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公开(公告)号：US11862346B1
公开(公告)日：2024-01-02
申请号：US16724264
申请日：2019-12-21
申请人： OM1, Inc.
摘要： A classification method and system for medical conditions based on the concept of subtypes, which are classes of patients whose medical fact patterns as analyzed in an N-dimensional space places them closer to other patients belonging to the same subtype than to patients who belong to different subtypes and, who share similar likelihood of certain specified outcomes. A computer system processes patient data for a plurality of patients from a set of patients called a cohort. The computer system processes the patient data for the cohort to group patients into sub-cohorts of similar patients, i.e., each sub-cohort includes patients who have similar medical fact patterns in their patient data. Patients in different sub-cohorts generally, but not necessarily, have significant differences in their patient data. The computer system generates quantitative definitions, describing the patients in the sub-cohorts.
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公开(公告)号：US20240290491A1
公开(公告)日：2024-08-29
申请号：US18596720
申请日：2024-03-06
申请人： OM1, Inc.
IPC分类号： G16H50/20 , G06F16/2458 , G06F18/21 , G06F18/214 , G06N20/00 , G16H50/70
CPC分类号： G16H50/20 , G06F16/2462 , G06F16/2477 , G06F18/2148 , G06F18/217 , G06N20/00 , G16H50/70
摘要： A predictive model can be applied to data representing a history of events for an entity to compute a value indicative of an outcome related to a reference time for that entity. The effect of an event from an entity's history of events on an outcome for the entity at a reference time can vary based on the type of event and relative time of that event with respect to the reference time. The effect of an event from an entity's history of events on an outcome for the entity also can vary due to other characteristics of the entity in combination with the event. These effects are captured as weights. For an entity, functions of sets of events from the history of events are computed for the entity and a set of weights for events. The computed results are inputs to the predictive model.
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公开(公告)号：US11594310B1
公开(公告)日：2023-02-28
申请号：US15465542
申请日：2017-03-21
申请人： OM1, Inc.
发明人： Scott Bradley , Richard Gliklich , Christopher Francois Paul , Constantinos Ioannis Boussios , Charles Kossi Kekeh
摘要： Health care information for multiple patients is processed to classify patients into categories. Additional data fields related to a category in which a patient is classified are added to the patient record. These data fields are populated in part by automatically processing the existing patient data. Such automatic processing can result in a probability that the underlying data supports having a particular value stored in one of the added data fields, and this probability also can be stored. Over time, additional data can be obtained from patients, caregivers and other sources, for structured data fields based on data entry forms for patient reported outcomes, caregiver reported outcomes, events of interest, survival and resource utilization. A set of factor scores is computed for each patient, for each category in which the patient is classified. An outcome score is computed for each patient for each category in which the patient is classified, using an outcome function defined for that category, as a weighted function of one or more of the factor scores. The outcome function for a category is standardized across all patients classified in that category.
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公开(公告)号：US11967428B1
公开(公告)日：2024-04-23
申请号：US16386123
申请日：2019-04-16
申请人： OM1, Inc.
IPC分类号： G16H50/20 , G06F16/2458 , G06F18/21 , G06F18/214 , G06N20/00 , G16H50/70
CPC分类号： G16H50/20 , G06F16/2462 , G06F16/2477 , G06F18/2148 , G06F18/217 , G06N20/00 , G16H50/70
摘要： A predictive model can be applied to data representing a history of events for an entity to compute a value indicative of an outcome related to a reference time for that entity. The effect of an event from an entity's history of events on an outcome for the entity at a reference time can vary based on the type of event and relative time of that event with respect to the reference time. The effect of an event from an entity's history of events on an outcome for the entity also can vary due to other characteristics of the entity in combination with the event. These effects are captured as weights. For an entity, functions of sets of events from the history of events are computed for the entity and a set of weights for events. The computed results are inputs to the predictive model.
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公开(公告)号：US20240096500A1
公开(公告)日：2024-03-21
申请号：US18520664
申请日：2023-11-28
申请人： OM1, Inc.
摘要： A classification method and system for medical conditions based on the concept of subtypes, which are classes of patients whose medical fact patterns as analyzed in an N-dimensional space places them closer to other patients belonging to the same subtype than to patients who belong to different subtypes and, who share similar likelihood of certain specified outcomes. A computer system processes patient data for a plurality of patients from a set of patients called a cohort. The computer system processes the patient data for the cohort to group patients into sub-cohorts of similar patients, i.e., each sub-cohort includes patients who have similar medical fact patterns in their patient data. Patients in different sub-cohorts generally, but not necessarily, have significant differences in their patient data. The computer system generates quantitative definitions, describing the patients in the sub-cohorts.
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公开(公告)号：US20220148695A1
公开(公告)日：2022-05-12
申请号：US17573725
申请日：2022-01-12
申请人： OM1, Inc.
摘要： A health care information system generates information that describes how different inputs to a model affect the output of the model, by creating a localized model for a given entity, and determining how the output of the localized model for the given entity changes in response to different inputs. The computer system builds the localized model for a given entity based on the model and on data values for the given entity. The computer system inputs one or more different data values for selected input features of the localized model, while data values for the remaining input features of the localized model are fixed to data values for the given entity, and obtains corresponding outputs from the localized model. The results from this localized model for the given entity indicate which of the selected input features have the most impact on the output of the model for that entity.
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公开(公告)号：US12057204B2
公开(公告)日：2024-08-06
申请号：US18169363
申请日：2023-02-15
申请人： OM1, Inc.
发明人： Scott Bradley , Richard Gliklich , Christopher Francois Paul , Constantinos Ioannis Boussios , Charles Kossi Kekeh
摘要： Health care information for multiple patients is processed to classify patients into categories. Additional data fields related to a category in which a patient is classified are added to the patient record. These data fields are populated in part by automatically processing the existing patient data. Such automatic processing can result in a probability that the underlying data supports having a particular value stored in one of the added data fields, and this probability also can be stored. Over time, additional data can be obtained from patients, caregivers and other sources, for structured data fields based on data entry forms for patient reported outcomes, caregiver reported outcomes, events of interest, survival and resource utilization. A set of factor scores is computed for each patient, for each category in which the patient is classified. An outcome score is computed for each patient for each category in which the patient is classified, using an outcome function defined for that category, as a weighted function of one or more of the factor scores. The outcome function for a category is standardized across all patients classified in that category.
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公开(公告)号：US20240153647A1
公开(公告)日：2024-05-09
申请号：US18414296
申请日：2024-01-16
申请人： OM1, Inc.
摘要： A classification method and system for medical conditions based on the concept of subtypes, which are classes of patients whose medical fact patterns as analyzed in an N-dimensional space places them closer to other patients belonging to the same subtype than to patients who belong to different subtypes and, who share similar likelihood of certain specified outcomes. A computer system processes patient data for a plurality of patients from a set of patients called a cohort. The computer system processes the patient data for the cohort to group patients into sub-cohorts of similar patients, i.e., each sub-cohort includes patients who have similar medical fact patterns in their patient data. Patients in different sub-cohorts generally, but not necessarily, have significant differences in their patient data. The computer system generates quantitative definitions, describing the patients in the sub-cohorts.
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公开(公告)号：US20230197223A1
公开(公告)日：2023-06-22
申请号：US18169363
申请日：2023-02-15
申请人： OM1, Inc.
发明人： Scott Bradley , Richard Gliklich , Christopher Francois Paul , Constantinos Ioannis Boussios , Charles Kossi Kekeh
摘要： Health care information for multiple patients is processed to classify patients into categories. Additional data fields related to a category in which a patient is classified are added to the patient record. These data fields are populated in part by automatically processing the existing patient data. Such automatic processing can result in a probability that the underlying data supports having a particular value stored in one of the added data fields, and this probability also can be stored. Over time, additional data can be obtained from patients, caregivers and other sources, for structured data fields based on data entry forms for patient reported outcomes, caregiver reported outcomes, events of interest, survival and resource utilization. A set of factor scores is computed for each patient, for each category in which the patient is classified. An outcome score is computed for each patient for each category in which the patient is classified, using an outcome function defined for that category, as a weighted function of one or more of the factor scores. The outcome function for a category is standardized across all patients classified in that category.
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公开(公告)号：US11257574B1
公开(公告)日：2022-02-22
申请号：US15927766
申请日：2018-03-21
申请人： OM1, Inc.
摘要： A health care information system generates information that describes how different inputs to a model affect the output of the model, by creating a localized model for a given entity, and determining how the output of the localized model for the given entity changes in response to different inputs. The computer system builds the localized model for a given entity based on the model and on data values for the given entity. The computer system inputs one or more different data values for selected input features of the localized model, while data values for the remaining input features of the localized model are fixed to data values for the given entity, and obtains corresponding outputs from the localized model. The results from this localized model for the given entity indicate which of the selected input features have the most impact on the output of the model for that entity.
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