… It can improve the speed and accuracy in use of diagnostics, give practitioners faster and easier access to more knowledge, and enable remote monitoring and patient empowerment through self-care. AI can help remove or minimize time spent on routine, administrative tasks, which can take up to 70 percent of a healthcare practitioner’s time. Read the case study The biggest leap of all will be the need to embed digital and AI skills within healthcare organizations—not only for physicians to change the nature of consultations, but for all frontline staff to integrate AI into their workflow. The analyses in this report and the latest views from stakeholders and frontline staff reveal a set of themes that all players in the healthcare ecosystem will need to address: European healthcare providers need to assess what their distinctive role or contribution can be in introducing or scaling AI in healthcare. With AI in healthcare funding reading historic highs of $600m in equity funding ( Q2’18 ) there are huge projected equity funding deals and equity deals as the years continue. What do we mean by AI in healthcare? It is bringing a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. Nevertheless, interviewees and survey respondents conclude that over time we could expect to see three phases of scaling AI in healthcare, looking at solutions already available and the pipeline of ideas. AI has an unimaginable potential. The scale of many solutions remains small, but their increasing adoption at the health-system level indicates the pace of change is accelerating. 2. Some help improve healthcare operations by optimizing scheduling or bed management, others improve population health by predicting the risk of hospital admission or helping detect specific cancers early enabling intervention that can lead to better survival rates; and others even help optimize healthcare R&D and pharmacovigilance. They should also define the enablers they need to put in place. The Problem Of Data. The United States still dominates the list of firms with highest VC funding in healthcare AI to date, and has the most completed AI-related healthcare research studies and trials. Something went wrong. Geographically, the dynamics of AI growth are shifting. An increasing number of governments have set out aspirations for AI in healthcare, in countries as diverse as Finland, Germany, the United Kingdom, Israel, China, and the United States and many are investing heavily in AI-related research. Artificial intelligence: Potential benefits and ethical considerations, European Parliament Legal Affairs briefing, 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. It is … The adoption of artificial intelligence in healthcare has been a hot topic and rightly so. Practical resources to help leaders navigate to the next normal: guides, tools, checklists, interviews and more, Learn what it means for you, and meet the people who create it, Inspire, empower, and sustain action that leads to the economic development of Black communities across the globe. Equally, while it acknowledges the potential disruptive impact of personalization on both healthcare delivery and healthcare innovation in the future (e.g., in R&D), the report focuses primarily on the impact of AI on healthcare professionals and organizations, based on the use cases available today. It will also require well designed and integrated solutions to use existing technologies effectively in new contexts. Future of AI in Healthcare Unlocking the potential of AI depends on the availability, quantity, quality, and completeness of data that is used to train and design the AI algorithm. Use minimal essential Moving to a world in which AI can deliver significant, consistent, and global improvements in care will be more challenging. Practical resources to help leaders navigate to the next normal: guides, tools, checklists, interviews and more. Future of AI in Healthcare Unlocking the potential of AI depends on the availability, quantity, quality, and completeness of data that is used to train and design the AI algorithm. A recurring theme in interviews was that this type of AI role would not just be uncontroversial but would top of most people’s wish list and would speed up adoption. Although the field is quite young, AI has the potential to play at least four major roles in the health-care system:[1] Pushing boundaries of human performance. They highlighted the following specific strands of work that could be considered: Overall, this report highlights the excitement of Europe-wide stakeholders, healthcare professionals, investors, and innovators about the impact of AI on European healthcare, and about the thoughtful approach taken across Europe to ensure this delivers ethical and trustworthy AI. Artificial intelligence has led to significant improvements in areas of healthcare such as medical imaging, automated clinical decision-making, diagnosis, prognosis, and more. Demand is driven by a combination of unstoppable forces: population aging, changing patient expectations, a shift in lifestyle choices, and the never-ending cycle of innovation being but a few. The impact on the workforce will be much more than jobs lost or gained—the work itself will change. Unlike previous eras of excitement over AI, the potential of AI applications in health may make this era different because the confluence of the following three forces has primed our society to embrace new health centric approaches that may be enabled by advances in AI: 1) frustration with the legacy medical system, 2) ubiquity of networked smart devices in our society, 3) acclimation to convenience and at … It highlights that automation could, in fact, alleviate workforce shortages in healthcare, as demand for occupations is set to increase. These technologies have the potential to transform many aspects of patient care, as well as administrative processes within provider, payer and pharmaceutical organisations. For instance, Google Health has developed a program that can predict the onset of acute kidney injury up to two days before the injury occurs; compare that to current medical practice, where the injury often isn’t noticed until after it happens. Imagine being able to analyze data on patient visits to the clinic, medications prescribed, lab tests, and procedures performed, as well as data outside the health system -- such as social media, purchases made using credit cards, census records, Internet search activity logs that contain valuable health information, and you’ll get a sense of how AI could transform patient care and diagnoses. If you would like information about this content we will be happy to work with you. Technology applications and apps encourage healthier behaviour in individuals and help with the proactive management of a healthy lifestyle. Global Strategy on human resources for health: Workforce 2030, World Health Organization, 2016, https://www.who.int/ hrh/resources/pub_globstrathrh-2030/en/. See. Earlier, healthcare companies strictly followed an ‘innovate-manufacture-sell’ model. The strides made in the field of AI in healthcare have been momentous. Artificial intelligence (AI) has the potential to transform how healthcare is delivered. Assuming it’s been loaded with all the relevant data, an AI-equipped product has the potential to sift through disease data, clinical studies, medical records, genetic information and even a patient’s health records far quicker and more efficiently than … This does not reflect the potential for further disruption through other factors, such as personalization, that may revolutionize healthcare by focusing on a “segment of one.”. 4. In this report we include applications that affect care delivery, including both how existing tasks are performed and how they are disrupted by changing healthcare needs or the processes required to address them. With AI being so powerful, there are many in medicine who fear losing their job to an AI … Benefits of Artificial Intelligence in healthcare: The future of the healthcare sector has the potential with the implementation of the AI. Moreover, AI … “A future that works: Automation, employment and productivity,” McKinsey Global Institute, January 2017; “Artificial intelligence: The next frontier,” McKinsey Global Institute, June 2017; “Jobs lost, jobs gained: Workforce transitions in a time of automation,” McKinsey Global Institute, December 2017; “Skill shift: Automation and the future of the workforce,” McKinsey Global Institute, May 2018; “‘Tech for good’: Using technology to smooth disruption and improve well-being,” McKinsey Global Institute, May 2019. AI in Africa healthcare falls short of potential Continent faces obstacles of infrastructure and ethics In charts: healthcare technology in low-income countries The potential for AI in healthcare is tremendous as it increasingly becomes integrated into the healthcare ecosystem. Interviewees and survey respondents were clear on the potential impact of the European Union in helping deliver the promise of AI, faster and at a greater scale for Europe’s population. AI has immense potential in the healthcare industry owing to its ability to leverage raw data sets and extracting insights out of it. Healthcare spending is simply not keeping up. Redesign workforce planning and clinical-education processes to address the needs of both future healthcare and AI-focused professionals; and invest upfront in upskilling frontline staff and designing lifelong-learning programs through continuing professional development and degrees or diplomas for healthcare professionals. Unleash their potential. For example, medical leaders will have to shape clinically meaningful and explainable AI that contains the insights and information to support decisions and deepen healthcare professionals’ understanding of their patients. AI is now top-of-mind for healthcare decision makers, governments, investors and innovators, and the European Union itself. It’s a broad definition that covers natural language processing (NLP), image analysis, and predictive analytics based on machine learning. Using computers to communicate is not a new idea by any means, but creating direct interfaces between technology and the human mind without the need for keyboards, mice, and monitors is a cutting-edge area of research that has significant applications for some patients.Neurological diseases and trauma to the nervous system can take away some patients’ abilities to speak, move, and interact meaningfully with people and their enviro… The final effect on the workforce will be the introduction of new professionals. For instance, Google Health has developed a program that can predict the onset of acute kidney injury up to two days before the injury occurs; compare that to current medical practice, where the injury often isn’t noticed until after it happens. Exhibit 2 shows the share of hours currently worked that could be freed up by automation by 2030 for a wide range of healthcare occupations in selected European countries. Managing such patients is expensive and requires systems to shift from an episodic care-based philosophy to one that is much more proactive and focused on long-term care management. Reinvent your business. Incomplete medical histories and large case loads can lead to deadly human errors. We strive to provide individuals with disabilities equal access to our website. Stanford University. Faced with the uncertainty of the eventual scope of application of emerging technologies, some short-term opportunities are clear, as are steps that will enable health providers and systems to bring benefits from innovation in AI to the populations they serve more rapidly. They need to take stock of their capabilities, level of digitization, availability and quality of data, resources and skills and then define their level of ambition for AI as it fits with their strategic goals. … Designers specializing in human-machine interactions on clinical decision making will help create new workflows that integrate AI. At the same time, questions have been raised about the impact AI could have on patients, practitioners, and health systems, and about its potential risks; there are ethical debates around how AI and the data that underpins it should be used. Artificial intelligence has led to significant improvements in areas of healthcare such as medical imaging, automated clinical decision-making, diagnosis, prognosis, and more. This will all require bringing new activities and skills into the sector, and it will change healthcare education—shifting the focus away from memorizing facts and moving to innovation, entrepreneurship, continuous learning, and multidisciplinary working. Imagine being able to analyze data on patient visits to the clinic, medications prescribed, lab tests, and procedures performed, as well as data outside the health system -- such as social media, purchases made using credit cards, census records, Internet search activity logs that … For example, a 39 percent increase in all nursing occupations is expected by 2030, even allowing for the fact that approximately 10 percent of nursing activities could be freed up by automation. Artificial intelligence: Potential benefits and ethical considerations, European Parliament Legal Affairs briefing, 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. Please email us at: McKinsey Insights - Get our latest thinking on your iPhone, iPad, or Android device. Most transformations fail. Building on automation, artificial intelligence (AI) has the potential to revolutionize healthcare and help address some of the challenges set out above. 1. We need not only to attract, train and retain more healthcare professionals, but we also need to ensure their time is used where it adds most value—caring for patients. California Last, to highlight where AI is already having an impact in healthcare, the report also looks at detailed examples of existing AI solutions in six core areas where AI has a direct impact on the patient and three areas of the healthcare value chain that could benefit from further scaling of AI (Exhibit 1). We are in the very early days of our understanding of AI and its full potential in healthcare, in particular with regards to the impact of AI on personalization. Artificial intelligence has been playing a critical role in industries for decades. European investment and research in AI are strong when grouped together but fragmented at the country or regional level. "For the first time, computing power allows us to … The use of AI and the Internet of Medical Things (IoMT) in consumer health applications is already helping people. We can imagine a future in which population-level data from wearables and implants change our understanding of human biology and of how medicines work, enabling personalized and real-time treatment for all. We see AI as a potential differentiator, and we are encouraged to see more life sciences companies tap into this technology to improve process efficiency. But in order to tap the true potential of AI in healthcare… AI can be applied to various types of healthcare … The company’s AI-powered chatbot streamlines the review of a patient’s symptoms, then recommends either a virtual check-in or a face-to-face visit with a healthcare … Stanford, Artificial intelligence (AI) aims to mimic human cognitive functions. Despite its potential to unlock new insights and streamline the way providers and patients interact with healthcare data, AI may bring not inconsiderable threats of privacy problems, ethics concerns, and medical errors. 94305. By 2050, one in four people in Europe and North America will be over the age of 65—this means the health systems will have to deal with more patients with complex needs. "We have lots of data that we've been collecting over decades," he says. Although the field is quite young, AI has the potential to play at least four major roles in the health-care system:[1] Pushing boundaries of human performance. The benefits of AI in the healthcare industry are vast and varied but to realize their full potential we would need to overcome some key infrastructure challenges. It is bringing a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. While evidence of the potential benefits of AI applications in healthcare mount and funding pours into the space, a number of challenges to widespread adoption and … People create and sustain change. First, solutions are likely to address the low-hanging fruit of routine, repetitive and largely administrative tasks, which absorb significant time of doctors and nurses, optimizing healthcare operations and increasing adoption. Artificial Intelligence. Address AI regulation, liability and funding issues, creating the right environment for appropriate, safe and effective AI solutions to be adopted but minimizing the risk to practitioners. Stanford Center for Professional Development, Entrepreneurial Leadership Graduate Certificate, Energy Innovation and Emerging Technologies, Essentials for Business: Put theory into practice, Identify problems healthcare providers face that machine learning can solve, Analyze how AI affects patient care safety, quality, and research, Relate AI to the science, practice, and business of medicine, Apply the building blocks of AI to help you innovate and understand emerging technologies. According to Frost & Sullivan, AI systems are projected to be a $6 … We use cookies essential for this site to function well. ©Copyright Yet, at the same time, valuable data sets are not linked, with critical data-governance, access, and security issues still needing to be clarified, delaying further adoption. There are several definitions of AI, but this report draws from a concise and helpful definition used by the European Parliament, “AI is the capability of a computer program to perform tasks or reasoning processes that we usually associate with intelligence in a human being.” Big data is dominant throughout all sectors of industry across the globe. But in order to tap the true potential of AI in healthcare, several major challenges must be overcome: Although AI possesses the … The report does not attempt to cover all facets of this complex issue, in particular the ethics of AI or managing AI-related risks, but does reflect the efforts on this important topic led by EIT Health and other EU institutions. 2 In light of that, the promise of improving the diagnostic process is one of AI's most exciting healthcare applications. Artificial intelligence (AI) is transforming the way we interact, consume information, and obtain goods and services across industries. 1 AI thrives … Additionally, AI increases the ability for healthcare professionals to better understand the da… Clinical engagement will also be required in product leadership, in order to determine the contribution of AI-based decision-support systems within broader clinical protocols. analyzing the impact on healthcare practitioners in Europe; a series of one-to-one interviews with 62 healthcare and other leaders with experience in AI and digital health, and an online survey of 175 healthcare professionals, healthcare investors, and AI startup founders and other executives. The report draws on proprietary research and analyses undertaken by EIT Health and McKinsey & Company. Learn more about cookies, Opens in new In other data-rich areas, such as genomics, new professionals would include ‘hybrid’ roles, such as clinical bioinformaticians, specialists in genomic medicine, and genomic counsellors. Global strategy on human resources for health: Workforce 2030, World Health Organization, https://www.who.int/hrh/ resources/pub_globstrathrh-2030/en/, 2016; Healthcare personnel statistics - nursing and caring professionals, Eurostat, 2019, https://ec.europa.eu/eurostat/statistics-explained/index.php/Healthcare_personnel_statistics_-_nursing_and_ caring_professionals#Healthcare_personnel. AI in Africa healthcare falls short of potential Continent faces obstacles of infrastructure and ethics In charts: healthcare technology in low-income countries All these themes were echoed by the healthcare professionals in the survey, who listed the top three things healthcare organizations could do, as: bringing together multidisciplinary teams with the right skills, improving the quality and robustness of data and identifying the right use cases. The potential for automation is different to the likelihood of adoption. AI can lead to better care outcomes and improve the productivity and efficiency of care delivery. Of these, the implications from an aging population stand out. The World Health Organization estimates overall demand for healthcare workers to rise to 18.2 million across Europe by 2030 and, as an example, states that the current supply of 8.6 million nurses, midwives, and healthcare assistants across Europe will not meet current or projected future need. In doing so, the report provides a unique contribution to the debate on the impact of AI in healthcare in four ways: 1) decision makers’ view of the state-of-play in this fast-moving field, where developments from just 12 months ago are considered “old news”; 2) a robust new methodology to evaluate the impact of automation and AI on specific skills and activities in healthcare in Europe; 3) a substantial review of use cases that illustrate the potential that AI is already on track to deliver; and 4) a unique view from the frontline, hearing from healthcare professionals, investors and startup executives on where the real potential, opportunities and barriers lie. This includes work by the McKinsey Global Institute (MGI) on the future of work in the era of automation and AI, Define use cases to support through targeted funding and incentives to enable scaling of AI solutions across the system; ensure these deliver against both clinical and operational outcomes. Our working definition of AI in healthcare in this work is deliberately broad; it includes a functional continuum from the application of rules-based systems through to cutting-edge methodologies that include classic machine learning, representation learning, and deep learning. AI has the potential to improve healthcare in many areas such as diagnosis, screening, knowledge generation, population health, prevention and personalised medicines, to name but a few. It also highlights that this is only the latest view across Europe and internationally—speed is of the essence if Europe is to continue playing a leading role in shaping the AI of the future to deliver its true potential to European health systems and their patients. Implementation of AI in healthcare requires addressing ethical challenges such as the potential for unethical or cheating algorithms, algorithms trained with incomplete or biased data, a lack of … According to Frost & Sullivan, AI systems are projected to be a $6 billion dollar industry by 2021 1 . This scaling up of AI deployment would be fuelled by a combination of technological advancements (e.g., in deep learning, NLP, connectivity etc.) AI has the ability to analyze big data sets – pulling together patient insights and leading to predictive analysis. In the third phase, we would expect to see more AI solutions in clinical practice based on evidence from clinical trials, with increasing focus on improved and scaled clinical decision-support (CDS) tools in a sector that has learned lessons from earlier attempts to introduce such tools into clinical practice and has adapted its mind-set, culture and skills. 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