APeX Data - IDR Integration and MyResearch

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APeX Data - IDR Integration and MyResearch –
An Update
March17, 2011
Douglas Berman
Research Program Manager,
Electronic Health Record
Douglas.Berman@ucsfmedctr.org
Sandeep Giri
Senior Product Manager,
Academic Research Systems
Sandeep.Giri@ucsf.edu
Opinder Bawa
Chief Technology Officer
Opinder.Bawa@ucsf.edu
Agenda
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
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
APeX Data – IDR Integration Update and Timeline
MyResearch Improvement Outline
Q&A
Next Steps
2
APeX – IDR Integration
3
Connecting APeX Data to the IDR
 Epic and IT team have agreed on an approach for
bringing Epic information into IDR
 APeX Data will be transformed and loaded into IDR
 Draft ready for estimates for cost and timing of
including APeX data into the IDR, will be refined over
next few weeks
4
APeX Information FlowClinicians to Researchers
Patient care
Epic
Production
Server
(Chronicles
Caché)
Clarity
Shadow
Server (Microsoft SQL Server)
• Operational and
financial reports
• Governmentmandated reporting
IDR
MyResearch
(Data Marts /
Ontologies)
Research
IDR and Clarity Environments
• Operational, financial and government mandated
reporting will occur out of Epic’s Operational Data
Store ‘Clarity’, research users will work in IDR
• Epic-provided reports and custom report
development in ‘Clarity’ are expected to be a
significant part of APeX implementation
• After operational data is brought into IDR, we need
to develop data marts, views, user training and
support to make data accessible and easier to use
IDR will Conform to i2b2
 i2b2 (Informatics for Integrating Biology and the Bedside)
– NIH-funded National Center for Biomedical Computing based at
Partners HealthCare System
– Scalable informatics framework; enables clinical researchers to
use existing clinical data for discovery research
– When combined with IRB-approved genomic data, facilitates
design of targeted therapies for individual patients with diseases
having genetic origins
– Currently enjoys wide international adoption by the CTSA network,
academic health centers, and industry
 Institutions with Epic and i2b2
–
–
–
–
–
–
UC Davis
Kaiser Permanente
University of Pennsylvania
Stanford
University of Rochester
UW
Proposed Data Access Categories in IDR
 De-Identified Data / Limited Data Sets
– Available for cohort selection
– Requires MyResearch account
 Identified Data
– Requires CHR approval for named data sets and also usage
– Differential usage or change of scope requires new approval
 “Finance” Data
– Requires another approval beyond CHR
– Need to establish governance body
8
Proposed Policy on Use of Data
 Access to UCSF data is provided to departments and individuals for
identified clinical-, business- and research-related purposes as
approved by medical center and campus administration
 We allow minimally necessary access to sensitive data when it is
required for authorized activities
– Need clear agreements, policies and procedures for data access and
governance
– Data User Agreement
 Access is restricted to users who are trained in the meaning and
appropriate use of data
 Unauthorized use or redistribution of data outside of approved uses
or to unauthorized parties is not permitted
– may result in loss of data access privileges
– other disciplinary action ???
9
Proposed Project Timeline – Phase 1
10
Phase 1 Scope and Deliverables
 Memorandum of Understanding (MOU) with Medical Center
regarding data use
 APeX data is available in I2B2 to trained and certified users
– Initial full load of APeX data to IDR
– Automated daily loads
 Data security and governance for APeX data in IDR
 Basic and advanced user training defined and prepared
 Key data views or marts mapped
– Patient Information: Demographics, Vital Stats, Insurance,
Household size, income
– Clinical Information: Encounter, Disposition/Discharge, Diagnosis,
Procedures, Labs, Medications, Radiology
 Process for creating and reviewing additional views
 Documentation / Training / Support
11
Phase 1 Tentative Resources and Budget
 ~725 Person Days
 Total Cost: ~$600K + Hardware/Software Costs TBD
 Will be refined over next 1-2 weeks
12
Phase 1 Risk Factors
 Overbooked resources
– Preferable resources assigned on other projects
– Will we be able to reallocate?
 Dependency on APeX launch dates
– Project assumes data availability on April 1st and October 1st
– Any APeX schedule change has an impact
 Refinements
– Technical task designs will get refined over implementation
– Design changes have an impact
13
MyResearch Improvements
14
MyResearch Today
Applications: Atlas.ti
SAS, STATA
Cohort Selection Tool
MyResearch
File and Document Tools
2010 MS Office
Applications
15
MyResearch Improvements
Synchronized with APeX-IDR Launch
 User Feedback from Survey
–
–
–
–
Didn’t know it existed
Takes too long to get an account
Difficult to use (“where are my files?”)
Does not have all the data/tools I need
 Short Term Fix: Usability!
– Automated Provisioning System: quicker process to get on
– Task-Oriented User Interface
– Streamlined document sharing
 Brand launch as “MyResearch 2.0” or “Next Generation”
– Synchronize with APeX-IDR integration phase 1 release
– Improved UI + New data + Automated feeds
16
MyResearch Future Phases
 New Tools
– Better Reporting and Data Visualization (Cognos?)
– Easier Document Sharing + Portal (Liferay+Alfresco?)
– R? Filemaker Pro?
 More Self-Serve Ability to Create Specialized
Research Data Marts
– Core Data Feed from IDR
– Combined with Other Data Feeds Specific to Research
– Integrate data from REDCap
 Establish Long Term Roadmap and Engage Users
in Process
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IDR & My Research – Big Picture
Business Intelligence
Data Warehousing
Epic
UCare
Flowcast
Worx
ED
MAR
Apollo
CoPath
Siemens
Radiology
End User Tools
Data Warehouse
Terminal
Servers
Epic
UCare
Will be replaced
by Epic
IDXrad
Misys
CTMS
Transplant
VA
Cancer
Registry
Kaiser
Axium
Kaiser
Axium
TSI
PICIS
TSI
PICIS
LPPI
EMR
SFGH
LPPI
EMR
SFGH
LPPI Transplant?
CTMS?
EMR
Cancer
VA
Registry
Audit
DB /
IDR
Proxy process and Load
Will have interfaces to
bring data into Epic
SAS,
Extract, Transfer
STOR
Replica
MyResearch Portal
Source Systems
SGD Web
top
STATA,
SPSS,
I2b2 Work
Bench
(DET),
Alias.ti,
Enterprise
Architect
Alfresco
REDCap
Cognos
BI
MyResearch Improvement Next Steps
 Requirements gathering and prioritization
– Steering Committee
– Focus Groups
 Resource Requirements, Project plan, and Budget
– Present project plan + estimates at next steering committee
meeting
– Synchronize first release with APeX-IDR project launch
19
Questions/Answers
20
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