#hasummit14 session #30 breaking down silos: resolving academic, medical, and research interests...
TRANSCRIPT
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Session #30Breaking Down Silos: Resolving Academic, Medical, and
Research Interests Once and for All
PresenterPre-Session Poll Question
What describes my organization?
a) Integrated delivery systemb) Community hospitalc) Children’s hospitald) Academic medical centere) Accountable care organizationf) Physician groupg) Industry/Pharmah) Otheri) Not applicable
Samuel Volchenboum, MD, PhDAssistant Professor of PediatricsDirector, Center for Research InformaticsAssociate Chief Research Information OfficerUniversity of Chicago Medical Center
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The Problem
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It is difficult for an academic medical center to support clinical, educational, and research missions simultaneously.
Most academic programs rely on investigators or core services to provide support.
This often leads to siloing and an unfair appropriation of resources.
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In this session, you will learn….
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How an academic medical center can serve the three missions of clinical care,
research, and education
The pain points in developingenterprise-wide research services
The importance of top-down leadership for supporting research informatics
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The Setting
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• Adjacent to University of Chicago and Pritzker Medical School• 570 beds, 25,000 admissions, 492,000 outpatient visits, 78,000 ED visits• Physicians are employed by the University • One dean for the hospital, medical school, and biological sciences
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UChicago’s Situation in 2011
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Few centralized biomedical informatics resources existed within University of Chicago Medicine
There was a growing need for:
• Clinical data for research
• Bioinformatics resources
• Storage/Backup
• High-performance computing
• Clinical application development
• Informatics educational opportunities
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Establishing theCenter for Research Informatics
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Established office of the CRIO in 2011 - Six staff,
$10M, three-year investment
• HIPAA-secure, on-premises storage
• High-performance cluster computing
• Bioinformatics services
• Research data warehouse
• Application development
• Governance for research data
• Informatics education
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Center for Research Informatics2015
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Center for Research Informatics - 2015
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Applications Development and
Support
Applications Director
Software Engineers
Bioinformatics
Bioinformatics Director
PhD Bioinformaticians
Scientific Software Dev
IT Infrastructure
IT Director
Systems Administrators
Security
VM Specialists
HPC Specialist
Clinical Research Data Warehouse
CRDW Director
Data Specialists
Database Experts
ETL Developers
Deputy Director
Communications
Business
Administrator
Project Managers
Administration
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Storage and Backup
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BioinformaticsPublication-ready Results
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REDCapUsage continues to soar
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Clinical Research Data Warehouse
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Data from 2006 onward
Filled 350+ requests since 2012
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Poll Question #2
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On a scale from 1-5, how supportive of research is your institution?
1) Not at all supportive
2) Somewhat supportive
3) Moderately supportive
4) Supportive
5) Very supportive
6) Unsure or not applicable
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1. Patient Experience2. Clarity Team3. Patient Care Services4. Center for Research Informatics5. Quality Analytics6. Office of Managed Care
7. Epic program8. Procedural Services9. Ambulatory Services10. Physicians Group11. Office of Strategic Planning12. Hospital Analytics Program13. Budget Operations & Planning
Many, many groups providing data independently
Data Shopping
Users would submit requests to multiple places
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Data Shopping
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Analytics Core
2014 - Created single portal for all data requests
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Weekly meeting to review and triage requests
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Major 2015 Initiatives
• De-identified self-service data portal
• Full text clinic note search with NLP
• National sample enrollment and tracking for clinical trials
• Deployment of business intelligence infrastructure
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Our Metrics of Success
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Lowering barriers to research
Faculty utilization
Grants submitted/awarded
Papers published
Faculty recruitment
Educational opportunities
http://cri.uchicago.edu
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CRDW Apps Storage Biocore HPC Total0
275
550
825
11001003 unique users
Nu
mb
er
of
Use
rsEnterprise-wide impact
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Lessons Learned
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1. Develop your brand.
2. There can be no data without data governance.
3. Never underestimate researchers’ ability to hurt themselves with data.
4. Hire leaders with business experience. Expect to pay for talent…. it’s worth it. Meet with your direct reports often—be present.
5. Court the institutional leadership—it will pay off.
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Analytic Insights
AQuestions &
Answers
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Choose one thing…
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Write down one thing will you do differently after hearing this presentation
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Thank You
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Session Feedback Survey
1. On a scale of 1-5, how satisfied were you overall with this session?
1) Not at all satisfied
2) Somewhat satisfied
3) Moderately satisfied
4) Very satisfied
5) Extremely satisfied2. What feedback or suggestions do you have?
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Upcoming Sessions
Breakout Sessions – Wave 5 (2:20 PM – 3:05 PM)
31) Panel – Data Governance in Healthcare
32) How One ACO Is Using Analytics to Position Itself for Population Health Management and Shared SavingsJames J. Dearing, DO, FACOFP, FAAFP, Vice President, Chief Medical Officer, Honor Health
33) Panel – Best Practices in Achieving Physician Engagement
34) Panel – Precision Medicine and Embracing Variability
35) Improving Analytics and Processes to Ease Hospital CrowdingWes Elfman, Visualization Developer, Clinical and Business Analytics, Stanford Health CareTerrill Wolf, Manager, Data Architecture, Clinical and Business Analytics, Stanford Health Care
Imperial Ballroom B
Imperial Ballroom A
Grand Salon
Murano
Venezia
Location