Language and knowledge technology for interpreting medical data sources

Project scope and impact

Project scope

PatientMiner addresses the societal challenge of improving healthcare while focusing on the business challenge of healthcare systems, treating and managing chronic diseases. PatientMiner generates new capacities and understanding based on disease trajectories and health trajectories. Timewise aggregation of chronic diseases events along individual lifespan generates trajectories [Jensen et al., 2014 ; Barnett et al., 2012]. PatientMiner will facilitate and prioritise the understanding of the progression and evolution of these trajectories, and map the path taken by individual’s health throughout disease events.
PatientMiner adapts an existing IT system for mapping pathways of disease progression towards life-threatening conditions in patients with multimorbid chronic diseases to better understand their trajectories, identify early intervention and improve delivery of care in aging populations.

PatientMiner will provide players in the medical domain (especially ones dealing with hospitals) with a semantic data analysis platform offering new ways and methods for text understanding, together with a user-friendly interface and expert tools. This platform will be easily and cost-effectively deployed, permitting the assessment of the validity of the innovative semantic data analysis approach.

Number of chronic disorders by age-group [Barnett et al., 2012]


Economy will benefit with real opportunities to launch integrated and personalized healthcare services especially on management of complex medical situations, e.g. various chronic diseases (comorbidity), chronic malignant and non-malignant disorders. This innovative way of using semantic technologies in the healthcare market can generate large revenues for players in that domain. More than ever healthcare providers need new strategies to support their long-term impact. Treating information as an asset – and extracting insights from clinical data – is critical to understanding and improving the health systems’ performance. By improving the ability to capture and use information, health systems can better advance their strategic goals and offer better, cheaper and personalized healthcare services. Patients will be the final beneficiaries of such a system based on semantic technologies, as it will be able to continuously trace and “understand” their own personalized health data with regard to comorbidity providing them with improved personalized treatments.