Identifying Opportunities To Maximize the Utility of Genomics Research Data Through Electronic Health Information Exchange Meeting Summary Andrew Dorfmann and Jessica Nadler 10/15/2009
Data & Information Infrastructure
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Literature Review and Environmental Scan: Evaluation of Personal Health Records Pilots for Fee-for-Service Medicare Enrollees
Developing a Framework to Guide Genomic Data Sharing and Reciprocal Benefits to Developing Countries and Indigenous Peoples: A Colloquium
Developing a Framework to Guide Genomic Data Sharing and Reciprocal Benefits to Developing Countries and Indigenous Peoples: A Colloquium January 7-8, 2009 Georgetown University, Washington, DC
Report
Measuring Income and Poverty in Four Surveys: an Overview
Policy makers use national surveys to paint a picture of the U.S. population along a variety of dimensions. If major surveys are equally successful in capturing income, then, for the same time period, populations and income types, consistently defined income estimates and poverty rates across surveys will be highly similar varying somewhat due to sampling error.
Health Information Exchange in Post-Acute and Long-Term Care Case Study Findings: Final Report
U.S. Department of Health and Human Services Health Information Exchange in Post-Acute and Long-Term Care Case Study Findings: Final Report Executive Summary
Personalized Health Care Expert Panel Meeting: Summary Report
Contents Demonstrating Clinical Validity and Utility Demonstrating Value Reducing Health Disparities Educating and Engaging Providers and Consumers Using Databases to Build Eviden
Taxonomy of Health Information Technology Functions in Home Health Agencies - Report C: Review by Representatives from Home Health Agencies and Vendors
This is the third report in a series describing the findings from stakeholders. The background on the taxonomy development is described in more detail in Report A and it is the expectation of the authors that these reports would be read as a set.
How Risky is Individual Health Insurance?
This paper describes the relationship between the type of insurance coverage a person has in one period and the likelihood of becoming uninsured in the next.
Standardizing the MDS with LOINC and Vocabulary Matches
U.S. Department of Health and Human Services Standardizing the MDS with LOINC® and Vocabulary Matches