Big Data and machine learning, the Internet of Things as well as mobile patient platforms are starting to change every day healthcare practice. As a result, the industry is facing a second wave of digitalization, sometimes also referred to as “Healthcare 4.0”. Digitalization is no longer just a technical aspect – as in saving imaging and laboratory data in electronic medical records, for example. Instead, it now is shaping the management and design of complete healthcare processes and affecting healthcare providers’ business models. This was illustrated by specific examples presented at the Healthcare Business International 2017 conference in London.1
The development is driven by the fact that, in a wide variety of areas, enormous amounts of data are now available, while at the same time storage and computing costs are decreasing drastically and artificial intelligence methods advance. In the health sector – which according to experts still has a significant digitalization deficit compared to other industries – this should lead to drastic changes in coming years.2
“So far, digital and analytics has been more hype than reality in healthcare,” Nicolaus Henke, Senior Partner at McKinsey, remarked in a keynote presentation at the London conference.3 “But it is definitely coming.” Possible applications range from more precise risk assessment by health insurance companies to predicting hospital readmissions for individual patients to the prognosis of complicated disease courses, such as septicemia. “Healthcare providers will increasingly need mathematicians to translate business needs into analytics language and capture the value of data,” says Henke. “This will lead to a new way of working.”