【科睿唯安ISI】2024科研活动的社会和经济影响:医疗保健领域迎来数字健康革命报告_24页_3mb
报告摘要
Summary of the Digital Health Revolution in Medical Care
Core Content
This report explores the research impact of digital health on society, the economy, and the environment, emphasizing the importance of balancing internal and external research impacts to fully capture the value of research. It highlights the growth of digital health research and the role of artificial intelligence (AI) in driving innovation, as well as the technological and economic implications of digital health advancements through patent data.
Main Points
- Digital health is a rapidly growing field, combining digital technologies with conventional healthcare to improve patient care, streamline delivery, and reduce costs.
- The academic literature on digital health has seen an exponential increase in publications, with a 70-fold rise from 2013 to 2022.
- AI and advanced analytics have been the fastest-growing subfield within digital health, with growth pre-dating the mainstream commercialization of AI technologies like ChatGPT.
- Patent activity in digital health has outpaced academic publication growth, indicating stronger corporate involvement and commercial interest in the field.
- Mainland China leads in AI-related digital health patenting, outperforming the United States in both output and citation impact.
- University research plays a crucial role in innovation and impact, with institutions like Harvard University, Stanford University, and the University of Toronto producing a significant number of high-impact papers in digital health and AI.
- Citation-based impact indicators and patent citations are used to assess the societal and economic influence of digital health research, though measuring societal impact remains complex due to long timeframes, non-linear innovation pathways, and diverse application areas.
Key Information
Growth of Digital Health Research
- 2013: 39 publications with the term "digital health*"
- 2022: 2,641 publications with the term "digital health*", a 70-fold increase
- Total over the decade: 7,944 publications
- AI and advanced analytics showed the most significant growth, with 2,724% increase from 2013 to 2022
Patent Activity in Digital Health
- Patent filings in digital health grew faster than academic publications.
- Approximately 140,000 patented inventions were identified in the period 2013-2022.
- Corporate entities dominate patenting activity, indicating a strong commercial focus in the field.
Top Countries/Regions in Digital Health and AI Research
| Rank | Country/Region | Web of Science Items | Citations | CNCI | % Top 10% |
|---|---|---|---|---|---|
| 1 | United States | 1,808 | 52,565 | 2.51 | 33.74 |
| 2 | Mainland China | 2,191 | 62,362 | 2.26 | 27.93 |
| 3 | United Kingdom | 687 | 20,374 | 2.69 | 36.83 |
| 4 | Canada | 362 | 11,158 | 2.81 | 36.19 |
| 5 | Germany | 298 | 6,206 | 2.19 | 29.87 |
| 6 | Italy | 336 | 7,821 | 2.15 | 33.04 |
| 7 | Australia | 301 | 6,924 | 2.23 | 30.23 |
| 8 | South Korea | 379 | 8,141 | 1.90 | 26.65 |
| 9 | India | 721 | 11,529 | 1.79 | 24.27 |
| 10 | Saudi Arabia | 278 | 4,421 | 2.33 | 34.89 |
Top Research Institutions in Digital Health and AI
| Rank | Institution | Web of Science Items | Citations | CNCI | % Top 10% |
|---|---|---|---|---|---|
| 1 | Harvard University | 234 | 8,714 | 3.16 | 37.18 |
| 2 | University of Toronto | 113 | 3,369 | 3.00 | 39.82 |
| 3 | Stanford University | 106 | 4,403 | 3.95 | 50.00 |
| 4 | Xi'an Jiaotong University | 77 | 9,465 | 7.30 | 54.55 |
| 5 | Chinese Academy of Sciences | 95 | 2,903 | 2.06 | 33.68 |
| 6 | University College London | 88 | 3,306 | 3.24 | 43.18 |
| 7 | Massachusetts General Hospital | 81 | 3,756 | 3.95 | 41.98 |
| 8 | University of Edinburgh | 60 | 746 | 2.67 | 26.67 |
| 9 | University of Manchester | 75 | 1,582 | 2.50 | 32.00 |
| 10 | University of Oxford | 130 | 2,844 | 2.10 | 26.92 |
Challenges in Measuring Research Impact
- Time lag in translating research into real-world applications.
- Non-linear innovation paths that involve multiple stakeholders and disciplines.
- Diverse and inconsistent data sources make quantitative impact assessment difficult.
- Patent citations are a valuable but limited source of evidence for technological and economic impact.
- Societal impact is hard to quantify and often requires qualitative analysis alongside quantitative data.
Conclusion
The digital health revolution is transforming medical care through research, innovation, and technological integration. While academic research has driven significant growth in the field, corporate innovation is playing an increasingly prominent role. The use of AI and advanced analytics is a key driver of this growth, with Mainland China emerging as a major global player. Clarivate's analysis demonstrates the potential of digital health to improve health outcomes, reduce costs, and enhance patient engagement, but it also underscores the complexity of impact measurement and the need for comprehensive, multi-dimensional approaches to assess its full societal and economic value.
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