1. The Solution to the Spinal Disability Crisis?
Biometric Technology
The Solution to the Spinal Disability Crisis?
Rick Hu, MD,FRCSC
Clinical Professor,
Spinal and Orthopaedic Surgery, University of Calgary
Medical Director, co-Founder CaleoHealth
CEO/Founder Vivametrica

2. Vivametrica Leadership
Rick Hu, MD
CEO/Founder
Christy Lane
Co-Founder/COO
Matt Smuck, MD
Co-Founder/Dir. of Research
25 Year experience with Population Health research using large scale Administrative Datasets to determine health characteristics and injury patterns
Associate Professor, Mt.Royal University
Exercise Scientist. Expert in Physical Activity and Health Assessment. Award winning researcher
Associate Professor, Stanford University - Chief of Rehabilitation Medicine, Stanford, Expert in Physical Activity and Musculoskeletal status. Director of the Stanford Wearable Health Lab 2

3. Digital Biomarkers

4. Wearable Tech

5. Where We Are With Wearable Tech
Rapidly advancing
Health Risk assessment
Injury and disability assessment
Evolution into Predictive Analytics
Wearables
Will increase continue to increase for several years

6. The Blind Men and the Elephant
J.G. Saxe – 1826 – 1887

7. Economy
Psyche
Anatomy

8. Perceived vs. Objective Change
Self Reported
Step Count
After
Before
Tomkins-Lane et al. Arch Phys Med Rehabil Nov;93(11):

9. Random Normal Vs. vs. “Ceiling” effect Stenosis Diagnosis
Uninterrupted walking
Random
Vs.
“Ceiling” effect
Steps
Normal
vs.
Stenosis
Time Segments
Steps
Time Segments
Tomkins-Lane CC, Haig AJ. Journal of Back and Musculoskeletal Rehabilitation

10. Relationship between low back pain, performance & obesity
Risk Assessment
Relationship between low back pain, performance & obesity
Increased BMI is a risk factor for low back pain
Physical activity (performance) mitigates back pain risk – more so in overweight and obese
Small increases in activity have large impact on risk

11. Disease/Injury Monitoring/Management
High Threshold
Average Steps
Steps
Low Threshold
Time Post Injury/Post Surgery
Tomkins-Lane CC, Haig AJ. Journal of Back and Musculoskeletal Rehabilitation

12. Predictive Analytics High Threshold Health Status Activity Average
Low Threshold T1 T2
Time

13. Lifestyle and Symptom Modification
Significant improvements:
Fat mass & trunk fat mass
Max continuous activity
Symptom severity
Mental health
Caloric intake

14. Vivametrica –Scalable Software Platform
DATA Management Reference Population Data – Valid Comparisons to “LIKE” groups in the whole population
DATA INPUT
DATA AGNOSTIC/DEVICE AGNOSTIC
Wearable and other DATA inputs, Device Agnostic, Standardized, Individualized
API
Flexible Outputs
Incorporated into Health APPs, Mobile Insurance APPs, Online quote engines, Underwriting automation processes
Personalized Risk Measures
output to support products and services. Chronic illness, Mood measures, Chronic Pain,
Analysis Engine
Health and Risk estimates Specific to Age/Gender matched groups in the whole population
Information
Data Insight
Action
Vivametrica’s analytics and services provided via secure web access or through API to allow maximal flexibility 14

15. Vivametrica Analyses POPULATION REFERENCE DATA SETS
>200,000 individuals in “normally” distributed population
Socioeconomic, Biometric, Activity, Sleep, Mortality
Adding MORE DATA monthly
INDIVIDUAL ANALYSIS
Comparison of characteristics of the individual to age, gender, BMI matched groups in the general population.
Estimates of individual and combined health status and risks performed 15

16. Health Status Analyses
ARTHRITIS
CHRONIC CARDIAC
CHRONIC LUNG
MOOD
vO2
MAX
ROI
CARDIAC FITNESS
TYPE II DIABETES
FINANCIAL CALCULATORS
Using our proprietary algorithms we can estimate risk of chronic illness, chronic low back pain, depression and happiness in individuals using data from their wearable technology in addition to age, gender and height and weight. More specific analyses are available as additional information is added to the algorithm 16

17. The VivaMe Score – Simplified Health Risk Assessment (HRA)
Daily activity monitoring data,RHR, SLEEP
USE
CASES
AGE, GENDER, HEIGHT, WEIGHT,RHR
MEDICAL CONDITIONS, WELL CONTROLLED Y/N
LIFE STYLE CHOICES – SMOKING/ALCOHOL ⓘ
Patent Pending 17

18. Vivametrica Online Tools
Goal-Setting Tools
Health Risk Assessment Benchmarked to Population
Disease Specific Risk Scores

19. Personalized User Tools – Precision Exercise Prescription
Right click and add photo
ALERT

20. Group Health Measurement
Wellness Program Effectiveness Data from 3500 Clients
% Low Risk at End of Program
% Low Risk Before Program

21. ROI Calculators – Type II Diabetes (Linkage to Claims Data)

22. What we need for a solution?
Measurement tools
Personalized Assessment
Personalized Prescription
Global approach
Social support
Engagement
Alignment of stakeholders

23. Define / Measure / Track Scalable, Specific Relevant, economical
Value Proposition
Fundamental Tools
Define / Measure / Track
Scalable, Specific
Relevant, economical
Useful now
Adaptable for the Future
Subject Matter Expertise

24. For more information:
Rick Hu, MD