System for estimating state of critically ill patient in obstetrical department

Abstract

The invention discloses a system for estimating the state of a critically ill patient in an obstetrical department, which comprises an input end, an output end and a data processing module. Firstly, measured heart rate, blood pressure, body temperature, breathing rate, pH, blood HCO-3 concentration, oxygen partial pressure, alveolar arterial blood oxygen tension difference, potassium ion concentration, hematokrit, white cell count, platelet count, fibrinogen, glutamic-oxaloacetic transaminase, albumin, bilirubin, creatinine, blood glucose concentration and nervous system grading data are input the system through the input end; the data processing module evaluates a death risk factor; and at last, the output end directly reflects the result of the patient and the expert suggestion. The invention can not only accurately evaluate the critical degree of the state of the patient and predict the death risk, but also can provide quantitative indexes for changing to a three-class hospital, and is beneficial to improve the treatment level of the critical state of the obstetrical department and lower the death rate of pregnant and lying-in women and perinatal infants.

Description

technical field [0001] The invention belongs to the field of medicine and information intelligence, and specifically relates to a method for quantitatively evaluating the severity and prognosis of obstetric critically ill patients by computer and then providing clinical treatment suggestions. Background technique [0002] Maternal mortality is an important indicator for evaluating the economic and cultural development of a country and region. The successful treatment of critically ill obstetric patients is the key to reducing maternal mortality. The correct assessment of the severity and prognosis of critically ill obstetric patients is conducive to guiding clinical obstetrics. Doctors treat such patients appropriately, such as providing clinical obstetricians with information on whether such critically ill patients can continue to conceive, whether they can tolerate vaginal delivery or surgery, whether they need further life support, and the risk of death, etc. However, the...

AI Technical Summary

Problems solved by technology

However, there is no disease severity and evaluation system for critically ill obstetric patients at home and abroad.

At present, clinical obstetricians can only analyze and judge the severity of the disease based on the symptoms, signs and scattered laboratory indicators of critically ill obstetric patients, so there are subjectivity, partiality, and localization; None of them can effectively assess the severity and prognosis of obstetric critically ill patients, because pregnant women are a special group, and a series of physiological changes

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