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adding themis links to death table

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Clair Blacketer 2024-04-12 12:50:50 -04:00
parent 47701541de
commit 2f0bb8229c
4 changed files with 4 additions and 4 deletions
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2
inst/csv/OMOP_CDMv5.3_Field_Level.csv
View File

@ -179,7 +179,7 @@ observation,observation_source_concept_id,No,integer,"This is the concept repres
observation,unit_source_value,No,varchar(50),This field houses the verbatim value from the source data representing the unit of the Observation that occurred.,This code is mapped to a Standard Condition Concept in the Standardized Vocabularies and the original code is stored here for reference.,No,No,NA,NA,NA,NA,NA
observation,qualifier_source_value,No,varchar(50),This field houses the verbatim value from the source data representing the qualifier of the Observation that occurred.,This code is mapped to a Standard Condition Concept in the Standardized Vocabularies and the original code is stored here for reference.,No,No,NA,NA,NA,NA,NA
death,person_id,Yes,integer,NA,NA,No,Yes,PERSON,PERSON_ID,NA,NA,NA
death,death_date,Yes,date,The date the person was deceased.,"If the precise date include day or month is not known or not allowed, December is used as the default month, and the last day of the month the default day.",No,No,NA,NA,NA,NA,NA
death,death_date,Yes,date,The date the person was deceased.,"If the precise date include day or month is not known or not allowed, December is used as the default month, and the last day of the month the default day. For additional conventions related to this field, please refer to the [THEMIS repository](https://ohdsi.github.io/Themis/tag_death_date.html). ",No,No,NA,NA,NA,NA,NA
death,death_datetime,No,datetime,NA,If not available set time to midnight (00:00:00),No,No,NA,NA,NA,NA,NA
death,death_type_concept_id,No,integer,"This is the provenance of the death record, i.e., where it came from. It is possible that an administrative claims database would source death information from a government file so do not assume the Death Type is the same as the Visit Type, etc.",Use the type concept that be reflects the source of the death record. [Accepted Concepts](https://athena.ohdsi.org/search-terms/terms?domain=Type+Concept&standardConcept=Standard&page=1&pageSize=15&query=).,No,Yes,CONCEPT,CONCEPT_ID,Type Concept,NA,NA
death,cause_concept_id,No,integer,"This is the Standard Concept representing the Person's cause of death, if available.","There is no specified domain for this concept, just choose the Standard Concept Id that best represents the person's cause of death.",No,Yes,CONCEPT,CONCEPT_ID,NA,NA,NA

1 cdmTableName cdmFieldName isRequired cdmDatatype userGuidance etlConventions isPrimaryKey isForeignKey fkTableName fkFieldName fkDomain fkClass unique DQ identifiers
179 note note_class_concept_id Yes integer A Standard Concept Id representing the HL7 LOINC Document Type Vocabulary classification of the note. Map the note classification to a Standard Concept. For more information see the ETL Conventions in the description of the NOTE table. [Accepted Concepts](https://athena.ohdsi.org/search-terms/terms?standardConcept=Standard&conceptClass=Doc+Kind&conceptClass=Doc+Role&conceptClass=Doc+Setting&conceptClass=Doc+Subject+Matter&conceptClass=Doc+Type+of+Service&domain=Meas+Value&page=1&pageSize=15&query=). This Concept can alternatively be represented by concepts with the relationship 'Kind of (LOINC)' to [706391](https://athena.ohdsi.org/search-terms/terms/706391) (Note). No Yes CONCEPT CONCEPT_ID NA NA NA
180 note note_title No varchar(250) The title of the note. NA No No NA NA NA NA NA
181 note note_text Yes varchar(MAX) The content of the note. NA No No NA NA NA NA NA
182 note encoding_concept_id Yes integer This is the Concept representing the character encoding type. Put the Concept Id that represents the encoding character type here. Currently the only option is UTF-8 ([32678](https://athena.ohdsi.org/search-terms/terms/32678)). It the note is encoded in any other type, like ASCII then put 0. No Yes CONCEPT CONCEPT_ID NA NA NA
183 note language_concept_id Yes integer The language of the note. Use Concepts that are descendants of the concept [4182347](https://athena.ohdsi.org/search-terms/terms/4182347) (World Languages). No Yes CONCEPT CONCEPT_ID NA NA NA
184 note provider_id No integer The Provider who wrote the note. The ETL may need to make a determination on which provider to put here. No Yes PROVIDER PROVIDER_ID NA NA NA
185 note visit_occurrence_id No integer The Visit during which the note was written. NA No Yes VISIT_OCCURRENCE VISIT_OCCURRENCE_ID NA NA NA

2
inst/csv/OMOP_CDMv5.3_Table_Level.csv
View File

@ -23,7 +23,7 @@ procedure_occurrence,CDM,No,PROCEDURE_,Yes,0,NA,"This table contains records of
device_exposure,CDM,No,DEVICE_,Yes,0,NA,"The Device domain captures information about a person's exposure to a foreign physical object or instrument which is used for diagnostic or therapeutic purposes through a mechanism beyond chemical action. Devices include implantable objects (e.g. pacemakers, stents, artificial joints), medical equipment and supplies (e.g. bandages, crutches, syringes), other instruments used in medical procedures (e.g. sutures, defibrillators) and material used in clinical care (e.g. adhesives, body material, dental material, surgical material).","The distinction between Devices or supplies and Procedures are sometimes blurry, but the former are physical objects while the latter are actions, often to apply a Device or supply.",Source codes and source text fields mapped to Standard Concepts of the Device Domain have to be recorded here.
measurement,CDM,No,MEASUREMENT_,Yes,0,NA,"The MEASUREMENT table contains records of Measurements, i.e. structured values (numerical or categorical) obtained through systematic and standardized examination or testing of a Person or Person's sample. The MEASUREMENT table contains both orders and results of such Measurements as laboratory tests, vital signs, quantitative findings from pathology reports, etc. Measurements are stored as attribute value pairs, with the attribute as the Measurement Concept and the value representing the result. The value can be a Concept (stored in VALUE_AS_CONCEPT), or a numerical value (VALUE_AS_NUMBER) with a Unit (UNIT_CONCEPT_ID). The Procedure for obtaining the sample is housed in the PROCEDURE_OCCURRENCE table, though it is unnecessary to create a PROCEDURE_OCCURRENCE record for each measurement if one does not exist in the source data. Measurements differ from Observations in that they require a standardized test or some other activity to generate a quantitative or qualitative result. If there is no result, it is assumed that the lab test was conducted but the result was not captured.","Measurements are predominately lab tests with a few exceptions, like blood pressure or function tests. Results are given in the form of a value and unit combination. When investigating measurements, look for operator_concept_ids (<, >, etc.).","Only records where the source value maps to a Concept in the measurement domain should be included in this table. Even though each Measurement always has a result, the fields VALUE_AS_NUMBER and VALUE_AS_CONCEPT_ID are not mandatory as often the result is not given in the source data. When the result is not known, the Measurement record represents just the fact that the corresponding Measurement was carried out, which in itself is already useful information for some use cases. For some Measurement Concepts, the result is included in the test. For example, ICD10 CONCEPT_ID [45548980](https://athena.ohdsi.org/search-terms/terms/45548980) 'Abnormal level of unspecified serum enzyme' indicates a Measurement and the result (abnormal). In those situations, the CONCEPT_RELATIONSHIP table in addition to the 'Maps to' record contains a second record with the relationship_id set to 'Maps to value'. In this example, the 'Maps to' relationship directs to [4046263](https://athena.ohdsi.org/search-terms/terms/4046263) 'Enzyme measurement' as well as a 'Maps to value' record to [4135493](https://athena.ohdsi.org/search-terms/terms/4135493) 'Abnormal'."
observation,CDM,No,OBSERVATION_,Yes,0,NA,"The OBSERVATION table captures clinical facts about a Person obtained in the context of examination, questioning or a procedure. Any data that cannot be represented by any other domains, such as social and lifestyle facts, medical history, family history, etc. are recorded here.","Observations differ from Measurements in that they do not require a standardized test or some other activity to generate clinical fact. Typical observations are medical history, family history, the stated need for certain treatment, social circumstances, lifestyle choices, healthcare utilization patterns, etc. If the generation clinical facts requires a standardized testing such as lab testing or imaging and leads to a standardized result, the data item is recorded in the MEASUREMENT table. If the clinical fact observed determines a sign, symptom, diagnosis of a disease or other medical condition, it is recorded in the CONDITION_OCCURRENCE table. Valid Observation Concepts are not enforced to be from any domain but they must not belong to the Condition, Procedure, Drug, Device, Specimen, or Measurement domains and they must be Standard Concepts. <br><br>The observation table usually records the date or datetime of when the observation was obtained, not the date of the observation starting. For example, if the patient reports that they had a heart attack when they were 50, the observation date or datetime is the date of the report, the heart attack observation can have a value_as_concept which captures how long ago the observation applied to the patient.","Records whose Source Values map to any domain besides Condition, Procedure, Drug, Specimen, Measurement or Device should be stored in the Observation table. Observations can be stored as attribute value pairs, with the attribute as the Observation Concept and the value representing the clinical fact. This fact can be a Concept (stored in VALUE_AS_CONCEPT), a numerical value (VALUE_AS_NUMBER), a verbatim string (VALUE_AS_STRING), or a datetime (VALUE_AS_DATETIME). Even though Observations do not have an explicit result, the clinical fact can be stated separately from the type of Observation in the VALUE_AS_* fields. It is recommended for Observations that are suggestive statements of positive assertion should have a value of 'Yes' (concept_id=4188539), recorded, even though the null value is the equivalent."
death,CDM,No,NA,No,NA,NA,"The death domain contains the clinical event for how and when a Person dies. A person can have up to one record if the source system contains evidence about the Death, such as: Condition in an administrative claim, status of enrollment into a health plan, or explicit record in EHR data.",NA,NA
death,CDM,No,NA,No,NA,NA,"The death domain contains the clinical event for how and when a Person dies. A person can have up to one record if the source system contains evidence about the Death, such as: Condition in an administrative claim, status of enrollment into a health plan, or explicit record in EHR data.",NA,"For specific conventions on how to populate this table, please refer to the [THEMIS repository](https://ohdsi.github.io/Themis/death.html)."
note,CDM,No,NA,Yes,0,NA,"The NOTE table captures unstructured information that was recorded by a provider about a patient in free text (in ASCII, or preferably in UTF8 format) notes on a given date. The type of note_text is CLOB or varchar(MAX) depending on RDBMS.",NA,"HL7/LOINC CDO is a standard for consistent naming of documents to support a range of use cases: retrieval, organization, display, and exchange. It guides the creation of LOINC codes for clinical notes. CDO annotates each document with 5 dimensions:
- **Kind of Document**: Characterizes the general structure of the document at a macro level (e.g. Anesthesia Consent)

1 cdmTableName schema isRequired conceptPrefix measurePersonCompleteness measurePersonCompletenessThreshold validation tableDescription userGuidance etlConventions
23 dose_era CDM No NA Yes 0 NA A Dose Era is defined as a span of time when the Person is assumed to be exposed to a constant dose of a specific active ingredient. NA Dose Eras will be derived from records in the DRUG_EXPOSURE table and the Dose information from the DRUG_STRENGTH table using a standardized algorithm. Dose Form information is not taken into account. So, if the patient changes between different formulations, or different manufacturers with the same formulation, the Dose Era is still spanning the entire time of exposure to the Ingredient.
24 condition_era CDM No NA Yes 0 NA A Condition Era is defined as a span of time when the Person is assumed to have a given condition. Similar to Drug Eras, Condition Eras are chronological periods of Condition Occurrence and every Condition Occurrence record should be part of a Condition Era. Combining individual Condition Occurrences into a single Condition Era serves two purposes: - It allows aggregation of chronic conditions that require frequent ongoing care, instead of treating each Condition Occurrence as an independent event. - It allows aggregation of multiple, closely timed doctor visits for the same Condition to avoid double-counting the Condition Occurrences. For example, consider a Person who visits her Primary Care Physician (PCP) and who is referred to a specialist. At a later time, the Person visits the specialist, who confirms the PCP's original diagnosis and provides the appropriate treatment to resolve the condition. These two independent doctor visits should be aggregated into one Condition Era. NA Each Condition Era corresponds to one or many Condition Occurrence records that form a continuous interval. The condition_concept_id field contains Concepts that are identical to those of the CONDITION_OCCURRENCE table records that make up the Condition Era. In contrast to Drug Eras, Condition Eras are not aggregated to contain Conditions of different hierarchical layers. The SQl Script for generating CONDITION_ERA records can be found [here](https://ohdsi.github.io/CommonDataModel/sqlScripts.html#condition_eras) The Condition Era Start Date is the start date of the first Condition Occurrence. The Condition Era End Date is the end date of the last Condition Occurrence. Condition Eras are built with a Persistence Window of 30 days, meaning, if no occurrence of the same condition_concept_id happens within 30 days of any one occurrence, it will be considered the condition_era_end_date.
25 metadata CDM No NA No NA NA The METADATA table contains metadata information about a dataset that has been transformed to the OMOP Common Data Model. NA NA
26 cdm_source CDM No NA No NA NA The CDM_SOURCE table contains detail about the source database and the process used to transform the data into the OMOP Common Data Model. NA NA
27 concept VOCAB No NA No NA NA The Standardized Vocabularies contains records, or Concepts, that uniquely identify each fundamental unit of meaning used to express clinical information in all domain tables of the CDM. Concepts are derived from vocabularies, which represent clinical information across a domain (e.g. conditions, drugs, procedures) through the use of codes and associated descriptions. Some Concepts are designated Standard Concepts, meaning these Concepts can be used as normative expressions of a clinical entity within the OMOP Common Data Model and within standardized analytics. Each Standard Concept belongs to one domain, which defines the location where the Concept would be expected to occur within data tables of the CDM. Concepts can represent broad categories (like 'Cardiovascular disease'), detailed clinical elements ('Myocardial infarction of the anterolateral wall') or modifying characteristics and attributes that define Concepts at various levels of detail (severity of a disease, associated morphology, etc.). Records in the Standardized Vocabularies tables are derived from national or international vocabularies such as SNOMED-CT, RxNorm, and LOINC, or custom Concepts defined to cover various aspects of observational data analysis. NA NA
28 vocabulary VOCAB No NA No NA NA The VOCABULARY table includes a list of the Vocabularies collected from various sources or created de novo by the OMOP community. This reference table is populated with a single record for each Vocabulary source and includes a descriptive name and other associated attributes for the Vocabulary. NA NA
29 domain VOCAB No NA No NA NA The DOMAIN table includes a list of OMOP-defined Domains the Concepts of the Standardized Vocabularies can belong to. A Domain defines the set of allowable Concepts for the standardized fields in the CDM tables. For example, the "Condition" Domain contains Concepts that describe a condition of a patient, and these Concepts can only be stored in the condition_concept_id field of the CONDITION_OCCURRENCE and CONDITION_ERA tables. This reference table is populated with a single record for each Domain and includes a descriptive name for the Domain. NA NA

2
inst/csv/OMOP_CDMv5.4_Field_Level.csv
View File

@ -191,7 +191,7 @@ observation,value_source_value,No,varchar(50),This field houses the verbatim res
observation,observation_event_id,No,integer,"If the Observation record is related to another record in the database, this field is the primary key of the linked record.","Put the primary key of the linked record, if applicable, here. See the [ETL Conventions for the OBSERVATION](https://ohdsi.github.io/CommonDataModel/cdm60.html#observation) table for more details.",No,No,NA,NA,NA,NA,NA
observation,obs_event_field_concept_id,No,integer,"If the Observation record is related to another record in the database, this field is the CONCEPT_ID that identifies which table the primary key of the linked record came from.",Put the CONCEPT_ID that identifies which table and field the OBSERVATION_EVENT_ID came from.,No,Yes,CONCEPT,CONCEPT_ID,NA,NA,NA
death,person_id,Yes,integer,NA,NA,No,Yes,PERSON,PERSON_ID,NA,NA,NA
death,death_date,Yes,date,The date the person was deceased.,"If the precise date include day or month is not known or not allowed, December is used as the default month, and the last day of the month the default day.",No,No,NA,NA,NA,NA,NA
death,death_date,Yes,date,The date the person was deceased.,"If the precise date include day or month is not known or not allowed, December is used as the default month, and the last day of the month the default day. For additional conventions related to this field, please refer to the [THEMIS repository](https://ohdsi.github.io/Themis/tag_death_date.html). ",No,No,NA,NA,NA,NA,NA
death,death_datetime,No,datetime,NA,If not available set time to midnight (00:00:00),No,No,NA,NA,NA,NA,NA
death,death_type_concept_id,No,integer,"This is the provenance of the death record, i.e., where it came from. It is possible that an administrative claims database would source death information from a government file so do not assume the Death Type is the same as the Visit Type, etc.",Use the type concept that be reflects the source of the death record. [Accepted Concepts](https://athena.ohdsi.org/search-terms/terms?domain=Type+Concept&standardConcept=Standard&page=1&pageSize=15&query=). A more detailed explanation of each Type Concept can be found on the [vocabulary wiki](https://github.com/OHDSI/Vocabulary-v5.0/wiki/Vocab.-TYPE_CONCEPT).,No,Yes,CONCEPT,CONCEPT_ID,Type Concept,NA,NA
death,cause_concept_id,No,integer,"This is the Standard Concept representing the Person's cause of death, if available.","There is no specified domain for this concept, just choose the Standard Concept Id that best represents the person's cause of death.",No,Yes,CONCEPT,CONCEPT_ID,NA,NA,NA

1 cdmTableName cdmFieldName isRequired cdmDatatype userGuidance etlConventions isPrimaryKey isForeignKey fkTableName fkFieldName fkDomain fkClass unique DQ identifiers
191 note note_class_concept_id Yes integer A Standard Concept Id representing the HL7 LOINC Document Type Vocabulary classification of the note. Map the note classification to a Standard Concept. For more information see the ETL Conventions in the description of the NOTE table. [Accepted Concepts](https://athena.ohdsi.org/search-terms/terms?standardConcept=Standard&conceptClass=Doc+Kind&conceptClass=Doc+Role&conceptClass=Doc+Setting&conceptClass=Doc+Subject+Matter&conceptClass=Doc+Type+of+Service&domain=Meas+Value&page=1&pageSize=15&query=). This Concept can alternatively be represented by concepts with the relationship 'Kind of (LOINC)' to [706391](https://athena.ohdsi.org/search-terms/terms/706391) (Note). No Yes CONCEPT CONCEPT_ID NA NA NA
192 note note_title No varchar(250) The title of the note. NA No No NA NA NA NA NA
193 note note_text Yes varchar(MAX) The content of the note. NA No No NA NA NA NA NA
194 note encoding_concept_id Yes integer This is the Concept representing the character encoding type. Put the Concept Id that represents the encoding character type here. Currently the only option is UTF-8 ([32678](https://athena.ohdsi.org/search-terms/terms/32678)). It the note is encoded in any other type, like ASCII then put 0. No Yes CONCEPT CONCEPT_ID NA NA NA
195 note language_concept_id Yes integer The language of the note. Use Concepts that are descendants of the concept [4182347](https://athena.ohdsi.org/search-terms/terms/4182347) (World Languages). No Yes CONCEPT CONCEPT_ID NA NA NA
196 note provider_id No integer The Provider who wrote the note. The ETL may need to make a determination on which provider to put here. No Yes PROVIDER PROVIDER_ID NA NA NA
197 note visit_occurrence_id No integer The Visit during which the note was written. NA No Yes VISIT_OCCURRENCE VISIT_OCCURRENCE_ID NA NA NA

2
inst/csv/OMOP_CDMv5.4_Table_Level.csv
View File

@ -23,7 +23,7 @@ procedure_occurrence,CDM,No,PROCEDURE_,Yes,0,NA,"This table contains records of
device_exposure,CDM,No,DEVICE_,Yes,0,NA,"The Device domain captures information about a person's exposure to a foreign physical object or instrument which is used for diagnostic or therapeutic purposes through a mechanism beyond chemical action. Devices include implantable objects (e.g. pacemakers, stents, artificial joints), medical equipment and supplies (e.g. bandages, crutches, syringes), other instruments used in medical procedures (e.g. sutures, defibrillators) and material used in clinical care (e.g. adhesives, body material, dental material, surgical material).","The distinction between Devices or supplies and Procedures are sometimes blurry, but the former are physical objects while the latter are actions, often to apply a Device or supply.",Source codes and source text fields mapped to Standard Concepts of the Device Domain have to be recorded here.
measurement,CDM,No,MEASUREMENT_,Yes,0,NA,"The MEASUREMENT table contains records of Measurements, i.e. structured values (numerical or categorical) obtained through systematic and standardized examination or testing of a Person or Person's sample. The MEASUREMENT table contains both orders and results of such Measurements as laboratory tests, vital signs, quantitative findings from pathology reports, etc. Measurements are stored as attribute value pairs, with the attribute as the Measurement Concept and the value representing the result. The value can be a Concept (stored in VALUE_AS_CONCEPT), or a numerical value (VALUE_AS_NUMBER) with a Unit (UNIT_CONCEPT_ID). The Procedure for obtaining the sample is housed in the PROCEDURE_OCCURRENCE table, though it is unnecessary to create a PROCEDURE_OCCURRENCE record for each measurement if one does not exist in the source data. Measurements differ from Observations in that they require a standardized test or some other activity to generate a quantitative or qualitative result. If there is no result, it is assumed that the lab test was conducted but the result was not captured.","Measurements are predominately lab tests with a few exceptions, like blood pressure or function tests. Results are given in the form of a value and unit combination. When investigating measurements, look for operator_concept_ids (<, >, etc.).","Only records where the source value maps to a Concept in the measurement domain should be included in this table. Even though each Measurement always has a result, the fields VALUE_AS_NUMBER and VALUE_AS_CONCEPT_ID are not mandatory as often the result is not given in the source data. When the result is not known, the Measurement record represents just the fact that the corresponding Measurement was carried out, which in itself is already useful information for some use cases. For some Measurement Concepts, the result is included in the test. For example, ICD10 CONCEPT_ID [45548980](https://athena.ohdsi.org/search-terms/terms/45548980) 'Abnormal level of unspecified serum enzyme' indicates a Measurement and the result (abnormal). In those situations, the CONCEPT_RELATIONSHIP table in addition to the 'Maps to' record contains a second record with the relationship_id set to 'Maps to value'. In this example, the 'Maps to' relationship directs to [4046263](https://athena.ohdsi.org/search-terms/terms/4046263) 'Enzyme measurement' as well as a 'Maps to value' record to [4135493](https://athena.ohdsi.org/search-terms/terms/4135493) 'Abnormal'."
observation,CDM,No,OBSERVATION_,Yes,0,NA,"The OBSERVATION table captures clinical facts about a Person obtained in the context of examination, questioning or a procedure. Any data that cannot be represented by any other domains, such as social and lifestyle facts, medical history, family history, etc. are recorded here.","Observations differ from Measurements in that they do not require a standardized test or some other activity to generate clinical fact. Typical observations are medical history, family history, the stated need for certain treatment, social circumstances, lifestyle choices, healthcare utilization patterns, etc. If the generation clinical facts requires a standardized testing such as lab testing or imaging and leads to a standardized result, the data item is recorded in the MEASUREMENT table. If the clinical fact observed determines a sign, symptom, diagnosis of a disease or other medical condition, it is recorded in the CONDITION_OCCURRENCE table. Valid Observation Concepts are not enforced to be from any domain but they must not belong to the Condition, Procedure, Drug, Device, Specimen, or Measurement domains and they must be Standard Concepts. <br><br>The observation table usually records the date or datetime of when the observation was obtained, not the date of the observation starting. For example, if the patient reports that they had a heart attack when they were 50, the observation date or datetime is the date of the report, the heart attack observation can have a value_as_concept which captures how long ago the observation applied to the patient.","Records whose Source Values map to any domain besides Condition, Procedure, Drug, Specimen, Measurement or Device should be stored in the Observation table. Observations can be stored as attribute value pairs, with the attribute as the Observation Concept and the value representing the clinical fact. This fact can be a Concept (stored in VALUE_AS_CONCEPT), a numerical value (VALUE_AS_NUMBER), a verbatim string (VALUE_AS_STRING), or a datetime (VALUE_AS_DATETIME). Even though Observations do not have an explicit result, the clinical fact can be stated separately from the type of Observation in the VALUE_AS_* fields. It is recommended for Observations that are suggestive statements of positive assertion should have a value of 'Yes' (concept_id=4188539), recorded, even though the null value is the equivalent."
death,CDM,No,NA,No,NA,NA,"The death domain contains the clinical event for how and when a Person dies. A person can have up to one record if the source system contains evidence about the Death, such as: Condition in an administrative claim, status of enrollment into a health plan, or explicit record in EHR data.",NA,NA
death,CDM,No,NA,No,NA,NA,"The death domain contains the clinical event for how and when a Person dies. A person can have up to one record if the source system contains evidence about the Death, such as: Condition in an administrative claim, status of enrollment into a health plan, or explicit record in EHR data.",NA,"For specific conventions on how to populate this table, please refer to the [THEMIS repository](https://ohdsi.github.io/Themis/death.html)."
note,CDM,No,NA,Yes,0,NA,"The NOTE table captures unstructured information that was recorded by a provider about a patient in free text (in ASCII, or preferably in UTF8 format) notes on a given date. The type of note_text is CLOB or varchar(MAX) depending on RDBMS.",NA,"HL7/LOINC CDO is a standard for consistent naming of documents to support a range of use cases: retrieval, organization, display, and exchange. It guides the creation of LOINC codes for clinical notes. CDO annotates each document with 5 dimensions:
- **Kind of Document**: Characterizes the general structure of the document at a macro level (e.g. Anesthesia Consent)

1 cdmTableName schema isRequired conceptPrefix measurePersonCompleteness measurePersonCompletenessThreshold validation tableDescription userGuidance etlConventions
23 dose_era CDM No NA Yes 0 NA A Dose Era is defined as a span of time when the Person is assumed to be exposed to a constant dose of a specific active ingredient. NA Dose Eras will be derived from records in the DRUG_EXPOSURE table and the Dose information from the DRUG_STRENGTH table using a standardized algorithm. Dose Form information is not taken into account. So, if the patient changes between different formulations, or different manufacturers with the same formulation, the Dose Era is still spanning the entire time of exposure to the Ingredient.
24 condition_era CDM No NA Yes 0 NA A Condition Era is defined as a span of time when the Person is assumed to have a given condition. Similar to Drug Eras, Condition Eras are chronological periods of Condition Occurrence and every Condition Occurrence record should be part of a Condition Era. Combining individual Condition Occurrences into a single Condition Era serves two purposes: - It allows aggregation of chronic conditions that require frequent ongoing care, instead of treating each Condition Occurrence as an independent event. - It allows aggregation of multiple, closely timed doctor visits for the same Condition to avoid double-counting the Condition Occurrences. For example, consider a Person who visits her Primary Care Physician (PCP) and who is referred to a specialist. At a later time, the Person visits the specialist, who confirms the PCP's original diagnosis and provides the appropriate treatment to resolve the condition. These two independent doctor visits should be aggregated into one Condition Era. NA Each Condition Era corresponds to one or many Condition Occurrence records that form a continuous interval. The condition_concept_id field contains Concepts that are identical to those of the CONDITION_OCCURRENCE table records that make up the Condition Era. In contrast to Drug Eras, Condition Eras are not aggregated to contain Conditions of different hierarchical layers. The SQl Script for generating CONDITION_ERA records can be found [here](https://ohdsi.github.io/CommonDataModel/sqlScripts.html#condition_eras) The Condition Era Start Date is the start date of the first Condition Occurrence. The Condition Era End Date is the end date of the last Condition Occurrence. Condition Eras are built with a Persistence Window of 30 days, meaning, if no occurrence of the same condition_concept_id happens within 30 days of any one occurrence, it will be considered the condition_era_end_date.
25 episode CDM No NA No NA NA The EPISODE table aggregates lower-level clinical events (VISIT_OCCURRENCE, DRUG_EXPOSURE, PROCEDURE_OCCURRENCE, DEVICE_EXPOSURE) into a higher-level abstraction representing clinically and analytically relevant disease phases,outcomes and treatments. The EPISODE_EVENT table connects qualifying clinical events (VISIT_OCCURRENCE, DRUG_EXPOSURE, PROCEDURE_OCCURRENCE, DEVICE_EXPOSURE) to the appropriate EPISODE entry. For example cancers including their development over time, their treatment, and final resolution. Valid Episode Concepts belong to the 'Episode' domain. For cancer episodes please see [article], for non-cancer episodes please see [article]. If your source data does not have all episodes that are relevant to the therapeutic area, write only those you can easily derive from the data. It is understood that that table is not currently expected to be comprehensive. NA
26 episode_event CDM No NA No NA NA The EPISODE_EVENT table connects qualifying clinical events (such as CONDITION_OCCURRENCE, DRUG_EXPOSURE, PROCEDURE_OCCURRENCE, MEASUREMENT) to the appropriate EPISODE entry. For example, linking the precise location of the metastasis (cancer modifier in MEASUREMENT) to the disease episode. This connecting table is used instead of the FACT_RELATIONSHIP table for linking low-level events to abstracted Episodes. Some episodes may not have links to any underlying clinical events. For such episodes, the EPISODE_EVENT table is not populated.
27 metadata CDM No NA No NA NA The METADATA table contains metadata information about a dataset that has been transformed to the OMOP Common Data Model. NA NA
28 cdm_source CDM No NA No NA NA The CDM_SOURCE table contains detail about the source database and the process used to transform the data into the OMOP Common Data Model. NA NA
29 concept VOCAB No NA No NA NA The Standardized Vocabularies contains records, or Concepts, that uniquely identify each fundamental unit of meaning used to express clinical information in all domain tables of the CDM. Concepts are derived from vocabularies, which represent clinical information across a domain (e.g. conditions, drugs, procedures) through the use of codes and associated descriptions. Some Concepts are designated Standard Concepts, meaning these Concepts can be used as normative expressions of a clinical entity within the OMOP Common Data Model and within standardized analytics. Each Standard Concept belongs to one domain, which defines the location where the Concept would be expected to occur within data tables of the CDM. Concepts can represent broad categories (like 'Cardiovascular disease'), detailed clinical elements ('Myocardial infarction of the anterolateral wall') or modifying characteristics and attributes that define Concepts at various levels of detail (severity of a disease, associated morphology, etc.). Records in the Standardized Vocabularies tables are derived from national or international vocabularies such as SNOMED-CT, RxNorm, and LOINC, or custom Concepts defined to cover various aspects of observational data analysis. NA NA