Rapid Fire Oral Presentation Clinical Oncology Society of Australia Annual Scientific Meeting 2026

Aims: To develop and implement a nurse-led prostate cancer PSA surveillance clinic delivering precision survivorship care through structured, protocol-driven follow-up with escalation pathways. A secondary aim was to develop a literature-informed electronic patient-reported outcome measures (ePROMs) to identify unmet supportive care needs and guide personalised care.

Methods:  The service model and ePROMs platform were developed through a structured four-step process:

1. Stakeholder consultation: Radiation oncologists, nursing, research and IT stakeholders identified a need for structured patient-reported outcome collection within survivorship care.
2. Literature review: Review of validated prostate cancer PROMs identified tools, with the EPIC-CP selected for its brevity, clinical utility and ability to capture treatment-related toxicities.
3. Questionnaire design: Radiation therapy-specific questions, frequency and protocol-driven pathways were developed to complement the validated PROM and support follow-up.
4. Platform development: In partnership with IT, an electronic platform and dashboard were designed to enable patient completion via secure web link, longitudinal symptom tracking and risk-based clinical escalation.

Results: The project resulted in the development of an integrated nurse-led survivorship model combining protocol-driven PSA surveillance with an electronic symptom monitoring platform. The final ePROMs questionnaire incorporates the validated EPIC-CP alongside radiation therapy-specific questions identified through the literature review. Patients complete the questionnaire electronically via secure web link before scheduled surveillance appointments, with automated reminders.

Responses populate a clinician dashboard displaying symptom trends, highlighting clinically significant changes and prompting protocol-driven escalation where required. The platform supports efficient, patient-centred consultations by prioritising individual concerns and identifying unmet supportive care needs. Patient focus group, usability testing and platform refinement are underway prior to implementation.

Conclusion: This project demonstrates the development of nurse-led precision survivorship model integrating PSA surveillance with ePROMs platform. The model supports personalised follow-up, early identification of needs and timely intervention while optimising specialist resources. Patient consultation and usability testing are ongoing before implementation and formal evaluation.