I-HOPE pitch presentation
I-HOPE Improved Health Outcomes via Population Engagement
Data Collection SaaS for Community Health Workers
Cleveland State University School of Nursing
William Matcham, Ph.D.
Assistant Professor
RN Refresher Program Coordinator
Community Health Workers (CHWs)
• American Public Health Association’s classification defines CHWs as:
“a frontline public health worker who is a trusted member and/or has a close understanding of the community served.”
• Ohio Board of Nursing defines CHWs as:
“As a community representative who advocates for clients in the community by assisting them in accessing community health and supportive resources through the provision of such services as education, role modeling, outreach, home visits, or referrals.”
• Medically underserved patients do not see doctors on a regular basis, if at all
• Focus on preventative healthcare in the community to avoid hospital admissions.
Medically Underserved Communities
Rate of hospital stays for ambulatory-care sensitive conditions per 100,000 Medicare enrollees.
Cleveland community need index
Life expectancy is 12 years less between Cleveland and suburbs (less than 10 miles)
Benefits from CHW Deployment
• Traditionally, medically underserved individuals will receive increased access to services, including those that can improve factors related to social determinants of health
• Lack of healthy food choices
• Affordable transportation
• Insecure housing
• Health care delivery systems can benefit from the skills, community knowledge and cultural competency that CHWs possess in order to connect with those at risk for poor health outcomes
• Interventions shown to significantly decrease HbA1c (Perez-Escamilla, et al., Diabetes Care 38, 197-205, 2015)
• Asthma trigger reduction reduced ED/UC visits (Postma, et al., J Asthma 46 (6) 564-576, 2009)
https://www.healthaffairs.org/do/10.1377/hblog20150116.043851/full/
• Environmental factors
• Crime
• Insufficient recreational opportunities
Public and private payers may see reductions in total health care spending
Solution: I-HOPE Mobile App
I-HOPE ‘Improved Health Outcomes via Population Engagement ’
• Remove paper from data collection
• Dashboard with various clinics
• Multiple activities to choose
• Efficient & simple process
• Record & retain information
• Synchronize disparate data across multiple CHW clinics
• Ability to integrate into existing EHRs
Example of Foot Care Application
Record source data problems with feet
Record physiologic observations of feet
Capture CHW specific tasks not recorded in normal EHR
Capture images with camera of feet for wound documentatio n
Data Opportunity & Workflow
https://www.arminsight.com/wp-content/uploads/2019/07/ARM-Insight-Road-Map_Final.pdf
1. Aggregate disparate data
2. Standardiz e data for integration
3. Anonymize data
4. Opportunity to tag data
5. Data Warehouses: Snowflake, AWS RedShift, Google BigQuery, Microsoft Azure
6. Clouds: AWS, Google, Microsoft
Go to Market Strategy
Market Assessment
Align market landscape with I-HOPE
Define Use Cases
Identify the problems that I- HOPE can solve
Differentiation
How is I-HOPE unique
Value Drivers
Economic impact on the business
• Review market • Validate approach • Design workplan • Build core team
• Define opportunity • Determine buyer • Choice drivers
• Create advantage • ID any channel collaborators • How to win
• Customer acquisition • Win/win value proposition • Demonstrate alignment
Electronic Data Capture Strategics • Medidata Solutions • Veeva Systems • Eversana • IBM Watson • Amazon • Oracle • Qlik • BioClinica • Clarivate Analytics
SDOH Technology Partners • Signify Health • Accolade
Monetization Strategies
• Registration and subscription fees
• CHW employers & hospitals
• “Monitored patient sourcing”
• Accumulated data
• Sale of de-identified data
• Empower earlier clinical decision making
• Research (Academics, providers, payers)
• Pattern identification
• ID cause and change behaviors
• Localized advertising campaigns
• Geolocation based advertising
• Advertising to patient base