Enhancing Decision-Making with Real-World Evidence: Population Adjustments, Outcome Prediction, and Cost-Effectiveness Analytics
The research will:
Evaluate screening adherence and effectiveness within different demographic and risk-based subgroups in Israel.
Compare screening outcomes in Israel to global benchmarks, identifying gaps and potential improvements.
Develop predictive models to assess cost-effectiveness and long-term health impacts of various screening strategies.
Support evidence-based policy recommendations for optimizing cancer screening programs in Israel, integrating economic and clinical insights.
By focusing on Israeli healthcare data, this study aims to provide actionable insights that can refine screening guidelines, resource allocation, and public health strategies, ultimately improving early cancer detection and patient care.
Assess screening effectiveness in different population segments.
Evaluate real-world adherence rates to screening programs.
Support healthcare decision-making.
Additionally, if the research yields significant insights, I aim to share findings through a scientific publication or industry report to contribute to evidence-based decision-making in healthcare.
At this stage, I am conducting this research independently with my husband , but I am open to potential collaborations in the future.