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Clinical decision support (CDS) integrated into electronic health records (EHRs) can help manage cancer symptoms. This technology offers tailored recommendations, but data integration and clinician verification are key for safe and effective use in patient care.

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Area of Science:

  • Oncology
  • Health Informatics
  • Clinical Decision Support Systems

Background:

  • Electronic patient-reported outcome measures (ePROs) improve cancer care but face workflow integration challenges.
  • Clinical decision support (CDS) can address ePRO integration issues by streamlining symptom management.
  • This article explores CDS implementation in the EHR for cancer symptom monitoring.

Purpose of the Study:

  • To discuss the development and integration of CDS within the EHR for cancer symptom management.
  • To highlight lessons learned and future directions for CDS implementation in oncology.
  • To illustrate how CDS can mitigate challenges associated with ePROs in clinical practice.

Main Methods:

  • The Sapphire Cancer Symptom Management CDS system was developed and integrated into the EHR.
  • Innovative technologies like APIs and interoperable data standards were used for EHR integration.
  • The system was designed using peer-reviewed literature, expert opinion, and systematic reviews.

Main Results:

  • Algorithms for nine cancer symptoms were programmed into the CDS and integrated into the EHR.
  • Individually tailored symptom management recommendations were generated using EHR and patient-reported data.
  • Testing revealed data complexity and the need for clinician verification to ensure accuracy and safety.

Conclusions:

  • Innovative technologies facilitate CDS integration into EHRs for personalized cancer symptom management.
  • Further research is required to confirm if CDS improves patient outcomes.
  • CDS holds potential for improving guideline-concordant symptom management and supportive care referrals.