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CMS’ Approach to E-Health Connectivity

This article discusses CMS's approach to e-health connectivity and the adoption of data standards in the healthcare industry. It explores the needs and expectations of providers, practitioners, and patients, as well as the incentives and technical assistance available for adoption. The article also highlights the role of quality measurement and process improvement in healthcare technology adoption.

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CMS’ Approach to E-Health Connectivity

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  1. CMS’ Approach to E-Health Connectivity HIPAA Summit October 30, 2002 William Rollow, MD MPH Deputy Director, Quality Improvement Group

  2. HEALTHCARE TECHNOLOGY ADOPTION Provider/Practitioner/Patient Needs Functional Expectations Data Standards Provider/Practitioner Value Proposition Perception Standards Adoption & Technology Development Incentives/Reporting Technical Assistance Provider/Practitioner Adoption

  3. CMS Information Expectations • Claims payment • Traditional FFS • Case-rate/prospective payment systems • Enforcement/survey process • Quality measurement • Process improvement • Research

  4. Quality Measurement • Use by providers/practitioners in assessing performance • Confidential use by QIOs in providing assistance to providers/practitioners • Public reporting • Examples: hospitals, physician offices, nursing homes, home health agencies, dialysis facilities

  5. Process Improvement • Systems which create the potential for substantial gains in performance • Examples: • CPOE • EMR • E-lab ordering/results reporting • E-prescribing • Registries • Guidelines written to create systems-implementable specifications

  6. HEALTHCARE TECHNOLOGY ADOPTION Provider/Practitioner/Patient Needs Functional Expectations Data Standards Provider/Practitioner Value Proposition Perception Standards Adoption & Technology Development Incentives/Reporting Technical Assistance Provider/Practitioner Adoption

  7. Consolidated Health Informatics Goals • To establish Federal health information interoperability standards as the basis for electronic health data transfer in all activities and projects and among all agencies and departments

  8. CHI Participation • About 20 partnering agencies currently include HHS (CMS, CDC, IHS, FDA, etc.), DOD, VA as well as Department of State, SSA, GSA and others. • Approximately 100 medical, technical, policy and management subject matter experts

  9. CHI Objectives • Adopt health information interoperability standards (a vocabulary that includes specific health data models and communication standards) • Assure alignment with Health Insurance Portability and Accountability Act (HIPAA) administrative transaction records and code sets • Assure alignment with HIPAA security and privacy solutions • Successful change in the medical information sharing culture

  10. CHI Strategy • Adopt common health information standards among all of the health-related Federal departments and agencies • Encourage and attract adoption of similar standards by other public and private sector entities • Create a “tipping point” to catalyze the widespread adoption of common health information standards

  11. CHI Standards In Process • Lab ordering – LOINC • Messaging – HL7 • Others earlier in process: • Lab results • Medications • Imaging • Diagnoses, Procedures • Population reporting

  12. HEALTHCARE TECHNOLOGY ADOPTION Provider/Practitioner/Patient Needs Functional Expectations Data Standards Provider/Practitioner Value Proposition Perception Standards Adoption & Technology Development Incentives/Reporting Technical Assistance Provider/Practitioner Adoption

  13. Reasons to Support Electronic Information • Reduces the cost of data collection/reporting for providers/practitioners • QI • Research • Standardizes data specifications • Supports process changes leading to substantial improvements in care

  14. Pull Strategies • Incentives • Coordinated purchaser initiatives - Leapfrog, etc • Payment demonstrations • Consumer information/public reporting • Technical assistance • Make public domain systems available • Create initiatives which support learning and sharing about systems adoption and process improvement

  15. Research • www.cms.gov/data/default.asp • De-identified claims by provider type • Identified claims, enrollment, MDS, OASIS • ResDAC – free assistance on accessing and using Medicare/Medicaid data • Workshops • Telephone consultation • www.resdac.umn.edu • QIO – in process of developing ability to offer de-identified QIO data linked to claims data sets

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