公开(公告)号：US20250103820A1

公开(公告)日：2025-03-27

申请号：US18973882

申请日：2024-12-09

Applicant: Solventum Intellectual Properties Company

Inventor： Thomas S. Polzin ,  Hua Cheng ,  Detlef Koll

IPC: G06F40/30 ,  G06F16/35 ,  G06F40/166

Abstract: A computer system and method identifies topics in conversations, such as a conversation between a doctor and patient during a medical examination. The system and method generates, based on first text (such as a document corpus including previous clinical documentation), a plurality of sentence embeddings representing a plurality of semantic representations in a plurality of sentences in the training text. The system and method generate a classifier based on the second text, which includes a plurality of sections associated with a plurality of topics, and the plurality of sentence embeddings. The system and method generate, based on a sentence (such as a sentence in a doctor-patient conversation) and the classifier, an identifier of a topic to associate with the first sentence. The system and method may also insert the sentence into a section, associated with the identified topic, in a document (such as a clinical note).

公开(公告)号：US12197870B2

公开(公告)日：2025-01-14

申请号：US17906768

申请日：2021-03-18

Applicant: Solventum Intellectual Properties Company

Inventor： Thomas S. Polzin ,  Hua Cheng ,  Detlef Koll

IPC: G06F40/279 ,  G06F16/35 ,  G06F40/166 ,  G06F40/30

Abstract: A computer system and method identifies topics in conversations, such as a conversation between a doctor and patient during a medical examination. The system and method generates, based on first text (such as a document corpus including previous clinical documentation), a plurality of sentence embeddings representing a plurality of semantic representations in a plurality of sentences in the training text. The system and method generate a classifier based on the second text, which includes a plurality of sections associated with a plurality of topics, and the plurality of sentence embeddings. The system and method generate, based on a sentence (such as a sentence in a doctor-patient conversation) and the classifier, an identifier of a topic to associate with the first sentence. The system and method may also insert the sentence into a section, associated with the identified topic, in a document (such as a clinical note).

公开(公告)号：US12229504B2

公开(公告)日：2025-02-18

申请号：US17053224

申请日：2019-05-07

Applicant: Solventum Intellectual Properties Company

Inventor： Brian A. Ellenberger ,  Thomas S. Polzin ,  Rajasekharan Devarajan

IPC: G06F40/35 ,  G06F40/20 ,  G10L15/183 ,  G10L15/22

Abstract: A computer system performs live natural language processing (NLP) on data sources that are complex, remotely stored, and/or large, while satisfying restrictive time constraints. The computer system divides the NLP process into a batch NLP process and a live NLP process. The batch NLP process operates asynchronously over the relevant data set, which may be complex, remotely stored, and/or large, to summarize information into a summarized NLP data model. When the live NLP process is initiated, live NLP process receives as input the relevant information from the summarized NLP data model, possibly along with other data. The prior generation of the summarized NLP data model by the batch NLP process enables the live NLP process to perform NLP within time constraints that could not have been satisfied if the batch NLP process had not pre-processed the data set to produce the summarized NLP data model.