> **来源：[研报客](https://pc.yanbaoke.cn)** # KPMG Global Tech Report 2026: Healthcare Summary ## Core Content The **KPMG Global Tech Report 2026: Healthcare** outlines the current state and future direction of technology adoption in the healthcare sector. It emphasizes that while healthcare systems face challenges such as aging populations, budget constraints, and workforce pressures, technology and AI offer significant opportunities to enhance care delivery, improve outcomes, and build more resilient health systems. ## Main Views - **Technology Investment**: Healthcare organizations are investing heavily in digital technologies, with 40% spending between \$50–100 million annually. This investment is focused on foundational platforms like EHRs, ERP, and cloud systems, which are seen as the bedrock for future AI integration. - **AI Adoption**: AI is rapidly scaling in healthcare, with 66% of executives actively deploying AI use cases, up from 32% the previous year. Over 76% expect to deploy AI at enterprise scale within the next 12 months, highlighting its growing importance. AI is being embedded into workflows, services, and value streams by 86% of organizations. - **ROI and Value Realization**: While the majority of healthcare organizations are achieving breakeven within 12 months, only 30% exceed their initial investment. There is a need for better ROI tracking and more strategic AI deployment to unlock full value. - **Technology Operating Models (TOM)**: A clear TOM is essential for AI success. Organizations are moving from isolated innovation to a more coordinated, whole-system approach. The report highlights that a balanced approach between centralized and federated governance is critical to ensure both standardization and local autonomy. - **Patient Experience**: The focus is shifting towards improving the patient experience through a connected digital front door, supported by AI and automation. This includes personalized, predictive care and more efficient patient journeys. - **Cybersecurity and Resilience**: As cyber risks rise, cybersecurity and business continuity planning are becoming top priorities. Over 40% of healthcare leaders expect to increase cybersecurity spending by more than 10% in the coming year. Resilience is seen as both a technical and clinical imperative. - **Future of Care Delivery**: Emerging technologies such as **digital twins**, **remote monitoring**, **patient peer networks**, and **robotic surgery** are set to transform care delivery. These tools enable more efficient operations, better patient outcomes, and support workforce optimization. ## Key Information - **Investment Trends**: - 40% of healthcare organizations spend \$50–100 million annually on digital technologies. - 76% of executives expect to deploy AI at scale in the next 12 months. - 86% of organizations are embedding AI into workflows and services. - **Challenges**: - **Weak governance and limited expertise** are the most significant challenges (42% of respondents). - **Cybersecurity** is the top concern, followed by **unreliable data**. - **Regulatory and compliance risks**, **data silos**, and **integration complexity** are major barriers to AI and tech transformation. - **Strategic Shifts**: - The majority of healthcare organizations are **fast followers** (55%), rather than early adopters (35%). - There is a growing emphasis on **whole-system transformation** rather than isolated improvements. - **Data foundations** and **operational models** need to be restructured to support AI at scale. - **Future Technologies**: - **Digital twins** are being used to simulate hospital operations and improve planning. - **Remote monitoring** and **virtual services** are becoming standard, especially in areas with staffing shortages. - **Patient peer networks** are expected to grow, offering more dynamic support than traditional platforms. - **Robotic surgery** is increasing due to its precision and training value, but requires strong IT infrastructure and cybersecurity. ## Key Actions for Success - **Define a Target Operating Model (TOM)**: Create a vision and roadmap for technology integration that aligns with clinical and financial goals. - **Strengthen Data Foundations**: Ensure data flows are optimized, secure, and AI-ready to support meaningful AI deployment. - **Build a Future-Ready Workforce**: Focus on upskilling and AI fluency to empower staff and improve patient care. - **Prioritize Security**: Integrate cybersecurity and trust/ethics considerations into AI development and testing. - **Drive Strategic Ecosystem Partnerships**: Foster collaborations that enhance interoperability, innovation, and outcomes. ## Conclusion Healthcare is at a critical inflection point, where the right combination of **technology investment**, **AI deployment**, and **strategic leadership** can drive significant transformation. The report underscores that while the sector is cautious, it is moving toward a more integrated and predictive model of care. Organizations that align their technology, data, governance, and workforce strategies around **patient outcomes** and **system resilience** will be best positioned to lead the future of healthcare. --- ## Summary of Key Statistics - 40% of organizations invest \$50–100 million annually in digital tech. - 66% actively deploy AI, up from 32% the previous year. - 76% expect to deploy AI at scale in the next 12 months. - 86% embed AI into workflows, services, and value streams. - 57% of organizations report ROI at breakeven or below. - 30% exceed initial investment. - 42% of respondents cite weak governance and limited expertise as the most significant challenge. - 55% are fast followers, 35% early adopters, 23% embrace disruptive tech. - 44% prefer to wait for proven technology. - 69% of executives believe traditional KPIs are insufficient for measuring AI performance. - 41% of healthcare leaders plan to increase cybersecurity spending by over 10%. - 76% of healthcare organizations are investing in digital transformation. --- ## Call to Action KPMG urges healthcare leaders to **lead, not follow**, and to align their technology strategies with **patient outcomes** and **workforce resilience**. By building a clear TOM, strengthening data governance, and investing in a future-ready workforce, healthcare organizations can unlock the full potential of AI and digital transformation.