Patents by Inventor Jesse M. Lock
Jesse M. Lock has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20230317296Abstract: A risk-based patient monitoring system for critical care patients combines data from multiple sources to assess the current and the future risks to the patient, thereby enabling providers to review a current patient risk profile and to continuously track a clinical trajectory. A physiology observer module in the system utilizes multiple measurements to estimate Probability Density Functions (PDF) of a number of Internal State Variables (ISVs) that describe components of the physiology relevant to the patient treatment and condition. A clinical trajectory interpreter module in the system utilizes the estimated PDFs of ISVs to identify under which probable patient states the patient can be currently categorized and assign a probability value that the patient will be in each of the identified states. The combination of patient states and their probabilities is defined as the clinical risk to the patient.Type: ApplicationFiled: June 7, 2023Publication date: October 5, 2023Applicant: Etiometry Inc.Inventors: Dimitar V. Baronov, Evan J. Butler, Jesse M. Lock, Michael F. McManus
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Publication number: 20230215556Abstract: Systems, methods, and computer-readable media for providing a decision support solution to medical professionals to optimize medical care through data monitoring and feedback treatment are provided herein. In another embodiment, a computer-implemented method for modeling patient outcomes resulting from treatment in a specific medical area includes receiving patient-specific data associated with a patient, determining a plurality of possible patient states under which the patient can be categorized, a current patient state under which the patient can be categorized and determining probabilities of the patient transitioning from any of the possible patient states to every other possible patient state.Type: ApplicationFiled: December 19, 2022Publication date: July 6, 2023Inventors: Dimitar V. Baronov, Evan J. Butler, Jesse M. Lock
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Patent number: 11676730Abstract: A risk-based patient monitoring system for critical care patients combines data from multiple sources to assess the current and the future risks to the patient, thereby enabling providers to review a current patient risk profile and to continuously track a clinical trajectory. A physiology observer module in the system utilizes multiple measurements to estimate Probability Density Functions (PDF) of a number of Internal State Variables (ISVs) that describe components of the physiology relevant to the patient treatment and condition. A clinical trajectory interpreter module in the system utilizes the estimated PDFs of ISVs to identify under which probable patient states the patient can be currently categorized and assign a probability value that the patient will be in each of the identified states. The combination of patient states and their probabilities is defined as the clinical risk to the patient.Type: GrantFiled: September 25, 2020Date of Patent: June 13, 2023Assignee: Etiometry Inc.Inventors: Dimitar V. Baronov, Evan J. Butler, Jesse M. Lock, Michael F. McManus
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Patent number: 11557394Abstract: Systems, methods, and computer-readable media for providing a decision support solution to medical professionals to optimize medical care through data monitoring and feedback treatment are provided herein. In another embodiment, a computer-implemented method for modeling patient outcomes resulting from treatment in a specific medical area includes receiving patient-specific data associated with a patient, determining a plurality of possible patient states under which the patient can be categorized, a current patient state under which the patient can be categorized and determining probabilities of the patient transitioning from any of the possible patient states to every other possible patient state.Type: GrantFiled: January 26, 2018Date of Patent: January 17, 2023Assignee: Etiometry Inc.Inventors: Dimitar V. Baronov, Evan J. Butler, Jesse M. Lock
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Patent number: 11482336Abstract: A risk-based patient monitoring system for critical care patients combines data from multiple sources to assess the current and the future risks to the patient, thereby enabling providers to review a current patient risk profile and to continuously track a clinical trajectory. A physiology observer module in the system utilizes multiple measurements to estimate Probability Density Functions (PDF) of a number of Internal State Variables (ISVs) that describe a components of the physiology relevant to the patient treatment and condition. A clinical trajectory interpreter module in the system utilizes the estimated PDFs of ISVs to identify under which probable patient states the patient can be currently categorized and assign a probability value that the patient will be in each of the identified states. The combination of patient states and their probabilities is defined as the clinical risk to the patient.Type: GrantFiled: October 6, 2020Date of Patent: October 25, 2022Assignee: Etiometry Inc.Inventors: Dimitar V. Baronov, Evan J. Butler, Jesse M. Lock, Michael F. McManus
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Publication number: 20220310266Abstract: A risk-based patient monitoring system for critical care patients combines data from multiple sources to assess the current and the future risks to the patient, thereby enabling providers to review a current patient risk profile and to continuously track a clinical trajectory. A physiology observer module in the system utilizes multiple measurements to estimate Probability Density Functions (PDF) of a number of Internal State Variables (ISVs) that describe a components of the physiology relevant to the patient treatment and condition. A clinical trajectory interpreter module in the system utilizes the estimated PDFs of ISVs to identify under which probable patient states the patient can be currently categorized and assign a probability value that the patient will be in each of the identified states. The combination of patient states and their probabilities is defined as the clinical risk to the patient.Type: ApplicationFiled: May 17, 2022Publication date: September 29, 2022Applicants: Etiometry, Inc., Etiometry, Inc.Inventors: Dimitar V. Baronov, Evan J. Butler, Jesse M. Lock, Michael F. McManus
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Publication number: 20220293279Abstract: A risk-based patient monitoring system for critical care patients combines data from multiple sources to assess the current and the future risks to the patient, thereby enabling providers to review a current patient risk profile and to continuously track a clinical trajectory. A physiology observer module in the system utilizes multiple measurements to estimate Probability Density Functions (PDF) of a number of Internal State Variables (ISVs) that describe a components of the physiology relevant to the patient treatment and condition. A clinical trajectory interpreter module in the system utilizes the estimated PDFs of ISVs to identify under which probable patient states the patient can be currently categorized and assign a probability value that the patient will be in each of the identified states. The combination of patient states and their probabilities is defined as the clinical risk to the patient.Type: ApplicationFiled: May 17, 2022Publication date: September 15, 2022Applicants: Etiometry, Inc., Etiometry, Inc.Inventors: Dimitar V. Baronov, Evan J. Butler, Jesse M. Lock, Michael F. McManus
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Publication number: 20210104328Abstract: A risk-based patient monitoring system for critical care patients combines data from multiple sources to assess the current and the future risks to the patient, thereby enabling providers to review a current patient risk profile and to continuously track a clinical trajectory. A physiology observer module in the system utilizes multiple measurements to estimate Probability Density Functions (PDF) of a number of Internal State Variables (ISVs) that describe a components of the physiology relevant to the patient treatment and condition. A clinical trajectory interpreter module in the system utilizes the estimated PDFs of ISVs to identify under which probable patient states the patient can be currently categorized and assign a probability value that the patient will be in each of the identified states. The combination of patient states and their probabilities is defined as the clinical risk to the patient.Type: ApplicationFiled: October 6, 2020Publication date: April 8, 2021Inventors: Dimitar V. Baronov, Evan J. Butler, Jesse M. Lock, Michael F. McManus
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Publication number: 20210090742Abstract: A risk-based patient monitoring system for critical care patients combines data from multiple sources to assess the current and the future risks to the patient, thereby enabling providers to review a current patient risk profile and to continuously track a clinical trajectory. A physiology observer module in the system utilizes multiple measurements to estimate Probability Density Functions (PDF) of a number of Internal State Variables (ISVs) that describe components of the physiology relevant to the patient treatment and condition. A clinical trajectory interpreter module in the system utilizes the estimated PDFs of ISVs to identify under which probable patient states the patient can be currently categorized and assign a probability value that the patient will be in each of the identified states. The combination of patient states and their probabilities is defined as the clinical risk to the patient.Type: ApplicationFiled: September 25, 2020Publication date: March 25, 2021Inventors: Dimitar V. Baronov, Evan J. Butler, Jesse M. Lock, Michael F. McManus
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Patent number: 10796804Abstract: A risk-based patient monitoring system for critical care patients combines data from multiple sources to assess the current and the future risks to the patient, thereby enabling providers to review a current patient risk profile and to continuously track a clinical trajectory. A physiology observer module in the system utilizes multiple measurements to estimate Probability Density Functions (PDF) of a number of Internal State Variables (ISVs) that describe a components of the physiology relevant to the patient treatment and condition. A clinical trajectory interpreter module in the system utilizes the estimated PDFs of ISVs to identify under which probable patient states the patient can be currently categorized and assign a probability value that the patient will be in each of the identified states. The combination of patient states and their probabilities is defined as the clinical risk to the patient.Type: GrantFiled: August 27, 2018Date of Patent: October 6, 2020Assignee: Etiometry, Inc.Inventors: Dimitar V. Baronov, Evan J. Butler, Jesse M. Lock, Michael F. McManus
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Publication number: 20180366229Abstract: A risk-based patient monitoring system for critical care patients combines data from multiple sources to assess the current and the future risks to the patient, thereby enabling providers to review a current patient risk profile and to continuously track a clinical trajectory. A physiology observer module in the system utilizes multiple measurements to estimate Probability Density Functions (PDF) of a number of Internal State Variables (ISVs) that describe a components of the physiology relevant to the patient treatment and condition. A clinical trajectory interpreter module in the system utilizes the estimated PDFs of ISVs to identify under which probable patient states the patient can be currently categorized and assign a probability value that the patient will be in each of the identified states. The combination of patient states and their probabilities is defined as the clinical risk to the patient.Type: ApplicationFiled: August 27, 2018Publication date: December 20, 2018Inventors: Dimitar V. Baronov, Evan J. Butler, Jesse M. Lock, Michael F. McManus
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Patent number: 10062456Abstract: A risk-based patient monitoring system for critical care patients combines data from multiple sources to assess the current and the future risks to the patient, thereby enabling providers to review a current patient risk profile and to continuously track a clinical trajectory. A physiology observer module in the system utilizes multiple measurements to estimate Probability Density Functions (PDF) of a number of Internal State Variables (ISVs) that describe a components of the physiology relevant to the patient treatment and condition. A clinical trajectory interpreter module in the system utilizes the estimated PDFs of ISVs to identify under which probable patient states the patient can be currently categorized and assign a probability value that the patient will be in each of the identified states. The combination of patient states and their probabilities is defined as the clinical risk to the patient.Type: GrantFiled: June 1, 2015Date of Patent: August 28, 2018Assignee: Etiometry Inc.Inventors: Dimitar V. Baronov, Evan J. Butler, Jesse M. Lock, Michael F. McManus
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Publication number: 20180169335Abstract: Systems, methods, and computer-readable media for providing a decision support solution to medical professionals to optimize medical care through data monitoring and feedback treatment are provided herein. In another embodiment, a computer-implemented method for modeling patient outcomes resulting from treatment in a specific medical area includes receiving patient-specific data associated with a patient, determining a plurality of possible patient states under which the patient can be categorized, a current patient state under which the patient can be categorized and determining probabilities of the patient transitioning from any of the possible patient states to every other possible patient state.Type: ApplicationFiled: January 26, 2018Publication date: June 21, 2018Inventors: Dimitar V. Baronov, Evan J. Butler, Jesse M. Lock
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Publication number: 20150347704Abstract: A risk-based patient monitoring system for critical care patients combines data from multiple sources to assess the current and the future risks to the patient, thereby enabling providers to review a current patient risk profile and to continuously track a clinical trajectory. A physiology observer module in the system utilizes multiple measurements to estimate Probability Density Functions (PDF) of a number of Internal State Variables (ISVs) that describe a components of the physiology relevant to the patient treatment and condition. A clinical trajectory interpreter module in the system utilizes the estimated PDFs of ISVs to identify under which probable patient states the patient can be currently categorized and assign a probability value that the patient will be in each of the identified states. The combination of patient states and their probabilities is defined as the clinical risk to the patient.Type: ApplicationFiled: June 1, 2015Publication date: December 3, 2015Inventors: Dimitar V. Baronov, Evan J. Butler, Jesse M. Lock, Michael F. McManus
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Publication number: 20150059756Abstract: Systems, methods, and computer-readable media for providing a decision support solution to medical professionals to optimize medical care through data monitoring and feedback treatment are provided herein. In another embodiment, a computer-implemented method for modeling patient outcomes resulting from treatment in a specific medical area includes receiving patient-specific data associated with a patient, determining a plurality of possible patient states under which the patient can be categorized, a current patient state under which the patient can be categorized and determining probabilities of the patient transitioning from any of the possible patient states to every other possible patient state.Type: ApplicationFiled: November 6, 2014Publication date: March 5, 2015Inventors: Dimitar V. Baronov, Evan J. Butler, Jesse M. Lock
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Publication number: 20140142970Abstract: A graphical user interface provides a system and method for representing patient risks and other clinical information. The risks correspond to the probabilities that the patient exhibits particular conditions and respective etiologies. In addition the graphical user interface provides a method for representing the utility of different possibly harmful modes of physiologic monitoring in estimating these risks.Type: ApplicationFiled: November 19, 2013Publication date: May 22, 2014Applicant: Etiometry LLCInventors: Dimitar V. Baronov, Evan J. Butler, Jesse M. Lock
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Publication number: 20130231949Abstract: A risk-based patient monitoring system for critical care patients combines data from multiple sources to assess the current and the future risks to the patient, thereby enabling providers to review a current patient risk profile and to continuously track a clinical trajectory. A physiology observer module in the system utilizes multiple measurements to estimate Probability Density Functions (PDF) of a number of Internal State Variables (ISVs) that describe a components of the physiology relevant to the patient treatment and condition. A clinical trajectory interpreter module in the system utilizes the estimated PDFs of ISVs to identify under which probable patient states the patient can be currently categorized and assign a probability value that the patient will be in each of the identified states. The combination of patient states and their probabilities is defined as the clinical risk to the patient.Type: ApplicationFiled: March 14, 2013Publication date: September 5, 2013Inventors: Dimitar V. Baronov, Evan J. Butler, Jesse M. Lock, Michael F. McManus
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Publication number: 20130085775Abstract: Systems, methods, and computer-readable media for providing a decision support solution to medical professionals to optimize medical care through data monitoring and feedback treatment are provided herein. In another embodiment, a computer-implemented method for modeling patient outcomes resulting from treatment in a specific medical area includes receiving patient-specific data associated with a patient, determining a plurality of possible patient states under which the patient can be categorized, a current patient state under which the patient can be categorized and determining probabilities of the patient transitioning from any of the possible patient states to every other possible patient state.Type: ApplicationFiled: November 29, 2012Publication date: April 4, 2013Inventors: Dimitar V. Baronov, Evan J. Butler, Jesse M. Lock
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Publication number: 20130054264Abstract: Systems, methods, and computer-readable media for providing a decision support solution to medical professionals to optimize medical care through data monitoring and feedback treatment are provided herein. In another embodiment, a computer-implemented method for modeling patient outcomes resulting from treatment in a specific medical area includes receiving patient-specific data associated with a patient, determining a plurality of possible patient states under which the patient can be categorized, a current patient state under which the patient can be categorized and determining probabilities of the patient transitioning from any of the possible patient states to every other possible patient state.Type: ApplicationFiled: March 5, 2012Publication date: February 28, 2013Applicant: STERLING POINT RESEARCH, LLCInventors: Dimitar V. Baronov, Evan J. Butler, Jesse M. Lock