Abstract

This study examines the current state of artificial intelligence (AI)-based technology applications and their impact on the healthcare industry. In addition to a thorough review of the literature, this study analyzed several real-world examples of AI applications in healthcare. The results indicate that major hospitals are, at present, using AI-enabled systems to augment medical staff in patient diagnosis and treatment activities for a wide range of diseases. In addition, AI systems are making an impact on improving the efficiency of nursing and managerial activities of hospitals. While AI is being embraced positively by healthcare providers, its applications provide both the utopian perspective (new opportunities) and the dystopian view (challenges to overcome). We discuss the details of those opportunities and challenges to provide a balanced view of the value of AI applications in healthcare. It is clear that rapid advances of AI and related technologies will help care providers create new value for their patients and improve the efficiency of their operational processes. Nevertheless, effective applications of AI will require effective planning and strategies to transform the entire care service and operations to reap the benefits of what technologies offer.

Highlights

  • Information and communication technology (ICT) is a core element of digitized organizations that can facilitate operational effectiveness and enhance competitive advantage [1,2,3,4]

  • Healthcare staff is often inundated with much paper work in the care process. This workload has prompted the industry to transition to electronic systems that integrate and digitize medical records, which is aided by artificial intelligence (AI)-based technology

  • To continuously expand and improve the quality of AI-supported systems, we examine some of the issues in the healthcare industry that need to be addressed

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Summary

Introduction

Information and communication technology (ICT) is a core element of digitized organizations that can facilitate operational effectiveness and enhance competitive advantage [1,2,3,4]. There is a need to analyze existing cases of AI-based technologies and their applications to understand the future direction of their use in diagnoses, quality care services, and operational strategies Based on this context, this study analyzes several real-world examples in the healthcare industry to understand how AI affects care services and operational processes. This study analyzes several real-world examples in the healthcare industry to understand how AI affects care services and operational processes This line of research will allow us to recommend a set of strategies to enhance the efficiency of patient treatment and prevention of diseases, as well as the operational efficiency of hospitals.

Review of Relevant Literature
Real-World AI Application Cases in Healthcare
Diagnostic Assistance
Nursing and Managerial Assistance
Opportunities and Challenges Involved in AI Applications in Healthcare
Improved Disease Treatments
Improved Patient Engagement and Participation
Improved Medical Error Reduction and Service Quality
Improved Operational Efficiency and Reduction of Medical Cost
Increased Productivity and New Job Creation
Reduced Healthcare Cost
Challenges Involved with AI Applications
Accountability of the System Use
AI Divide
Cybersecurity for Privacy and Security
Loss of Managerial Control
Conclusions
Implications of AI Applications in Healthcare
Findings
Limitations and Future Research Needs
Full Text
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