AoU |
All of Us Research Program |
ATC |
Anatomical Therapeutic Chemical; classification scheme for drug data |
Available Fields |
Lists all fields present within the program data model with relevant metadata, including a description, the data provenance, and whether the field was impacted by privacy methods |
CDM |
Common Data Model |
CDR | Curated Data Repository |
Cleaning & Conformance |
Details cleaning and conformance rules run between CDR_base and CDR to shape data to adhere to clean norms and expectations. |
Cohort |
Selected group of participants you are interested in researching; created through Cohort Builder tool |
Concepts |
Information in a patient’s medical record including diagnosed conditions (“conditions”), prescribed medications (“drugs”), or recorded physical measurements (“measurements”) |
Concept Generalizations |
Details all concepts (rows) which are generalized in the data model with relevant metadata, including the Concept ID, the data provenance, a description of the generalization applied, and the expected generalization output |
Concept Set |
A saved collection of concepts from a particular |
Concept Suppressions |
Details all concepts (rows) which are suppressed (removed) from the data model with relevant metadata, including the Concept ID and the data provenance |
Core Participant |
A participant who has consented to providing EHR data has completed the 3 main surveys |
CPT Codes |
Current Procedural Terminology; a list of descriptive terms and identifying numeric codes used by physicians and health care professionals for the billing of medical services and procedures |
DRC |
Data and Research Center |
DV |
Direct Volunteer; a participant who did not register through an HPO location |
EHR |
Electronic health record |
FHIR |
Fast Healthcare Interoperability Resources |
Field Generalizations |
Details all fields (columns) which are generalized in the data model with relevant metadata, including a field description, the data provenance, a description of the generalization applied, and the expected generalization output |
Field Suppressions |
Details all fields (columns) which are suppressed (set to null) in the data model with relevant metadata, including a description and the data provenance |
HPO |
Health provider organization |
ICD Codes |
International Classification of Diseases; used in the United States to classify diseases, illnesses, or injuries |
Jupyter Notebook |
An open-source web application that supports interactive data science and computations; contains computer code (Python and R) and text rich elements |
Kernel |
A “computational engine” operating within notebooks; executes codes within notebook |
LOINC |
Logical Observation Identifiers Names and Codes; it is used by health care provider organizations to code laboratory test orders and results. For example, 2345-7 is the code used for the amount of glucose measured in blood during a blood test |
Medical Concepts |
Medical concepts describe information in a patient’s medical record, such as a condition they have, a doctor’s diagnosis, a prescription they are taking, or a procedure or measurement the doctor performed |
NIH |
National Institutes of Health |
OHDSI |
Observational Health Data Sciences and Informatics |
OMOP |
Observational Medical Outcomes Partnership |
Participant |
Individual who has registered for the program, but not necessarily provided consent or completed surveys |
PDR | Program Data Repository |
PPI |
Participant Provided Information |
PTSC |
Participant Technology Systems Center; provides mobile applications and websites for participants to enroll in All of Us, provide data, and receive updates |
RBR |
Represented in biomedical research |
RDR |
Raw Data Repository |
RxNorm |
Naming system for all medications available in the U.S. market; the RxNorm name of each drug is a compilation of its active ingredients, strength, and form |
SNOMED |
Systematized Nomenclature of Medicine; connects the various terminology, medical codes, synonyms, and definitions used among different electronic health records (EHRs) so that they can be matched up for later reference |
Source Vocabulary |
The original classification system in a participant’s EHR used for categorization of conditions, diagnoses, and procedures (e.g., ICD-9 and ICD-10CM codes) when it first enters our system. Source vocabularies are retained after being “mapped” to standard vocabularies so that data can still be searched using the original terminology or codes |
Standard Vocabulary |
A classification system that incorporates different source vocabularies into one system by “mapping” multiple terms or codes to a common vocabulary to facilitate and optimize data analysis |
Table Suppressions |
Details all tables which are suppressed (not available) in the data model |
UBR |
Under-represented in biomedical research |
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