survival rates at CCHE were inferior; 79.9% for ALL; 53.8% for AML; 56.5% for Neuroblastoma; 56.4% for Hepatoblastoma; 49.1% for Osteosarcoma. Trends in age-adjusted mortality-rates will presented. Conclusions Studying 5-year survival in childhood cancer health outcomes at CCHE would help generate real-world evidence about those having inferior outcomes and identify priority areas that need future improvements. Making better use of the evidence generated at CCHE would enhance real-world practice through making informed decisions that are adapted to a local context setting-CCHE.
Inputs and OutputsThe Strike‐a‐Match Function, written in JavaScript version ES6+, accepts the input of two datasets (one dataset defining eligibility criteria for research studies or clinical decision support, and one dataset defining characteristics for an individual patient). It returns an output signaling whether the patient characteristics are a match for the eligibility criteria.PurposeUltimately, such a system will play a “matchmaker” role in facilitating point‐of‐care recognition of patient‐specific clinical decision support.SpecificationsThe eligibility criteria are defined in HL7 FHIR (version R5) EvidenceVariable Resource JSON structure. The patient characteristics are provided in an FHIR Bundle Resource JSON including one Patient Resource and one or more Observation and Condition Resources which could be obtained from the patient's electronic health record.ApplicationThe Strike‐a‐Match Function determines whether or not the patient is a match to the eligibility criteria and an Eligibility Criteria Matching Software Demonstration interface provides a human‐readable display of matching results by criteria for the clinician or patient to consider. This is the first software application, serving as proof of principle, that compares patient characteristics and eligibility criteria with all data exchanged using HL7 FHIR JSON. An Eligibility Criteria Matching Software Library at https://fevir.net/110192 provides a method for sharing functions using the same information model.
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