Challenge 1: Smart Health

How to transform medical diagnostics with artificial intelligence and big data?

Health and social care systems across Europe often combine several actors from hospitals and social services, businesses, regulators/commissioners, universities and research facilities. Data is collected from multiple sources and while personalised patient information can revolutionise diagnosis and treatment, the real problem is capturing, storing and making sense of it.

Integrated medical notes, online or web-based applications, smart wearables and sensory solutions can record core patient data accurately. Using artificial intelligence, doctors and other healthcare professionals can get real-time insight into their patients’ wellbeing, even when they are not in a healthcare environment.

The SMART HEALTH challenge sets entrepreneurs the task of building new solutions that use artificial intelligence (AI) to quickly interpret large, unstructured data sets within existing regulatory frameworks, allowing healthcare professionals across the EU to improve patient care.

Big data and AI show great promise in medicine and have real potential to improve and transform health care delivery and outcomes. Currently, 80% of the existing healthcare data is created and stored in non-clinical settings (personal apps, unconnected medical devices, websites, wearables, etc).

This challenge focuses on developing novel methods to use, structure, and obtain big data and AI, and to move from limited level analysis to build and structure bigger datasets to facilitate its use in diagnostics. The proposals should ideally be cross border, at scale and fast paced.

We know for a fact that various barriers exist, from regulatory to technological. The challenge is to break down those barriers so that large datasets can be trained on ongoing basis and meaningful insights can be derived.

This challenge seeks to deliver innovative solutions for these main stakeholders: patients, regional authorities, hospitals and clinics, insurance companies.

The SMART HEALTH challenge will be addressed by the best performing solution (we aim for non-pharmaceutical solutions) as measured by the following criteria:

  • Number of countries and datasets connected;
  • Volume of algorithms created (backed by Evidence-Based Medicine);
  • Number of providers involved.

In addition, the winning solution must:

  • Be cross-border: the solution needs to connect data sets from five different countries, from at least two levels (primary care, hospital, social), and from clinical as well as non-clinical setting (apps, wearables, devices, etc.);
  • Access real-time data, not just data repositories;
  • Be used by HPCs in clinical settings, not just researchers.