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Medical record problem list generation

A question-category technique used in the field of automatically generating medical records question lists to address issues such as inaccurate measurements of clinical usefulness

Pending Publication Date: 2020-01-03
INT BUSINESS MASCH CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, such methods may suffer from inaccurate measurements and / or limited clinical usefulness

Method used

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  • Medical record problem list generation
  • Medical record problem list generation
  • Medical record problem list generation

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Embodiment Construction

[0022] Various embodiments of the invention are described herein with reference to the associated drawings. Alternative embodiments of the invention may be devised without departing from the scope of the invention. Various connections and positional relationships (eg, above, below, adjacent, etc.) are set forth between elements in the following description and drawings. Unless otherwise indicated, such connections and / or positional relationships may be direct or indirect, and the invention is not intended to be limited in this respect. Accordingly, the coupling of entities may refer to direct or indirect coupling, and the positional relationship between entities may be a direct or indirect positional relationship. Furthermore, the various tasks and process steps described herein may be incorporated into a more comprehensive procedure or process having additional steps or functionality not described in detail herein.

[0023] The following definitions and abbreviations are us...

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Abstract

Embodiments of the invention include methods, systems, and computer program products for generating a medical problem list. A non-limiting example of the method includes receiving, by a processor, a plurality of disease categories. A disease category set that includes a plurality of top level disease categories is defined using the processor, wherein the disease category set is based at least in part upon the plurality of disease categories. The processor is used to extract a plurality of candidate training problems from an electronic patient record training set. The processor is used to assign each of the candidate training problems to the plurality of top level disease categories. The processor is used to generate a disease category model for each of the top level disease categories fromthe electronic patient record training set using a machine learning technique.

Description

Background technique [0001] The present invention relates generally to medical records, and more particularly to automatically generating a list of medical record questions from electronic medical records. [0002] Current technology has greatly expanded the type and amount of patient information that can be collected in conjunction with medical care. Electronic medical records (EMRs) stored in electronic health record (EHR) systems include patient data from multiple sources, for various purposes, and in various formats. Longitudinal patient records, or EMRs, stored in EHR systems can include hundreds of clinical notes and thousands of semi-structured data entries in addition to structured data entries. Such clinical records may include not only information intended for patient care, but also information entered for other purposes, such as billing or legal purposes. Thus, while collecting more patient information is beneficial to patient care, the volume of data collected ma...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H10/60G16H40/67G16H50/20G16H50/30G16H50/50G06N3/04G06N5/00G06N20/00
CPCG16H40/67G16H50/30G16H50/20G16H50/50G16H10/60G06N20/00G06N5/01G06N3/045
Inventor M.德瓦拉科恩达S.梅萨乌德邹庆晖
Owner INT BUSINESS MASCH CORP
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