ESTRO 36 Abstract Book

S951 ESTRO 36 _______________________________________________________________________________________________

6 McGill University Health Centre, Division of Radiation Oncology, 1001 boul Décarie- Montreal, Canada Purpose or Objective Providing patients with access to their medical records and collecting patient-reported outcomes (PROs) from them is of interest in modern healthcare. In Radiation Oncology, no major successes have been reported and the provision of medical data to patients remains a challenge. With a patient who is also a computer scientist, a radiation oncologist and a medical physicist on our team, we set out to build Opal, a mobile phone app and portal for oncology patients. Opal will provide patients with: • Appointment schedules • Check-in/call-in for waiting room management • Status of treatment planning/treatment schedule • Access to personal health information (PHI)— treatment plan, lab results, medical notes • Just-in-time educational material, specific to the patient’s diagnosis, treatment and phase of treatment Contact information and a messaging system Tools to complete PRO questionnaires Maps and hospital information (eg parking) Patient's committee module— Patients for Patients Material and Methods We developed a secure and confidential communication system that incorporates data from our Aria database (Varian Medical Systems, Palo Alto, CA), patient authentication, encrypted data exchange and a cloud server (Firebase by Google Inc.) external to the hospital. Figure 1 provides a schematic of the data flow from Aria to/from Opal. • • •

Figure 2 screenshots of the app that will be released to our pilot group of patients in November 2016. Conclusion We have developed Opal, a smartphone app and web portal, for oncology patients at our comprehensive cancer centre. Opal provides patients with access to their PHI, appointment schedules, waiting room management, relevant just-in-time educational material and patient- reported outcomes questionnaires. Development is currently in the closed beta phase with testing provided by volunteers with fake electronic health records. We will release the app to a pilot group of radiation oncology patients in November 20 17, followed by general release to all radiation oncology patients in early 2017. Release of the app to all oncology patients is planned for the spring of 2017. EP-1731 What can reveal onsite end-to-end audit? The experience of national dosimetry audit group I. Koniarova 1 , I. Horakova 1 , V. Dufek 1 1 National Radiation Protection Institute, Department of Radiotherapy and X-ray Laboratory, Praha, Czech Republic Purpose or Objective National Radiation Protection Institute performs on-site audits in the Czech Republic. In total, 53 on-site end-to- end audits for prostate and 16 for H&N/brain radiotherapy were performed. Prostate case was verified in the national run for all centres using IMRT in 2013 and repeated for majority of centres with upgrade/installation of new linacs in 2014-2016. There was a pilot run with head phantom in 2016. Majority of results were within tolerances. All results were analysed to describe the most interesting findings and the weakest points. Material and Methods Absorbed doses with ionisation chambers and plane doses with EBT3 films were measured in the pelvic or head phantom. Following aspects can be assessed: unit calibration, TPS model accuracy for reference field, MLC accuracy, CT numbers to RED conversion in terms of its influence to dose, phantom geometrical offset at the couch, optimisation constraints, radiobiological plan parameters calculated from DVHs. Anthropomorphic phantoms (pelvic and head) with benchmark PTVs and OARs were used. Three sets of audit results were analysed: prostate audit national run, repeated prostate audit, H&N/brain audit pilot run. Methodology is applicable to C- arm linacs, Tomotherapy, Leksell Gamma Knife, and

Figure 1. Data flow for Opal. Firebase is a real-time cloud database by Google. Results The design, development and debugging of Opal have been guided in five ways: (1) a literature review to study existing patient portals, (2) a patient survey, (3) a patient focus group, (4) a closed beta-release to non-patient volunteers, and (5) a pilot to engaged patients who will provide feedback. Figure 2 provides screenshots of the app that will be released to our pilot group of patients.