Sepsis early-warning method and system based on medical data, and storage medium

Abstract

The invention provides a sepsis early-warning method and system based on medical data, and a computer storage medium. The sepsis early-warning method based on medical data includes the steps: obtaining original medical diagnosis and treatment data; combing the original medical diagnosis and treatment data by using a standard data template, automatically extracting the data matching the standard data template in the original medical diagnosis and treatment data to obtain standard medical diagnosis and treatment data, extracting standard diagnosis and treatment data related to sepsis in real time from the standard medical diagnosis and treatment data according to predetermined rules, and obtaining first medical index data through calculation; determining whether the first medical index datais within an abnormal range according to the first medical index data and the first preset reference index; and when the first medical index data is in the abnormal range, sending the first early-warning information. According to the sepsis early-warning method and system based on medical data, and the computer storage medium, standardized medical data is provided to ensure the authenticity and traceability of medical data, and to realize the process supervision of the clinical diagnosis and treatment path of sepsis.

Description

technical field [0001] This application relates to the technical field of data processing, in particular to a method and system for processing medical data. Background technique [0002] Sepsis is a common and life-threatening disease in the intensive care department. Because of its high morbidity and mortality, sepsis has been widely concerned by the international community. Sepsis, especially patients with septic shock, progresses very rapidly. The critical treatment window from onset to death is very short, and the treatment costs and social burden caused by illness and disability are significantly increased. Although critical care workers have been working hard to improve the diagnosis and treatment of sepsis by improving the quality of medical care, the early symptoms of patients are relatively hidden and the understanding of sepsis in various disciplines is uneven, resulting in the scattered diagnosis and treatment in emergency departments. Diagnosis and intervention ...

AI Technical Summary

Problems solved by technology

Although critical care workers have been working hard to improve the diagnosis and treatment of sepsis by improving the quality of medical care, the early symptoms of patients are relatively hidden and the understanding of sepsis in various disciplines is uneven, resulting in the scattered diagnosis and treatment in emergency departments. Diagnosis and intervention of sepsis patients in different clinical departments are significantly delayed, which seriously affects the prognosis of patients, which also causes problems in clinical critical care quality supervision, clinical auxiliary diagnosis and treatment, health economic analysis, public health policy evaluation and analysis, etc.

[0003] In terms of quality supervision, because the current medical institutions in our country still focus on the final quality evaluation and feedback of patients discharged from the hospital, there is a serious lack of quality control involving all aspects of the entire process of medical treatment, which results in a lack of accumulation and summary that is conducive to improving clinical treatment. Quality experience, so that it is impossible to analyze the reasons for the low medical quality and other disadvantages from the system level

In terms of clinical auxiliary diagnosis and treatment, there is currently a serious lack of large-scale standardized, structured, and systematic clinical database support in clinical practice, due to non-standard and inconsistent professional terms for disease descriptions; unstructured medical imaging data; self-contained medical institution information Due to the construction of modernization and the formation of isolated information islands and other reasons, clinical auxiliary diagnosis and treatment cannot really play a role

[0004] Therefore, there is a flaw in the prior art that the program cannot be dynamically tampered with, which may cause security issues such as theft of user privacy and remote control.

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