Over the past few months we have been developing ten predictions for our report, 'The future unmasked: Predicting the future of healthcare and life sciences in 2025'. The predictions are brought to life through a number of'portraits' imagining what the experience of individuals might look like in 2025, together with examples of the evidence available today to predict tomorrow. We also consider the key constraints that will need to be overcome to realise our view of the future and look at the impact that the COVID-19 pandemic is having on shaping each prediction. This week, we have launched the first two of our ten predictions: 'From health(care) to healthy ageing', and'Better public health drives better productivity'. This week's blog provides a short history of the evolution of our predictions reports and selected highlights from our first two predictions.
Dave Ryan leads the Global Health & Life Sciences business unit at Intel that focuses on digital transformation from edge-to-cloud in order to make precision, value-based care a reality. His customers are the manufacturers who build life sciences instruments, medical equipment, clinical systems, compute appliances and devices used by research centers, hospitals, clinics, residential care settings and the home. Dave has served on the boards of Consumer Technology Association Health & Fitness Division, HIMSS' Personal Connected Health Alliance, the Global Coalition on Aging and the Alliance for Connected Care. What is Intel's Health & Life Sciences Business? Intel's Health & Life Sciences business helps customers create solutions in the areas of medical imaging, clinical systems, and lab and life sciences, enabling distributed, intelligent, and personalized care.
The covid-19 pandemic has shown us how much health care is in need of not just tweaking but radical change. The pressure on global health systems, providers, and staff has already been increasing to unsustainable levels. But it also illustrates how much can be achieved in times of crisis: for example, China and the UK recently built thousands of extra beds in intensive care units, or ICUs, in less than two weeks. Health-care reform will need to spur a totally different approach to how care is organized, delivered, and distributed, which will be paramount in a (hopefully soon) post-covid-19 era. It's the only way to deliver the quadruple aim of health care: better outcomes, improved patient and staff experience, and lower cost of care.
The COVID-19 pandemic has undeniably showcased new ways of delivering care to patients within the NHS, not least through the increased use of digital, technological and AI-based healthcare solutions. The immediacy and necessity of the response paved the way for health tech adoption at a pace unencumbered by prior levels of red tape and underpinned by a desire to work in'new' ways for what was a'new' challenge at the time. Technological innovation has supported health services in numerous ways, including with making significant decisions around capacity and priorities, through the increased remote monitoring of patients, and by allowing more effective communication among the workforce. Having said this, the long-standing barriers to innovation faced by health tech companies have not been, and are unlikely to be, substantially dismantled. While the market access landscape has evolved for companies over recent years, with a number of positive initiatives within the national architecture acting as a'pull' for innovation, the adoption challenge largely remains entrenched.
Artificial intelligence (AI) is a generic phrase used to describe computer systems that can analyze their environment. These systems can learn and act in reaction to what they are recognizing. It is predicted that 20% of healthcare organizations will experience 15-20% productivity gains by 2021 through the use of AI technologies. Machine intelligence has a beneficial effect on the healthcare workforce, not by replacing jobs, but by acting as a co-pilot in treatment and routine processes. AI is an indispensable assistant to verify patient insurance or improve clinical documentation.