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公开(公告)号：US20230360745A1
公开(公告)日：2023-11-09
申请号：US18223082
申请日：2023-07-18
Applicant: Merative US L.P.
IPC: G16H10/00 , G06F40/205 , G16H70/00 , G06F40/174 , G06F40/55 , G06F40/247
CPC classification number: G16H10/00 , G06F40/205 , G16H70/00 , G06F40/174 , G06F40/55 , G06F40/247
Abstract: A system and related method exchange medical information with a medical management system. The method comprises receiving, using a processor of a code point resolver, from the medical management system, medical text via a network interface. A code point is a single standardized medical terminology code (SMTC) that corresponds to a medical concept contained within the medical text. The method further applies rule-based logic to process the medical text to form a localized mapping of a text portion of the medical text to a plurality of candidate SMTCs (CSMTCs) that are related to at least one metathesaurus concept entity (MCE) in a metathesaurus, and to determines the code point from the CSMTCs. The method transmits, via the network interface, to the medical management system, the code point.
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公开(公告)号：US11763081B2
公开(公告)日：2023-09-19
申请号：US17061628
申请日：2020-10-02
Applicant: Merative US L.P.
Inventor： Tanveer Syeda-Mahmood
IPC: G06F40/284 , G16H30/20 , G16H30/40 , G16H70/20 , G16H70/60 , G06F40/247 , G16H50/20 , G06F16/2455 , G06F40/205 , G06F40/289 , G16H50/70
CPC classification number: G06F40/284 , G06F16/24558 , G06F40/205 , G06F40/247 , G06F40/289 , G16H30/20 , G16H30/40 , G16H50/20 , G16H50/70 , G16H70/20 , G16H70/60
Abstract: Mechanisms are provided to implement a fine-grained finding descriptor generation computing tool that automatically generates fine-grained labels for downstream computer system operations. The mechanisms process medical report content based on a core finding lexicon, to extract core finding instances from the medical report content. The mechanisms execute, for each core finding instance, automated computer NLP operations that generate a parse tree for the portion of the medical report content corresponding to the core finding instance, perform phrasal grouping on the parse tree to thereby associate one or more modifiers of core findings specified in the portion of the medical report content with the core finding instance, and generate a fine-grained finding descriptor data structure for the core finding instance based on the association of one or more modifiers of the core finding with the core finding instance.
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公开(公告)号：US11749387B2
公开(公告)日：2023-09-05
申请号：US17350441
申请日：2021-06-17
Applicant: Merative US L.P.
Inventor： Tanveer F. Syeda-Mahmood , Chaitanya Shivade
Abstract: Mechanisms are provided to implement a patient summary generation engine with deduplication of instances of medical concepts. The patient summary generation engine parses a patient electronic medical record (EMR) to extract a plurality of instances of a medical concept, at least two of which utilize different representations of the medical concept. The patient summary generation engine performs a similarity analysis between each of the instances of a medical concept to thereby calculate, for a plurality of combinations of instances of the medical concept, a similarity metric value. The patient summary generation engine clusters the instances of the medical concept based on the calculated similarity metric values for each combination of instances in the plurality of combinations of instances of the medical concept to thereby generate one or more clusters, and select a representative instance of the medical concept from each cluster in the one or more clusters. The patient summary generation engine generates a summary output of the patient EMR comprising the selected representative instances of the medical concept from each cluster.
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公开(公告)号：US11749384B2
公开(公告)日：2023-09-05
申请号：US17161828
申请日：2021-01-29
Applicant: Merative US L.P.
IPC: G16H10/00 , G06F40/205 , G16H70/00 , G06F40/174 , G06F40/55 , G06F40/247
CPC classification number: G16H10/00 , G06F40/174 , G06F40/205 , G06F40/247 , G06F40/55 , G16H70/00
Abstract: A system and related method exchange medical information with a medical management system. The method comprises receiving, using a processor of a code point resolver, from the medical management system, medical text via a network interface. A code point is a single standardized medical terminology code (SMTC) that corresponds to a medical concept contained within the medical text. The method further applies rule-based logic to process the medical text to form a localized mapping of a text portion of the medical text to a plurality of candidate SMTCs (CSMTCs) that are related to at least one metathesaurus concept entity (MCE) in a metathesaurus, and to determines the code point from the CSMTCs. The method transmits, via the network interface, to the medical management system, the code point.
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公开(公告)号：US11721441B2
公开(公告)日：2023-08-08
申请号：US16248084
申请日：2019-01-15
Applicant: Merative US L.P.
Inventor： Cheryl L. Eifert , Jia Xu , Claudia S Huettner , Fang Wang , Vanessa Michelini , Elinor Dehan
Abstract: Computer based methods, systems, and computer readable media for intelligently accessing various types of pharmaceutical information in a content repository and ranking drugs at the variant level, gene level, and pathway level. In some cases, drugs that target the same gene, gene variant, or biological pathway may be ranked based upon in vitro, pre-clinical, clinical, or post-clinical evidence. To determine ranking of a plurality of drugs, information pertaining to drug administration is analyzed for the drugs. For a plurality of drugs, attributes corresponding to the drug are determined, wherein the attributes include a variant or a gene targeted by the drug, and a biological pathway comprising the targeted variant or gene. The plurality of drugs are ranked according to a drug effectiveness score based on one or more of a determined efficacy, potency, or toxicity.
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Patent Agency Ranking
公开(公告)号：US11699508B2
公开(公告)日：2023-07-11
申请号：US16700137
申请日：2019-12-02
Applicant: MERATIVE US L.P.
Inventor： Marina Bendersky , Tanveer Fathima Syeda-Mahmood , Joy Tzung-yu Wu
CPC classification number: G16H15/00 , G06F18/2431 , G06N5/04 , G06N20/00 , G06V10/75 , G16H30/40 , G16H50/70 , G16H70/00
Abstract: Systems and methods for developing a classification model for classifying medical reports, such as radiology reports. One method includes selecting, from a corpus of reports, a training set and a testing set, assigning labels of a modality and an anatomical focus to the reports in both sets, and extracting a sparse representation matrix for each set based on features in the training set. The method also includes learning, with one or more electronic processors, a correlation between the features of the training set and the corresponding labels using a machine learning classifier, thereby building a classification model and testing the classification model on the reports in the testing set for accuracy using the sparse representation matrix of the testing set. The method further includes predicting, with the classification model, labels of an anatomical focus and a modality for remaining reports in the corpus not included in the sets.
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公开(公告)号：US20230215519A1
公开(公告)日：2023-07-06
申请号：US17569467
申请日：2022-01-05
Applicant: MERATIVE US L.P.
Inventor： Tin Kam Ho
Abstract: Methods and systems of determining relevancy of electronic health records to medical analysis objectives. One system includes an electronic processor configured to access electronic health records and extract medical summary data items from the records. The electronic processor is also configured to determine a set of semantic vectors, where each semantic vector represents a medical summary data item. The electronic processor is also configured to determine a set of anatomical semantic vectors. The electronic processor is also configured to determine a similarity score for each medical summary data item. The electronic processor is also configured to receive a medical study and determine a relevancy score for each medical summary data item, the relevancy score representing a relevancy of each medical summary data item to the medical study. The electronic processor is also configured to generate and transmit a notification to a reviewer of the medical study.
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公开(公告)号：US20230206437A1
公开(公告)日：2023-06-29
申请号：US18170789
申请日：2023-02-17
Applicant: MERATIVE US L.P.
Inventor： Hans Harald Zachmann , Simona Rabinovici-Cohen , Shaked Brody
CPC classification number: G06T7/0012 , G06F9/45558 , G06N5/04 , G06F2009/4557 , G06F2009/45575 , G06F2009/45583 , G06T2207/20081
Abstract: Methods and systems for processing medical images. One method includes, in response to startup of an application using an algorithm, creating a server process supporting a programming language associated with the algorithm and loading a plurality of deep learning models used by the algorithm into a memory of the server process to create in-memory models. The method also includes processing a first set of one or more medical images with the server process using the algorithm and at least one model selected from the in-memory models, maintaining the in-memory models in the memory of the server process after processing the first set of one or more medical images, and, in response to a request to process a second set of one or more medical images, processing the second set of one or more medical images using the algorithm and at least one of the in-memory models.
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公开(公告)号：US20230186473A1
公开(公告)日：2023-06-15
申请号：US17948311
申请日：2022-09-20
Applicant: MERATIVE US L.P.
Inventor： Mark D. Bronkalla , James Boritz , John Hansen
CPC classification number: G06T7/0014 , G16H30/20
Abstract: Systems and methods for selecting a prior comparison study. One system includes an electronic processor configured to, for a medical image study associated with a patient, select a prior comparison image study. The electronic processor is also configured to automatically determine, based on monitored user interaction with the selected prior comparison image study, a usefulness of the selected prior comparison image study. The electronic processor is also configured to automatically update a selection model based on the usefulness of the prior comparison image study to a user.
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50.发明授权公开(公告)号：US12062456B2
公开(公告)日：2024-08-13
申请号：US17332356
申请日：2021-05-27
Applicant: Merative US L.P.
Inventor： Vishrawas Gopalakrishnan , Ajay Ashok Deshpande , Sayali Navalekar , James H. Kaufman , Simone Bianco , Kun Hu , Xuan Liu , Jacob Ora Miller , Raman Srinivasan , Pan Ding
Abstract: Mechanisms are provided to hypothetical scenario evaluations with regard to infectious disease dynamics based on similar regions. A user definition of a hypothetical scenario for a target region is received which specifies scenario features affecting an infectious disease spread amongst a population within the target region. Other predefined regions, in the set of predefined regions, having similar region characteristics to the target region are identified and attributes of the other predefined regions corresponding to the scenario features are identified. Modified model parameter(s) for an infectious disease computer model are derived based on the identified attributes. An instance of the infectious disease computer model is configured with the modified model parameter(s) and the instance is executed on case report data for the target region to generate a prediction for an infectious disease spread in the target region according to the hypothetical scenario, which is then output.
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