The CARE_SITE table contains a list of uniquely identified institutional (physical or organizational) units where healthcare delivery is practiced (offices, wards, hospitals, clinics, etc.).

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.

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. 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.

This table contains records of Events of a Person suggesting the presence of a disease or medical condition stated as a diagnosis, a sign, or a symptom, which is either observed by a Provider or reported by the patient.

The COST table captures records containing the cost of any medical event recorded in one of the OMOP clinical event tables such as DRUG_EXPOSURE, PROCEDURE_OCCURRENCE, VISIT_OCCURRENCE, VISIT_DETAIL, DEVICE_OCCURRENCE, OBSERVATION or MEASUREMENT.

Each record in the cost table account for the amount of money transacted for the clinical event. So, the COST table may be used to represent both receivables (charges) and payments (paid), each transaction type represented by its COST_CONCEPT_ID. The COST_TYPE_CONCEPT_ID field will use concepts in the Standardized Vocabularies to designate the source (provenance) of the cost data. A reference to the health plan information in the PAYER_PLAN_PERIOD table is stored in the record for information used for the adjudication system to determine the persons benefit for the clinical event.

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.

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).).

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.

A Drug Era is defined as a span of time when the Person is assumed to be exposed to a particular active ingredient. A Drug Era is not the same as a Drug Exposure: Exposures are individual records corresponding to the source when Drug was delivered to the Person, while successive periods of Drug Exposures are combined under certain rules to produce continuous Drug Eras.

This table captures records about the exposure to a Drug ingested or otherwise introduced into the body. A Drug is a biochemical substance formulated in such a way that when administered to a Person it will exert a certain biochemical effect on the metabolism. Drugs include prescription and over-the-counter medicines, vaccines, and large-molecule biologic therapies. Radiological devices ingested or applied locally do not count as Drugs.

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.

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.

The FACT_RELATIONSHIP table contains records about the relationships between facts stored as records in any table of the CDM. Relationships can be defined between facts from the same domain, or different domains. Examples of Fact Relationships include: Person relationships (parent-child), care site relationships (hierarchical organizational structure of facilities within a health system), indication relationship (between drug exposures and associated conditions), usage relationships (of devices during the course of an associated procedure), or facts derived from one another (measurements derived from an associated specimen).

The LOCATION table represents a generic way to capture physical location or address information of Persons and Care Sites.

The BundleLogical has the same objective as the FHIR Bundle resource but allows for the grouping of logical models.

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.

The NOTE_NLP table encodes all output of NLP on clinical notes. Each row represents a single extracted term from a note.

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.

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.

This table contains records which define spans of time during which two conditions are expected to hold: (i) Clinical Events that happened to the Person are recorded in the Event tables, and (ii) absense of records indicate such Events did not occur during this span of time.

The PAYER_PLAN_PERIOD table captures details of the period of time that a Person is continuously enrolled under a specific health Plan benefit structure from a given Payer. Each Person receiving healthcare is typically covered by a health benefit plan, which pays for (fully or partially), or directly provides, the care. These benefit plans are provided by payers, such as health insurances or state or government agencies. In each plan the details of the health benefits are defined for the Person or her family, and the health benefit Plan might change over time typically with increasing utilization (reaching certain cost thresholds such as deductibles), plan availability and purchasing choices of the Person. The unique combinations of Payer organizations, health benefit Plans and time periods in which they are valid for a Person are recorded in this table.

This table serves as the central identity management for all Persons in the database. It contains records that uniquely identify each person or patient, and some demographic information.

This table contains records of activities or processes ordered by, or carried out by, a healthcare provider on the patient with a diagnostic or therapeutic purpose.

The PROVIDER table contains a list of uniquely identified healthcare providers. These are individuals providing hands-on healthcare to patients, such as physicians, nurses, midwives, physical therapists etc.

The specimen domain contains the records identifying biological samples from a person.

The VISIT_DETAIL table is an optional table used to represents details of each record in the parent VISIT_OCCURRENCE table. A good example of this would be the movement between units in a hospital during an inpatient stay or claim lines associated with a one insurance claim. For every record in the VISIT_OCCURRENCE table there may be 0 or more records in the VISIT_DETAIL table with a 1:n relationship where n may be 0. The VISIT_DETAIL table is structurally very similar to VISIT_OCCURRENCE table and belongs to the visit domain.

This table contains Events where Persons engage with the healthcare system for a duration of time. They are often also called “Encounters”. Visits are defined by a configuration of circumstances under which they occur, such as (i) whether the patient comes to a healthcare institution, the other way around, or the interaction is remote, (ii) whether and what kind of trained medical staff is delivering the service during the Visit, and (iii) whether the Visit is transient or for a longer period involving a stay in bed.

Profil abstrait pour les invariants dans les claims du PMSI.

Profil abstrait pour les invariants dans les claims du champs MCO du PMSI.

Profil générique des résultats de laboratoire du socle commun des EDS.

. It specifies which core elements, extensions, vocabularies, and value sets SHALL be present and constrains how the elements are used. Providing the floor for standards development for specific use cases promotes interoperability and adoption.

Profil de la pression artérielle du socle commun des EDS

Profil de la taille du patient du socle commun des EDS

Profil du poids du patient du socle commun des EDS

. It specifies which core elements, extensions, vocabularies, and value sets SHALL be present and constrains how the elements are used. Providing the floor for standards development for specific use cases promotes interoperability and adoption.

. It specifies which core elements, extensions, vocabularies, and value sets SHALL be present and constrains how the elements are used. Providing the floor for standards development for specific use cases promotes interoperability and adoption.

Profil pour la consommation de tabac.

Profil des résultats de fonction rénale du socle commun des EDS

Part of a multipart branded medication.

French prescribed, dispensed or used medication expressed as branded medication composed of one to many substances. The code the french UCD (Unité Commune de Dispensation).

A complex medication composed of two to many simple médication. The simple medications component are described in as many ingredient.itemReference referencing a Medication resource profiled fr-medication-1.

Simple prescribed, dispensed, administered or used medication expressed in non proprietary name composed of one to many substances. If composed of many substance, the strengh SHALL be defined.

Profil Patient du socle commun des EDS

Profil pour les prescriptions médicamenteuses

Profil pour la prise de médicaments

Profil pour les Résumés de Sortie Standardisé (RSS) du PMSI MCO.

Profil des résultats de TCA - socle commun des EDS

Profil des résultats d’urémie du socle commun des EDS

Profil Address du socle commun des EDS

Range with low and high unit UCUM encoded

Ratio with numerator and denominator unit UCUM encoded

simple quantity datatype requiring a UCUM unit

Le jeu de valeurs à utiliser pour coder l’élément code de la ressource FrMedicationNonproprietaryName.

Le jeu de valeurs à utiliser pour coder l’élément doseForm des ressources FrMedicationUcd, FrMedicationUcdPart ou FrMedicationNonProprietaryName.

Le jeu de valeurs à utiliser pour coder l’élément dosageInstruction.route de la ressource FrMedicationRequest.

Liste des analyses LOINC correspondant aux besoins du socle EDS et extrait du jeu de valeur circuit de la biologie.

Trois codes LOINC possibles pour l’estimation du débit de filtration glomérulaire, selon l’équation utilisée (Cockroft, MDRD ou CKD-EPI)

Codes providing the status of an observation for smoking status. Constrained to finaland entered-in-error.

Deux unités UCUM possibles pour l’estimation du débit de filtration glomérulaire. L’usage des annotations UCUM (partie entre accolades) étant déconseillé, on privilégiera l’utilisation des ‘mL/min’.

(Clinical Focus: This set of values contains terms representing tobacco, e.g. nicotine, smoking, vaping, chew and snuff use or exposure.), (Data Element Scope: The intent of this value set is to provide encoded terms representing nicotine exposure via products that may be smoked or taken in with other methods. The scope includes non-nicotene electronic cigarette terms. The scope does not include marijuana or illicit drugs that are smoked), (Inclusion Criteria: Concepts from SCT’s Tobacco Use and exposure hierarchy, electronic cigarette user hierarchy and appropriate codes from the event and situation hierarchies.), (Exclusion Criteria: Terms reflecting absence of smoking)

CCAM ATIH pour le PMSI

CIM 10 ATIH pour le PMSI

Mode des claim en France, dans le cadre du PMSI

Typage des claim en France, dans le cadre du PMSI

Cette ressource présente les spécifications de l’‘alignement entre la ressource EDSPatient vers les tables correspodantes du CDM OMOP.

MappingObservationlaboratoryresourcestoMeasurementOMOPDomain

MappingPatientresourcetoDeathOMOPDomain

MappingPatientresourcetoLocationOMOPDomain

MappingPatientresourcetoPersonOMOPDomain

MappingsimpleObservationlaboratoryresourcestoMeasurementOMOPDomain

assurance maladie (CPAM de Paris)

Exemple de ressource pression artérielle

Exemple de ressource taille

Exemple de ressource poids

Exemple de ressource RSS

Exemple de ressource coverage

Pitié Salpetrière

Exemple de ressource patient

Exemple de ressource practitioner