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Professorship Personalised Digital Health:

Explore the potential of eHealth and data science in promoting self-management and improving health outcomes. Learn about the development of a virtual coach and personalized feedback tools.

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Professorship Personalised Digital Health:

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  1. Professorship Personalised Digital Health: Working on self management with technology and data science Hilbrand Oldenhuis

  2. Health: ‘Health is a state of complete physical, mental and social well-being and not merely the absence of disease or infirmity.’ (WHO, 1948) Who is healthy…? What is the aim of health care…?

  3. Health: Now: ‘The ability to adapt and self manage in the face of physical, emotional and social challenges of life.’ (Huber et. al., 2011) flexible, dynamic Illness or constraint does not necessarily mean ‘unhealthy’

  4. Health: Core concepts: • Self management • Focus at functioning in daily life instead of on illnes and constraints • Resilience • Multidisciplinarity: Healthcare and social work more and more intertwined

  5. Focus at self management: • How to stimulate self management? eHealth: ‘an attempt to enhance health or health service delivery through use of modern information technology and electronic communication resources’ (Glasgow & Solomon, 2014)

  6. Focus at self management : • eHealth is promising because of 2 (related) reasons: • Patient/consumer is less dependent of (health care) professionals for obtaining relevant information

  7. Example: www.thuisarts.nl

  8. Example: self-tracking devices

  9. Focus at self management: eHealth is promising because of 2 (related) reasons : • Patient/consumer is less dependent of (health care) professionals for obtaining relevant information • eHealth tools can support patients/consumers (‘personalized’) to behave healthy and in doing so make them less dependent of (health care) professionals in the short as well as in the long run Persuasive technology

  10. Behavior Model (Fogg, 2009)

  11. Focus at self management: Next step: Using data science: ‘Ecological Momentary Assessments and Interventions’

  12. Personalized Digital Health

  13. Core project PDH Development of ‘virtual coach’: ‘a computational system that assists the user to support behavior that is desired to improve health or well-being’

  14. Integration of Knowledge Domains Personalization oftriggers: context &timing Experimentswith Coaching Strategies

  15. Coaching Strategy Platform Data Storage Personalized Feedback (Advice, EMA, Goal) Lifestyle & Health Data Platform Analysis Clustered Big Data Storage Big Data Analysis (Predictive, Change, Classification, …) Collect Compare Filter Summarize Time Series Coaching Feedback Rules Query Engine (MapReduce) Learn from previous patterns Feedback/EMA Templates LOG BOOK

  16. ProfessorshipPersonalised Digital Health Focus: • Supporting professionals • Fit for sustainable employability (FIT4SE): focus on employees • Vulnerable groups

  17. Applications: • ‘Fit for sustainable employability (FIT4SE) • Functional Fitness Monitor for firemen (Johan de Jong)

  18. Functional Fitness Monitor • Holistic approach (physical-mental-social) • Test- and measurement technology individual • Monitor-feedback + coaching-effect measures (week on, week off) • Zephyr (HF-HRV-BF) • Actigraph (physical activity + sleep) • Digital questionnaires BORG/mindfulness…(smartphone) (privacy, feasibility, pilot)

  19. Functional Fitness Monitor • Holistic approach (physical-mental-social) • Test- and measurement technology individual • Monitor-feedback + coaching-effect measures • Zephyr (HF-HRV-BF) • Actigraph (physical activity + sleep) • Digital questionnaires BORG/mindfulness…(smartphone) (privacy, feasibility, pilot)

  20. Feedback

  21. Applications: • ‘Fit for sustainable employability (FIT4SE) • Personalized physical activity coaching for employees

  22. Fit for Sustainable Employability (Het Nieuwe Werken HG) Personalized physical activity coaching: a machine learning approach (submitted) personalized-coaching 10.000 Personalized Model Algorithm Training Corresponding author: T.B. Dijkhuis, HUAS

  23. Applications: • ‘Fit for sustainable employability (FIT4SE) • Predictive modelling of employees’ resilience using wearable technology (Herman de Vries) • Development of stress prevention app for employees working with digital screen equipment (Aniek Lentferink) • Based on self-tracking (heart rate, experience sampling) and e-coaching

  24. Applications: • ‘Fit for sustainable employability (FIT4SE) • Living lab ‘Healthy Workplace’ (http://www.healthy-workplace.nl/): ‘real-life’ office in which a lot of data is being gathered (behavior, environment, performance) (Justin Timmer, Marion Dam, Jan Gerard Hoendervanger) • How can we make sense of the data? And how does that improve employees’ sustainable employability?

  25. Applications: Focus on professionals: • Development of app LIV for mental health care professionals (Jessica van der Staak) • Based on positive psychology • Combined with data concerning life style

  26. Cooperation: Within HUAS many professorship working together with PDH: • Nursing • Sport sciences • Allied Health Care • Facility Management • New Business & ICT • User-Centred Design

  27. Name: Hilbrand Oldenhuis Function: Professor Personalised Digital Health, Hanzehogeschool Email: h.k.e.oldenhuis@pl.hanze.nl

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