Page 19 of 28. Showing 277 results (0.007 seconds)
275. Special administrative functions
system and the NAT interface that connects to the internet. However, in order to allow the i2b2 Workbench and Web Client (which is, in fact, running … the project and users configuration from i2b2 Wizard, which is in fact kept. The removal of the two schemata is only applicable if you want to fix a new i2b2 hiveOntoMapper_paper_submission_AMIA_2010_CRI_Summit.pdf
their relationship to the i2b2 fact tables where the mapped data is harvested (Fig. 4). Map rules are textual data that contain an XML encoded mapping ruleC_TABLENAME
The _C_TABLENAME_ is the name of the dimension table that holds the metadata to fact linkings. Typical entries will be CONCEPT_CD, PATIENT_NUM, ENCOUNTER_NUM, or PROVIDER_ID.C_FACTTABLECOLUMN
The _C_FACTTABLECOLUMN_ is the name of a key in the fact table (OBSERVATION_FACT) that links to the dimension code we are querying for. Typical entries will be CONCEPT_CD, PATIENT_NUM, ENCOUNTER_NUM, or PROVIDER_ID.Research data request life cycle_7_29_08.doc
that the process of recruitment will not be altered by the IDR, the fact that the PHI data is derived from the IDR will have a significant impact on the researcher’sResearch data request life cycle_8_12_08.doc
, the fact that the PHI data is derived from the IDR will have a significant impact on the researcher’s interaction with these systems. For example, a medicalResearch data request life cycle_km_7_18_08.doc
will not be altered by the IDR, the fact that the PHI data is derived from the IDR will have a significant impact on the researcher’s interaction with these systemsHOM Test Plan Requirements Specifications.doc
documentation delivery formats or standards.> Assumptions and Dependencies <List any assumed factors (as opposed to known facts) that could affectResearch data request life cycle_8_19_08.doc
, the fact that the PHI data is derived from the IDR will have a significant impact on the researcher’s interaction with these systems. For example, a medicalUse Case - Get PDO from PatientSet
Validate the user via the Project Management Cell Select the data mart based on the domain_id, project_id and user_id. Call Ontology Cell with the item key and determine the dimension table to join with the fact table. Using the given patient set or observation set, apply the panel filters and return PDO.