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公开(公告)号：US20230162823A1
公开(公告)日：2023-05-25
申请号：US17455924
申请日：2021-11-22
Applicant: Merative US L.P.
Inventor： Paul R. Bastide , Robert E. Loredo , Matthew E. Broomhall , Fang Lu
IPC: G16H10/60
CPC classification number: G16H10/60
Abstract: A method, a computer program product, and a computer system retroactively update a record with a new code. The method includes determining the new code that is introduced into a medical coding system. The method includes determining a first patient having a first patient record including the new code. The method includes determining a correlation between the new code and an existing code. The existing code was available prior to the new code being introduced. The method includes determining a second patient having a second patient record including the existing code. The method includes determining whether the second patient is a candidate to have the second patient record retroactively updated with the new code based on a similarity analysis with the first patient. As a result of the second patient being confirmed the candidate, the method includes updating the second patient record with the new code.
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公开(公告)号：US20230154612A1
公开(公告)日：2023-05-18
申请号：US17530435
申请日：2021-11-18
Applicant: MERATIVE US L.P.
Inventor： Dustin Michael Sargent , Michael Trambert , Lenward E. Holness, JR. , Dale Seegmiller Maudlin , Sun Young Park
Abstract: A method and system is provided for radiology peer review feedback and learning using artificial intelligence. The system includes an electronic processor configured to: receive a set of medical imaging exams with reading physician data and at least one peer review score, train a machine learning algorithm to predict a review score from the medical imaging exam and reading physician data, use the trained machine learning algorithm to represent the medical imaging exam and the reading physician data, store a history of medical imaging exams for a reading physician, receive newly-reviewed medical imaging exam data for the reading physician having a feature vector, find similar medical imaging exams in the history of the medical imaging exams by comparing the feature vector of the newly-reviewed medical imaging exam data with the feature vectors for the medical imaging exams for the reading physician, and provide common review feedback to the reading physician.
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公开(公告)号：US20230154592A1
公开(公告)日：2023-05-18
申请号：US17530434
申请日：2021-11-18
Applicant: MERATIVE US L.P.
Inventor： Dustin Michael Sargent , Michael Trambert , Lenward E. Holness, JR. , Dale Seegmiller Maudlin , Sun Young Park
Abstract: A method and system is provided for optimizing radiology peer review exam selection using artificial intelligence. The system includes an electronic processor configured to: receive a set of candidate medical imaging exams with reading physician data, assign the medical imaging exams to at least one peer reviewer, receive peer reviewer data including scores and/or text for the assigned medical imaging exams, update a machine learning algorithm to optimize the assignment of medical imaging exams to the at least one peer reviewer using the received peer reviewer data.
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公开(公告)号：US11610687B2
公开(公告)日：2023-03-21
申请号：US15257790
申请日：2016-09-06
Applicant: Merative US L.P.
Inventor： Mark Bronkalla
Abstract: Automated peer review of medical imagery is provided. In some embodiments, at least one finding is determined for a present study. The present study has a subject anatomy. Based on the at least one finding and the subject anatomy, at least one prior study is selected. The at least one prior study has subject anatomy related to the subject anatomy of the present study and does not include the at least one finding. The at least one prior study is provided to a user for review with respect to the at least one finding.
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