Obstetric operation resource allocation prediction system

A prediction system and resource allocation technology, applied in the field of biomedicine, can solve problems such as non-significant impact and inability to effectively predict massive postpartum hemorrhage in pregnant and lying-in women, to ensure objectivity and accuracy, scientific and accurate prediction and evaluation, reasonable The effect of medical resources

Active Publication Date: 2019-12-03
THE FIRST AFFILIATED HOSPITAL OF ARMY MEDICAL UNIV
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the inventors found that the above risk factors did not have a significant impact on severe postpartum hemorrhage in pregnant women with placenta previa after statistical analysis of relevant clinical indicators and ultrasound information of a large number of cases
Therefore, the above-mentioned risk scoring system has defects in selecting predictive parameters, and the system cannot effectively predict whether pregnant women with placenta previa will experience massive postpartum hemorrhage

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Obstetric operation resource allocation prediction system
  • Obstetric operation resource allocation prediction system
  • Obstetric operation resource allocation prediction system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] Example 1: Low-risk cases

[0052] Pregnant woman 29 years old (X 1 =29), produce 1 time (X 2 =1), 1 abortion (X 3 =1), vaginal delivery 0 times (X 4 =0), the gestational week 36+5 weeks (X 5 =0), no abnormal implantation of the placenta (X 6 =0), P value = 0.0467 <0.268, indicating that postpartum hemorrhage is not prone to occur in this case, and the buzzer alarms. After the patient was full-term and before contractions occurred, the patient was subjected to a planned cesarean section operation. The operation procedure was carried out in accordance with the general cesarean section operation procedure. There was no major hemorrhage during the operation and the patient's mother and child were safe.

Embodiment 2

[0053] Example 2: High-risk cases

[0054] Pregnant woman 32 years old (X 1 =32), produce 0 times (X 2 =0), 0 abortions (X 3 =0), vaginal delivery 0 times (X 4 =0), the gestational week 37+5 weeks (X 5 =1), placental adhesions (X 6 =1), the calculated P value=0.271>0.268, which indicates that this case is prone to postpartum hemorrhage and the buzzer alarms. The patient has been in bed and recuperated before delivery. After full-term and before the contraction occurs, the patient will be scheduled for cesarean section. During the operation, 1 will be the chief physician and 2 nurses will be added. The blood bank has been notified 4 days before the operation. 6000ml plasma. During the operation, the patient suffered severe bleeding. After treatment and blood transfusion, the patient was out of danger. From the end of the cesarean section to 24 hours after the delivery, the patient did not experience severe bleeding.

[0055] 2. The establishment process of the prediction system of...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention belongs to the field of biological medicine, and relates to an operation resource allocation prediction system, in particular to an obstetric operation resource allocation prediction system. The prediction system comprises a computer. A data acquisition module and an operation module are arranged in the computer; the data acquisition module is provided with an information acquisitionchannel for risk factors, the risk factors include the age of a pregnant woman, the number of previous parturition times, the number of previous abortion times, the previous vaginal delivery history,the week of pregnancy termination and the relationship between the placenta of pregnancy and the uterus, and the operation module calculates a risk value according to the risk factor information. Thesystem can accurately evaluate and predict whether the pregnant and lying-in woman with the preposed placenta during pregnancy has serious postpartum hemorrhage or not, and medical staff take certainmedical resource allocation measures according to risk conditions. The system can be applied to practice of surgical resource allocation of pregnant and preposed placenta pregnant and lying-in womenin the obstetrics and gynecology department of hospitals.

Description

Technical field [0001] The invention belongs to the field of biomedicine, and relates to a surgical resource allocation prediction system, in particular to an obstetric surgery resource allocation prediction system. Background technique [0002] The placenta previa (placenta previa) is located lower than the fetal presentation, attached to the lower end of the uterus, and the lower edge of the placenta reaches the intrauterine opening or completely covers the intrauterine opening. Placenta previa has a great impact on the health of pregnant women. It can easily lead to hemorrhage in late pregnancy and postpartum, shock and diffuse intravascular coagulation, as well as complications such as premature delivery of the fetus and maternal infection. The mortality and morbidity of newborns have increased. Although there is a strong correlation between placenta previa and postpartum hemorrhage, placenta previa is not always accompanied by severe postpartum hemorrhage. Therefore, it is...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G16H40/20
CPCG16H40/20
Inventor 陈诚刘小艳常青
Owner THE FIRST AFFILIATED HOSPITAL OF ARMY MEDICAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products