Patents Examined by Alaaeldin M Elshaer
  • Patent number: 12020791
    Abstract: The present invention relates to determining a treatment response index. In order to improve and facilitate hypertension treatment procedures, a device (10) for determining a treatment response index is provided that comprises a data input (12), a data processor (14) and a data output (16). The data input is configured to receive a value (18) of at least one first measurement of a physiological parameter of a subjects vasculature under a first condition; and to provide a value (20) of at least one second measurement of the physiological parameter of the vasculature under a second condition. In the second condition, a pre-determined stimulation is provided, and the first condition is non-stimulated or at least differently stimulated. The data processor is configured to generate a treatment response index. In an example, the data output is configured to provide a classification of the subject into one of at least two groups of subjects, based on the treatment response index.
    Type: Grant
    Filed: October 16, 2019
    Date of Patent: June 25, 2024
    Inventors: Nicolas Daniel Marie Foin, Arjen Van Der Horst, Manfred Mueller, Joachim Kahlert
  • Patent number: 12020810
    Abstract: A physiological monitoring device includes: a sensor interface, a display configured to display information related to the patient, and at least one processor. The at least one processor is configured to: operate the physiological monitoring device into a non-transport mode while docked to one of at least one monitor mount; display first location context information corresponding to a first patient care area on the display while the physiological monitoring device is operating in the non-transport mode in the first patient care area; detect an undocking event in response to undocking the physiological monitoring device from a first monitor mount of the at least one monitor mount, wherein the first monitor mount is located in the first patient care area; and in response to detecting the undocking event, operate the physiological monitoring device in a transport mode, including changing the first location context information to transport context information on the display.
    Type: Grant
    Filed: December 2, 2022
    Date of Patent: June 25, 2024
    Assignee: Drägerwerk AG & Co. KGaA
    Inventors: Lianna Colombo, Philip Collins
  • Patent number: 12014808
    Abstract: A system, method, and a computer program product for generating a clinical summary of a patient using artificial intelligence is provided. A patient data that includes unstructured data and structured data is collected from multiple computing devices. Natural language processing models determine clinical issues from the unstructured data. Active clinical issues are determined from the clinical issues. A knowledge graph generated using a relational language model determines treatments associated with the active clinical issues. Active diagnostic and treatment orders are determined from the structured data. Multiple summaries summarizing the active clinical issues, treatments, active diagnostic orders, and active treatment orders are determined using natural language generation models trained to summarize multiple tasks. The multiple summaries are aggregated into a single summary.
    Type: Grant
    Filed: October 4, 2022
    Date of Patent: June 18, 2024
    Assignee: Pieces Technologies, Inc.
    Inventors: Rubendran Amarasingham, Yukun Chen, Komli-Kofi Atsina, Jr., Sherene Philip, Hong Kang
  • Patent number: 12002583
    Abstract: Systems and methods for automatically determining an assessment of a patient are provided. A patient is automatically interacted with, by a first trained machine learning based model, to acquire initial patient data. One or more risk factors associated with the patient are automatically determined, by a second trained machine learning based model, based on the received initial patient data. The patient is automatically interacted with, by the first trained machine learning based model, to acquire additional patient data based on the one or more determined risk factors. An assessment of the patient is automatically determined, by the second trained machine learning based model, based on the initial patient data and the additional patient data. The assessment of the patient is output.
    Type: Grant
    Filed: December 18, 2020
    Date of Patent: June 4, 2024
    Assignee: Siemens Healthineers AG
    Inventors: Ahmet Tuysuzoglu, Dorin Comaniciu, Tommaso Mansi
  • Patent number: 12001438
    Abstract: Systems and methods are provided for identifying and tracking diverters of controlled medications. A system may receive signals indicative of medication dispensing activities by one or more health care providers such as nurses, physicians, or pharmacists. Based on the received signals, the system may determine suspected diverters and provide a graphical interface identifying corresponding factors related to usage, waste, dosage, or other factors associated with the suspected diverters. The graphical interface may provide a list of top diverters and display dispensing transactions performed at a dispensing device.
    Type: Grant
    Filed: January 15, 2021
    Date of Patent: June 4, 2024
    Assignee: CAREFUSION 303, INC.
    Inventors: Dennis Anthony Tribble, Scott Loebig, Thomas William Utech
  • Patent number: 11996196
    Abstract: In some examples, data associated one or more medical presentations of a person is received. A mapping that associates the data to one or more candidate diagnoses is determined. The one or more candidate diagnoses correspond to one or more possible medical conditions associated with the person. A validation score for a first candidate diagnosis, of the one or more candidate diagnoses, is generated based on a set of features associated with the person. The validation score indicates an accuracy of the candidate diagnosis. At least partially in response to the generating of the validation score, an indicator is caused to be provided at a user device. The indicator indicates the validation score.
    Type: Grant
    Filed: November 30, 2020
    Date of Patent: May 28, 2024
    Assignee: Cerner Innovation, Inc.
    Inventors: Prashant Pagi, Imran Shaikh, Andrew Arun Kumar Boppuri
  • Patent number: 11996201
    Abstract: Systems, apparatuses and methods may provide technology that identifies minority class data and majority class data in patient-level data, wherein the minority class data corresponds to patients with a health failure and the majority class data corresponds to patients without the health failure, oversamples the minority class data to obtain synthetic class data and automatically reduces, via a machine learning classifier, a set of risk factor variables based on the majority class data, the minority class data and the synthetic class data.
    Type: Grant
    Filed: March 4, 2021
    Date of Patent: May 28, 2024
    Inventors: Divine E. Ediebah, Hajime Kusano, Ciaran A. Byrne, Krishnankutty Sudhir, Nick West
  • Patent number: 11923089
    Abstract: A diagnosis supporting system according to embodiments includes a memory that stores medical information including patient information relating to a condition of a patient, and intervention information relating to an intervention for the patient; and processing circuitry that extracts a change point in the medical information, that calculates a first change amount indicating a change in the patient information between before and after the change point, and a second change amount indicating a change in the intervention information between before and after the change point, and that performs display based on the first change amount and the second change amount in a display mode set according to at least one of the first change amount and the second change amount.
    Type: Grant
    Filed: October 5, 2020
    Date of Patent: March 5, 2024
    Inventors: Yudai Yamazaki, Longxun Piao, Yuka Shimomura
  • Patent number: 11908557
    Abstract: Certain embodiments are directed to systems and methods for automatically providing data indicative of one or more characteristics of services that may be recommended to a particular patient, wherein the services are executable at least in part electronically based on data generated and provided by a system for facilitating access to the services. The generated data may be utilized for generating one or more user interfaces providing data regarding derived standard pricing data that is automatically assigned to the referred services and which may be attributable to a patient based at least in part on the patient's usage of the services.
    Type: Grant
    Filed: February 14, 2020
    Date of Patent: February 20, 2024
    Assignee: UnitedHealth Group Incorporated
    Inventors: Sheila Kay Shapiro, Donna McClure
  • Patent number: 11887724
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a clinical recommendation for medical treatment of a patient.
    Type: Grant
    Filed: October 5, 2022
    Date of Patent: January 30, 2024
    Assignee: Neumora Therapeutics, Inc.
    Inventors: Tathagata Banerjee, Matthew Edward Kollada, Amirsina Torfi, Peter Crocker
  • Patent number: 11869667
    Abstract: Computer program products, methods, systems, apparatus, and computing entities are described for identifying significant incidental findings from medical records. In one example embodiment, an example computing device receives a medical report and derives a textual component from the medical report. The computing device then identifies one or more medical findings from the textual component and determines a clinical context for each of the one or more medical findings. The computing device then identifies one or more clinical cues from the one or more medical findings and generates one or more condition signals from the one or more clinical cues. The computing device then generates a condition alert from the one or more condition signals. The condition alert is indicative of a significant incidental finding. Using various embodiments contemplated herein, significant incidental findings can be identified for follow-up by a user.
    Type: Grant
    Filed: November 11, 2021
    Date of Patent: January 9, 2024
    Assignee: Optum, Inc.
    Inventors: Brian C. Potter, Mark L Morsch, Emily V. Ho
  • Patent number: 11862312
    Abstract: Provided are systems, methods, and devices for sleep intervention quality assessment. Methods include receiving measurement data from a plurality of data sources, the measurement data comprising a plurality of measurements of biological parameters of a user before and after a sleep intervention, and receiving treatment data comprising one or more treatment parameters associated with the sleep intervention. Methods further include generating, using one or more processors, a plurality of quality assessment metrics based on the received measurement data, the plurality of quality assessment metrics being generated based, at least in part, on a comparison of the plurality of measurements of biological parameters before and after the sleep intervention, and generating a report based, at least in part, on the plurality of quality assessment metrics.
    Type: Grant
    Filed: August 21, 2020
    Date of Patent: January 2, 2024
    Assignee: STIMSCIENCE INC.
    Inventor: Ram Gurumoorthy
  • Patent number: 11848106
    Abstract: A clinical event outcome scoring system and method are used to determine a Severity of Illness Clinical Key (SICK) score, which is a probable degree of successful outcome for a patient about to undergo a specific clinical event, such as for example, coronary bypass surgery, hip replacement, bariatric surgery, discharge from a hospital for home recovery, a course of chemotherapy, radiation, or other treatment protocol. The system and method analyzes historical patient data to generate a statistical model for each specific clinical event of interest, which can then be used to determine a SICK score for a patient about to undergo the same clinical event. In some embodiments, the statistical model can be “fine-tuned” to render subcategories of statistical models tailored for certain patient populations about to undergo the same clinical event.
    Type: Grant
    Filed: March 29, 2021
    Date of Patent: December 19, 2023
    Inventor: Michael H. Wood
  • Patent number: 11848104
    Abstract: A computer-implemented method includes selecting a group of sets. Each set has values for immutable attributes that match values for at least one mutable attribute in a prediction request. The method includes determining a conditional covariance matrix for the group of sets. The method includes generating a deviation model based on the conditional covariance matrix. The method includes sampling the deviation model to generate multiple sets of likely mutable attribute values. The method includes automatically selecting a neural network from a set of outcome models based on the likely mutable attribute values. Each neural network includes a set of layers. Each layer includes a set of nodes. A first layer receives inputs at the set of nodes of the input layer. Each layer other than the first layer receives outputs from a preceding layer and creates modified outputs. A last layer outputs the modified outputs from the neural network.
    Type: Grant
    Filed: December 2, 2022
    Date of Patent: December 19, 2023
    Assignee: Cigna Intellectual Property, Inc.
    Inventors: Armand E. Prieditis, John E. Paton
  • Patent number: 11835435
    Abstract: Embodiments herein include a method for detecting a health condition of a subject. The method can include obtaining a biological sample from the subject and placing it into a container having a headspace surrounding the biological sample. The method can include contacting a gas from the headspace with a chemical sensor element, the chemical sensor element including one or more discrete graphene varactors. The method can include sensing and storing capacitance of the discrete graphene varactors to obtain a sample data set. Other embodiments are also included herein.
    Type: Grant
    Filed: November 26, 2019
    Date of Patent: December 5, 2023
    Inventors: Gregory J. Sherwood, Justin Theodore Nelson
  • Patent number: 11804303
    Abstract: A respiratory disease analytics system provides respiratory disease risk reports to a patient, provider, or third-party entity describing a patient's risk of experiencing a medication usage event given data in a geographic region. Regional data, including air pollutant conditions, weather conditions, demographic information, built environment factors, and regional health conditions for a geographic region are accessed from other sources and assigned based on event data recorded during a medicament usage event, as collected by sensors associated with the patient's medicament device/s. The regional data is assigned to medicament usage events occurring within a period of time. The assigned regional data is analyzed to determine an expected number of medication usage events for the geographic region occurring over the period of time.
    Type: Grant
    Filed: March 1, 2019
    Date of Patent: October 31, 2023
    Assignee: Reciprocal Labs Corporation
    Inventors: Meredith A. Barrett, Michael J. Tuffli, Michael Lohmeier, Robert Austin Lee, Christopher Hogg, John David Van Sickle, Gregory F. Tracy, Nicholas John Hirons
  • Patent number: 11735300
    Abstract: Methods and devices include identifying a plurality of target users for the digital therapeutic based on one or more target parameters, conducting outreach to one or more of the plurality of target users using an outreach medium, identifying an activation mechanism to optimize use of the digital therapeutic, and encouraging an engagement level of the digital therapeutic by one or more of the plurality of target users.
    Type: Grant
    Filed: November 10, 2022
    Date of Patent: August 22, 2023
    Assignee: Welldoc, Inc.
    Inventors: Anand Iyer, Malinda Peeples, Vinayak Shenoy, Carey Hutchins
  • Patent number: 11721434
    Abstract: Data that is derived from a medical device connected to or communicating with, a patient monitor mount, is detected by the patient monitor mount. The data is monitored for events associated with the medical device. The patient monitor mount then determines that the monitored event corresponds to an event. The patient monitor mount generates at least one command for a visualization device to change the data displayed on the visualization device. The command is then transmitted to the visualization device. Related apparatus, systems, methods and articles are also described.
    Type: Grant
    Filed: November 30, 2015
    Date of Patent: August 8, 2023
    Assignee: DRÄGERWERK AG & CO. KGAA
    Inventors: Michael D. Hirst, Joshua Abell
  • Patent number: 11710564
    Abstract: A suite of fluidless predictive machine learning models includes a fluidless mortality module, smoking propensity model, and prescription fills model. The fluidless machine learning models are trained against a corpus of historical underwriting applications of a sponsoring enterprise, including clinical data of historical applicants. Fluidless models are trained by application of a random forest ensemble including survival, regression, and classification models. The trained models produce high-resolution, individual mortality scores. A fluidless underwriting protocol runs these predictive models to assess mortality risk and other risk attributes of a fluidless application that excludes clinical data to determine whether to present an accelerated underwriting offer.
    Type: Grant
    Filed: May 14, 2020
    Date of Patent: July 25, 2023
    Assignee: Massachusetts Mutual Life Insurance Company
    Inventors: Marc Maier, Shanshan Li, Hayley Carlotto, Indra Kumar
  • Patent number: 11704582
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for using machine learning to generate precision predictions of readiness. In some implementations, a database is accessed to obtain status data that indicates activities or attributes of a subject. A set of feature scores is derived from the status data for the subject, the set of feature scores including values indicative of attributes or activities of the subject. The set of feature scores to one or more models that have been configured to predict readiness of subjects to satisfy one or more readiness criteria. The one or models can be models configured using machine learning training. Based on processing performed using the one or more machine learning models and the set of feature scores, a prediction regarding the subject's ability to achieve readiness to satisfy the one or more readiness criteria is generated.
    Type: Grant
    Filed: October 6, 2021
    Date of Patent: July 18, 2023
    Assignee: VigNet Incorporated
    Inventors: Praduman Jain, Dave Klein, Josh Schilling