What is the Delivered Medical Benefit of a device expected to improve the results of a surgical procedure? Could the answer to this question inspire the choice of the information displayed to the surgeon and the design of the interface that will enable him or her to make the best possible use of this information during the surgical procedure? On this basis, would it be possible to detect in real time a discrepancy between a procedure and “good surgical practice”? Computer Assisted Medical Interventions (CAMI) devices begin to significantly be used in the operating theaters, which allows to envisage an original way of answering these questions. They indeed track in real time the position of the surgeon’s instruments, and are based on images where target organs, as well as organs to avoid, may be seen. No company proposes today to simultaneously and systematically record all the very rich data captured by all the sensors required for CAMI, nor to mine the data-base that all surgeons using CAMI could feed. We bet that CAMI domain is sufficiently mature to allow long-term design of a real « Case-Based Real-Time Assistant for Good Surgical Practices », capable to estimate in real time the distance between a procedure being performed on a patient and “Good Surgical Practices” that would be based on a data-base of surgical procedures. This data-base should be annotated along collaboratively-defined principles, and would be made accessible along procedures enforcing medical data regulations. This would lead from CAMI to “Demonstrated Quality and Reliability in Surgery”.
3 synergic directions have to be explored. A CAMI Observatory will allow to structure data characterizing surgical procedures in a way that will enable extraction and exchange of an estimation of the Delivered Medical Benefit. This Observatory will be fed by data describing surgical endoscopic procedures that will mutually enrich each other, in order to allow an as automatic as possible annotation of the various steps of the surgical procedure. Finally, this set of data will be displayed to the surgeon by interfaces allowing collaborative visualization and analysis of data along paradigms that will take into account the specific characteristics of surgical context.
CQFD Labcom is driven by TIMC-IMAG (Combined Research Unit of CNRS and UJF), which launched in 1984 the CAMI domain, and which proposes to exploit already patented tracks for capture and fusion of multimodal information, as well as for surgical interfaces. CIC-IT (INSERM / CHU de Grenoble / UJF) brings its skill in clinical research methodology; it already started paving the way for a CAMI Observatory. SurgiQual Institute (SQI) is also already industrially present on the 3 axes of work. In each of these 3 axes, results can be expected at relatively short term, potentially leading quickly to products, and longer-term tracks may be identified, for which laboratory demonstrators will be developed in the course of the project. This is a very favorable configuration for a Common Laboratory. TIMC-IMAG, CIC-IT and SQI have already been associated in research projects, and expect by creating a common laboratory to get to a much tighter and more sustainable collaboration.
Monsieur Philippe CINQUIN (Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
TIMC-IMAG Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble
Help of the ANR 300,000 euros
Beginning and duration of the scientific project: February 2014 - 36 Months