Submitted by rdillaire on
CMS-CCSQ Sup. Criticality & Food Allergy Intolerance for USCDIv6
Data Elements: Criticality (Level 2) and Food Allergy Intolerance (Level 0)
- Recommendation: Add the Criticality data element to Final USCDI v6. We further recommend that the Food Allergy Intolerance data element be advanced to Level 2 and included in the Final USCDI v6.
- Rationale: The Food Allergy Intolerance data element is an essential data element which health care organizations need to record to provide safe provisions to patients over the course of rendered care. Furthermore, we also recommend adding the Criticality data element for observed allergy as an intolerance. The inclusion of Food Allergy Intolerance in USCDI v6 as a data standard for EHRs is supported by compelling evidence highlighting the prevalence, impact, and management challenges associated with food allergies. This integration is essential for improving patient safety, enhancing care coordination, and promoting better health outcomes. Firstly, the prevalence of food allergies is significant and increasing. In a systematic review and meta-analysis, (Clarke et al., 2020) found that food allergies affect approximately 6-8% of children in the United States. In addition, food allergies affect families and communities beyond the individual. Families with children suffering from food allergies report significant out-of-pocket expenses, averaging around $3,339 (USD) annually, which includes specialty foods and emergency response expenses. To reduce unnecessary costs and facilitate appropriate management, healthcare providers need accurate and accessible information about patients' food allergies. In addition, food allergies can lead to life-threatening anaphylactic reactions. According to a systematic review (Umasunthar et al., 2013), fatal food anaphylaxis is particularly common among children, with a reported incidence of 1.81 per million. To prevent adverse events, healthcare providers need to know about patients' food allergies. By integrating food allergy data into EHRs, healthcare professionals will be able to quickly access this information, ensuring appropriate precautions are taken during treatment and emergency situations. In addition, food allergies have a profound psychosocial impact. Children with food allergies and their caregivers can suffer from increased anxiety and reduced quality of life (Protudjer et al., 2021; Gupta et al., 2010). Documenting and sharing food allergy information in EHRs can help healthcare providers, patients, and families communicate better, leading to better management strategies and support. Food allergies also require significant educational needs. A lack of knowledge about food allergies can lead to mismanagement and increased allergy risk (Gupta et al., 2010). By standardizing food allergy information in EHRs, healthcare providers can ensure patients and their families receive consistent and accurate education about managing food allergies, including recognizing symptoms and understanding emergency protocols. The evidence strongly supports USCDI v6 including Food Allergy Intolerance as a data standard. The high prevalence of food allergies, the potential for severe reactions, the financial and psychosocial burdens on families, and the need for improved education all highlight the necessity of having comprehensive and accessible food allergy data in electronic health records. This integration would not only enhance patient safety but also improve the overall quality of care provided to individuals with food allergies.







Submitted by Nagassi on
Comment on USCDI v6 – Allergy/Intolerance Data Class
On behalf of the Oracle
We on the HL7 C-CDA-to-FHIR mapping project
SNOMED CT remains one of the most logically structured standards in healthcare. Medication allergies and intolerances are already well aligned and easily queried within SNOMED CT. However, non-medication allergies—such as environmental allergens—are not linked to concepts like dog dander allergen under Environmental allergy . In SNOMED CT, “Environmental allergy” is a primitive concept, meaning it lacks formally defined subtypes. To support consistent representation and automated classification of non-medication allergies, an additional connecting class or qualifier should be introduced or endorsed.
Recommendation: ONC should encourage collaboration with standards bodies to extend SNOMED CT or provide implementation guidance so that non-medication allergies can be fully classified and interoperably exchanged under the USCDI Allergy/Intolerance Data Class.