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Ali Daowd

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  • OS20 - Consumer Health Advances (ID 26)

    • Event: e-Health 2017 Virtual Meeting
    • Type: Oral Session
    • Track: Clinical and Executive
    • Presentations: 1
    • Coordinates: 6/06/2017, 01:00 PM - 02:00 PM, Room 205D
    • OS20.01 - A Personalized Risk Investigation, Stratification and Mitigation (PRISM) Health Platform (ID 199)

      Ali Daowd, Computer Science, Dalhousie University; Bedford/CA

      • Abstract
      • Slides

      Purpose/Objectives: Chronic diseases such as cardiovascular disease, chronic respiratory disease, diabetes, and cancers are the leading causes of morbidity and mortality in the world. Also, the high prevalence of chronic diseases has led to a rise in number of people with multiple chronic disease (comorbidities), which is the co-existence of two or more diseases. The risk factors of chronic diseases are well known and established, whereby most chronic diseases share a common set of modifiable and non-modifiable risk factors. Therefore, chronic diseases are largely preventable by means of early and effective interventions that target the modifiable risk factors, such as unhealthy diet, physical inactivity, and smoking. Chronic disease risk prediction algorithms are becoming more common in healthcare and can assist individuals in evaluating their risk of developing a chronic disease. In this research, we investigate a digital health-based framework for citizens to monitor their risk for chronic conditions. Our idea is to model and computerize a range of validated chronic risk assessment algorithms and questionnaires. With personal health data as input, the model will assess the citizen’s risk of the common chronic diseases and accordingly categorize them into different risk categories of chronic diseases for subsequent treatment options. An important aspect of the research is to investigate the integration of multiple risk scores (for multiple chronic diseases) into a single risk scale to provide an assessment of the individual’s overall health status and risk of comorbidities. We propose to develop a health-based dashboard that can provide an individual with an up-to- date account of their health status with respect to the common chronic diseases. The objective of this research is to provide individuals with the necessary tools and resources to evaluate their risk of chronic disease, risk of comorbidities, overall health status and informing them how to manage their health and modify risky behaviours to prevent the occurrence of chronic diseases.

      Methodology/Approach: The process of developing the health-based web tool is based on an iterative approach and informed by evidence-based research, clinical practice guidelines, and patient-centered care models. We use a knowledge management approach to model, computerize, and integrate a number of validated chronic disease risk assessment algorithms to generate personalized health risk profiles.

      Finding/Results: The result was the development of Know Your Risk health dashboard – a health-based web tool for citizens to monitor and evaluate their overall health status and risk of the common chronic diseases. We plan to conduct a usability study by testing Know Your Risk dashboard with representative users to determine how they will interact with the dashboard. We will collect and analyze qualitative and quantitative data throughout the study to identify any issues of usability from a user’s perspective.

      Conclusion/Implications/Recommendations: The overall aim of this research is to develop a digital health-based framework to support the lifetime healthcare of citizens and engaging them in proactive care to prevent the occurrence of chronic diseases. By providing the necessary tools and resources across the continuum of care, we intend to empower citizens in monitoring and managing their health.

      140 Character Summary: Know Your Risk health dashboard provides individuals with the necessary tools and resources to monitor and evaluate their health status and risk of chronic diseases

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