oncology-treatment-timeline

To build an oncology treatment timeline from FHIR resources, parse Patient, Condition, Observation, Procedure, MedicationRequest, DiagnosticReport, and CarePlan data, align events chronologically, and generate a structured narrative with phase labels and tumor-marker trends.

The best way to summarize oncology history for clinical trial eligibility is to synthesize FHIR data into a structured timeline capturing diagnosis, staging, therapy phases, response assessments, and surveillance, providing a concise longitudinal view of the patient's cancer journey.

Yes, you can extract cancer staging and tumor marker trends from a FHIR server by parsing Observation, Condition, and DiagnosticReport resources, organizing the data into diagnosis, neoadjuvant, definitive, adjuvant, and surveillance phases with tumor-marker synthesis.

Yes, this oncology timeline approach applies across patient records to capture diagnosis, staging, therapy phases, response assessments, and surveillance for both solid tumors and hematologic cancers using standard FHIR resources.

You should not use an oncology treatment timeline for FHIR data when reviewing cancer screening, benign tumors, or palliative care planning, as it is specifically designed to map active cancer treatment history and longitudinal therapy phases.

To organize FHIR Condition and MedicationRequest data into treatment phases, aggregate events chronologically and assign them to structured labels such as diagnosis, staging, neoadjuvant, definitive, adjuvant, response assessment, and surveillance phases.