【罗兰贝格】2024医疗未来医疗健康行业中的AI变革第六版

Future of Health 6: The AI (r)evolution in Health

Core Content Overview

The Future of Health 6 report from Roland Berger explores the transformative role of artificial intelligence (AI), particularly generative AI (GenAI), in the healthcare sector. It emphasizes that AI will drive a rapid evolution rather than a sudden revolution, with substantial changes expected across the industry. The report provides insights into how different stakeholders are adopting AI, the impact on the patient journey, and the potential future scenarios for AI integration in healthcare.

Main Views and Key Information

1. AI as a Catalyst for Change

• AI is expected to bring significant improvements in healthcare quality, cost efficiency, and operational productivity.
• The global healthcare AI market is projected to grow to USD 187.7 billion by 2030, with over USD 30 billion invested in the past three years.
• AI is already being used in medical diagnostics, with 52% of hospitals using it at least partially in their standard operations, and 32% piloting AI solutions.
• Strategic partnerships with tech giants are favored over in-house development by 87% of respondents to bridge the gap in AI preparedness.

2. Impact on the Patient Journey

• The patient journey is expected to become hybrid, combining in-person care with digital services enhanced by AI.
• AI can provide 24/7 availability of healthcare services, improving accessibility for patients.
• Prevention is becoming a more prominent area for AI application, enabling personalized health plans and early disease detection.
• Diagnostics will see the most immediate and widespread use of AI, with 88% of hospital respondents expecting it to become the industry standard.
• Therapy and nursing are expected to see slower AI adoption due to the need for human or physical intervention.

3. AI Across the Healthcare Value Chain

• Health insurance companies are using AI for automated customer communication, predictive analytics, and personalized advice.
• Pharmaceutical companies are leveraging AI for drug discovery, R&D optimization, and supply chain improvements.
• Medtech firms are integrating AI for diagnostic support, dynamic simulations, and predictive maintenance.
• Government bodies are using AI for fraud detection, healthcare need forecasting, and administrative streamlining.
• Hospitals are focusing on administrative automation, patient flow optimization, and data management.

4. Challenges and Barriers

• Regulatory differences across regions, such as the EU’s GDPR and the U.S. evolving regulatory landscape, affect AI implementation.
• Socioeconomic disparities and patient trust in AI technologies are critical factors influencing adoption.
• Technical affinity and employee age influence the rate of AI adoption within hospitals, with younger staff more open to using AI tools.
• Only 29% of respondents feel prepared to exploit AI for competitive advantage, indicating a need for strategic investment and planning.

5. Future Scenarios

• AI will have a strong future impact in diagnostics and prevention, with medium to strong influence in therapy and administration.
• Overhead functions are expected to see a weak future role for AI.
• AI-driven personalized medicine and decision support systems are likely to become standard, enabling faster, more accurate diagnoses and better treatment outcomes.

Strategic Recommendations

The report outlines five key strategies for stakeholders to prepare for the AI transformation:

1. Adopt AI early to avoid falling behind in innovation and effectiveness.
2. Invest in strategic partnerships with tech giants to access advanced AI capabilities.
3. Focus on areas of high impact, such as diagnostics and prevention, to maximize value.
4. Enhance workforce training to adapt to the evolving role of AI in healthcare.
5. Leverage AI for personalized care and cross-functional insights to improve patient outcomes.

Conclusion

AI is set to transform healthcare through a rapid evolution rather than a sudden revolution, with a wide range of applications across the patient journey and healthcare value chain. While some areas, such as diagnostics, are already seeing significant use, others like therapy and nursing are progressing more slowly. The report stresses the importance of strategic action and investment to fully harness the benefits of AI and stay competitive in the evolving healthcare landscape.