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公开(公告)号：US11048874B2
公开(公告)日：2021-06-29
申请号：US14988312
申请日：2016-01-05
IPC分类号： G16H10/60 , G06F40/279 , G16H50/20
摘要： Embodiments provide a system and method for medical record error detection. Using a cognitive system having natural language processing capabilities, the error detection system can analyze a corpus of medical records, which can correspond to a particular patient, as well as a new medical record, and parse each into one or more record elements. By comparing the record elements, the error detection system can detect one or more potential errors resulting from a record element in the new medical record being inconsistent or contradictory with the record elements in the prior medical records, or ambiguous. The error detection system can output a list of candidate answers for correcting the one or more potential errors based upon a cognitive analysis of the corpus of medical records. The error detection system can further output a list of suggested therapies based on the selection of one or more of the candidate answers.
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公开(公告)号：US20190147055A1
公开(公告)日：2019-05-16
申请号：US15811225
申请日：2017-11-13
摘要： Provided are a computer program product, system, and method for determining user interactions with natural language processor (NLP) items in documents to determine priorities to present NLP items in documents to review. Information is received on user interactions with natural language processing (NLP) items in documents presented at least one computing device. Indication is made in a database of user interaction information on the user interactions with the NLP items indicated in the received transmitted information. The user interaction information in the database providing interaction information for NLP items in the selected document is used to determine an order of the NLP items in the selected document. Content of the NLP items in the selected document is transmitted to present to a reviewing user at a reviewing computing device in the determined order.
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公开(公告)号：US20180203922A1
公开(公告)日：2018-07-19
申请号：US15408535
申请日：2017-01-18
IPC分类号： G06F17/30
CPC分类号： G06F16/3334 , G06F17/2785
摘要： Unstructured data are processed in response to a request for information to derive attributes. The attributes include a subset of variables utilized to determine the requested information. The attributes are ranked based on a set of relevance factors for determining the requested information. One or more attributes are selected for presentation to a user based on the ranking to receive modifications and produce modified attributes. The requested information is determined based on the set of variables including the modified attributes.
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公开(公告)号：US10592502B2
公开(公告)日：2020-03-17
申请号：US15333793
申请日：2016-10-25
IPC分类号： G06F16/242 , G06F17/21
摘要： Natural language processing includes processing unstructured data in response to a request for a conclusion to a line of inquiry to produce structured information that conforms to a computer readable information schema. Values obtained from the unstructured data are assigned to attributes of the structured information and determining a candidate conclusion to the line of inquiry based on the value-assigned attributes. A confidence score is computed that is indicative of a sufficiency of the candidate conclusion as the conclusion to the line of inquiry. One or more of the attributes are displayed to a user for modification responsive to the confidence score of the corresponding conclusion failing to meet a confidence criterion. The displayed attributes are ranked by relevance of the attribute to the corresponding conclusion. The conclusion to the line of inquiry is determined based on the modified values of the user-selected attributes.
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公开(公告)号：US20190243825A1
公开(公告)日：2019-08-08
申请号：US16390331
申请日：2019-04-22
IPC分类号： G06F16/242
CPC分类号： G06F16/243 , G06F17/21
摘要： Natural language processing includes processing unstructured data in response to a request for a conclusion to a line of inquiry to produce structured information that conforms to a computer readable information schema. Values obtained from the unstructured data are assigned to attributes of the structured information and determining a candidate conclusion to the line of inquiry based on the value-assigned attributes. A confidence score is computed that is indicative of a sufficiency of the candidate conclusion as the conclusion to the line of inquiry. One or more of the attributes are displayed to a user for modification responsive to the confidence score of the corresponding conclusion failing to meet a confidence criterion. The displayed attributes are ranked by relevance of the attribute to the corresponding conclusion. The conclusion to the line of inquiry is determined based on the modified values of the user-selected attributes.
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公开(公告)号：US20170193174A1
公开(公告)日：2017-07-06
申请号：US14988312
申请日：2016-01-05
CPC分类号： G06F17/2765 , G16H10/60 , G16H50/20
摘要： Embodiments provide a system and method for medical record error detection. Using a cognitive system having natural language processing capabilities, the error detection system can analyze a corpus of medical records, which can correspond to a particular patient, as well as a new medical record, and parse each into one or more record elements. By comparing the record elements, the error detection system can detect one or more potential errors resulting from a record element in the new medical record being inconsistent or contradictory with the record elements in the prior medical records, or ambiguous. The error detection system can output a list of candidate answers for correcting the one or more potential errors based upon a cognitive analysis of the corpus of medical records. The error detection system can further output a list of suggested therapies based on the selection of one or more of the candidate answers.
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公开(公告)号：US20230376521A1
公开(公告)日：2023-11-23
申请号：US18364414
申请日：2023-08-02
IPC分类号： G06F16/435 , G16H10/60 , G06F16/93 , G06F40/10 , G06F40/284
CPC分类号： G06F16/435 , G16H10/60 , G06F16/93 , G06F40/10 , G06F40/284 , G06F16/182
摘要： Provided are a computer program product, system, and method for prioritizing items in a document to present to a user computing device. A natural language processor (NLP) is used to determine NLP items in a selected document to present to a reviewing user. The NLP items in the selected document have content to review to correct for errors. A determination is made of an attribute value for the selected document. A determination is made of user interactions with the NLP items in the selected document having the determined attribute value. An order is determined to present the NLP items in the selected document to present to the reviewing user to correct based on the determined user interactions. The selected document, with the determined NLP items presented in the determined order for the reviewing user to review and correct, is transmitted to a computing device of the reviewing user.
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公开(公告)号：US11782967B2
公开(公告)日：2023-10-10
申请号：US15811225
申请日：2017-11-13
IPC分类号： G06F16/435 , G06F16/93 , G06F16/182 , G16H10/60 , G06F40/10 , G06F40/284
CPC分类号： G06F16/435 , G06F16/93 , G06F40/10 , G06F40/284 , G16H10/60 , G06F16/182
摘要： Provided are a computer program product, system, and method for determining user interactions with natural language processor (NLP) items in documents to determine priorities to present NLP items in documents to review. Information is received on user interactions with natural language processing (NLP) items in documents presented at least one computing device. Indication is made in a database of user interaction information on the user interactions with the NLP items indicated in the received transmitted information. The user interaction information in the database providing interaction information for NLP items in the selected document is used to determine an order of the NLP items in the selected document. Content of the NLP items in the selected document is transmitted to present to a reviewing user at a reviewing computing device in the determined order.
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公开(公告)号：US11087235B2
公开(公告)日：2021-08-10
申请号：US15225880
申请日：2016-08-02
摘要： A system rapidly produces training cases for machine based learning by automatically creating training cases from a database of historical data. The system determines a plurality of attributes relevant to each of the training cases. The system identifies a first attribute of the plurality of attributes as an issue, and a second attribute of the plurality attributes as a response to the issue. The system identifies a plurality of cohort members from the database of historical data, where each cohort member comprises cohort member attributes that match a subset of the plurality of attributes. The system analyzes the cohort member attributes of each of the plurality of cohort members to identify the most frequent responses to the issue. The system creates the training cases where each training case comprises the issue and the most frequent responses. The system then trains a machine based learning system using the training cases.
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公开(公告)号：US10915562B2
公开(公告)日：2021-02-09
申请号：US15408535
申请日：2017-01-18
摘要： Unstructured data are processed in response to a request for information to derive attributes. The attributes include a subset of variables utilized to determine the requested information. The attributes are ranked based on a set of relevance factors for determining the requested information. One or more attributes are selected for presentation to a user based on the ranking to receive modifications and produce modified attributes. The requested information is determined based on the set of variables including the modified attributes.
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