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Artificial Intelligence-Powered
Wearable Solution For Senior Care
Satish Movva
CEO & Founder
CarePredict
© 2019 Valencell ...
AI-Powered Wearable Solution For Senior Care
SATISH MOVVA
CEO & Founder, CarePredict
smovva@carepredict.com
Satish is a se...
The Challenge
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8
2015
2030
2050
Aging Population
Seniors (in billions)
The Challenge
C
A
R
E
G
A
P
50
60
70
80
90
100
2016 2020 2025 2030 2035 2040 2045 2050 2055 2060
USPopulation(Millions)
Ca...
Proactive Vs Reactive Senior Care
A shift in paradigm
C
A
R
E
G
A
P
• Time is of the essence when it comes to senior
care....
Is Human Observation
Enough?
We rely on human observation to find declines
before they are clinically apparent.
Human obse...
Why Technology?
PAST
5 Caregivers:1 Senior
PRESENT
2 Caregivers:1 Senior
FUTURE
1 Caregiver:2 Seniors
Overview
Health technology
company
Locations in
Fort Lauderdale, FL
&
Menlo Park, CA.
Solution
To engage staff & provide
b...
The CarePredict End-to-End Solution
Step 1: Tempos with sensors worn on
dominant arm collects data activity points
Step 2:...
CarePredict Wearable and Sensing Technologies
• Tempo™ Wearable senses daily activity and behavior patterns like eating,
s...
The CarePredict End-to-End Solution
• Leverages Tempo information to uncover precursors to
health risks
• Machine-learning...
Nutrition Actionable Insights
• Nutrition insights
• Skipping meals could be indicative of depression
• Malnutrition also ...
UTI Actionable Insights
• UTI constitutes one third of all infections in senior adults (More common in
women over 65 yrs o...
Fall Risk Actionable Insights
• Multifactorial — gait and stride changes,
sedentary behaviors
Depression Actionable Insights
• Multifactorial: signs and symptoms of self
neglect
Used Not Just By Seniors . . .
• Real-time and historical location of staff
• Services dashboard
• Staff efficiency dashbo...
Used Not Just By Seniors . . .
• Operators can increase length of stay by avoiding hospitalization
• Understand the quanti...
Used Not Just By Seniors . . .
• Can be used by family caregivers
• Use insights to take proactive measures
• Provide time...
Thank You & Discussion
info@carepredict.com
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Artificial intelligence-powered wearable solutions for senior care: A conversation with CarePredict

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CarePredict, a Florida-based health tech startup, aims to improve seniors’ quality of life with machine learning-driven, actionable wearables insights for care staff and management to provide peace of mind for seniors and their loved ones. By identifying changes in the daily activities and behavior patterns of seniors, predictions can be made about declines in their health, thereby enabling early intervention and adopting a proactive and preventive approach to senior care.

In this webinar, CarePredict shares about their journey from initial concept through prototyping, use case development, business development, and addressing the crisis of a widening gap in the senior to caregiver ratio.

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Artificial intelligence-powered wearable solutions for senior care: A conversation with CarePredict

  1. 1. Artificial Intelligence-Powered Wearable Solution For Senior Care Satish Movva CEO & Founder CarePredict © 2019 Valencell Inc.
  2. 2. AI-Powered Wearable Solution For Senior Care SATISH MOVVA CEO & Founder, CarePredict smovva@carepredict.com Satish is a serial entrepreneur with over 30 years of creating innovations in healthcare technologies. His past accomplishments include creating the first mobile EMR device on a palm pilot in 1998, a SaaS NICU EMR in 2000 to the first SaaS Home care and Hospice platform in 2002 that he successfully exited. He is the founder and the CEO of CarePredict, the first-to-market AI-powered solution for predicting health conditions by continuously monitoring the daily activity and behavior patterns of seniors.
  3. 3. The Challenge 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2015 2030 2050 Aging Population Seniors (in billions)
  4. 4. The Challenge C A R E G A P 50 60 70 80 90 100 2016 2020 2025 2030 2035 2040 2045 2050 2055 2060 USPopulation(Millions) CareGiver (aged 45-64) Senior (aged 65+)
  5. 5. Proactive Vs Reactive Senior Care A shift in paradigm C A R E G A P • Time is of the essence when it comes to senior care. • Even before the vitals decline, senior adults show changes in their daily activity patterns such as eating, sleeping, grooming, toileting, etc. • In order to catch these early “invisible signs” the daily activity and behavior patterns needs to be monitored. Continuously.
  6. 6. Is Human Observation Enough? We rely on human observation to find declines before they are clinically apparent. Human observation is unreliable, inefficient, expensive. Falls & Fall Risks Depression Malnutrition Dehydration Mild Cognitive impairment Urinary Tract Infections
  7. 7. Why Technology? PAST 5 Caregivers:1 Senior PRESENT 2 Caregivers:1 Senior FUTURE 1 Caregiver:2 Seniors
  8. 8. Overview Health technology company Locations in Fort Lauderdale, FL & Menlo Park, CA. Solution To engage staff & provide better senior care Deep learning platform, wearables, and remote sensing technologies Platform is Reactive & Proactive Provides “just-in-time” care and person-centered actionable wellness insights for preventative care “All-in-One” Product Staff engagement, Justify increases in levels of care, and prediction of residents at risk for a fall, UTI or depression Deployed Commercially in US, Canada, and Japan. Launching CarePredict Home — for Seniors Aging in Place
  9. 9. The CarePredict End-to-End Solution Step 1: Tempos with sensors worn on dominant arm collects data activity points Step 2: Beacons provide location context Step 3: ADLs are classified and neural nets establishes a rolling baseline baseline of the individual senior Step 4: Personalized Actionable Insights are delivered on health conditions of our senior loved ones
  10. 10. CarePredict Wearable and Sensing Technologies • Tempo™ Wearable senses daily activity and behavior patterns like eating, sleeping, walking, sitting, grooming, toileting, etc. • Each sensor plays a vital role in collecting relevant activity data. Has over eight highly sensitive sensors including Valencell’s heart rate monitor Heart Rate Monitor: Actionable insights on sleep pattern Helps accurately identify the probability of drowning, stroke and post fall Provides a viable solution for the biggest challenge with wearables – Is it being worn? • Tempo is packed with other features like — Two-way voice Button press Keyless access control • Fall detection and voice alarm • Also has other sensors for ambient/environment monitoring
  11. 11. The CarePredict End-to-End Solution • Leverages Tempo information to uncover precursors to health risks • Machine-learning algorithm creates a rolling baseline and alerts on anomalies • Neural nets and correlation engine classify activity data and predict health conditions • User-friendly and intuitive dashboards provide one glance view of senior’s holistic health and wellness • Actionable insights allow caregivers to take just-in-time action and avert hospitalizations, ER visits or invasive procedures
  12. 12. Nutrition Actionable Insights • Nutrition insights • Skipping meals could be indicative of depression • Malnutrition also puts them at an increased risk for fall
  13. 13. UTI Actionable Insights • UTI constitutes one third of all infections in senior adults (More common in women over 65 yrs old) • Frequency and duration of bathroom visits are key to determining UTIs early on
  14. 14. Fall Risk Actionable Insights • Multifactorial — gait and stride changes, sedentary behaviors
  15. 15. Depression Actionable Insights • Multifactorial: signs and symptoms of self neglect
  16. 16. Used Not Just By Seniors . . . • Real-time and historical location of staff • Services dashboard • Staff efficiency dashboard • Understand seniors who are at risk right away
  17. 17. Used Not Just By Seniors . . . • Operators can increase length of stay by avoiding hospitalization • Understand the quantity and quality of care required and being provided • Engage and empower staff • Streamline workforce
  18. 18. Used Not Just By Seniors . . . • Can be used by family caregivers • Use insights to take proactive measures • Provide timely intervention • Help senior loved one age safely in the comfort of their own home
  19. 19. Thank You & Discussion info@carepredict.com

CarePredict, a Florida-based health tech startup, aims to improve seniors’ quality of life with machine learning-driven, actionable wearables insights for care staff and management to provide peace of mind for seniors and their loved ones. By identifying changes in the daily activities and behavior patterns of seniors, predictions can be made about declines in their health, thereby enabling early intervention and adopting a proactive and preventive approach to senior care. In this webinar, CarePredict shares about their journey from initial concept through prototyping, use case development, business development, and addressing the crisis of a widening gap in the senior to caregiver ratio.

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