ESTRO 36 Abstract Book

S1003 ESTRO 36 2017 _______________________________________________________________________________________________

satisfaction with the operation of the radiotherapy department with a statistically significant difference ( p=0.030 ). A very strong correlation coefficient (i.e. a correlation coefficient whose value exceeds 0.600) was found in relation to the satisfaction with the operation of the radiotherapy department, namely in terms of work and the provision of information by radiology engineers and doctors’ work and kindness. All the correlations obtained were statistically significant in terms of risk (1 %). Conclusion Conclusion: The assessment of a patient’s satisfaction level is a generally recognized method of determining the quality of healthcare services. The efficiency of a patient’s medical treatment is determined by multiple factors, among them being the working environment, relationships among the medical staff, the methods of leadership and organization, motivation and training of the medical staff. Hence, the opinions of patients represent a vital basis for the planning of changes and improvements that would lead to a quality implementation of work and medical care . EP-1862 Alert issues in the radiotherapy D. Eyssen 1 1 MAASTRO Clinic, Radiation Oncology, Maastricht, The Netherlands Purpose or Objective There are several report available with information about risky circumstances in healthcare. The ECRI publish a top 10 list from risk in healthcare. The ECRI is an independent, non- profit organization who investigates the best approach for improvement of risk, quality and cost effectivity in patientcare. On their website the top 10 hazard list is presented.According to these lists, alarm management is a top 10 risk. Due to the dominant human- technic relation within the radiotherapy this risk is also an issue in the radiotherapy. Material and Methods The main focus for this research is advisory towards reliable alerts at the right, risky moment whereby the user will receive an adequate alert and knows how to handle. There will be an comparison of the incident database between the radiotherapy institutes. The cadre for this comparison is: The overkill off reminders / pop-ups / warnings. The lack of reminders / pop-ups / warnings.The process on the linear accelerator. There will also be a tally between radiotherapy institutes. The main focus is to investigate if there are different alerts between the institutes and the way institutes deal with these alerts. For this tally the cadre is the linear accelerator Results Comparison of the database 3 institutes checked their database of incidents. Are there any incident related to Alert management? What seems is that there are not that many incident report related to this topic. Although the less reports about alerts management, it was still possible to classify the reports in four groups: Alerts that have less organizational embedding. This can lead to alerts tiredness. No alert present but desirable. Unclear alerts for the user. Alerts 9 institutes have shared their data and tally their alerts on the linear accelerator. The project group collect all the data and processed it into a document. Although there is variation between the number of alerts popups between the different vendors, all the institutes received 1 to 5 whereof not sure what the consequences are Tally between the radiotherapy institutes

alerts pop ups during one single patient treatment.

There also seems a difference between the vendors. In the comparison there is clearly visible that one suppliers presenting less alert pop up than the other. There is no value judgment between the vendors about the alerts and related incidents. Also the action that should be taken by the alerts is different between the two vendors. One vendor is using an override while the other is using the OK button

Conclusion Alerts are an issue in the radiotherapy. This research shows that for each patient treatment the user must deal with 1 to 5 alerts depending on the supplier. This indicates that bad alerts management will not lead to false radiation. On the other hand an overkill from alerts will lead to alerts tiredness.A linear accelerator can make over more than one thousand alerts. For the user is unthinkable to deal with all these alerts. But act on a random basic is also not conceivable. EP-1863 Risk analysis for image guided lung SBRT A. Perez-Rozos 1 , I. Jerez-Sainz 1 , A. Roman 1 , A. Otero 1 , M. Lobato 1 , Y. Lupiañez 1 , J. Medina 1 1 Hospital Virgen de la Victoria, Radiation Oncology. Medical Physics., Malaga, Spain Purpose or Objective Stereotactic Body Radiotherapy (SBRT) is a complex technique that reduce number of sessions and increase fraction dose, with higher accuracy requirements. In this work we carry out a risk analysis of our lung SBRT simulation, planning and treatment process using Failure Modes and Effects methodology (FMEA). Material and Methods FMEA analysis was performed by a multidisciplinary team integrated by radiographers, nurses, medical physicists, and radiation oncologists. Main steps were: identify flux diagram of whole process, assign risk and probability for every steps, and specific analisys of higher RPN number steps to reduce global risk uncertainty. Results Main analyzed steps include: a. Simulation, b. Prescription and treatment planning c. Preparation and treatment verification d. Treatment delivery. Every step was then described with higher detail. The detail degree has to be enough to allow for clarity, but not too high to loose in small unimportant steps. In every substep we identifyed failures modes and effects and risk piority numbers (RPN) were assigned, using a score for severity, ocurrence and detection probabilities