Capability | Details | Benefits |
C1: Standardize data extraction mechanism from clinical data sources to populate data marts. (Impacts Step 1 of the PCORnet Abstract Model) | - Leverage the DAF FHIR profiles from Phase 1 and create an ETL Implementation Guide to extract data from clinical systems using standards
- Create a Mapping between DAF FHIR profiles and PCORnet CDM to help populate the Data Mart
| - Reduces the CDRN, PPRN data source onboarding time
- Reduces the burden of maintaining ETL’s and customary data mappings for each data source
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C2: Standardize metadata about data marts, CDRN’s, PPRN’s and data sources. (Impacts Step 2 of the PCORnet Abstract Model) | - Leverage the existing PCORnet data mart definitions allowing for appropriate modifications and publish them as existing or new FHIR resources.
| - Provides dynamic capability to researchers to determine data characteristics of a data source, data mart or a network.
- Aids in researcher decision making in terms of CDRN/PPRN/research activity selection along with needed outreach
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C3: Standardize Query Distribution mechanism (Impacts Step 3 of the PCORnet Abstract Model) | - Leverage the existing PCORnet query distribution mechanism allowing for appropriate modifications and publish them as existing or new FHIR resources
| - Provides researcher ability to query CDRNs, PPRNs which may be using different vendor implementations
- CDRNs/PPRNs can participate in multiple research networks simultaneously
- Enables use of common security and privacy controls across networks
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C4: Standardize Query Results for returning aggregate data. (Impacts Step 5 of the PCORnet Abstract Model) | - Leverage the existing PCORnet query results mechanism allowing for appropriate modifications and publish them as existing or new FHIR resources
| - Provides researcher ability to consume results from CDRNs, PPRNs which may be using different vendor implementations
- CDRNs/PPRNs can participate in multiple research networks simultaneously
- Enables use of common security and privacy controls across networks
- Enables use of the data marts for multiple purposes such as quality reporting, bio-surveillance, population health etc.
- Enables a platform to develop Visualization and Analytical tools
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C5: Standardize Query Results for returning de-identified or identified patient data (Impacts Step 5 of the PCORnet Abstract Model) | - Leverage the existing PCORnet query results mechanism allowing for appropriate modifications and publish them as existing or new FHIR resources
| - Provides researcher ability to consume results from CDRNs, PPRNs which may be using different vendor implementations
- CDRNs/PPRNs can participate in multiple research networks simultaneously
- Enables use of common security and privacy controls across networks
- Enables use of the data marts for multiple purposes such as quality reporting, bio-surveillance, population health, public health etc.
- Enables a platform to develop Visualization and Analytical tools
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C6: Standardize Query Structure and Queries for identifying cohorts/populations (Impacts Step 4 of the PCORnet Abstract Model) | - Use Queries based on DAF Phase 1 and Phase 2 FHIR profiles to promote standardized queries for common use cases
| - Ability to execute the common use cases with pre-approved standard queries
- Provides researcher ability to query different CDRNs, PPRNs which may be using different vendor implementations
- CDRNs/PPRNs can participate in multiple research networks simultaneously
- Enables use of common security and privacy controls across networks
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