Abstract: Methods and systems for providing renal-related clinical decision support are disclosed. In an example, a medical treatment system includes a plurality of medical machines located at each of a plurality of hospitals. At least one medical machine of each hospital generates machine output data. The medical treatment system also includes a plurality of sources of data external to the medical machines and a logic engine implemented on a computer. The logic engine is configured to obtain a module formed via data from the plurality of sources and from the machine output data. The module quantifies a risk assessment for an adverse health condition of a patient undergoing treatment by one of the medical machines. The logic engine is also configured to compare an outcome from the module to a clinical setpoint for the adverse health condition, and provide a notification based on the comparison.

Abstract: An extracorporeal and drug delivery system includes (i) a renal failure therapy machine operable with a blood filter in fluid communication with an arterial line and a venous line, the machine including (a) an effluent pump for pumping effluent from the blood filter at an effluent flowrate, and at least one of (b) a dialysis fluid pump for pumping dialysis fluid to the blood filter at a dialysis fluid flowrate, (c) a predilution pump for pumping replacement fluid into the arterial line at a predilution flowrate, or (d) a postdilution pump for pumping replacement fluid into the venous line at a postdilution flowrate; (ii) an infusion pump operable to deliver an intravenous (“IV”) drug to the patient at an IV drug flowrate; and (iii) a coordinating logic implementor configured to adjust the IV drug flowrate based on an amount of the IV drug removed via the effluent flowrate.