populations. This paper explores the crucial role of CHWs in implementing AI-based health solutions in rural settings, focusing on their contributions to facilitating technology adoption, enhancing healthcare delivery, and addressing local health challenges. CHWs serve as a vital link between healthcare systems and rural communities, often providing essential services in areas with scarce medical professionals. Their involvement in AI-based health solutions is transformative, as they help integrate these technologies into everyday healthcare practices, making advanced tools accessible to those who need them most. AI applications, such as predictive analytics for disease outbreaks, remote monitoring systems, and diagnostic tools, can greatly benefit from the on-the-ground insights and support provided by CHWs. The implementation of AI-based health solutions by CHWs involves several key activities: educating community members about new technologies, assisting with the operation and maintenance of AI tools, and collecting and reporting health data for analysis. CHWs also play a critical role in ensuring that AI solutions are tailored to the specific needs and contexts of rural populations, thereby enhancing their effectiveness and acceptance. Despite the potential benefits, challenges such as technological literacy, resource constraints, and the need for continuous training must be addressed to optimize the impact of AI solutions. This review underscores the importance of equipping CHWs with the necessary skills and resources to leverage AI effectively, thereby improving health outcomes and operational efficiency in rural healthcare settings. In conclusion, the role of community health workers in implementing AI-based health solutions is crucial for extending the benefits of advanced technologies to rural areas. By supporting and integrating AI tools, CHWs can help bridge the healthcare divide, improve health outcomes, and promote more equitable access to healthcare resources.
Keywords:
CHW; AI-Based; Community; Healthcare; Health Solutions
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0