Agility4Life Pitch Deck
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Agility4Life Pitch Deck

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    Agility4Life Pitch Deck Agility4Life Pitch Deck Presentation Transcript

    • March 30, 2013Agility4LifeQuality of Life throughMeasured Movement Agility For Life Justin Ho, Uday Chaka1 http://www.agility4life.com
    • 2 March 30, 2013Agenda Company Overview Solution Overview Demonstration Business Insight
    • 3 March 30, 2013 Who is Agility4Life?  Vision – be health monitoring solution for seniors by utilizing movement signals to predict and enhance health outcomes  To help PREVENT adverse events  To help DETECT adverse events  Ultimately – help seniors live independently, away from intensive care or nursing homes  Why now?  Aging Population – 10k new seniors / day – existing resources will be strained to provide sufficient care  Advancements in computer vision technology  Advancements in movement/gait science  Regulatory changes to better incentivize stakeholders to invest in technology to improves quality of care Core Team Extended Team Uday Kiran Chaka – Founder, Duke MBA Front / Back End Developers Justin Ho – Founder, Duke MBA Hardware engineer Seshadri Srinivasan, PhD – Founder, Research Lead Hardware/UI designers Stacy Fritz, PhD – authority in walking science Image Analysis Scientists Tiffany Shubert, PhD – research scientist in Aging Geriatrician http://newsroom.pamf.org/2012/10/pamf-innovation- center-developer-challenge-winners/Company Overview Solution Overview Demonstration Business Insight
    • 4 March 30, 2013 Prototypes What is Agility4Life? Built - Fall Risk Health assessment and risk - Cognitive Declines - Sensory Declines Phase I detection tool based on Prevention walking speed Phase II Fall Detection/Monitoring System Detection Advanced Fall Risk Assessment Phase III and Disease Prediction Suite based on complex movement Prevention patternsCompany Overview Solution Overview Demonstration Business Insight
    • 5 March 30, 2013 Key Solution Features  Real-time detection of falls  Ability to distinguish between real falls and false positives (e.g. lying down, sitting)  Daily monitoring and assessments of overall health based on walking speed  Provide early warnings of health deteriorations based on walking speed  Real-time alerts sent to designated care taker(s) in case of fall  Alert protocols include SMS text, Email, and can be customized to integrate with existing facility alarm systems  Ability by senior to easily deactivate alert if fall is not serious  Online health overview dashboard  Summarizes captured data to show metrics, warnings, and trends  Accessible only by senior and his/her designated caretaker(s)  HIPPA compliant platform that can integrate with hospital systems if need beCompany Overview Solution Overview Demonstration Business Insight
    • 6 March 30, 2013 Value of Real-Time Fall Detection  Value to Senior (and his/her primary caretaker)  Peace of mind – when fall occurs someone would be alerted immediately  More likely to recover/survive if falls are detected and treated early  Remaining on floor for >2 hours after a fall increases risk of dehydration, pressure ulcers, rhabdomyolysis, hypothermia, and pneumonia  Special urgency for cardiac arrest issues where “3-minute reduction in call-to-shock time improves odds of survival almost 4-fold” *  Value to Providers  Improved quality of care for its members  Differentiator to attract new members  Helping meet organizational service objective of keeping its seniors living independently  Value to Payer  Annual savings of ~$2MM for 3000 unit facility * http://usatoday30.usatoday.com/news/nation/ems-day2-cover.htmCompany Overview Solution Overview Demonstration Business Insight
    • 7 March 30, 2013 Value of Walking Speed Assessment  Value to Senior (and his/her primary caretaker)  Opportunity to take control of own health –  Continuous monitoring of a key vital sign – walking speed – to assess health status  Early warning of functional declines and risk of falls – gives opportunity for intervention before it’s too late  Value to Providers  Improved quality of care for its members  Differentiator to attract new members  Helping meet organizational service objective of keeping its seniors living independently  Value to Payer  Early intervention reduces the likelihood of hospitalization, disease complications, and moving into nursing homes – saving millionsCompany Overview Solution Overview Demonstration Business Insight
    • 8 March 30, 2013 A Bit More on Walking Speed …  Latest medical research confirms that Walking Speed/ Gait Speed is a good indicator of overall health status, “Walking requires including – body support, timing  Stability and Balance – Risk of Falling and power. It places  Dementia, Cognitive Status demands on the  Motivation and Mental Health brain, spinal cord,  Survival and Well Being peripheral nerves,  Musculoskeletal Condition, Joints, Motor Control muscles and joints,  Sensory and Perceptual Function (Vision and Ears) heart and lungs, and … the blood… thus  Changes in Walking Speed correlate with changes to when organ systems health. Studies show that for seniors: are not working  Average walking speed < 0.6 m/s is indicative of poor property, gait speed health status  Walking Speed decrease (change of -0.1 m/s) indicates slows.” health deterioration - Dr. Studenski S*  Walking Speed increase (change of +0.1 m/s) shows improvement  See Appendix for a comprehensive list of walking speed implications Walking Speed is specific, measurable, objective and correlates with healthCompany Overview Solution Overview Demonstration Business Insight
    • 9 March 30, 2013 Unobtrusive Experience Agility4Life Detectors capture and assess movement signals; process and transmit relevant data – including position coordinates, time, identified movement characteristics – wirelessly to CPU hub. Agility4Life CPU Hub triangulates data from multiple detectors and sends summarized information – including detected fall and walking Distance speed – to Agility4Life software application in the Point B Point A cloud. Also contains manual override button in case of false alarm alerts.Company Overview Solution Overview Demonstration Business Insights
    • 10 March 30, 2013 Analytics in the Cloud Summarized Agility4Life Information Application in the Cloud Personalized Agility4Life Web Site Data Base Analytics Trend Engine Generator Immediate Fall Alert Push/pull requests SMS Text SOAP/REST architecture Message JSON/XML Email Existing Facility Warning System* * Customized based on facility-specific system and processesCompany Overview Solution Overview Demonstration Business Insight
    • 11 March 30, 2013 Privacy / Ease of Use  Secure login so only senior and his/her designated caretaker(s) can see data  A4L does not capture or store images in the cloud – assessment of images done on detector device in real time; images discarded immediately  One time set up – takes about 45 minutes pending number of rooms  Unobtrusive usage – senior does not have to wear anything or modify daily routines  Non-invasive look and feel – small form factor, blends into wall  Simple button to press if fall detected is false alarmCompany Overview Solution Overview Demonstration Business Insight
    • 12 March 30, 2013 Runner-Up in PAMF Validated by Experts linkAges Competition! Name Title Dr. Peter Cheng Physician Lead, Palo Alto Division Geriatric Medicine Doctor Program, Palo Alto Medical Foundation (PAMF) Stacy Fritz, PHD, PTI Program Director & Assistant Professor at University of South Carolina – Physical Therapy Program Academic Dr. Tiffany Shubert, PHD Adjunct professor, Physical Therapy, at UNC, Research scientist at the UNC Center for Aging and Health Ken Smith Senior Research Scholar and Director of Academic and Research Support, Stanford Center on Longevity Mr. Joachim “Yo” Care Center Administrator, Vi Palo Alto, Independent IL/AL/HC Facilities Andersen Living & Assisted Living (IL & AL) Facility Mr. Al Lewandowski CFO of Secret Harbor, Provider of home care (HC) services for Seniors Mr. Jean-Luc Neptune Senior Vice President, Health 2.0 Industry Katy Thomas Fike, PHD Entrepreneur & Consultant, Geriatrics Agility4Life solution has been reviewed positively by a PAMF physician, academics, researchers, seniors, administrators of Assisted and Independent Living facilities and industry veteransCompany Overview Solution Overview Demonstration Business Insight
    • 13 March 30, 2013 Demonstration  Fall Detection  Videos show various fall patterns detected  Falling backwards  Falling forward  Falling straight down  Non-fall (sitting down / slowly lying down)  Walking Speed Assessment  See Appendix for descriptionCompany Overview Solution Overview Demonstration Business Insight
    • 14 March 30, 2013Successful Beta Prototype Participant ProfileAgility4Life signed up a senior to participate in a beta to test the Name: Angelina H (Patient A)solution to measure Walking Speed Age: 86 Sex: Female Health Care Provider: PAMF Palo Alto Resident Lives Alone Overview Trends Risks Details  Actual screen shots from the beta website for the participant “The charts are easy to understand. They give valuable feedback and incentive to  Measures Walking Speed accurate to 1/15th of a second exercise” – Angie H (Beta Test Participant)  Trends are vivid and easy to interpretCompany Overview Solution Overview Demonstration Business Insight
    • 15 March 30, 2013Health Monitoring has business value Nursing Assisted Independent Hospital Home Home Living Living High cost Low cost  Preventative Care: Early detection of potential problems by seniors, care-givers or family members, community programs, and doctors/therapists, by reviewing Walking Speed summaries helps prevent adverse or catastrophic events  Better quality of life for seniors  Less dependence on others for daily activities  Delay the onset or reduce the likelihood of transitioning from home to nursing homes  Avoid significant financial burden placed upon family members – avg. of $70k / year  Living at home or in a Low Cost facility with similar care: Providers and Senior Living Facilities deliver higher standard of service at lower cost, realize better occupancy rates and revenues  Improved quality of care away from hospitals and physicians means less re-visits for same issue, improving bottom-line for hospitals  Improved quality of care in senior living centers or assisted living facilities means less flow into nursing homes, where the margins for operators are typically less attractive Monitoring activities and health saves money for seniors and health system overall by preventing falls and helping seniors live in lower cost facilities – like home Walking Test May Predict Heart Surgery Risks WebMD articleCompany Overview Solution Overview Demonstration Business Insight
    • 16 March 30, 2013 Agility4Life - Addressable Market for Health Monitoring  Two main addressable markets worth $3.5B  Seniors living alone in private homes  Independent and assisted living facilities  Private home seniors  11.3M non-institutionalized seniors live alone (1.1M in CA)  Total Market size of ~$3.3B annual revenue in US (assume $50 initial purchase/senior + $20 monthly fee/senior)  Independent / Assisted living facilities  ~1M seniors live in ~40k independent/assisted living facilities nationwide  Top 10 assisted living and top 10 independent living facilities combine to serve ~260K seniors, totaling ~$75M market  Total market size of $250M (assume $1000 initial purchase/facility + $20 monthly fee / senior) http://www.consumerreports.org/cro/money/retirement-planning/choosing-an-assisted-living-facility/overview/index.htmCompany Overview Solution Overview Demonstration Business Insight
    • 17 March 30, 2013 Agility4Life Pricing Monthly Cost Monthly Cost Alternatives w/o Insurance w/ Insurance Key Differences to Agility4Life Full monitoring at - Loss of independence $7,000 * $7,000 Nursing Homes - Pain and suffering Moving into $3,300 $3,300 - Loss of some independence Assisted Living - Pain and Suffering Treatment due to $1,600 $400 - Temporary / permanent decline in illness/falls mobility - Monthly Hospital Visits Get-Up-and-Go $100 $15 - May not be as accurate Tests - No comprehensive historical records BeClose Full $80 $80 - Does not provide walking speed Monitoring  Agility4Life  $20/senior monthly subscription fee + $20 Wireless access (3G models)  $40-50 one-time product price * http://www.elderlawanswers.com/resources/article.asp?id=8717&Section=4&stateCompany Overview Solution Overview Demonstration Business Insight
    • 18 March 30, 2013 Agility4Life Intellectual Property  Agility4Lifehas filed a provisional patent on “Fall identification, posture detection, temperature identification and reliable estimation of walking speed using Passive Infrared array and Optical Cameras: Subsequent assessment of general health, including fall risk, using posture, fall history and walking speed”  A broad-based family of patents in this area will protect Agility4Life’s interests in the long termCompany Overview Solution Overview Demonstration Business Insight
    • 19 March 30, 2013 Agility4Life – Competitive Analysis Alternatives Agility4Life Stop Motion WebCam/ Radar Pedometer, watch detector Kinect strap-on Features & tape devices Accuracy *** *** * *** * *** Frequency *** * *** *** *** ** Automated *** * *** *** *** * Cost effective *** ** ** * ** ** Ease of set-up *** *** * *** *** *** Supporting *** ** * * * *** technologies User Interface, *** * * * * ** EHR/EMR link Agility4Life is the best solution!Company Overview Solution Overview Demonstration Business Insight
    • 20 March 30, 2013 Agility4Life – Roadmap/ Go to Market Strategy Q3/Q4 2014  Partner w/Insurance companies, Providers Q1/Q2  Partner w/Retailers, Medical Supplies Distributors 2014 Improve analytics  Public Launch w/Direct sales, Distributors Q3/Q4 2013 Add new form factors for detectors  Public Beta Launch w/Partners (ALF), Managed Care Organizations (MCOs) Q1/Q2 2013 Add new signals, enhance website to improve user experience  Pilot: Homes of seniors, Assisted Living Facility (ALF) Improve person recognition/filtering, add connectors to EMR, EHR, PHRCompany Overview Solution Overview Demonstration Business Insight
    • 21 March 30, 2013 Agility4Life – Partnership Plan  Current Status - completed proof of concepts, rough prototypes, received validation from experts; now we need to:  Validate there’s a need of this product from senior homes  If so, continue to invest money, time, energy to build up product for real trials (~2 month effort)  We want to be a pilot partner of senior living facilities, and conduct beta tests  Two Evaluation Trials, each contains:  5 senior units  1 month span  Pre-trial walk through of facility and one time set up of system  Post-trial interviews with senior, caretaker, and facility member(s)  As an initial partner – we will:  Customize our solution specifically to your facility so to leverage existing warning systems/alarms and processes  Once productized, free 1 year usage of product for seniors who participate in trialCompany Overview Solution Overview Demonstration Business Insight
    • 22 March 30, 2013 Agility4Life – Founder Bios  Uday Chaka  Entrepreneur and management consultant with deep strategy, technology, and execution experience  Co-founded mobile social gaming company, advised Fortune-100 firms on product development and supply chain operations  Worked at Pricewaterhouse Coopers (PwC), Cisco, HP, Infosys  Holds MBA in Health Sector Management from Duke University and BS in Technology from Indian Institute of Technology (IIT)  Justin Ho  Experienced healthcare and management consulting professional  Deep product management, marketing, sales operations, and technology experiences  Worked at Accenture, Boston Scientific, Cardinal Health, and Genentech  Holds MBA in Health Sector Management from Duke University and BS in Biomedical Engineering from Johns Hopkins University  Seshadri Srinivasan –  Sr. Staff Scientist, Product Lead, Feature Lead & Research Lead  Expert on Image Processing, Medical Imaging & Systems Engineering  Worked at Siemens Medical Solutions and startups  Authored 11 patens overall, including 5 patents on color doppler imaging, all of which were granted: (7946990, 7887484, 7887487, 8047991, 8098910)  Holds Ph.D in Electrical Engineering from Houston University and B.S. in Electrical Engineering from Anna UniversityCompany Overview Solution Overview Demonstration Business Insight
    • 23 March 30, 2013 Agility4Life - Summary Captures and Analyzes Activity Patterns to Monitor Health Improves Quality of Care for Seniors Helps Seniors Age Independently Away from Hospital / Nursing Homes Great team Social Mission With a Unique solution Preventative Care In a Growing market Need of the hour Agility4Life hopes to win the Startup Challenge!Company Overview Solution Overview Demonstration Business Insight
    • 24 March 30, 2013 THANK YOU! Contact: Uday.chaka@agility4life.comCompany Overview Solution Overview Demonstration Business Insight
    • 25 March 30, 2013APPENDIX
    • 26 March 30, 2013 Agility4Life: Summary Screen Account Senior Information profile Agility4Life Daily and weekly recommendation for average speeds and the senior changesCompany Overview Solution Overview Demonstration Partnership Opportunities
    • 27 March 30, 2013 Agility4Life: Trends Screen Account Senior Information profile Trend line of walking Large fluctuations speed over a period could indicate certain of time medical conditionsCompany Overview Solution Overview Demonstration Partnership Opportunities
    • 28 March 30, 2013 Account Agility4Life: Risks Screen Information Senior profile Senior’s risk level based Risk factors based on on the average walking speed walking speedCompany Overview Solution Overview Demonstration Partnership Opportunities
    • 29 March 30, 2013 Agility4Life: Hours Screen Account Information Senior profile Does Walking speed vary Does the walking widely during the day – speed vary widely? morning vs. mid-day?Company Overview Solution Overview Demonstration Partnership Opportunities
    • 30 March 30, 2013 Use Case – Lynn, 68 year old grandmother, lives alone Disease Maintenance in private home, primary care taker is her son Thomas, who lives in another state Total Cost: Has not   $3,300/month Depression Thomas no Has taken for AssistedWithout worsens in longer thinks depression, medication following Lynn can live Living1Agility4Life often times on schedule weeks, leads indepen- forgets to the past 3 to general dently, Decreased take weeks, and medication does not tell health moves her to independence deterioration assisted living anyone Lower quality of life   Thomas reiterates Has not Thomas calls Has taken Lynn, asks importance of Agility4Life depression, medication clarifying medication, asks sendsWith often times on schedule warning questions neighbor to checkAgility4Life forgets to the past 3 and finds out up on Lynn. signal to take weeks, and she has not Depression does not Thomas medication does not tell been taking deteriorate, Lynn anyone medication stays in her home. 1http://www.assistedlivingfacilities.org/articles/assisted-living-costs.php/
    • 31 March 30, 2013 Use Case – Nancy, 79 year old grandmother, lives alone Disease Maintenance in private home, primary care taker is her daughter Pam who lives close by Has Multiple  But both  Sclerosis, Exacerbation Nancy and Total Cost:Without knows from Pam do not of MS occurs, experience severe urinary $1,000 for treating urinaryAgility4Life decline in notice tract infection visually tract infection and MS mobility is sign develops, of minor causing pain exacerbation mobility exacerbation declines and suffering Pain and Suffering of disease Has Multiple   asks Nancy to Pam  along with Nancy, Sclerosis, Pam notices check for common her physician knows from minor MS exacerbation catches the onset experienceWith decline in mobility factors and of urinary tractAgility4Life mobility is sign declines via schedules infection and is Agility4Life appointment with able to treat it of notification Nancy’s physician effectively before exacerbation for checkup it becomes serious of disease
    • 32 March 30, 2013 Use Case – Ted, 74 year old Preventative Diagnosis grandfather, recently moved into independent living center. During  doc visit: Total Cost:Without Has minor does not ConditionAgility4Life dizzy spells bring up worsens – $20k for treatment/therapy1 for the symptom falls and Pain and Suffering past 3 for fear of suffers hip weeks being sent Decreased long term mobility fracture to nursing Increased risk of fatality home During  But via  Doc asks  Ted follows clarifying doc visit: Agility4Life treatment – doc questions: Has minor does not doc sees verifies discovers dizzy spells bring up average improvementWith for the symptoms walking dizziness; with Agility4LifeAgility4Life past 3 for fear of speed varied suspects report – Ted vestibular weeks being sent greatly from stays in disorder and to nursing past week to independent prescribes home past month living physical therapy 1http://www.cdc.gov/HomeandRecreationalSafety/Falls/fallcost.html
    • References 33 March 30, 2013 WS value (m/s) Functional Link to Walking Speed Author Year Article Title Journal < 0.6 Dependent in ADLs and IADLs Studenski 2003 Physical performance measures in the clinical setting. J Am Geriatr Soc. >1.0 Independent in ADLS Studenski 2003 Physical performance measures in the clinical setting. J Am Geriatr Soc. < 0.6 More likely to be hospitalized Studenski 2003 Physical performance measures in the clinical setting. J Am Geriatr Soc. >1.0 Less likely to be hospitalized Studenski 2003 Physical performance measures in the clinical setting. J Am Geriatr Soc. Montero- Gait velocity as a single predictor of adverse events in J Gerontol A Biol < 1.0 Need interventions to reduce falls Odasso 2005 healthy seniors aged 75 years andolder Sci Med Sci. Montero- Gait velocity as a single predictor of adverse events in J Gerontol A Biol >1.0 Less likely to have adverse events Odasso 2005 healthy seniors aged 75 years andolder Sci Med Sci. Prognostic value of usual gait speed in well-functioning older people-results from the Health, Aging and Body >1.0 Less likely to have adverse events Cesari 2005 Composition Study J Am Geriatr Soc. Admission ambulation velocity predicts length of stay and discharge disposition following stroke in an acute Neural Rehab and <.15 d/c to SNF Rabadi 2005 rehabilitation hospital. Repair Admission ambulation velocity predicts length of stay and discharge disposition following stroke in an acute Neural Rehab and > 0.15 d/c to home more likely Rabadi 2005 rehabilitation hospital. Repair > 1.3 Extremely fit Studenski 2003 Physical performance measures in the clinical setting. J Am Geriatr Soc. Prognostic value of usual gait speed in well-functioning Higher risk for Persistent Lower older people-results from the Health, Aging and Body <1.0 Extremity Limitation Cesari 2005 Composition Study J Am Geriatr Soc. Prognostic value of usual gait speed in well-functioning Higher risk for Persistent Severe Lower older people-results from the Health, Aging and Body <1.0 Extremity Limitation Cesari 2005 Composition Study J Am Geriatr Soc. Prognostic value of usual gait speed in well-functioning older people-results from the Health, Aging and Body <1.0 Higher risk of death Cesari 2005 Composition Study J Am Geriatr Soc. Prognostic value of usual gait speed in well-functioning older people-results from the Health, Aging and Body <1.0 Higher risk for hospitilization Cesari 2005 Composition Study J Am Geriatr Soc. Gait speed predicts decline in attention and psychomotor Neuroepidemiolo <1.05 Cognitive Decline within 5 years Inzitari 2007 speed in older adults. gy < 1.0 Death and hospitalization within 1 year Studenski 2003 Physical performance measures in the clinical setting. J Am Geriatr Soc. Measures of lower body function and risk of mortality <0.8 Mobility and ADL disability at 2 years Ostir 2007 over seven years follow up Am J Epidemiol. Measures of lower body function and risk of mortality <0.8 Mortality risk at 2 years and 3.8 years Ostir 2007 over seven years follow up Am J Epidemiol. Risk of death, hospitalization, Montero- Gait velocity as a single predictor of adverse events in J Gerontol A Biol <0.7 institutionalism and falls Odasso 2005 healthy seniors aged 75 years andolder Sci Med Sci. <0.6 Functional and cognitive decline Studenski 2003 Physical performance measures in the clinical setting. J Am Geriatr Soc. <0.42 Functional impairments Atkinson 2005 Predictors of combined cognitive and physical decline J Am Geriatr Soc. <0.42 Severe walking Disability Atkinson 2005 Predictors of combined cognitive and physical decline J Am Geriatr Soc. <0.2 Extremely Frail Studenski 2003 Physical performance measures in the clinical setting. J Am Geriatr Soc. A prospective trial of serial gait speed as a measure of <0.15 Institutionalism and high dependence Friedman 1988 rehabilitation in the elderly. Age and Ageing ~0.67 Self Care Studenski 2003 Physical performance measures in the clinical setting. J Am Geriatr Soc. ~0.89 Husehold Activities Studenski 2003 Physical performance measures in the clinical setting. J Am Geriatr Soc. ~1.11 Carry Groceries, Light yardwork Studenski 2003 Physical performance measures in the clinical setting. J Am Geriatr Soc. ~1.33 Climb several flights of stairs Studenski 2003 Physical performance measures in the clinical setting. J Am Geriatr Soc.