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WellDoc System
Virtual Patient Coach • Tailored and personalized, real-time
coaching • Monitoring and medications
reminders • Out of bounds alerts • Metabolic target ranges
Social Support • Family and community connectivity • Caregiver alerts and support
Clinical Decision Support • Outcomes-based support • EMR/EHR integration • Clinical analysis and trends • Patient stratification • Population management
Reference Study Characteristics Intervention Results
Quinn et al, 2008
Pilot Study
RCT
Adult type 2 diabetes patients
Community physician practices
(n=30)
3 months
Patient Coaching: •Real-time feedback on BG levels, nutrition, lifestyle and self-management •Guided compliance TM for BG checking Clinical decision support: •Displayed recommendations for medication regimens •View of patient logbook •Analysis of patient data and trends Analytics: •Hypo and hyperglycemia treatment algorithms
Mean A1C reduction = 2.03% (p>.02) 84% vs. 23% of physicians more likely to titrate/add drugs (p>.002)
Quinn et al, 2011
Cluster RCT
Adult type 2 diabetes patients
Community primary care practices
(n=163)
1 year
Patient Coaching: •1000+ automated real-time educational, behavioral, and motivational messaging •Virtual Case Manager messages based on longitudinal data trends •Action plan every 2.5 months •Patient web portal: Message center, learning library, Personal Health Record, logbook view Clinical decision support: Provider portal: Access patient data summary and relevant evidence-based guidelines Analytics: •Hypo and hyperglycemia treatment algorithms
Mean A1C reduction = 1.9% (P < 0.001)
Katz et al, 2012
Demonstration Project
Adult type 2 diabetes Medicaid patients
community clinic the primary care setting
(n=32)
1 year
Patient Coaching: •Real-time feedback on BG levels, nutrition, lifestyle and self-management •Weekly Case Manager messaging Clinical Decision Support Patient Summary: BG readings, SOC measure status, lab values and current medications in patient chart Analytics: •Hypo and hyperglycemia treatment algorithms
ER visits reduced by ~50%
Hospitalizations reduced by 100%
Demonstrated outcomes
Challenge
Develop a behavior design approach that:
• Supports multiple “service delivery models”
• Delivers integrated clinical and behavioral intervention development
• Covers behavioral support for 80% of chronic disease self-management
• Facilitates systematic translation and operationalization of research into products
• Provides a flexible, scalable, replicable process for behavior design
• Iterative
• Reviewed range of research to identify both the WHAT and the HOW
• Validated and refined the framework with new product development
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