Presentation Title
Transforming Maine’s All Payer Claims Database to an Internationally Used Common Data Model to Support Collaborative Research
Document Type
Poster Session
Department
Muskie School of Public Service
Faculty Mentor
Katherine Ahrens, PhD
Abstract
Health data sharing is hindered by the disparate nature of data sources and privacy concerns, therefore there is a critical need to standardize health data sources into a common data model that can be used for collaborative research. The Observational Medical Outcomes Partnerships (OMOP) Common Data Model is a standardized data model designed to accommodate various health-related data sources, such as administrative claims, electronic health records, survey data, and vital records. The OMOP common data model has been adopted internationally by health care researchers, and open source code allows for a transparent and reproducible process for generating evidence across sites. We are currently transforming Maine’s All Payer Claims Database (APCD) to the OMOP common data model. The APCD is a repository containing public and commercial claims data for nearly all residents of Maine since 2003, representing over 700 million individual claims. We are designing an extract, transform, and load process to convert the APCD into the common data model, a process which includes mapping eligibility information, diagnoses, procedures, and prescriptions filled to standard codes in the common data model. We will then test this conversion by comparing the prevalence of health outcomes using the original vs. converted data. Completing this project will allow us to join an international observational research community and participate in multisite analyses, while protecting the private health information of Maine residents.
Open Access?
1
Transforming Maine’s All Payer Claims Database to an Internationally Used Common Data Model to Support Collaborative Research
Health data sharing is hindered by the disparate nature of data sources and privacy concerns, therefore there is a critical need to standardize health data sources into a common data model that can be used for collaborative research. The Observational Medical Outcomes Partnerships (OMOP) Common Data Model is a standardized data model designed to accommodate various health-related data sources, such as administrative claims, electronic health records, survey data, and vital records. The OMOP common data model has been adopted internationally by health care researchers, and open source code allows for a transparent and reproducible process for generating evidence across sites. We are currently transforming Maine’s All Payer Claims Database (APCD) to the OMOP common data model. The APCD is a repository containing public and commercial claims data for nearly all residents of Maine since 2003, representing over 700 million individual claims. We are designing an extract, transform, and load process to convert the APCD into the common data model, a process which includes mapping eligibility information, diagnoses, procedures, and prescriptions filled to standard codes in the common data model. We will then test this conversion by comparing the prevalence of health outcomes using the original vs. converted data. Completing this project will allow us to join an international observational research community and participate in multisite analyses, while protecting the private health information of Maine residents.
