埃森哲-2018年数字医疗科技的五大趋势（英文）-2018.7-32页-6mb

Digital Health Tech Vision 2018 Summary

Core Content

The Accenture Digital Health Technology Vision 2018 outlines five key trends shaping the future of healthcare through the integration of intelligent technologies. These trends are categorized into enablers and consequences of an intelligent healthcare enterprise. The enablers—Citizen AI, Extended Reality, Frictionless Business, and Internet of Thinking—highlight the transformative potential of technology in healthcare. The consequences—Data Veracity—emphasize the ethical and trust-related challenges that come with deep technological integration.

Main Trends and Key Points

Trend 1: Citizen AI

• Definition: AI is no longer just a tool but a part of the healthcare workforce, capable of making decisions that impact patient care and outcomes.
• Impact: AI is used in diagnosing wounds, monitoring the elderly, and verifying insurance information.
• Concerns:
  • 85% of health executives believe AI will directly impact every person in the next three years.
  • 81% of executives feel organizations are not prepared to handle the societal and liability issues that arise from AI-based decisions.
• Responsibility:
  • Organizations must ensure AI is explainable and responsible.
  • AI systems must be free from bias, and data used for training must be representative and fair.
  • Transparent AI governance and public statements on data use are critical for consumer trust.
• Examples:
  • Jvion’s AI solution helped Health First reduce readmissions and save costs.
  • Pegasystems’ "T-Switch" feature allows users to choose between opaque and explainable AI models.

Trend 2: Extended Reality (XR)

• Definition: XR includes Virtual Reality (VR), Augmented Reality (AR), and the broader concept of immersive technologies that bridge the physical and simulated worlds.
• Impact:
  • XR is eliminating the "distance" barrier in healthcare, enabling remote consultations, training, and patient engagement.
  • It enhances precision in medical procedures and allows for better patient understanding of their conditions.
• Key Insights:
  • 82% of health executives believe XR is removing the hurdle of distance in accessing people, information, and experiences.
  • XR can bring specialized care to patients in remote areas and improve surgical outcomes.
• Examples:
  • Florida Hospital Tampa uses VR to help patients and families visualize brain tumors.
  • The Cleveland Clinic is transitioning to a digital anatomy learning platform using XR.
  • VR is used for PTSD therapy and to train medical professionals in CPR techniques.

Trend 3: Data Veracity

• Definition: Ensuring the accuracy, integrity, and authenticity of data is crucial for trust and effective decision-making.
• Challenges:
  • Inaccurate or manipulated data can lead to poor medical decisions and misdiagnosis.
  • 24% of health executives report their organizations have been targeted by adversarial AI.
• Solutions:
  • Organizations must focus on provenance, context, and integrity of data.
  • Blockchain and data intelligence tools can help secure and verify data.
• Examples:
  • DHL and Accenture developed a blockchain-based prototype to secure the pharmaceutical supply chain.
  • Aetna implemented continuous behavior-based authentication to protect sensitive data.

Key Information and Statistics

• 85% of health executives believe AI will impact every person daily within three years.
• 82% of health executives agree that XR is removing the distance barrier in healthcare.
• 77% of health executives are not prepared to deal with corrupted insights from adversarial AI.
• 68% of health plans and 84% of providers agree that data integrity will become a critical issue.
• 79% of health executives believe it's important for their organization to be a pioneer in XR.
• 83% of physicians have experienced a cyber attack, highlighting the need for better data security.

Conclusion

The 2018 Digital Health Tech Vision underscores the growing role of intelligent technologies in healthcare, but also highlights the need for trust, transparency, and responsibility. As AI and XR become more integrated into daily healthcare practices, organizations must ensure that these technologies are not only effective but also ethical and secure. Building explainable AI, leveraging extended reality for better patient and clinician engagement, and securing data through veracity and blockchain are essential steps toward a future where technology enhances care without compromising trust.