2024 World Conference on Lung Cancer (WCLC) - ePosters-EP.17F.03 An Evidence-Driven Approach to Optimizing Clinical, Operational, And Economic Value in the Lung Cancer Care Pathway

EP.17F.03 An Evidence-Driven Approach to Optimizing Clinical, Operational, And Economic Value in the Lung Cancer Care Pathway

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The study presents the Simfonia Project methodology, aiming to optimize lung cancer care pathways using real-world data in a university hospital in Spain. This evidence-driven approach targets operational, clinical, and economic enhancements, leading to improved patient outcomes and healthcare efficiencies. Key to this initiative is the integration of service, clinical, and financial data, which provide a comprehensive picture of the current pathway bottlenecks and inefficiencies.<br /><br />Core components of the project include the Hospital Assessment Framework (HAF), Per Patient Data Model, and Per Patient Spend Model (PPSM). These tools enable a thorough examination of patient histories, treatment workflows, hospital resource utilization, and associated costs. Through interviews with patients and healthcare professionals, the study captures qualitative insights, while natural language processing handles the extraction of clinical and administrative data, building a robust data model for analysis.<br /><br />Findings indicate that over 2,500 patients participated in the study, with a significant proportion presenting with advanced-stage cancer. The cost of care was substantial, particularly in drug therapies, like immunotherapy, with the highest costs linked to stage IV disease. The methodology exposed variances in care delivery, time delays in treatment initiation, and the impact on resource utilization and costs. Notably, the frequent prescription of bronchoscopies post-tumour board evaluations points to procedural inefficiencies.<br /><br />Ultimately, the study suggests that an integrated, data-driven approach can greatly enhance lung cancer treatment pathways, enabling earlier and more precise interventions. This holds potential for greater healthcare capacity, consistency in care, and economic sustainability. The project's success demonstrates the value of real-world data applications in optimizing cancer care pathways for better patient outcomes.

Asset Subtitle

Margarita Majem

Meta Tag

Speaker Margarita Majem

Topic Global Health, Health Services, and Health Economics

Keywords

Simfonia Project

lung cancer care

real-world data

university hospital

Spain

patient outcomes

healthcare efficiencies

Hospital Assessment Framework

Per Patient Spend Model

data-driven approach