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AI in Private Healthcare: Driving Commercial, Operational and Clinical Excellence

Publisher LaingBuisson Ltd.
Published Oct 01, 2024
Length 111 Pages
SKU # LBU20492835

Description

Empowering decision-makers to make strategic decisions informed by real-world use cases. In our latest report, LaingBuisson have partnered with sector experts, Curzon Consulting, to offer the most comprehensive view yet on how AI can be integrated across every element of a healthcare business to realise commercial gains, deliver operational efficiencies, and drive excellence in clinical care.

Rather than theoretical benefits, we have spoken to leading experts already integrating AI into their businesses. Curzon Consulting have identified real-life use cases across the entire value chain of hospital operations from more than 60 hospitals and healthcare institutions, providing a true global view of the potential for AI - spanning 25 countries and every major continent. Going into greater detail, the report highlights AI use cases relevant to every function within a hospital organisation, including operations, commercial, and clinical areas.

As a trusted partner of the independent sector for almost four decades, we believe that this report will provide the insights needed to inform business case development, investment decisions and strategic prioritisation.

Table of Contents

111 Pages
1. Executive Summary and Highlights
2. Introduction
2.1 Background and Objectives
2.2 Scope of Report
2.3 AI Definitions, Stages and Perceptions
3. AI in Healthcare: Current Landscape
3.1 Global Overview of AI Adoption in Healthcare
3.2 Key Themes and Trends in AI Adoption from Leaders in the Private Acute Sector
4. AI Applications in Primary Activities
4.1 Marketing and Patient-Acquisition
4.2 Consultation
4.3 Diagnostics
4.4 Treatment
4.5 Discharge
4.6 Outcomes
4.7 Follow-up
5. AI Applications in Support Activities
5.1 Infrastructure
5.2 Workforce Management
5.3 Information Technology
5.4 Operations
5.5 Procurement
6. AI Across the Value Chain: A Case Study in Orthopaedic Hip Replacements
7. Value Generation and Return on Investment
7.1 Measuring AI's Impact
7.2 Revenue Generation
7.3 Cost Savings and Efficiency Gains
8. Challenges and Barriers
8.1 Technical Challenges
8.2 Ethical and Legal Considerations
8.3 Integration and Adoption Barriers
8.4 Regulatory Landscape
9. Future Outlook and Opportunities
9.1 Emerging Innovations and Applications
9.2 Strategic Growth: Levers for Achieving Success
10. Recommendations and Conclusions
10.1 Strategic Recommendations
10.2 Curzon's Role in Business Case Development
10.3 Conclusion: Turning Vision into Action
Appendices
Appendix 1 Methodology & Assumptions
Appendix 2 Active AI Regulations by Country
Appendix 3 List of Hospital Groups and Academic Institutions Referenced in Case Studies and Examples
Appendix 4 References

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