Assessments of a health-related matter of interest, importance, or worry to a patient, patient’s family, or patient’s healthcare provider that could identify a need, problem, or condition.

Data Element

Karnofsky
Description

The Karnofsky Performance Status (KPS) is a tool used to measure a patient's functional status. It can be used to compare the effectiveness of different therapies and to help assess the prognosis of certain patients, such as those with certain cancers. The KPS score ranges from 0 to 100 in intervals of 10. Higher scores are associated with better functional status, with 100 representing no symptoms or evidence of disease, and 0 representing death.

Comment

This data element has…

This data element has support from the HL7® FHIR® CodeX™ Accelerator community. CodeX supported FHIR data standards for cancer, genomics and cardiovascular health have a rapidly growing footprint of traction and adoption. The CodeX community is rapidly growing its membership, with invested Member leaders driving implementation-focused use case pilots forward.

The ECOG & Karnofsky Performance Status data element exchange in CodeX leverages the minimal Common Oncology Data Elements (mCODE) Implementation Guide. Pertinent links for mCODE, and mCODE’s real world adoption and traction include:

The CodeX Integrated Trial Matching for Cancer Patients and Providers Use Case aims to automate the existing trial matching process and complete the eligibility screening in one step to increase enrollment and diversity of patients in clinical trials. There are 11 key partners, including industry, advocacy organizations, and research, involved in the use case. Additionally, this use case is in process of rolling out into prospective phase at one health site, and looking to expand to another health site by the end of 2023.

ECOG and Karnofsky Performance Status assessments are one of eight key Optimized Patient Data Elements (OPDE) used in the trial matching tool developed through this CodeX initiative. Phase 1, via retrospective data, validated the use of OPDE for effectively filtering cancer clinical trials for patients.

Pertinent links include:

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