2020人工智能在医疗保健行业的成就与挑战（英文版）_45页_908kb

报告摘要

Summary of Living in an AI World 2020 Report: Healthcare Insiders

Core Content

The Living in an AI World 2020 Report: Healthcare Insiders by KPMG provides an in-depth analysis of the current state and future potential of artificial intelligence (AI) in the healthcare industry, based on a survey of 751 U.S. business decision-makers with moderate AI knowledge.

Main Findings

AI Adoption in Healthcare

AI is already transforming healthcare, with both positive impacts on patient care and operational efficiencies, as well as concerns about increased costs.
53% of respondents believe the healthcare industry is ahead of most others in AI adoption.
37% of healthcare executives feel the pace of AI implementation is too slow, citing training, cost, and privacy as key barriers.
89% of healthcare respondents believe AI is already creating efficiencies in their systems.
91% of healthcare respondents believe AI is increasing patient access to care.
68% of respondents are confident AI will eventually be effective in diagnosing patient illnesses.
47% of respondents believe diagnostics will have a significant impact within the next two years.
40% of respondents anticipate gains in process automation, such as robotic handling of x-rays and CT scans.
41% see further enhancements in electronic health records (EHR) management from AI.
47% see machine learning as the key AI enabler for future healthcare applications.

AI's Impact on Healthcare

AI is increasingly being used in clinical and patient-facing applications, such as analyzing medical data and improving diagnostic accuracy.
Google Health reported that an AI model developed by DeepMind was more effective in breast cancer screening than human doctors using recent x-rays only, highlighting the potential of AI in diagnostics.
AI is expected to significantly enhance patient experience, with 90% of healthcare respondents anticipating improvements.

Challenges of AI Adoption

Talent Shortage

Only 47% of healthcare insiders say their organizations offer AI training courses to employees.
67% of healthcare insiders believe their employees support AI adoption, the lowest among the five industries surveyed.
There is a lack of individuals who understand AI and its application in healthcare, which hinders progress.

Cost Concerns

54% of executives believe AI has increased rather than decreased healthcare costs.
Many healthcare organizations are already burdened by IT costs, making it difficult to allocate additional funds for AI implementation.

Privacy and Security Risks

75% of respondents are concerned that AI could threaten the security and privacy of patient data.
86% of respondents say their organizations are taking steps to protect patient privacy during AI implementation.

Key Recommendations for Healthcare Companies

Invest in AI training to build a workforce capable of leveraging AI effectively.
Focus on patient-centric applications, such as diagnostics and care delivery, to maximize AI's impact.
Prioritize AI integration in unstructured data analysis to solve complex healthcare problems.
Balance AI implementation with cost and privacy considerations, ensuring that AI initiatives are both financially viable and secure.

Conclusion

Despite the challenges, healthcare companies are optimistic about the future of AI. The report emphasizes the need for strategic AI adoption, enhanced training, and a strong focus on patient outcomes to fully realize the benefits of AI in healthcare.

Additional Resources

For more insights on AI trends, visit: read.kpmg.us/8trends
For information on ethical AI, visit: read.kpmg.us/ethicalAI
For details on AI in control, visit: read.kpmg.us/AlinControl

Contact Information

Traci Gusher – Principal, Innovation and Enterprise Solutions, U.S. Lead, Artificial Intelligence, KPMG
Email: tgusher@kpmg.com
Melissa Edwards – Managing Director, Digital Enablement, KPMG
Email: melissaedwards@kpmg.com
Website: kpmg.com/us

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