Healthcare faces many challenges like improving patient outcome and working more cost effectively while the demand is growing, staff capacity is declining and new clinical and technological developments succeed each other quickly.
A paradigm shift is needed towards a true value-based and patient-centric healthcare. The shift can be realized by steering health systems towards:
1) Industrialization of care: standardizing and optimizing the building blocks of healthcare to enable health systems to deliver better outcomes at lower cost.
2) Personalization of care: the convergence of professional healthcare and consumer health, enabled by data and digitalization, leading to increasing self-management and individualized treatment paths.
The ITEA3 IMPACT project (https://itea3.org/project/impact.html) will address these challenges by leveraging and harnessing the power of data by building on preceding ITEA projects like MEDIATE and BENEFIT to add the next logical step: from evidence based towards intelligence based healthcare (see Figure 1).
Figure 1: IMPACT as the next logical step: From evidence based to intelligence based healthcare
To achieve intelligence based healthcare the IMPACT project will promote automatic data collection and artificial intelligence throughout the complete clinical pathway, i.e., from hospitalization to patient release:
- Personalized treatment planning for optimal treatment of each individual patient and thereby improve patient outcome and cost efficiency. This is only possible when all relevant data available is made available and analysed intelligently using e.g. Artificial Intelligence, Machine Learning, Deep Learning, etc.
- Industrialized treatment to reduce preventable medical error and improve predictability and efficiency of clinical procedures. Reproducibility is key which can be accomplished by robotic tools, real-time navigation imaging and strictly adhering to medical guidelines and protocols.
- Workflow optimization at various levels (hospital, room, table side) to remove waste and inefficiency in the healthcare system. This is done by intelligent data-driven analysis (e.g. Deep Learning) taking into account all relevant data streams to take the right decision at the right moment concerning the patient, the staff and the equipment.
The IMPACT consortium covers all healthcare stakeholders with a good balance between research oriented partners, technology suppliers, industrial end product suppliers and clinical end users.