Lecture 5 Flashcards
1
Q
What are three techniques for quality improvement?
A
- statistical process control
- incident learning and root cause analysis
- failure mode and affect analysis
2
Q
What are quality measures?
A
- quantitative description of how well you quality indicator achieved
3
Q
What is a quality indicator?
A
- most appropriate treatment for patient diagnosis
4
Q
What is action limits?
A
- degree results can vary before causing harm to patient
5
Q
What are tolerance levels?
A
- define the boundary within which the process is considered operating normally
6
Q
What is failure mode and effect analysis
A
- provides a rational means for identifying and prioritizing risk
- identifying all the failure modes that can occur in all steps of a process
7
Q
What are the three scroes assigned to each failure mode in FMEA?
A
- severity
- probability of occurence
- probability that the failure would go undetected
8
Q
What is incident learning?
A
- identification of problems in the care delivery process and the subsequent investigation of those problems with the aim of uncovering and addressing causal factors and latent condititions for error
9
Q
What is root cause analysis?
A
- identify the underlying causes of system failure
- provides information needed to solve problems and address these failures
10
Q
What are the key factors of RCA?
A
- reactive process
- takes place after the harm has been done
- deal with actual failures
- look backwards
11
Q
What are the key factors of FMEA?
A
- pro-active
- aimed at predicting the adverse outcomes of various human and machine failures and system states
- deal with hypothetic failures
- look forward in time
12
Q
What is statistical process control?
A
- an analytical decision-making tool that employs statistics to measure and monitor a system process
13
Q
What does SPC rely on?
A
- control charts to track a data measure of interest such as pass rate of IMRT QA plans
14
Q
What is artifical intelligence?
A
- is the use of technology to mimic human behaviour/perform tasks like a human approaches
15
Q
What is machine learning?
A
- subset of AI which relies on statistical methods to enable technologies to learn without explicit programming
- program learns from experiences
16
Q
What is deep learning?
A
- subset of ML
- uses algorithms called artifical neural network to continually analyse data with a logic structure similar to how a human would draw conclusions
17
Q
What is artificial neural networks?
A
- can learn to perform tasks without being programmed
18
Q
What is concolutional neural networks?
A
- refers to a mathematical operation on 2 functions to produce a third function
19
Q
What are benefits of AI?
A
- streamlining workflows
- decision support tools
- reducing potential human errors
- increase efficency
20
Q
What are the limitations of AI?
A
- lose skills and clinical judgements
- ethical issues
- automation bias
