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Leveraging User-Centered
Technology to Improve
Health Outcomes
July 13, 20173:30 p.m. – 4:30 p.m. ET
All In Project Showcase Webinar
We are All In!
COMMUNITY HEALTH PEER LEARNING PROGRAM
NPO: AcademyHealth, Washington DC
Funded by the federal Office of the National Coordinator
15 former grantees
BUILD HEALTH CHALLENGE
Funded by 10 national & local funders (including Advisory Board, de Beaumont
Foundation, the Colorado Health Foundation, The Kresge Foundation and
Robert Wood Johnson Foundation)
18 implementation and planning grantees
DATA ACROSS SECTORS FOR HEALTH
NPO: Illinois Public Health Institute in partnership with the Michigan Public Health
Institute
Funded by the Robert Wood Johnson Foundation
10 grantees
THE COLORADO HEALTH FOUNDATION: CONNECTING
COMMUNITIES AND CARE
Funded by the Colorado Health Foundation
14 grantees
All In: Data for Community Health
1. Support a movement acknowledging the social determinants of health
2. Build an evidence base for the field of multi-sector data integration to improve health
3. Utilize the power of peer learning and collaboration
Speakers
Breione St. Claire
Project Director,
Essential Access Health
Karen DeSalvo, MD, MPH, MSc
Former Acting Assistant
Secretary for Health and National
Coordinator for Health IT, HHS
Katie Sendze, MBA
Director of Client Services,
HealthInfoNet
Starting the ConversationJuly 13, 2017
Breione St. Claire, MPH
Project Director
Project Background
This opportunity is made possible by Grant Number TP2AH000023-01-00 from the HHSOffice of Adolescent Health
Selected by the National Campaign to Prevent Teen and Unplanned Pregnancy in partnership with IDEO, an international design company
Innovation Next
Phase I: Use Design Thinking to create an innovative product to
help reduce teen pregnancy
Initial Concept: Custom EHR templates to help pediatric
providers have more comfortable conversations about sex with
their teen patients
Intro to Design Thinking
Design Research
▪ Interviews
▪ Pediatricians (5)
▪ Adolescent Health Specialists
▪ General Pediatrics
▪ Child Abuse Pediatrics
▪ Teens (5)
▪ 14-18 y/o males and females
▪ Peer educators
▪ Non-family planning users
▪ Analogous (2)
▪ Retail sales manager
▪ Real estate agent
Insights - Pediatricians
“If you have three partners before
your spouse, your spouse is not number one.”
“I don’t want parents to feel like
their rights are being taken away.”
“It takes a goodbit of practiceand time for
clinicians to getcomfortable
talking about sex.”
“[EHR] systemauto- populates sex
info into otherpatient visits.”
privacyloopholes
providerbias
comforttakes time
patientvs
parent
Insights - Teens
“Doctors don’t ask these questions!”
“I was slut shamed by my doctor.”
“My peers ask personal questions
via text, not in person.”
“I’m not going to be completely
honest in front of my mom, or if I know she’ll find
out.”
discuss confidentiality
explainwhy
electronicspreferred
fear ofjudgment
How Might We…
…help pediatric providers to have more comfortable conversations with their teen patients?
How can we make doctor visits a more comfortable
experience for clinicians and teens?
What needs to be said/done to elicit honest responses
from teens about their behavior?
Key Product Principles
• Value proposition: This product helps pediatric providers by
increasing their comfort talking about sex with their teen patients.
• Flexibility of use
• Keeps info confidential
• Doesn’t add more work
• Integrates with other systems
Prototyping
Provider Interface Mockup
Patient Interface Mockup
Patient Interface Mockup
SMART on FHIR ( )
SMART – Substitutable Medical Apps, Reusable Technology
FHIR – Fast Healthcare Interoperability Resources
“pluggable apps” that can extend systems with new capabilities
Next Steps
Continue Software and Content Development
Identify pilot testing sites
Questions?
Feel free to contact me directly…
Breione St. Claire, MPH
Project Director
(213) 386-5614 ext. 4620
HealthInfoNet
Maine’s Health
Information Exchange
July 13, 2017
HealthInfoNet Timeline
2004 A statewide study establishes a need and support for an exchange in Maine
2006 HealthInfoNet incorporated with statewide collaboration
2010 Statewide HIE Portal rolled-out to Healthcare Providers
2012 Predictive Analytics & Reporting Tool introduced
2013 Initial Behavioral Health Organizations & Medicaid Claims connect to the HIE
2015 Veterans Administration connected to the HIE
2017 Social Determinant of Health Data available in the HIE
23@2017 HealthInfoNet (HIN) – All Rights Reserved
HIN Proprietary – Not for Redistribution
• All Maine hospitals
• 57 FQHC sites
• 500+ ambulatory sites
- physician practices,
behavioral health and
long term care
facilities
• VA bidirectional
exchange
• All Medicaid Claims
Key HIE Connections- 2017
24@2017 HealthInfoNet (HIN) – All Rights Reserved
HIN Proprietary – Not for Redistribution
• Community Action Agencies (CAA)
• Maine Department of Health and Human Services (i.e. Medicaid)
– Non-emergent transportation services data
– Behavioral health prior authorization & certification data
• FQHC “UDS” social data:
– Housing/migrant worker status
– Use of new SDoH ICD-10 coding available (Z Codes)
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Active SDoH Data Partners
HIE Portal - Community Services
Data Upgrade
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Medicaid Behavioral Health Data
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Examples of new data contributions include:
• Medicaid Health Home (Stage B) Encounters
• State Mental Health Hospital Encounters
• Employment status
Patient HistoryPatient Risk of Event or
Outcome
Risk Model Development
1000s of Patient Features
• Age
• Gender
• Geography
• Income (Census)
• Education (Census)
• Race (Census)
• Diagnoses
• Procedures
• Chronic conditions
• Visit and admission history
• Outpatient medications
• Vital signs
• Lab orders and results
• Radiology orders
Multivariate Statistical Modeling –
Decision Tree Analysis
Machine Learning
Available Risk Models
Population Risk Models
(predicts future 12 months)
• Predicted Future Cost
• Risk of Inpatient Admission
• Risk of ED Visit
• Risk of AMI
• Risk of Asthma
• Risk of CHF
• Risk of COPD
• Risk of CVA
• Risk of Diabetes
• Risk of Hypertension
• Risk of Mortality
Event Based Risk Models
(predicts future 30 days)
• Risk of 30 day Readmission
• Risk of 30 day ED Return
HIE Analytic Predictive Model Design
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Readmission/ED Return Management
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Shows the timing of
each encounter along
with the risk scores
increasing over time.
Risk Score Profile Details
Shows the timing of the
actual cost with predicted
future cost increasing.
Clinical
information and
factors that are
driving the risk
scores.
Individual Patient Risk Summary
Patient Risk Care Management
• 3 Primary Care RN Care Managers responsible for 24,000 patients
• Assess real-time risk scores daily, including risk for readmission, ED visit, disease,
high cost and mortality.
• Practice sets thresholds for each risk category to flag high-risk patients.
• Care managers proactively reach out to high-risk patients to provide education and
manage care gaps.
Low Risk
Med Risk
High Risk
@2016 HealthInfoNet
(HIN) – All Rights
Reserved HIN Proprietary
– Not for Redistribution
31
Future Opportunities for SDoH Data
• HIE Connection with Maine’s HMIS- Homeless
Management Information System
• Combine State Services & HIE EMPI
• Opt-In Structure for “non-covered entity” SDoH
data (example: CAA data)
• EHR use of new ICD-10 Z codes for “Factors
influencing health status and contact with health
services (Z00-Z99)”
@2017 HealthInfoNet (HIN) – All Rights Reserved
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Maine HIE- What works well
1. HIE Interface standards: HL7 v2 discrete data
– Robust standardization process
2. HIE Data Aggregation Model
3. HIE State Designation & Consent Framework
4. Statewide EMPI (MRN’s linked with
demographics/claims etc.)
5. Data flexibility for SDoH (use flat files with
EMPI)
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Strength- Collaboration Framework
1. State law enables consent/trust framework
2. Standard HIE “Participant Agreement”
(includes BAA)
3. Community stakeholders are entrenched
4. State agencies are partners in moving the
needle forward
5. Data “use case” development includes the
customer team
@2017 HealthInfoNet (HIN) – All Rights Reserved
HIN Proprietary – Not for Redistribution 34
Connect with Us!
▪ Visit our website: allindata.org
▪ Sign up for news from All In
▪ Follow #AllInData4Health on Twitter
▪ Contact information for speakers
▪ Breione St. Claire: [email protected]
▪ Katie Sendze: [email protected]
Next Steps
▪ Share Your Feedback
Please complete the evaluation survey following the webinar
▪ Save the Date for the Next Project Showcase Webinar
Wednesday, August 30 from 2:00 - 3:00 pm ET