2021年全球医疗行业展望(英文版)_42页_2mb
报告摘要
2021 Global Healthcare Outlook Summary
Core Content
The 2021 Global Healthcare Outlook from Deloitte highlights the transformative impact of the COVID-19 pandemic on the global healthcare sector. The pandemic has not only strained the healthcare workforce, infrastructure, and supply chain but also accelerated changes in the industry, prompting public and private health systems to innovate and adapt rapidly. The report outlines six key issues that healthcare leaders must address in 2021 to navigate the post-pandemic "new normal" and advance toward the Future of Health™.
Main Issues and Viewpoints
1. Consumers and the Human Experience
- Consumers are becoming more active, engaged, and empowered in managing their health.
- There is a growing demand for clear, concise, and transparent information about treatment, cost, and care options.
- Virtual visits are increasingly used and expected to remain a key part of care delivery post-pandemic.
- A trusted physician relationship remains critical, even with the rise of digital tools.
- Consumer data ownership is a key factor in building trust and enabling personalized care.
- The focus is shifting from healthcare to health and well-being, with more attention on prevention, early diagnosis, and lifestyle management.
2. Care Model Innovation
- There is a shift from acute care to prevention and well-being.
- Transitioning from standardized clinical protocols to personalized medicine.
- Value-based and outcome-focused payment models are gaining traction.
- Financial, operational, and performance improvements are necessary for sustainable care delivery.
- The healthcare ecosystem is expanding to include non-traditional players, such as tech companies and startups.
- Health equity is becoming a priority, with efforts to address disparities in access and affordability.
3. Digital Transformation and Interoperable Data
- Digital innovation is accelerating due to the pandemic, especially in areas like virtual care, AI, and interoperable data.
- Cloud computing is being adopted rapidly to improve efficiency, reduce costs, and enhance data governance.
- AI applications are being used to improve diagnostic accuracy, clinical decision-making, staff scheduling, and fraud detection.
- Interoperability and data analytics are essential for enabling seamless care delivery and personalized experiences.
4. Workforce and Talent
- New business models and agile working practices are emerging to address capacity and demand challenges.
- Remote work and virtual delivery are becoming more common, especially for nonclinical staff.
- Multidisciplinary teaming and automation are being used to reduce administrative burdens and improve efficiency.
- Workforce reimagining is critical to meeting the evolving needs of patients and providers.
5. Socioeconomic Shifts
- Support programs for holistic well-being are being developed to address both health and socioeconomic needs.
- Underserved populations are receiving more attention, with public-private collaborations to modify policies and improve access.
- Global health spending is expected to recover in 2021 and grow at a 3.9% CAGR between 2020 and 2024, with the fastest growth in Asia and Australasia and the slowest in Latin America.
- Healthcare spending as a share of GDP is projected to rise to 10.4% in 2020, with an expected average of 10.3% in 2021 and 2022.
6. Collaboration
- Public-private partnerships are critical in addressing pandemic-related challenges and long-term healthcare needs.
- Ecosystems that support real-time data sharing, education, prevention, and treatment are being developed.
- Collaboration across stakeholders is essential to improve care delivery and patient outcomes.
Key Technologies Driving Change
Cloud Computing
- Cloud adoption is increasing to reduce costs and improve efficiency.
- It enables decentralized access to data and real-time processing, reducing reliance on physical infrastructure.
- Cybersecurity remains a top concern, but leading cloud providers offer shared responsibility models to protect data.
Artificial Intelligence (AI)
- AI is being used to analyze data, personalize care, and automate tasks.
- It supports clinical decision-making, diagnostic accuracy, and staff scheduling.
- AI can also help reduce alert fatigue, identify medication errors, and detect fraud, waste, and abuse.
- AI is expected to play a pivotal role in future-state care models, enabling scalable, efficient, and patient-centric healthcare delivery.
Case Studies and Examples
- China: Tech giants like Alibaba and WeChat are using AI and cloud computing to support telehealth, drug delivery, and virus research.
- Chile: AccuHealth uses AI for remote monitoring of chronic conditions, improving care efficiency.
- Israel: Sheba Medical Center and Aidoc collaborate to accelerate diagnosis and improve treatment outcomes.
Strategic Considerations for Healthcare Leaders
- Organizations should recommit to understanding consumer needs and developing multifaceted strategies.
- Digital transformation must be prioritized to support care delivery and data interoperability.
- Cost management and efficiency improvements are essential for long-term sustainability.
- Collaboration and innovation are necessary to meet the evolving demands of the healthcare sector.
Conclusion
The pandemic has acted as a catalyst for change in the global healthcare sector, pushing organizations to innovate, adapt, and transform. The focus is now on digital transformation, care model innovation, consumer-centric care, and health equity. As healthcare leaders navigate these challenges, they must prioritize trust, interoperability, and collaboration to build a more resilient, efficient, and equitable healthcare system.
试读结束,高清完整版pdf/doc/ppt,请点下载