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Template Notes

This section outlines the key use cases supported by the work delivered in this project.

It describes the ways in which a user (clinician, information manager, or other) interacts with a system, and it presents the expected behaviors of a system that applies the solutions (methods, model, subsets etc.) that are outcomes of this project.

This section should focus on the benefits that the systems are intended to provide, or the tasks that they are intended to support - more than focus on describing system functionalities.

Notes on target audience for this chapter:

  • All audiences described for this guide should be able to read this section to understand how the deliverables of this work is expected to work.


Allergic, hypersensitive, and intolerant reactions can be avoided by preventing the prescription or administration of known trigger substances. The proper documentation of known allergic, hypersensitivity, or intolerance episodes is critical to making this knowledge available at the point of care and supporting decision-making that would prevent future situations. Information needs to be recorded with the right level of detail and context to support these processes.

Use Case 1: Documentation of Information Related to Allergy, Hypersensitivity, and Intolerance


The Following scenarios are copied from the source document with the exclusion of FHIR examples. Consider shortening and clarifying to emphasize the intended use case.

Scenario 1.1: Documentation of an adverse reaction to a drug substance

Healthcare providers should be able to accurately record the details of a patient's adverse reaction to a drug substance. This information includes the drug substance involved, routes of administration, dosage, signs, and symptoms produced by the reaction, time frames, etc., allowing for clear and consistent documentation and communication between healthcare providers. This can improve patient care by facilitating a more accurate understanding of the reaction and facilitating the identification of potential risk factors. Additionally, the use of SNOMED CT can support research and data analysis on adverse drug reactions.

Scenario 1.2: Documentation of drug allergy in the allergy list and use as alert to provider

SNOMED CT can be used to document drug allergies in the allergy list and serve as an alert to providers. This will allow providers to quickly and accurately identify drugs that a patient may be allergic to. SNOMED CT is used to identify potential allergy triggers in the patient's medical history and assist providers in determining the safest and most effective treatment options for the patient.

Scenario 1.3: Documentation of a food intolerance

Healthcare providers should be able to record the details of a patient's food intolerance accurately. This information includes the type of food, examination results, signs, and symptoms produced by the intolerance, time frames, etc., allowing for clear and consistent documentation and communication between healthcare providers. This can improve patient care by facilitating a more accurate understanding of intolerance events and facilitating the identification of potential risk factors. Additionally, the use of SNOMED CT can support research and data analysis on food intolerance.

Scenario 1.4: Documentation of animal allergy

Healthcare providers should be able to record the details of a patient's animal accurately. This information includes the type of animal, exposure, examination results, signs and symptoms produced by the allergy, time frames, etc., allowing for clear and consistent documentation and communication between healthcare providers. This can improve patient care by facilitating a more accurate understanding of intolerance events and facilitating the identification of potential risk factors. Additionally, the use of SNOMED CT can support research and data analysis on animal allergy.

Scenario 1.5: Documentation of allergy to non-medicinal substance cross-reacting with a pharmaceutical

SNOMED CT can be used to document non-medicinal substance allergies in the allergy list, which can cross-react with ingredients of medications and serve as an alert to providers. This will allow providers to quickly and accurately identify drugs a patient may be allergic to based on previously recorded allergies to non-medicinal ingredients. SNOMED CT is used to identify potential allergy triggers in the patient's medical history and assist providers in determining the safest and most effective treatment options for the patient.

Scenario 1.6: Documentation of allergic reaction to other non-medicinal substances

Healthcare providers should be able to record allergic reactions to other non-medicinal substances accurately. This information includes the type of non-medicinal substance, examination results, signs, and symptoms produced by the reaction, time frames, etc., allowing for clear and consistent documentation and communication between healthcare providers. This can improve patient care by facilitating a more accurate understanding of allergic reactions and facilitating the identification of potential risk factors. Additionally, the use of SNOMED CT can support research and data analysis on allergic reactions.

Scenario 1.7: Documentation of ‘No Known Allergies’

Healthcare providers should be able to record when a patient reports that he has no allergy history, with the data and time of the report.

Use Case 2:  Sharing of Information Related to Allergy, Hypersensitivity, and Intolerance

Scenario 2.1: Sharing adverse reaction data

Electronically-stored allergy, hypersensitivity and intolerance information information should be semantically interoperable to enable sharing of information across system, organization and geographic boundaries.

Use Case 3:  Supporting the Implementation of Decision Support Systems

Scenario 3.1: Potential adverse reaction alerts

Health Information Systems implementers should be able to adopt knowledge bases or clinical decision support systems that can run alerts detections from existing SNOMED CT data, leveraging the SNOMED CT hierarchies and attributes to compute equivalency and subsumption with the clinical entities recorded in the system's rules.




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