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Clinical decision support for sepsis

  • US 10,734,115 B1
  • Filed: 08/09/2013
  • Issued: 08/04/2020
  • Est. Priority Date: 08/09/2012
  • Status: Active Grant
First Claim
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1. A method for detecting sepsis in a patient in a multi-agent computing system, the method comprising:

  • receiving, from a first source, a first set of patient information corresponding to a patient;

    generating a multi-site risk assessment array for the patient representing the patient'"'"'s risk of developing sepsis, the multi-site risk assessment array being a computing data structure and including a plurality of state nodes, each state node corresponding to a distinct condition parameter, wherein the status of each state node is updateable by a computing agent operating on the multi-site risk assessment array when the multi-site risk assessment array is active;

    for a first node of the active multi-site risk assessment array corresponding to the first set of patient information, populating at least one value of the first node with at least a portion of the first set of patient information;

    receiving, from a second source, a second set of patient information corresponding to the patient, wherein the first source is distinct and separate from the second source each source utilizing different record systems;

    for a second node of the active multi-site risk assessment array corresponding to at least a portion of the second set of patient information, populating at least one value of the second node with the at least the portion of the second set of patient information;

    receiving a first set of sepsis-specific actionable criteria for determining whether a patient is at risk for developing sepsis and a second set of sepsis-specific actionable criteria for determining whether a patient is at risk for developing sepsis, the first set of actionable criteria being different from the second set of actionable criteria;

    associating the first set of actionable criteria with a first computing agent of the multi-agent computer system, the first computing agent having a first set of agent parameters, and the second set of actionable criteria with a second computing agent of the multi-agent computer system, the second computing agent having a second set of agent parameters, wherein the first computing agent and the second computing agent continuously monitor the multi-site risk assessment array in parallel, the monitoring comprising applying the first set of agent parameters to the multi-site risk assessment array by the first computing agent and applying the second set of agent parameters to the multi-site risk assessment array by the second computing agent to generate plurality of evaluations of the multi-site risk assessment array based on the actionable criteria associated with each computing agent;

    for each of the first and second computing agents, based on their respective agent parameters and associated sets of actionable criteria, determining that at least one set of actionable criteria have been met based on at least the values stored in the first node and the second node of the active multi-site risk assessment array, wherein the first computing agent and the second computing agent are dynamically swapped by the multi-agent computer system based on at least one evaluation, the swapping invoked automatically based on a determination by the multi-agent system that the first computing agent or the second computing agent yields a more accurate evaluation for sepsis based on a comparison, by the multi-agent system, of the at least one evaluation; and

    providing a notification that the sepsis-specific actionable criteria have been met based on an evaluation generated by at least one of the first computing agent and the second computing agent.

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