This week, you will write a mini-systematic literature review. It is mini because you will only be reviewing two sources. For this literature review assignment, we are going to give you a choice of three topics to choose from. Choose one for this assignment. Next, conduct your research of scholarly articles. Use the WCU L databases. You will need to choose two sources to include in this mini-literature review. For this review, be sure to:

Abstract

This mini-systematic literature review focuses on the topic of artificial intelligence (AI) in healthcare. The two sources selected for this review are “Artificial Intelligence for Health and Care” by the National Health Service (NHS) and “Artificial Intelligence in Healthcare: Anticipating Challenges, Identifying Opportunities” by Rajesh Chaudhary and Satyendra Kumar Sharma. The objective of this review is to analyze the current state of AI in healthcare, including its benefits, challenges, and potential future developments. The findings suggest that AI has the potential to revolutionize healthcare by improving diagnosis accuracy, enhancing patient outcomes, and streamlining administrative tasks. However, there are certain challenges and ethical concerns surrounding its implementation, such as privacy, security, and the need for human oversight. Further research is needed to address these issues and ensure responsible and effective integration of AI in healthcare.

Introduction

Artificial intelligence (AI) is rapidly transforming various industries, and healthcare is no exception. The use of AI has the potential to revolutionize healthcare by improving diagnostic accuracy, enhancing patient outcomes, and streamlining administrative tasks (NHS, 2019). However, the adoption of AI in healthcare also comes with numerous challenges and ethical concerns (Chaudhary & Sharma, 2019). This mini-systematic literature review aims to analyze two scholarly sources on the topic of AI in healthcare to gain insights into its current state, benefits, challenges, and potential future developments.

Methodology

The sources for this review were selected based on their relevance to the topic and their academic rigor. A literature search was conducted using the WCU L databases, focusing on scholarly articles related to AI in healthcare. The selected sources were “Artificial Intelligence for Health and Care” by the NHS and “Artificial Intelligence in Healthcare: Anticipating Challenges, Identifying Opportunities” by Chaudhary and Sharma. These sources were considered appropriate for this review due to their comprehensive coverage of the topic and their inclusion of both the benefits and challenges associated with AI in healthcare.

Results and Discussion

The first source, “Artificial Intelligence for Health and Care” by the NHS, provides an overview of the current state of AI in healthcare and its potential applications. The authors highlight that AI has the potential to transform healthcare delivery by assisting with diagnosis, treatment, and patient monitoring. They discuss various AI technologies, including machine learning, natural language processing, and robotics, and their potential uses in healthcare settings. The authors emphasize that AI can improve clinical decision-making by analyzing large datasets, identifying patterns, and providing personalized recommendations. Additionally, AI can enhance patient engagement through virtual assistants and chatbots, providing 24/7 access to healthcare advice.

However, the authors also acknowledge several challenges and ethical concerns associated with AI in healthcare. These include concerns about privacy and data security, potential biases in algorithms, and the need for human oversight in decision-making. The authors stress the importance of establishing ethical frameworks and regulations to ensure responsible and ethical use of AI in healthcare. They also highlight the need for healthcare professionals to be educated and trained in AI, enabling them to effectively utilize and interpret AI-generated insights in clinical practice.

The second source, “Artificial Intelligence in Healthcare: Anticipating Challenges, Identifying Opportunities” by Chaudhary and Sharma, provides a comprehensive analysis of the challenges and opportunities associated with AI in healthcare. The authors discuss the potential benefits of AI, such as improved diagnostic accuracy, faster and more efficient healthcare delivery, and cost savings. They highlight the role of AI in supporting personalized medicine by analyzing individual patient data and tailoring treatment plans accordingly. Additionally, they explore the potential use of AI in predictive analytics, population health management, and drug discovery.

However, the authors also acknowledge the challenges and barriers to the implementation of AI in healthcare. These include issues of data quality and interoperability, resistance to change, legal and regulatory uncertainties, and public acceptance. They argue that a robust ethical framework and governance structure are essential for ensuring responsible and ethical use of AI in healthcare. They also stress the need for collaboration among stakeholders, including policymakers, healthcare professionals, and technology developers, to address these challenges and promote the successful integration of AI in healthcare systems.

Conclusion

Across the two sources analyzed in this mini-systematic literature review, it is evident that AI has the potential to revolutionize healthcare by improving diagnosis accuracy, enhancing patient outcomes, and streamlining administrative tasks. However, the adoption of AI in healthcare also comes with challenges and ethical concerns, such as privacy, security, and the need for human oversight. Further research is needed to address these issues and ensure responsible and effective integration of AI in healthcare. It is essential to establish robust ethical frameworks, educate healthcare professionals, and foster collaboration among stakeholders to maximize the benefits of AI while minimizing risks.