UCSF Informatics Day 2014 - Doug Berman, "A Brief Tour of UCSF’s Clinical Data Sources and Resources"
 

UCSF Informatics Day 2014 - Doug Berman, "A Brief Tour of UCSF’s Clinical Data Sources and Resources"

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  • Request used in analysis, sometimes to recruit patients <br />
  • A demonstration this afternoon and a booth in the hall. <br /> Caveat Emptor
  • Our first training was in April and a second is planned for August. <br />
  • Resources are here today. Please listen to our talks about the tools. Visit the booths. Give us direction about your work and your needs. <br /> Start a conversation what else we need to create.

UCSF Informatics Day 2014 - Doug Berman, "A Brief Tour of UCSF’s Clinical Data Sources and Resources" UCSF Informatics Day 2014 - Doug Berman, "A Brief Tour of UCSF’s Clinical Data Sources and Resources" Presentation Transcript

  • A Brief Tour of UCSF’s Clinical Data Sources and Resources June 10, 2014 Informatics Day Douglas Berman Deputy Director Academic Research Systems
  • Informatics Day • Tools and technology support researchers in their work • EHR data is available to support our discovery mission • Ensure our use of data is accurate, understandable, secure, and protects patient privacy 2
  • Overview • What information resources are available? • How can researchers use these resources? • Where you can learn about them today? 3
  • APeX • Now in its third year as our primary clinical documentation tool • Data for over 440,000 patients • Over 7 Million encounters (Epic encounters are interactions between patients and UCSF) 4
  • Integration of Systems • APeX is highly integrated and will continue to become more integrated • 100 interfaces were built at go-live • Additional integration in progress • OnCore CTMS • SalesForce • Integration of clinical systems • Supports patient care • Improves business • Creates rich data sets that are can support research activities • EDW • Will create an environment to support analysis 5
  • Tools and data access • APeX for researchers • IDR and UC-ReX • Research Data Browser • APeX Reports • Data Consultation Requests • Sensei Program 6
  • Caché Epic Production Server Clarity Microsoft SQL Server APeX Reports
  • APeX Reports • For users of APeX often linked to workflow • Operational reports • Radar Dashboards • Reporting Workbench • Crystal Reports 8
  • 9 Caché Epic Production Server Clarity Microsoft SQL Server IDR SQL Server HIPAA LDSAPeX Reports MyResearch
  • IDR 10 • De-identified repository allows identification and sizing of cohorts • Easy to use • Embeds standard ontologies (ICD, CPT, RX-Norm) • IDR • 7 dimensions • APeX data • School of Dentistry data Improved
  • 11 Caché Epic Production Server Clarity Microsoft SQL Server IDR UC ReX SQL Server HIPAA LDS SHRINE HIPAA LDS APeX Reports UCSF UCSD UCD UCI UCLA MyResearch
  • UC-ReX 12 • De-identified repository allows identification and sizing of cohorts • Easy to use • Embeds standard ontologies (ICD, CPT, RX- Norm) uniform across 5 UC Medical Campuses • UC-Rex • 4-dimensions with consistent meaning • over 13-Million patients • Trust and rely at IRB’s
  • 13 Caché Epic Production Server Clarity Microsoft SQL Server IDR UC ReX SQL Server HIPAA LDS SHRINE HIPAA LDS APeX Reports Data Extract Request UCSF UCSD UCD UCI UCLA MyResearch
  • Data Consultation Requests • Data is retrieved by an analyst through a request. • De-identified or identifiable with CHR-approved Protocol • SFGH Or APeX data • The analyst assists in finding data and providing an extract • Often an interactive process • Supports CTSI - Data Consultation Services & SF Coordinating Center • Data extracts, data analysis, study design, participant recruiting, etc. 14
  • 15 Caché Epic Production Server Clarity Microsoft SQL Server IDR UC ReX Cogito Clinical Data Warehouse SQL Server Research Data Browser SQL Server HIPAA LDS SHRINE HIPAA LDS APeX Reports Data Extract Request UCSF UCSD UCD UCI UCLA MyResearch
  • Research Data Browser • De-identified view of APeX displayed graphically • Identify and characterize populations of patients • Based on Epic CDW uses native APeX terminology • Web-based • More information and more complexity than IDR or ReX 16 NEW!
  • 17 Caché Epic Production Server Clarity Microsoft SQL Server IDR UC ReX Cogito Clinical Data Warehouse SQL Server Research Data Browser SQL Server HIPAA LDS SHRINE HIPAA LDS APeX Reports Data Extract RequestSensei Program UCSF UCSD UCD UCI UCLA MyResearch
  • Sensei Program • Our Sensei are a community of data and reporting experts who develop a deep understanding of APeX and how our workflows are reflected in data • Program components: • UCSF-specific training • Regular learning sessions • UCSF Data Wiki / • Replaces Epic training – for select users 18
  • 19 Caché Epic Production Server Clarity Microsoft SQL Server IDR UC ReX Cogito Clinical Data Warehouse SQL Server Research Data Browser SQL Server HIPAA LDS SHRINE HIPAA LDS APeX Reports Data Extract RequestSensei Program UCSF UCSD UCD UCI UCLA MyResearch
  • Methods compared Method Ease of use Depth of Data UsesStandard Terminology Scope of Data Use Restrictions IDR ▲▲ ▼ ▲▲ APeXandSchool ofDentistry Few (Data is deidentified) UC-ReX ▲▲ ▼ ▲▲ EHRfor5UC MedCampuses Few (Data is deidentified) Research Browser ▲ ▲▼ ▲ APeXOnly Few (Data is deidentified) APeX Reports ▲▲ ▲▼ ▲▼ APeXOperations As appropriate to role Data Extract Service ▲ ▲▲ ▲▼ EHRdata APeX andSFGH Identifiable with approved protocol Sensei Program ▼ ▲▲▲ ▲▼ APeXOnly As appropriate to role or w/ approved protocol 20
  • The beginning… 21