Health Information Technology: Is Medicaid Keeping Pace?

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Presentation transcript:

Health Information Technology: Is Medicaid Keeping Pace? Mark Frisse, MD, MBA, MSc Director, Regional Initiatives, Vanderbilt Center for Better Health June 5th, 2006

What Is Efficiency? Goods or services per unit of effort required Efficiency is based on perspective Patient Provider Government Public Efficiencies for one may come at the expense of others

What We Do Not Want

Complexity: The Enemy MMIS Evolution and Trends 1975-2000 1975 1985 Reporting Systems (MARS and (SURS) Decision Support Systems (DSS) Ad Hoc Query Tools Extract Files Financial Data Warehouses Multidimensional Databases Web Analytics Executive Information Systems (EIS) World Wide Online Analytical Processing (OLAP) Enterprise Portals Data Mining Analytic Applications Relational 1975 1985 1990 1995 2000 Source: Modified from Data Warehousing and E-Commerce, William J. Lewis Claims Transaction System Immunization Registries Point of Service (POS) Pharmacy and EVS

Major Areas of Emphasis Saving Time Eligibility Measuring outcomes Fraud and abuse Saving money Fraud Better disease management Creating new opportunities From claims to clinical information

Opportunities Internal Medicaid and state systems Working with other clinical and administrative systems in delivery systems Working with other plans, states, Federal government Workforce development

Medicaid and State Systems MITA can work with other systems to ensure: Identity management Single entry; multiple use Enforcement of confidentiality and business rules Consumer portals; immunization records

Other Plans and States People move and change coverage A Personal health record for all Americans Consumer access Portability and standards are key Security and confidentiality concerns

Similarities with Commercial Plans Data standards Eligibility Credentialing Authorization and certification Disease management Outcomes measurement & analysis