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Clinical Data Services The eQUIP Platform for Healthcare Quality

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Provider of software & implementation expertise for EMR ... Over 1000 installations. 20,000 clinicians. 30 million patient records. 49 states ... – PowerPoint PPT presentation

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Title: Clinical Data Services The eQUIP Platform for Healthcare Quality


1
Clinical Data ServicesThe eQUIP Platform for
Healthcare Quality Safety
  • Tom Ricciardi PhD
  • November 6, 2009

2
History of Work Related to EQUIP
  • Planning assistance during the grant process
    budgets, systems, services needed
  • Provider of software implementation expertise
    for EMR
  • Data Warehousing planning early stage
    implementation

3
Centricity Physician Office
  • Electronic Medical Record
  • Over 1000 installations
  • 20,000 clinicians
  • 30 million patient records
  • 49 states
  • Mid-large size group practices
  • Majority PCPs
  • 85 FP, IM, Ob/Gyn/Peds
  • Niche specialties also

4
GE Clinical Data Services
Quality Improvement Outcomes Research
  • Data Warehousing

Clinical Informatics
5
GE Contributions to EQUIP
  • Defining quality measures translating from
    clinical to technical specifications
  • Creating reports in development/test systems
  • Building data warehouse infrastructure
  • User roles access rights for data warehouse
  • Coordination project management between ACCHS,
    AMA, GE

6
Summary of Challenges
  • Quality measurement hasnt been done on a wide
    scale using ambulatory EMR
  • Working across one HUGE organization, one large
    organization, and one small organization to
    coordinate activities
  • Timelines resources

7
Alliance of Chicago Best Practices
  • Defining metrics of success in the beginning
  • Planning ahead for data requirements
  • Data Capture with EMR
  • Population Reporting
  • Leveraging shared infrastructure common goals
  • ASP EMR
  • Data warehouse MQIC consortium
  • Diligent project management
  • Committed talented people on the team ?

8
Future Work
  • Completion of reports, testing
  • Data warehouse infrastructure
  • Parallel implementation with EMR
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