Healthcare Workforce And European Health Insurance: Addressing Staffing Challenges

Healthcare Workforce And European Health Insurance: Addressing Staffing Challenges – Artificial intelligence (AI) has the potential to transform how healthcare is delivered. A joint report from the European Union’s EIT Health explores how it can help improve care outcomes, patient experience and access to health services. It can increase productivity and efficiency in care delivery, and the health system can provide more and better care to more people. AI can help improve the experience of healthcare professionals, allowing them to spend more time on direct patient care and reduce burnout.

Health is one of the major success stories of our time. Medical science has rapidly improved, increasing life expectancy worldwide, but as life expectancy increases, health systems face increasing demands on their services, rising costs and a workforce struggling to meet the needs of patients.

Healthcare Workforce And European Health Insurance: Addressing Staffing Challenges

Demand is driven by a combination of unstoppable forces: an aging population, changing patient expectations, changing lifestyle choices, and the never-ending cycle of innovation are just a few. Among them, the effects of population aging stand out. By 2050, one in four people in Europe and North America will be over 65; this means that the health system will have to deal with more patients with complex needs. Managing such patients is expensive and requires the system to shift from a philosophy based on episodic care to a much more proactive and long-term care management approach.

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Healthcare spending does not stay the same. Without major structural and transformative changes, healthcare systems will struggle to remain sustainable. Health systems also need a larger workforce, but while the global economy could create 40 million new health sector jobs by 2030, there is still a projected shortage of 9.9 million doctors, nurses and midwives worldwide over the same period, according to the World Health Organization. . Organization.1 Global Strategy on human resources for health: Workforce 2030, World Health Organization, 2016, https://www.who.int/hrh/resources/pub_globstrathrh-2030/en/. In addition to attracting, training and retaining more healthcare professionals, we need to ensure that their time is spent where it matters most, caring for patients.

Based on automation, artificial intelligence (AI) has the potential to revolutionize healthcare and address the challenges outlined above. There are many definitions of AI, but this report starts with a specific and helpful definition used by the European Parliament, “AI is the ability of a computer program to perform tasks or reasoning processes that we usually associate with the human mind.” 2 Artificial intelligence: potential benefits and ethical considerations, Information on legal issues of the European Parliament, Policy Department C: Citizens’ Rights and Constitutional Affairs, PE 571.380, 2016, http://www.europarl.europa.eu/RegData/etudes/BRIE/ 2016/571380/IPOL_BRI(2016)571380_EN.pdf. In this paper, the working definition of AI in healthcare is deliberately broad; it spans a functional continuum from the application of rule-based systems to state-of-the-art methodologies that include classical machine learning, representation learning, and deep learning. AI can achieve better care outcomes and improve the productivity and efficiency of care delivery. It can also improve the daily lives of healthcare professionals by allowing them to spend more time caring for patients, thereby increasing staff morale and improving retention. It can also bring life-saving treatments to market faster. At the same time, questions have been raised about the impact AI can have on patients, doctors and health systems, and about the risks it may have; There are ethical debates about how to use AI and the data that underpins it.

This EIT Health and & Company report aims to contribute to the debate on AI in healthcare, specifically how it will affect professionals and organizations. It aims to clarify the priorities and commitments of different parts of the European and external health system. The report is based on proprietary research and analysis conducted by EIT Health and & Company. This includes the Global Institute (MGI) on the future of work in the era of automation and AI, 3 “A future that works: Automation, employment and productivity”, Global Institute, January 2017; “Artificial Intelligence: The Next Frontier,” Global Institute, June 2017; “Jobs Lost, Jobs Gained: Workforce Transitions in the Age of Automation,” Global Institute, December 2017; “Skill shift: Automation and the future of the workforce”, Global Institute, May 2018; “‘Tech for good’: Technology using the healing to smooth and well-being wellness,” Global Institute, May 2019. See https:///featured-insights/future-of-work. Analyze the impact on healthcare professionals in Europe; A series of one-on-one interviews with 62 healthcare and other leaders experienced in AI and digital health, and an online survey of 175 healthcare professionals, healthcare investors, and AI startup founders and other executives. As AI in healthcare is a fast-moving field, the report offers a unique perspective from the front lines of healthcare training and innovation today and the latest insights from many stakeholders into AI’s potential, where it really is today and what it is. it holds us back.

Finally, to highlight where AI is already impacting health, the report also explores specific examples of existing AI solutions where AI could benefit in six key areas of direct patient impact and three areas of the healthcare value chain. Further scale of AI (Exhibit 1).

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In doing so, the report makes a unique contribution to the debate on the impact of AI on health in four ways: 1) a decision-maker’s view of the state of play in this fast-moving field, where only 12 months have seen developments. they are considered “old news”; 2) a robust new methodology to assess the impact of automation and AI on specific healthcare skills and activities in Europe; 3) a major review of use cases that demonstrate the potential AI is already on its way to delivering; and 4) a unique perspective from the front lines, listening to healthcare professionals, investors and startup executives, where the real potential, opportunities and obstacles lie.

The report does not attempt to cover all aspects of this complex issue, especially the ethics of AI or the management of AI-related risks, but reflects efforts on this important topic led by EIT Health and other EU institutions. While it also acknowledges the potential adverse impact of personalization on healthcare delivery and healthcare innovation (e.g. R&D) in the future (e.g. R&D), the report focuses on the impact of AI on healthcare professionals and organizations today based on available use cases. .

Finally, AI is in its infancy and its long-term effects are uncertain. The future applications of AI in health care delivery, the approach to innovation, and the way each of us thinks about our health can be transformative. We can imagine a future where population-level data from wearables and implants transforms our understanding of human biology and how medicine works, enabling real-time, personalized treatment for everyone. This report examines what is real today and what will enable innovation and adoption tomorrow, rather than exploring the long-term future of personalized medicine. Given the uncertainty surrounding the scope of emerging technologies, some near-term opportunities are clear, as are steps healthcare providers and systems can take to bring the benefits of AI innovation to the populations they serve more quickly.

What do we mean by AI in healthcare? In this report we include applications that affect care delivery, including how existing tasks are performed

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Changing health needs or the processes necessary to address them. We also include applications that enhance and enhance the healthcare service, from everyday operational improvement in healthcare organizations to population health management and the world of healthcare innovation. It is a broad definition that includes natural language processing (NLP), image analysis and predictive analytics based on machine learning. Thus, it shows a spectrum of AI solutions where codification of clinical guidelines or existing clinical protocols through a rules-based system often provides a starting point, which can be later.

Today, AI is the focus of healthcare decision-makers, governments, investors and innovators, and the European Union itself. Increasingly, governments have set their sights on AI in healthcare, with countries as diverse as Finland, Germany, the UK, Israel, China and the United States investing heavily in AI-related research. The private sector continues to play an important role, with venture capital (VC) funding for 50 health-related AI companies reaching $8.5 billion, and large tech companies, startups, pharmaceuticals and medical devices, and health insurers all attracting interest. with the emerging AI healthcare ecosystem.

Geographically, the dynamics of AI growth are changing. The United States still dominates the list of companies with the most VC funding in health AI to date, and has the most comprehensive AI-related health research and trials. But the fastest growth is emerging in Asia, particularly in China, where major domestic conglomerates and tech players are launching consumer-focused healthcare AI offerings and Ping An’s Good Doctor, a leading online health management platform, already lists more than 300 million users. Europe, on the other hand, benefits from a wealth of health data collected in national health systems and has significant strengths in terms of the number of research studies, established clusters.

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