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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
whereof not sure what the consequences are
Tally between the radiotherapy institutes
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
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