Elusive claims data hold promise for healthcare research

Elusive claims data hold promise for healthcare research

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Access through your institution Buy or subscribe As the US government reworks the country's healthcare delivery system, information relating to insurance claims is quickly becoming a hot commodity. In January, the US Department of Health and Human Services (HHS) announced a plan to construct a nationwide database of public and private insurance claims data for use in healthcare research. The Federal Coordinating Council for Comparative Effectiveness Research (CER) will use stimulus funding to construct the database for CER, a type of research popular with healthcare reform proponents that analyzes the benefits, risks and/or costs of various medical procedures to determine the best treatment for a given condition. This is a preview of subscription content, access via your institution ACCESS OPTIONS Access through your institution Subscribe to this journal Receive 12 print issues and online access $209.00 per year only $17.42 per issue Learn more Buy this article * Purchase on SpringerLink * Instant access to full article PDF Buy now Prices may be subject to local taxes which are calculated during checkout ADDITIONAL ACCESS OPTIONS: * Log in * Learn about institutional subscriptions * Read our FAQs * Contact customer support AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * Durham, North Carolina Megan Scudellari Authors * Megan Scudellari View author publications You can also search for this author inPubMed Google Scholar RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Scudellari, M. Elusive claims data hold promise for healthcare research. _Nat Med_ 16, 141 (2010). https://doi.org/10.1038/nm0210-141a Download citation * Issue Date: February 2010 * DOI: https://doi.org/10.1038/nm0210-141a SHARE THIS ARTICLE Anyone you share the following link with will be able to read this content: Get shareable link Sorry, a shareable link is not currently available for this article. Copy to clipboard Provided by the Springer Nature SharedIt content-sharing initiative

Access through your institution Buy or subscribe As the US government reworks the country's healthcare delivery system, information relating to insurance claims is quickly becoming a


hot commodity. In January, the US Department of Health and Human Services (HHS) announced a plan to construct a nationwide database of public and private insurance claims data for use in


healthcare research. The Federal Coordinating Council for Comparative Effectiveness Research (CER) will use stimulus funding to construct the database for CER, a type of research popular


with healthcare reform proponents that analyzes the benefits, risks and/or costs of various medical procedures to determine the best treatment for a given condition. This is a preview of


subscription content, access via your institution ACCESS OPTIONS Access through your institution Subscribe to this journal Receive 12 print issues and online access $209.00 per year only


$17.42 per issue Learn more Buy this article * Purchase on SpringerLink * Instant access to full article PDF Buy now Prices may be subject to local taxes which are calculated during checkout


ADDITIONAL ACCESS OPTIONS: * Log in * Learn about institutional subscriptions * Read our FAQs * Contact customer support AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * Durham, North Carolina


Megan Scudellari Authors * Megan Scudellari View author publications You can also search for this author inPubMed Google Scholar RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS


ARTICLE CITE THIS ARTICLE Scudellari, M. Elusive claims data hold promise for healthcare research. _Nat Med_ 16, 141 (2010). https://doi.org/10.1038/nm0210-141a Download citation * Issue


Date: February 2010 * DOI: https://doi.org/10.1038/nm0210-141a SHARE THIS ARTICLE Anyone you share the following link with will be able to read this content: Get shareable link Sorry, a


shareable link is not currently available for this article. Copy to clipboard Provided by the Springer Nature SharedIt content-sharing initiative