I-HOPE
Improved Health Outcomes via Population Engagement
Data Collection SaaS for Community Health Workers
Cleveland State University School of
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 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
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