PARTNER PROJECT DESCRIPTION

To obtain a much higher efficiency in monitoring and treatment of patients with chronic diseases, a number of key issues need an integrated approach and structural improvement in design and operation. First, currently patient data is only collected during treatment at the hospital or acute care centre(s) and not outside, so that data sampling is inherently fragmented, and also distributed over medical disciplines. Second, when scattered over disciplines, the data is all too often stored in different databases that are not interoperable making the deployment of decision support and analytical tools a challenge. Third, the largest portion of the time of the patient is outside the care centres, where data is not sampled or collected in a structured way making it difficult to monitor or ensure continuity of care. The previous issues are particularly important for patients with chronic diseases such as heart failure, where patient care urgently requires seamless coordination and integration between community and hospital-based care to improve both patient care and cost effectiveness of intensive chronic healthcare trajectories.

The PARTNER project will focus on the key challenges identified during the ITEA Smart Health workshop of June 2016, in particular Collaborative Care and New Acquisition Devices as well as Autonomy and Participative Care. The PARTNER project offers solutions to support the optimal patient journey for chronic diseases through the health system for appropriate personalized care. Data and information collection will be continuous, seamless, and patient-centric. Interdisciplinary health professional decision support for management choices is based on holistic and longitudinal patient data. Extension of data collection beyond the walls of hospitals, emergency departments and operating rooms into their community will enhance capturing the full depth of patient data reflecting their states of wellness and health on a more accurate basis. Fast collaborative workflows of interpreted and harmonized data representations will not only increase the productivity of the caregivers, but also better justify the patient-centric decisions.

To achieve these objectives, the project will focus on the following innovation areas:

  • Smart Solution Architecture capable of connecting to user interfaces and the multiple sources of clinical data on the back-end.
  • Novel Data Acquisition by using new low-power, wearable, and secured sensors with smart selection of suitable medical data.
  • Data Harmonization and Analytics to display the different data sources and sensible metadata, and integrate them to electronic health records.
  • Collaborative Workflow Optimization Tools to support optimal patient-health professional partnership in disease management.

The expected outcomes of the project include:

  • Next generation EHR products with clinical decision support and revised clinical workflow, enhanced by integration with additional health information.
  • Smart real-time medically approved and secure, context-based collaborative care consultation solutions.
  • Diagnostic medical imaging software working with existing backend systems.

The PARTNER project contains a mixture of project participants with the necessary diversity of expertise in clinical care, technology development, data integration, harmonization and management, who will collaborate and contribute collectively towards the realization of continuous and patient-centric care systems whilst exploiting the new economic and technical possibilities that arise from heterogeneous data integration and natural collaboration.