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Using an Integrated, Digital Framework to Standardize and Expand a Multisite Lung Cancer Screening Program.

Maria Katerina C Alfaro1, Christine S Shusted2, Teresa Giamboy3

  • 1Office of Data Science, Sidney Kimmel Comprehensive Cancer Center, Thomas Jefferson University, Philadelphia, PA.

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Summary
This summary is machine-generated.

A new digital framework standardizes lung cancer screening (LCS) data collection using electronic health records (EHRs). This improves care coordination and operational management for reduced lung cancer mortality.

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Area of Science:

  • Pulmonology
  • Health Informatics
  • Public Health

Background:

  • Lung cancer screening (LCS) is crucial for reducing mortality but lacks standardized data collection.
  • Electronic health records (EHRs) and management tools exist but are not universally harmonized for LCS.
  • Data harmonization is essential for effective clinical care coordination and operational management in expanding LCS programs.

Purpose of the Study:

  • To implement an integrated, digital framework for comprehensive LCS data collection and tracking.
  • To standardize documentation across the entire LCS patient journey.
  • To address the critical need for data harmonization in LCS programs.

Main Methods:

  • Implementation of an integrated, digital framework using Epic EHR with customized SmartForms and REDCap.
  • Standardized documentation of LCS eligibility, shared decision-making, low-dose CT, and follow-up.
  • Leveraging existing EHR infrastructure for a unified LCS data management system.

Main Results:

  • Framework adopted by 11 sites across four hubs since October 2022.
  • Standardized process and system interoperability created a centralized data repository.
  • Improved communication, transparency, and reduced duplicative processes across the LCS program.

Conclusions:

  • The digital framework is scalable and sustainable within the Jefferson Health System and replicable for other LCS programs.
  • Future iterations must consider EHR complexities and data provenance for successful implementation.
  • Stakeholder collaboration is key for building, implementing, and troubleshooting comprehensive LCS data repositories to enhance quality metrics and research.