Observations
The MHDR is about Observations!
The observation_fact table is where all the actual data (“facts”) about the patient population are stored. This is the largest table in the i2b2 system, and the most vital to the function of the system.
The standardized i2b2 data structure allows any type of information to be stored in the observation_fact table.
observation_fact | |
Variable | Type |
ENCOUNTER_NUM | int |
PATIENT_NUM | int |
CONCEPT_CD | varchar |
PROVIDER_ID | varchar |
START_DATE | datetime |
MODIFIER_CD | varchar |
INSTANCE_NUM | int |
VALTYPE_CD | varchar |
TVAL_CHAR | varchar |
NVAL_NUM | decimal |
VALUEFLAG_CD | varchar |
QUANTITY_NUM | decimal |
UNITS_CD | varchar |
END_DATE | datetime |
LOCATION_CD | varchar |
OBSERVATION_BLOB | text |
CONFIDENCE_NUM | decimal |
UPDATE_DATE | datetime |
DOWNLOAD_DATE | datetime |
IMPORT_DATE | datetime |
SOURCESYSTEM_CD | varchar |
UPLOAD_ID | int |
authority | varchar |
The data in the MHDR is updated on a monthly basis. Information on the types and frequency of data can be found here.
Changes in data collection methods or priorities within the hospital over time will impact the amount of data available for a particular concept from year to year. These fluctuations in data density significantly impact outcomes measures, resulting in apparent “trends” that may be artifacts of the data.
The interactive chart above contains patient counts, concept counts, and concepts per patient counts for Adult Primary Care patients for concepts utilized in the domains of public health modeled within the MHDR. Researchers are encouraged to explore these trends in data quantity when evaluating measures generated from the MHDR HOME Cell.