HL7.FHIR.US.COVID19LIBRARY\Signs, Symptoms, Diagnoses, and Underlying conditions

COVID-19 FHIR Profile Library IG Informative Version
1.0.0 - Informative United States of America flag

COVID-19 FHIR Profile Library IG Informative Version, published by HL7 International - Clinical Information Modeling Initiative. This is not an authorized publication; it is the continuous build for version 1.0.0). This version is based on the current content of https://github.com/HL7/fhir-COVID19Library-ig/ and changes regularly. See the Directory of published versions

Signs, Symptoms, Diagnoses, and Underlying conditions

Signs and Symptoms
COVID-19 Diagnoses
COVID-19 Underlying Medical Conditions observation
Specific COVID-19 Underlying Medical Conditions

Signs and Symptoms

The following profile is for recording/transmitting data associated with COVID-19 signs and symptoms. This list of signs and symptoms is not comprehensive. It will be added to as we receive information from contributing partners.

The profile is based on the Observation resource where the code (Observation.code) is bound to the list of signs and symptoms and the value is bound to a list of presence/absence findings (present, absent, unknown).

Signs and Symptoms Present

Example of COVID-19 Signs and Symptoms

COVID-19 Diagnoses

The following are profiles to record/transmit any COVID-19 associated diagnoses; one for using SNOMED CT codes and one for using ICD 10 codes.

COVID-19 SNOMED CT Diagnoses

Example of SNOMED CT diagnosis

COVID-19 ICD10 Diagnoses

Example of ICD10 diagnosis

COVID-19 Underlying Medical Conditions observation

This profile was created as a means of capturing whether an underlying condition is present or absent. There are several slices of the component of Observation, each being a category of underlying conditions. Each component also has an extension for the category code as well as an extension to be a reference to the corresponding Condition, if it exists or needs to be instantiated.

Note The profile below is a specialization of the FHIR Observation resource and is used to capture the presence or absence of an underlying condition in a specific category. This is accomplished by using the Observation.component element as follows:

- component.code = the specific SNOMED CT code for the condition being stated as present or absent
- component.value = present, absent, or unknown

There are two extensions used in each slice of component, ConditionCategoryCode and ConditionReference.

- ConditionCategoryCode is used to identify the categorical group of the underlying condition.
- ConditionReference is a pointer to a data instance of the underlying condition (stored as a Condition), if it exists or needs to be instantiated.

COVID-19 Underlying Medical Condition observation

Example of Underlying Medical Condition observation

Specific COVID-19 Underlying Medical Conditions

These profiles are used to capture underlying problems that would be on a problem list or tracked/monitored underlying conditions. These are specific to identified categories, i.e. underlying cardiovascular conditions. This list will grow over time as more categories are identified. The value sets for these profiles will also grow over time as we receive feedback and input from users and interested parties.

COVID-19 General underlying condition