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Area of Science:

  • * Health Informatics
  • * Clinical Decision Support Systems
  • * Patient-Reported Outcomes Research

Background:

  • * Electronic Health Records (EHR) have enabled physician decision support via "infobuttons" offering automated knowledge resources.
  • * Leveraging similar mechanisms for patient-facing resources, particularly using patient-reported outcomes (PROs), remains an underexplored area.
  • * Informatics can integrate diverse data beyond EHRs, such as PROs, to enhance clinical decision-making.

Purpose of the Study:

  • * To investigate the incorporation of the patient-reported outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) within EHR systems.
  • * To develop and evaluate a method for recommending tailored informational content to cancer patients based on their PROs.
  • * To explore automated feedback mechanisms for cancer patients utilizing PRO data.

Main Methods:

  • * Pilot study design focusing on EHR integration of PRO-CTCAE data.
  • * Development of an informatics approach for automated content recommendation.
  • * Utilizing patient-reported outcomes for personalized feedback loops.

Main Results:

  • * Demonstrated feasibility of incorporating PRO-CTCAE within EHR.
  • * Developed a framework for automated, tailored content delivery to cancer patients.
  • * Identified potential for enhanced patient support through PRO-driven feedback.

Conclusions:

  • * Integrating PROs into EHRs is a viable strategy for patient-centered decision support.
  • * Automated feedback systems can effectively deliver tailored resources to cancer patients.
  • * This approach holds promise for improving patient engagement and clinical outcomes.