"Prioritizing Patient-Centric Care: Resolving Long Queues in African Healthcare Systems by Use of Artificial Intelligence”
Keywords: Keywords: artificial intelligence, patient waiting times, healthcare, Africa
TL;DR: Data science can be used to develop Artificially Intelligent systems in order solve the issue of long queues in African hospitals by predicting patient demand, prioritizing patients, and developing virtual queuing systems.
Abstract: Abstract
Long patient waiting times are a major problem in African hospitals. This can have a significant impact on patient's health and well-being, and it can also be a drain on healthcare resources. However, there is hope on the horizon. Artificial intelligence (AI) has the potential to help address this problem by providing healthcare providers with the tools they need to manage patient demand more effectively.
This paper explores the potential of AI to address the problem of long patient waiting times in Africa. It discusses the challenges and opportunities of using AI in this context, and it provides some recommendations for how AI can be used to improve the healthcare system in Africa.
The paper begins by providing an overview of the problem of long patient waiting times in Africa. It then discusses the potential of AI to address this problem. AI can be used to predict patient demand, allocate resources more efficiently, and identify patients who are at risk of waiting too long.
The paper then discusses the challenges of using AI in Africa. These challenges include the lack of data, the lack of technical expertise, and the cost of implementing AI solutions.
The paper concludes by providing some recommendations for how AI can be used to improve the healthcare system in Africa. These recommendations include developing a national AI strategy, investing in data collection and analysis, and building capacity for AI implementation.
The paper argues that AI has the potential to be a powerful tool for managing patient waiting times in Africa. By developing and deploying AI-powered models, healthcare providers can improve the efficiency of their systems and ensure that patients receive the care they need as quickly as possible. This will have a significant impact on the health and well-being of patients, and it will also help to reduce the strain on healthcare resources.
Submission Category: Machine learning algorithms
Submission Number: 11
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