US 12,272,462 B2
System and methods for transitioning patient care from signal based monitoring to risk based monitoring
Dimitar V. Baronov, Weston, MA (US); Evan J. Butler, New Haven, CT (US); Jesse M. Lock, Winchester, MA (US); and Michael F. McManus, Pembroke, MA (US)
Assigned to Etiometry Inc., Boston, MA (US)
Filed by Etiometry Inc., Boston, MA (US)
Filed on May 17, 2022, as Appl. No. 17/745,983.
Application 17/745,983 is a continuation of application No. 17/064,248, filed on Oct. 6, 2020, granted, now 11,482,336.
Application 17/064,248 is a continuation of application No. 16/113,486, filed on Aug. 27, 2018, granted, now 10,796,804, issued on Oct. 6, 2020.
Application 16/113,486 is a continuation of application No. 14/727,696, filed on Jun. 1, 2015, granted, now 10,062,456, issued on Aug. 28, 2018.
Application 14/727,696 is a continuation of application No. 13/826,441, filed on Mar. 14, 2013.
Application 13/826,441 is a continuation in part of application No. 13/689,029, filed on Nov. 29, 2012, abandoned.
Application 13/826,441 is a continuation in part of application No. 13/328,411, filed on Dec. 16, 2011, abandoned.
Claims priority of provisional application 61/774,274, filed on Mar. 7, 2013.
Claims priority of provisional application 61/727,820, filed on Nov. 19, 2012.
Claims priority of provisional application 61/699,492, filed on Sep. 11, 2012.
Claims priority of provisional application 61/684,241, filed on Aug. 17, 2012.
Claims priority of provisional application 61/620,144, filed on Apr. 4, 2012.
Claims priority of provisional application 61/614,846, filed on Mar. 23, 2012.
Claims priority of provisional application 61/614,861, filed on Mar. 23, 2012.
Prior Publication US 2022/0310266 A1, Sep. 29, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G16H 50/30 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01)
CPC G16H 50/30 (2018.01) [G16H 50/20 (2018.01); G16H 50/50 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A risk-based monitoring system for transforming measured data of a 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, the plurality of sensors being couplable to the patient, wherein the plurality of sensors provide, to the data reception module, data associated with a corresponding plurality of internal state variables ms, S=1, . . . , n, over a series of time steps tk, K=0, 1, . . . Z, each internal state variable ms 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 ms at time tk, the conditional likelihood kernel comprising a set of probability density functions, each such probability density function being for a distinct internal state variable ms at time tk; and
the second computer process generates posterior predicted conditional probability density functions for each of the internal state variables ms for the time step tk given the conditional likelihood kernel for the internal state variables at time tk and a predicted conditional probability density function of each of the internal state variables for time tk; 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 ms at time step tk, a set of possible states of a hidden internal state variable; and
a user interaction module configured to:
generate, for 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.