title: Closed-loop strategies for patient care systems.
abstract: Military operations, mass casualty events, and remote work sites present unique challenges to providers of immediate medical care, who may lack the necessary skills for optimal clinical management. Moreover, the number of patients in these scenarios may overwhelm available health care resources. Recent applications of closed-loop control (CLC) techniques to critical care medicine may offer possible solutions for such environments. Here, feedback of a monitored variable or group of variables is used to control the state or output of a dynamic system. Some potential advantages of CLC in patient management include limiting task saturation when there is simultaneous demand for cognitive and active clinical intervention, improving quality of care through optimization of the titration of medications, conserving limited consumable supplies, preventing secondary insults in traumatic brain injury, shortening the duration of mechanical ventilation, and achieving appropriate goal-directed resuscitation. The uses of CLC systems in critical care medicine have been increasingly explored across a wide range of therapeutic modalities. This review will provide an overview of control system theory as applied to critical care medicine that must be considered in the design of autonomous CLC systems, and introduce a number of clinical applications under development in the context of deployment of such applications to austere environments.
authors.affiliation: Department of Anesthesiology and Critical Care Medicine, Johns Hopkins Bayview Medical Center, Baltimore, MD, USA. rpauldi1@jhmi.edu
authors.forename: Ronald
authors.initials: R
authors.lastname: Pauldine
authors.forename: George
authors.initials: G
authors.lastname: Beck
authors.forename: Jose
authors.initials: J
authors.lastname: Salinas
authors.forename: David W
authors.initials: DW
authors.lastname: Kaczka
mesh_terms: D020811:Biomedical Technology / Q000379:methods / Q000458:organization & administration*; D003422:Critical Care / Q000379:methods / Q000458:organization & administration*; D005246:Feedback; D017143:Fuzzy Logic; D006801:Humans; D012121:Respiration, Artificial / Q000379:methods