Telehealth Solution Market Demands in China and in Europe (Germany, Denmark and Italy). Developing the Innovation Ecosystem: A Case Study on the Chinese Digital Healthcare Industry. Use of AI in Combating COVID-19: Practices in Different Economies. COVID-19 and the Digitalization of the Healthcare System.
Biography
Dr. Nuoya Chen (MBA) was a Marie Curie Fellow for the Horizon 2020 Health related Activity Recognition system based on IoT project at University of Macerata. She worked with Philips Research in 2018, 2019 and 2021 to finish her PhD. She later worked for a medical device startup in China and Philips Industry Consulting. She is currently an associate member of the Royal Society of Medicine while serving for several journals as review editor.
1. What aspects does the book help to understand about the use of AI in healthcare? Including, what is the book about?
The book provides a broad understanding of how artificial intelligence is part of the development of modern healthcare systems. One of the book’s strengths is that AI is described as part of a larger digital transformation, in which telemedicine, wearables, the Internet of Things, electronic health records, digital platforms, and healthcare policy priorities are closely interconnected. In this way, it becomes clear that the use of AI in healthcare depends on the organisational and infrastructural foundation within which the technology must function. Chapter 1 describes how demand for telehealth solutions is growing in both China and Europe as healthcare systems face pressure from ageing populations, rising rates of chronic disease, and increasing healthcare expenditures. Here, the book helps the reader understand that AI only becomes meaningful in healthcare when there is access to data, digital infrastructure, and communication across systems. Among other things, the chapter points out that AI can analyse large amounts of patient data to support diagnosis, treatment, and prevention, for example, through image analysis and the identification of disease patterns in patient records. The book highlights Denmark’s high level of digital implementation, with several healthcare actors already interconnected, thereby illustrating that AI in healthcare depends on national structures and political priorities. AI is also described as particularly relevant for the continuous monitoring of chronic illness, where it can contribute to the early detection of deterioration. Chapter 2 and its appendix expand the understanding of AI stakeholders in healthcare by showing how technology companies such as Alibaba, Tencent, Huawei, and Xiaomi seek to build systems that integrate hardware, software, cloud solutions, and health data on a single platform. This is an important insight because it shows that the development of AI in healthcare is driven not only by hospitals and healthcare professionals but also by commercial actors with their own interests. The book, therefore, helps the reader understand that AI in healthcare is simultaneously a clinical, organisational, economic, and political issue. Chapters 3 and 4 focus on how the COVID-19 pandemic used AI for infection surveillance, image-based diagnostics, hospital resource prioritisation, telemedicine, and vaccine and medicine development. The book emphasises that technology cannot solve staff shortages, insufficient local healthcare infrastructure, or inequality in access to healthcare. Overall, the book helps the reader understand that AI in healthcare is always entangled with questions of data, organisation, trust, regulation, and clinical practice.
2. What would you like to know more about in relation to generative AI?
From a nursing perspective, the most interesting aspect is how AI can support patient care, clinical workflows, and interdisciplinary collaboration in the hospital setting. There is strong potential in describing concrete examples of the many AI studies currently underway in hospitals, so that the discussion comes closer to everyday clinical practice. This could include how AI can support clinical decision-making and clinical leadership for both doctors and nurses. Since documentation is time-consuming in clinical practice, it would also be highly relevant to describe how AI can support documentation work in hospital settings, especially in relation to the stricter regulations designed to protect patient rights. In this regard, a future book could come even closer to clinical practice by expanding the discussion of AI in electronic health records.
I have also personally reflected on whether AI could be used to direct patients to the right places, as many patients struggle to find their way when arriving at a large hospital, and whether it could provide information in several languages. This is particularly relevant because language barriers are one of the areas where major inequality arises in Denmark, especially since user payments for interpreter assistance exacerbate it. Your book also points out that trust is crucial in digital healthcare solutions, and that many patients prefer human contact over chatbot-based solutions, particularly when the quality seems uncertain. In healthcare, uncertainty at that level is unacceptable. These systems must be safe. In our setting, we also have VIP systems, meaning guidelines, instructions, and procedural descriptions, and this is another area that could be explored further: how such systems might be integrated into AI and thereby support clinical decision-making. However, as you also write in the book, legislation and the protection of patient information remain major challenges for this development. The central question, then, is how AI can be used safely, responsibly, and meaningfully in a busy hospital context without replacing clinical judgement in decision-making and leadership.
3. Are the different topics in the chapters related or very different?
Although the book is broad, spanning many levels and issues, the chapters are connected. The most important common thread is the digitalisation of healthcare as a response to structural challenges. Several chapters point to the same underlying problems: rising healthcare expenditures, an ageing population, more patients with chronic
conditions, pressure on hospitals, and the need for more efficient and accessible solutions. At the same time, the foundations of digital health act as a unifying element throughout the book.
There is also a clear connection between the technological and organisational themes, as the book shows that simply having access to advanced technology is not enough. Implementation depends on regulation, financing, user acceptance, clinical validation, and the interaction between public and private actors. In this way, the book connects the macro level of healthcare policy and system structure with the micro level of patients, clinicians, and concrete workflows. Likewise, the appendix sections provide deeper insight into stakeholder experiences. The chapters, therefore, present a coherent account of the digital transformation of healthcare.
