1. only run certain data quality checks when they are appropriate to the dataset (e.g., general population dataset)
2. display metadata within Achilles Web

Tablename: METADATA

This table is relying on concept_id's that exist for CDM tables. In Atlas, search for those using advanced search and selecting Metadata.

Example records:

We want to add the following column the table:

Also we want to add clarification to table CDM_SOURCE that one row in that table is expected.

Text below only reflects some historical notes related to the proposal above.

Proposing person: Patrick Ryan, Martijn Schuemie, Ajit Londhe, & Erica Voss

(may need to be updated)

Additionally we would like the CDM_SOURCE table to store metadata about each of the domains. Our idea is to implement it by adding an additional column for each domain in the CDM to the CDM_SOURCE table (i.e. CDM_SOURCE.VISIT_OCCURRENCE, CDM_SOURCE.PERSON, etc). The value this brings is this will allow us to display information about a specific domain on an ACHILLES report. For example, VISIT_OCCURRENCE logic in PREMIER is fairly complex and displaying a description of that logic at the point where someone is reviewing the data in ACHILLES would be beneficial.

Here is an example of some text for JMDC:

(already has a column) JMDC database consists of data from 60 Society-Managed Health Insurances covering workers aged 18 to 65 and their dependents (children younger than 18 years old and elderly people older than 65 years old). The old people (particularly those aged 66 or older) are less representative as compared with whole population in the nation. When estimated among the people who are younger than 66 years old, the proportion of children younger than 18 years old in JMDC is approximately the same as the proportion in the whole nation. JMDC data includes data on membership status of the insured people and claims data provided by insurers under contract. Claims data are derived from monthly claims issued by clinics, hospitals and community pharmacies.

JMDC covers workers aged 18 to 65 and their dependents (children younger than 18 years old and elderly people older than 65 years old). The old people (particularly those aged 66 or older) are less representative as compared with whole population in the nation. When estimated among the people who are younger than 66 years old, the proportion of children younger than 18 years old in JMDC is approximately the same as the proportion in the whole nation. Only the year of birth is available, so not the day or month.

The observation period is defined as the time of enrollment in the health insurance. If the member is a dependent, the enrollment depends on the enrollment of the main beneficiary.

Care sites in JMDC are institutions where care is provided, typically a department in a hospital.

• clarify that one row is expected in this table
• add column DATASET_TYPE_CONCEPT_ID Definition: Reference to concept_id in OHDSI/OMOP Terminology (class = “Dataset Type”) that indicates what type of data is in the dataset. Set to NULL if none of the concepts correctly characterizes the data. For large samples of specialized population by insurance (e.g., US Medicaide, use general population concepts)
  • Values are: General population EHR data, General population claims data, General Population EHR + Claims Data, Clinical Trial Data

Advanced Data Quality checks (inside Achilles Heel) would take advantage of this information in this new column.

• if you don't want to (or can't) declare the type of data, use concept_0 (*)
• Clinical trial data (dataset type) (*)
• Multiple sources (dataset type)
• Registry data (dataset type)
• Predominantly Electronic Health Record data (dataset type)
• Predominantly Administrative/Claims data (dataset type)
• Predominantly Health Information Exchange data (dataset type)
• Data limited to a single medical specialty/clinical domain, not covering general population (dataset type)

Proposing person: Ajit Londhe, & Erica Voss

We would like to propose the following table to hold metadata:

Tablename: METADATA

Example records:

NOTES original table was