NNL.20.012 – My Digital Twin: Making healthy living rewarding for the benefit for all
By 2030, barring intervention, a huge proportion of the Dutch population will be at risk or diagnosed with cardiometabolic disease (i.e., cardiovascular disease, diabetes type 2, chronic kidney disease). Engaging in a healthy lifestyle is key for reducing risk factors for cardiometabolic disease. Yet, the large majority of patients do not succeed in adopting a healthy lifestyle, despite the availability of a plethora of lifestyle tools and interventions. This project addresses two major challenges for effectiveness of current interventions that are especially detrimental for vulnerable populations with or at risk for cardiometabolic disease: (1) Integration of behaviour change techniques with the focus on the power of anticipated future rewards, (2) In-depth personalization to tailor lifestyle interventions to each patients’ unique psychobiological and environmental characteristics. We will create an innovative human-centered AI-Digital Twin that utilizes a unique combination of heterogenous data sources (e.g., data from wearables, psychobiological characteristics, personal preferences, responsiveness towards interventions). My Digital Twin for healthy living uses self-learning algorithms to optimize the patient journey towards healthy living for each unique individual over time by (a) unlocking interventions and support tools from public and private parties, (b) smart delivery of personalized rewards that are based on anticipated future rewards and expectancy learning (e.g. ‘future me’ personas).
Our ecosystem consortium unites researchers from more than 10 disciplines, societal partners (e.g., patient foundations, healthcare providers, health services), and private partners (e.g., technology providers, insurance companies). My Digital Twin is developed in participatory co-creation with patients and other stakeholders, with special attention to needs of vulnerable patients. We employ nationwide living labs across primary, secondary and tertiary care to assess (cost)effectiveness and to ensure implementation. My Digital Twin will achieve substantial health and cost savings, and reduce health inequities.
behavior change, chronic diseases, datadriven personal models, Digital Twin, healthy living, personalization, placebo, rewards
|Organisation||Leiden University (LEI)|
|Name||Prof. A.W.M. (Andrea) Evers|