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Big data-based patient grouping method and device

A grouping method and big data technology, applied in the field of patient grouping methods and devices based on big data, can solve the problem of insufficient accuracy of patient grouping, achieve accurate patient grouping results, prevent over-fitting, and improve accuracy and efficiency Effect

Active Publication Date: 2019-05-28
PING AN MEDICAL & HEALTHCARE MANAGEMENT CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0003] In view of this, the embodiment of the present invention provides a patient grouping method and device based on big data to solve the current problem that the accuracy of patient grouping is not high enough

Method used

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  • Big data-based patient grouping method and device

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Embodiment Construction

[0034] In order to better understand the technical solutions of the present invention, the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0035] It should be clear that the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0036] Terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. As used in the embodiments of the present invention and the appended claims, the singular forms "a", "said" and "the" are also intended to include the plural forms unless the context clearly indicates otherwise.

[0037] It should be understood that the term "an...

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Abstract

The invention discloses a big data-based patient grouping method and a big data-based patient grouping device. The big data-based patient grouping method comprises the following steps: at least two target patient characteristics are extracted from a medical record home page; the similarity measurement learning is carried out on the at least two target patient characteristics to obtain corresponding measurement matrixes; the diagnosis-related grouping is carried out on the medical record home page based on the corresponding metric matrix to obtain a patient grouping result. By adopting the patient grouping method based on the big data, the accuracy of patient grouping can be improved.

Description

【Technical field】 [0001] The invention relates to the field of big data processing, in particular to a method and device for grouping patients based on big data. 【Background technique】 [0002] The basic goal of DRGs (Diagnosis Related Groups) is to group patients based on the diagnostic, operational, and other characteristics of a case. The currently commonly used grouping methods use existing grouping rules, such as Major Diagnostic Category (MDC), Major Complications and Comorbidities (Major Complication and Comorbidity, MCC), etc. for grouping. The grouping rules of this type of method are based on existing knowledge and are easy to understand and explain, but there is still the problem of low grouping accuracy. 【Content of invention】 [0003] In view of this, the embodiment of the present invention provides a patient grouping method and device based on big data, to solve the current problem that the accuracy of patient grouping is not high enough. [0004] In the fi...

Claims

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Application Information

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IPC IPC(8): G16H50/70G16H10/60
CPCY02A90/10
Inventor 李濠辰
Owner PING AN MEDICAL & HEALTHCARE MANAGEMENT CO LTD
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