| CPC A61B 34/25 (2016.02) [A61B 17/12 (2013.01); A61B 17/320092 (2013.01); A61B 2017/00026 (2013.01); A61B 2017/00044 (2013.01); A61B 2017/00115 (2013.01); A61B 2017/00199 (2013.01); A61B 2017/12004 (2013.01); A61B 2017/320093 (2017.08); A61B 2017/320097 (2017.08); A61B 2034/252 (2016.02)] | 12 Claims |

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1. A computing system comprising a processor configured to at least:
obtain, via at least one sensing system, measurement data associated with at least one patient biomarker;
determine mental state data and physical state data, wherein the mental state data and the physical state data are associated with a healthcare professional (HCP);
determine a bleeding event probability and a clotting event probability based on the measurement data, the mental state data, and the physical state data;
determine a risk score trend based on the bleeding event probability and the clotting event probability, wherein the risk score trend indicates a likelihood of an adverse surgical outcome;
predict a hemostasis complication when the risk score trend exceeds a threshold;
generate a first control signal to mitigate the hemostasis complication and the adverse surgical outcome, wherein the first control signal indicates a location of tissue at risk of the hemostasis complication;
generate a second control signal to mitigate the hemostasis complication and the adverse surgical outcome by adjusting a parameter of a surgical device based on the mental state data and the physical state data; and
send the first control signal to a display and the second control signal to the surgical device.
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