Healthcare is under a constant pressure to be more cost efficient. The reimbursements that healthcare providers receive for interventions are more and more tailored to the case and the way the case is carried out. A good example is that in North America, reimbursements are higher for cases that are done via radial access than done via femoral access. These reimbursement factors are key KPI’s that healthcare providers would like to track automatically. The logging from our IGT systems show various parameters that can be used to identify if the case is done via the arm or via the groin of the patient. The position of the x-ray c-arm with respect to the position of the patient is one of the key aspects, but also the angle of the c-arm, rotation of the detector and x-ray tube and other parameters are factors that can give clues on how the case is performed.
The focus will be on the definition of a method based on system logging that can discover which case was done through radial access and which case was done through femoral access. Initially an assessment must be made which parameters are key in identifying the difference between these approaches. Secondly, these parameters must be identified and analyzed in the system logging. Thirdly, an algorithm must be produced and verified that can automatically identify which clinical approach (radial/femoral) is taken in each case and results are visualized using a dashboard.
The research goal that is addressed is: Given a system event log, how can the clinical access point be automatically identified such that KPI tracking per case can be supported.
For more information, contact Natalia Sidorova: N.Sidorova@TUE.nl