Prof. Syed Sibte Raza Abidi
Innovations in digital health are purporting a paradigm shift in terms of lifetime healthcare for all. The innovation trend we are witnessing is a digital health based patient-centered eco-system to monitor, assess, remind, alert, educate, guide and assist individuals to (a) prevent the onset of lifestyle and chronic diseases, (b) predict the prevalence of chronic diseases based on genomic and lifestyle parameters, and (c) personalize healthcare plans for maximum efficacy and outcomes. At the heart of this paradigm shift is our enhanced ability to collect and analyze ‘big’ health data collected from consumer health devices, mobile devices, smart environments, social media and clinical encounters. However, as we continuously extend our ability to work with heterogeneous health data, it is equally important to develop our ability to interpret and contextualize data-driven analysis in order to make clinically relevant and efficacious decisions. This calls for a systematic symbiosis between data analytics and knowledge analytics frameworks—i.e. developing data-driven predictive models, formulating knowledge-centric healthcare models computerizing clinical guidelines, pathways and decision algorithms and then integrating the health data- and knowledge-driven perspectives to achieve an evidence-based and practice-informed patient-centered eco-system capable of delivering preventive, predictive and personalized healthcare. This talk will cover health data analytics and health knowledge management initiatives, and highlight practical frameworks for lifetime disease self-management, behaviour modification and clinical decision support to both empower physicians and engage patients in pursuing lifetime healthcare for all.