Does Structured Reporting Improve Lung Cancer Reports?
A structured reporting tool improved report completeness, reduced classification errors, and achieved high physician adoption during routine lung cancer pathology reporting.
By
Andrea Surnit
July 2, 2026
Clinical Scorecard: Does Structured Reporting Improve Lung Cancer Reports?
At a Glance
Category Detail
Condition Lung Cancer Pathology Reporting Key Mechanisms Structured reporting tool enhances report completeness and accuracy. Target Population Pathologists and lung cancer patients undergoing resection. Care Setting Pathology diagnostics in oncology.
Key Highlights
Structured reporting achieved 99.9% completeness in pathology reports. 90% adoption rate among pathologists during prospective implementation. Identified 33 missing or inconsistent data elements in retrospective reports. Automated tumor-node-metastasis staging detected classification errors. Feedback indicated value in automated completeness checks and dynamic data display. Guideline-Based Recommendations
Diagnosis
Utilize structured reporting tools to enhance completeness of pathology reports. Management
Incorporate structured reporting into routine diagnostics for lung cancer. Monitoring & Follow-up
Assess the integration of structured reporting with existing laboratory information systems. Risks
Limited generalizability due to single institution study and focus on lung cancer resection specimens. Patient & Prescribing Data
Patients undergoing lung cancer resection.
Structured reporting may lead to more accurate and complete pathology reports.
Clinical Best Practices
Adopt structured reporting to improve pathology report quality. Encourage feedback from pathologists to enhance workflow integration. Related Resources & Content
