Patents by Inventor Evan J. Butler
Evan J. Butler 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).
-
Publication number: 20240006071Abstract: A system determines patient eligibility for a medical protocol. The system includes a medical protocol library containing information relating to a plurality of medical protocols. The information includes eligibility rules and compliance rules for the plurality of medical protocols. The system also includes a sensor and medical device interface configured to receive patient data from one or more sensors and/or one or more medical device. The patient data relates to the eligibility rules and/or the compliance rules for at least one of the medical protocols. The system also includes a protocol eligibility module configured to determine patient eligibility for at least one of the medical protocols as a function of the received patient data. Furthermore, the system includes a user interface configured to display an indication that the patient is eligible for the protocol.Type: ApplicationFiled: September 19, 2023Publication date: January 4, 2024Inventors: Dimitar V. Baronov, Robert Hammond-Oakley, Evan J. Butler
-
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
-
Patent number: 11763947Abstract: A system determines patient eligibility for a medical protocol. The system includes a medical protocol library containing information relating to a plurality of medical protocols. The information includes eligibility rules and compliance rules for the plurality of medical protocols. The system also includes a sensor and medical device interface configured to receive patient data from one or more sensors and/or one or more medical device. The patient data relates to the eligibility rules and/or the compliance rules for at least one of the medical protocols. The system also includes a protocol eligibility module configured to determine patient eligibility for at least one of the medical protocols as a function of the received patient data. Furthermore, the system includes a user interface configured to display an indication that the patient is eligible for the protocol.Type: GrantFiled: August 13, 2021Date of Patent: September 19, 2023Assignee: Etiometry Inc.Inventors: Dimitar V. Baronov, Robert Hammond-Oakley, Evan J. Butler
-
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
-
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
-
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
-
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
-
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
-
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
-
Publication number: 20220115129Abstract: A system determines patient eligibility for a medical protocol. The system includes a medical protocol library containing information relating to a plurality of medical protocols. The information includes eligibility rules and compliance rules for the plurality of medical protocols. The system also includes a sensor and medical device interface configured to receive patient data from one or more sensors and/or one or more medical device. The patient data relates to the eligibility rules and/or the compliance rules for at least one of the medical protocols. The system also includes a protocol eligibility module configured to determine patient eligibility for at least one of the medical protocols as a function of the received patient data. Furthermore, the system includes a user interface configured to display an indication that the patient is eligible for the protocol.Type: ApplicationFiled: August 13, 2021Publication date: April 14, 2022Inventors: Dimitar V. Baronov, Robert Hammond-Oakley, Evan J. Butler
-
Publication number: 20220115131Abstract: A method displays patient eligibility and/or compliance with a medical protocol. The method provides a display showing a respective patient identifier for a plurality of patients. The method receives information relating to a plurality of medical protocols. The information includes eligibility rules and compliance rules for each of the plurality of medical protocols. The method receives patient data from one or more sensors and/or one or more medical devices. The received patient data relates to the eligibility rules and/or the compliance rules for at least one of the medical protocols. The display indicates that at least one patient is eligible for an eligible protocol, and that at least one patient is enrolled in an active protocol. A dynamic concordance rate is calculated for the at least one patient that is enrolled in the active protocol. The display indicates the dynamic concordance rate.Type: ApplicationFiled: October 14, 2021Publication date: April 14, 2022Inventors: Dimitar V. Baronov, Robert Hammond-Oakley, Evan J. Butler
-
Publication number: 20220115132Abstract: A system for determining patient eligibility and compliance with a medical protocol includes a medical protocol library containing information relating to a plurality of medical protocols. The information includes eligibility rules and compliance rules for each of the plurality of medical protocols. Each compliance rule has one or more parameters. The system has a sensor and medical device interface. The received patient data relates to the eligibility rules and/or the compliance rules for at least one of the medical protocols. A protocol eligibility module is configured to determine patient eligibility as a function of the received patient data and the eligibility rules relating to the at least one protocol. A protocol compliance module is configured to determine, after the at least one patient is enrolled in an active protocol, a dynamic concordance rate of the at least one patient.Type: ApplicationFiled: October 14, 2021Publication date: April 14, 2022Inventors: Dimitar V. Baronov, Robert Hammond-Oakley, Evan J. Butler
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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