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Development of a Comprehensive Decision Support Tool for Chemotherapy-Cycle Prescribing: Initial Usability Study.
Sanna Iivanainen1, Reetta Arokoski2, Santeri Mentu2
1Department of Oncology and Radiotherapy, Oulu University Hospital, Kajaanintie 50, Oulu, 90220, Finland, 358 83153038.
JMIR Formative Research
|March 31, 2025
Summary
A new decision support tool streamlines chemotherapy prescription for colorectal cancer patients, improving workflow and reducing errors. This automated approach proved feasible for nearly half of all chemotherapy cycles evaluated.
Area of Science:
- Oncology
- Clinical Informatics
- Health Services Research
Background:
- Chemotherapy prescription is a manual, error-prone process.
- Clinical decision support tools can enhance prescribing and reduce errors.
Purpose of the Study:
- To test a knowledge-based, patient-derived decision support tool for chemotherapy prescription.
- To evaluate the tool's cost-effectiveness, error reduction, and workflow streamlining potential.
Main Methods:
- A prospective, 1-arm clinical trial (ECHO) involving 43 colorectal cancer patients.
- Integration of a decision support tool with digital symptom monitoring, lab interface, and schedule integration.
- Assessment of tool performance via ePRO completion rates and HCP interviews.
Main Results:
- 43 patients with colorectal cancer (CRC) completed 843 ePRO questionnaires.
- Fatigue and peripheral neuropathy were the most reported symptoms.
- The tool recommended 'go' for 42.8% of cycles, 'evaluate' for 25%, and 'hold' for 32.7%.
Conclusions:
- The decision support tool is feasible for chemotherapy cycle pre-evaluation and prescription.
- An automated approach to chemotherapy prescription is possible for a significant portion of cycles.
- Healthcare professionals valued the improved workflow and patient evaluation.
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