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Healthcare Data & Analytics Survey Findings

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20 diapositives · 308 Views · Jul 13, 2014

Explore results from the eHI & CHIME survey on data usage in healthcare providers, covering areas such as types of data used, analytic functions, challenges, and more. Gain insights into organizational analytics requirements, key uses of data, and challenges faced.

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Healthcare Data & Analytics Survey Findings
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  1. Results from eHI & CHIME Survey Use of Data and Analytics by Providers Jennifer Covich Chief Executive Officer August 30, 2012

  2. CHIME Survey • eHI conducted a joint survey with CHIME to assess the use of data and analytics within hospitals and health networks. • Over 90 responses received during four-week period. • Areas of focus were: • types of data used • types of analytic functions used • types of functions needed • challenges to the use of data and analytics

  3. Respondents • CIO members of CHIME • Type of organizations • Community hospital (36%) • Multi-hospital (30%) • Academic medical center (16%) • Clinic (8%) • 73% of organizations reported annual revenues of more than $10,000,000

  4. Components of IT Infrastructure • Clinical Information System • Financial Information System • Laboratory Information System • Electronic Health Record (EHR) • Pharmacy Information System • Picture Archiving Communication System (PACS)

  5. Is Your Organization Part of an HIE? • Yes (54%) • No (46%)

  6. Actively Exchanged Data

  7. Using Software to Analyze Data • Yes (77%) • No (22%)

  8. Most Important Uses of Data • Clinician utilization and outcomes (30%) • Clinical excellence initiatives (21%) • Financial management (13%) • Operational efficiency (13%) • Patient care delivery (7%)

  9. Reported Uses of Data

  10. Where Majority of Analytical Resources are Directed

  11. Sources of Data Extracted for Historical Purposes

  12. Primary Analytic Functions

  13. Data Ownership • Organization (72%) • Patients (16%) • Providers (6%) • Don’t know (3%) • None of the above (4%)

  14. Organization Has What It Needs to Meet Analytics Requirements • Yes (28%) • No (72%)

  15. Challenges to Using Data and Analytics • Lack of standardized data across systems • Lack of a system infrastructure to support analytics • Cost of analytic software • Concerns about privacy and security of the data • Limited utility of the results to the organization

  16. Inappropriate Uses of EHR Data

  17. Issues Related to De-identification of Patient Data

  18. Most Named Data and Analytics Vendors • Allscripts • eClinical Works • Epic Systems, Inc. • Cerner • McKesson • Meditech • Siemens Healthcare

  19. Final Comments

  20. Questions?