Algorithms are increasingly being developed on the basis of large data sets, also in the field of health, whether for predicting treatment outcomes or life-expectancy. In surgery it is also becoming increasingly more important to analyze complications at an early stage and to subsequently reduce them. The aim is to improve the quality of treatment and quality of life and thus to improve patient well-being. The German Society for General and Visceral Surgery (DGAV) has developed 12 StuDoQ registers in which pseudonymized data from a total of 150,000 patients are recorded. Risk models were developed and validated at the Institute for Medical Information Processing, Biometry and Epidemiology (IBE) of the Ludwig Maximilian University in Munich using the collected data from the StuDoQ|colon cancer and StuDoQ|rectal cancer registers. Based on the collected patient data, the risk calculator determines the statistical probability of the individual complication profile of the patient who is to undergo surgery. The aim is to support surgeons and patients in the decision making process for the individual procedure. The surgeon with his individual experience ultimately remains responsible for the patient.
CITATION STYLE
Buhr, H. J., Klinger, C., Lehmann, K. S., Strahwald, B., & Rieger, A. (2019). German Society for General and Visceral Surgery (DGAV) risk calculator of interventions for colorectal cancer: Presentation of a surgical algorithm on patient participation and quality assurance. Chirurg, 90(4), 287–292. https://doi.org/10.1007/s00104-019-0936-y
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