surgical audit and research.pptx
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This document discusses surgical audit, quality improvement, and research. It notes that audit determines how an organization is currently performing, quality improvement is the process of moving from current to best performance, and research discovers new knowledge. The document outlines that audit involves single data collections before and after an intervention, while quality improvement uses continuous data collection and testing through the PDSA cycle. It argues that audit alone is inferior to quality improvement tools for driving improvements. Quality improvement involves planning a journey from current to best performance as identified by audit and research.
surgical audit and research.pptx
- 1. Surgical audit , QI and research Dr Thana Ram Patel Assistant Professor Department of General Surgery Dr SN Medical College jodhpur
- 2. Audit asks the question How are we performing? QI projects ask How do we best actually improve? Research asks the question What new knowledge can we discover? Audit tells us how we are currently performing. QI is the process of moving from how we are performing towards what is possible.Research helps us define what is possible.
- 4. an audit cycle is often performed with a single data collection and recommendations -> intervention(s) from the recommendations -> further single data collection months later. QI is a continuous process, primarily represented by continuous data collection for the run chart, and continuous testing and learning through PDSA
- 5. audit our argument is that audit is often mistakenly used as a method for improvement. It can be done, but it is far inferior to using the tools. In an audit cycle a data set is collected before an intervention, and then a further set after.
- 9. Quality improvement QI In many ways a QI project can be seen as the journey from how we are performing now (as identified by an audit), towards what we know is possible (as identified by research) Plan do study act (PDSA)/ plan do check act (PDCA) cycle
- 14. 1. What we.. What we are trying to accomplish? 1. breaking down the problem. 2. where does the problem lie?- process mapping 3. defining the problem SMART aims
- 15. Specific , measurable, attainable, relevant , and time bound (SMART)
- 16. 2. How . How will we know a change is an improvement? 1. data over time run charts 2. collecting data
- 18. 3. What changes What changes can we make that will result in an improvement ? 1. what influences the outcome? Driver diagrams 2. testing ideas PDSA cycles
- 29. research
- 31. Study design 1. Experimental / interventional / treatment (analytical) Observation studies Analytical (hypothesis testing) Case control / case reference / retrospective /backward Cohort /follow up / incidence / prospective / forward Descriptive studies (hypothesis formulation)