The Doctor will SEE you now. Ofer Sharon, MD Co-founder INNOVATECH 2017, April 27

Transcription

1 The Doctor will SEE you now Ofer Sharon, MD Co-founder INNOVATECH 2017, April 27

2 Valera Health is a cloud-based platform for payers and health systems with a vision to transform chronic disease management* * In the US Valera s main focus is on behavioral health.

3 1% 9 minutes 100%

4 Valera Health developed a platform that enables an Efficient, Proactive HealthCare

5 Case Study September 2016, New York Mary A 26 YO with major depressive disorder

6 Mary joined the Valera program on September 10 th 2016

7 Passive data alerts ALERT September 26 th :00 AM : The system detected that Mary didn t change location for 72 hours

8 HIPAA certified chat September 26 th :15 AM : The care manager got the alert and engaged the patient via Valera s secured chat Are you ok? How was your last week?

9 Key words tagging September 26 th :16 AM : Mary responded Are you ok? How was your last week? I m fine, thank you :) Can you help me get prescription for sleeping pills?

10 Clinically Validated questionnaires September 26 th :20 AM : CM looked at the patient self reported dynamics 9 5 Previous Questionnaire Current Questionnaire

11 Appointments and admin September 26 th :30 AM : The care manager consulted with the physician and the patient was invited to the clinic. 1 Day Sep 28,4:30pm - 4:00pm Appointment with Dr. Victoria

12 Mary was treated by the clinic with close monitoring and subsequent improvement. A potential suicidal attempt and/or unnecessary hospitalization was prevented.

13 Connect remotely. Manage efficiently. Patient identification & risk stratification using proprietary algorithms Disease management interface for providers FOR PATIENTS: Direct access to effective & proactive care Provider Dashboard Patient App

14 Scale Care Management for Large Populations Traditional All BH needs One-size-fits-all high-touch care Same care pathway for all Valera Health Mild Stratify and automate management according to needs allowing for large scalability Moderate Severe

15 Patients show higher engagement rates and comparable clinical outcomes compared to industry standards. CLINICAL OUTCOMES VS. IMPACT MODEL & USUAL CARE 45% % 64% PATIENTS ENROLLED IN PROGRAM ENGAGED* WITH CARE TEAM VIA APP IN PAST 6 MONTHS SATISFACTION RATE & WOULD RECOMMEND TO A FRIEND % OF PATIENTS 25% 27% 3x INCREASE IN NUMBER OF TOUCHPOINTS/MONTH 14% 8% RESPONSE REMISSION USUAL CARE IMPACT ACO * RESPONSE Usual Care: 50% reduction in PHQ-9; IMPACT: 50% reduction in SCL-20 depression score; ACO: 50% reduction in PHQ-8 score OR PHQ<10. REMISSION - Usual Care: PHQ Score <5; IMPACT: SCL-20 Score< 5; ACO: PHQ-8 Score <5. * Engaged patient definition: patient use of application since enrollment (i.e. sent a message, opened educational material, filled out standardized measure, allowed passive data collection and opened application post-enrollment). * MNCM 2016 Quality Healthcare Report. Published in Accessed 6 April pdf CONFIDENTIAL

16 Technology provides an opportunity to scale the collaborative care model and provide true population-based healthcare. $3,363 over 4 years per enrollee 80 PATIENTS 120 PATIENTS Doubling the caseload offers the opportunity to double savings with a minimal investment in technology costs. 60 PATIENTS Unu tzer J, Katon WJ, Fan MY, et al: Long-term cost effects of collaborative care for late-life depression. Am J Manag Care 2008;; 14: Guidelines for Care Manager Caseload Size. AIMS Center, University of Washington Psychiatry and Behavioral Services. Published in Accessed 27 Mar nager_caseloadsize_guidelines_0.pdf. CASELOADS BY SERVICE SETTING

17 Growth and Traction Among Users Current Underway Pipeline East Coast Payer & ACO 1,000 lives-> 5000 lives 100 lives 200 lives -> 17, ,000 lives lives 30,000 lives Southwest Payer 10,000 lives Large State Public Health Agency & 6 Hospitals 1,500 lives > 10,000 CONFIDENTIAL

18 Patient X combination of active and passive data to generate alerts A positive questionnaire And/or Known location at the expected time? + And/or Expected level of activity? Expected exposure to light?

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20 Identify our customer, address the needs of all the stakeholders Patient Payer Provider

21 Using our platform small care teams can Cover large populations, Efficiently and Proactively

22 The Vision- Evolve from Reactive to Personalized Behavioral Health - Automated Utilization Management Risk sharing Identify the right patient at the right time Machine Learning Algorithms Predict patients disease progression and intervene Population Insights Identify patients archetypes PROACTIVE CARE PREDICTIVE CARE PREVENTIVE CARE

23 Thomas Tsang, MD, MPH CEO, Co-Founder Ofer Sharon, MD, MBA President, Co-Founder David Mou, MD, MBA Medical Director, Co-Founder Sachin Jain, MD, MBA President & CEO, CareMore/ Anthem. Former CMIO, Merck Chip Kahn, MPH President & CEO, Federation of American Hospitals James Nahirny, MBA Former Founding Partner, Bain Capital Ventures & Leerink Capital Ran Balicer, MD, PhD, MPH Director, health policy planning Clalit Health Services Varda Shalev, MD, MPH CEO, Maccabitech Israel Jerry Vaccaro, MD Former CEO United Behavioral Health and Pacific Care Eyal Zimlichman MD CQO, Sheba Medical Center, Partners Healthcare Steven Chan, MD, MBA Resident - Psychiatry & Human Behavior, UC Davis Health System Ravi Shah, MD, MBA Fellow Member Trustee, American Psychiatric Association Kevin Hill, MD, MHS Director, Substance Abuse Consultation Service, McLean Brian Hurley, MD, MBA Robert Wood Johnson Foundation Clinical Scholar, UCLA

24 The Doctor will SEE you now

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