Patent Document ID: 10062456
Application ID: 14727696
Patent Flag: 1

Claim One:
1. A risk: based monitoring system for transforming measured data, including heart rate and blood oxygen, of a critical care patient into hidden internal state data that is not directly measurable with sensors, the hidden internal state being monitored by the system, the system comprising: a processor; a memory coupled to the processor; a display operably coupled to the processor; a data reception module, the data reception module having a set of inputs for a plurality of sensors including at least a heart rate sensor and an SpO2 sensor, the plurality of sensors being couplable to the critical care patient, wherein the plurality of sensors provide, to the data reception module, data associated with a corresponding plurality of internal state variables m s , S=1,. .. , n, over a series of time steps t k , K=0, 1,. .. Z each internal state variable m s characterizing a parameter physiologically relevant to at least one of a treatment and a condition of the patient; a physiology observer module, in communication with the data reception module, the physiology observer module configured to update, via a first and second computer processes, the data provided by the sensors to the data reception module, wherein: the first computer process generates a conditional likelihood kernel for the internal state variables m S at time t k , the conditional likelihood kernel comprising a set of probability density functions, each such probability density function being for a distinct internal state variable m S at time t k ; and the second computer process generates, using Bayes theorem, posterior predicted conditional probability density functions for each of the internal state variables m s for the time step t k given the conditional likelihood kernel for the internal state variables at time t k and a predicted conditional probability density function of each of the internal state variables for time t k ; and a clinical trajectory interpreter module, in communication with the physiology observer module, configured to determine, based on the generated posterior predicted conditional probability density functions of the internal state variables m s at time step t k , a set of possible states of a hidden internal state variable to generate a probability value representing the likelihood that the patient's oxygen delivery, which cannot be directly measured, is inadequate; and a user interaction module configured to: display, on the display device, a plurality of graphical indicators, each of the plurality of graphical indicators corresponding to one of the states of the set of possible states of the hidden internal state variable, each of the plurality of graphical indicators graphically identifying the probability that the hidden internal state variable is in a corresponding state at a given point in a range of time, the plurality of graphical indicators configured to indicate a hazard level.