AU2021102430A4 - Classification system and automatic scoring method of condition of adult emergency case - Google Patents
Classification system and automatic scoring method of condition of adult emergency case Download PDFInfo
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Abstract
The invention discloses an classification system and automatic scoring method of the
condition of adult emergency case. The system comprises a symptom acquisition module, a
pre-judgment module, a first data acquisition module, a second data acquisition module, a first
scoring module, a second scoring module, a disease classification module and a data push
module; The symptom acquisition module is used to acquire the patient's symptoms; The
prediction module predicts critical illness based on patients' symptoms; The first and second
data acquisition modules are used to acquire physiological and biochemical index data; The
first and second scoring modules obtain the first and second disease scores of patients based
on physiological and biochemical index data; The disease classification module obtains the
disease grade based on the pre judgment score, the first disease score and the second disease
score, and takes the patients with high degree of emergency as the disease grade; The data push
module generates a push table based on the disease level and medical resources. The invention
can quickly and accurately grade the condition of the emergency case to ensure the critical
patients can be treated in time.
1/1
FIGURES
Symptom acquisition
module
Pre-judgment module
First data acquisition module Second data acquisition module
First scoring module Second scoring module
Disease classification
module
Data push module
Figure 1
Description
1/1
Symptom acquisition module
Pre-judgment module
First data acquisition module Second data acquisition module
First scoring module Second scoring module
Disease classification module
Data push module
Figure 1
Classification system and automatic scoring method of condition of adult emergency
case
The invention relates to the technical field of graded diagnosis and treatment, in
particular to an classification system and automatic scoring method of the condition of
adult emergency case.
The problem of "emergency is not urgent" is widespread in hospitals, especially in
large hospitals, where a large number of non-emergency patients occupy emergency
resources, which can not be used reasonably. As a result, the "difficulty in seeing a doctor"
in large hospitals becomes more serious, and emergency resources cannot be used
effectively, and even the treatment of critically ill patients may be delayed. However, for
many non-urgent patients, they do not intentionally occupy emergency resources. They
lack relevant professional knowledge and cannot distinguish between urgent and non
urgent diseases. Pre-examination and triage can reduce the occupation of emergency
resources by non-urgent patients, so that these non-urgent patients can go to the clinic to
seek medical treatment consciously, instead of competing for emergency resources with
critical patients. In addition, existing disease grading systems, such as Modified early
warning score, MEWS), acute physiological and chronic health evaluation system II,
systemic inflammatory response syndrome (sirs), have different methods, different
emphases, different indicators, and different applicable groups, which are not suitable for
emergency triage. Therefore, it is particularly necessary to provide a system and method
that can quickly and accurately classify adult emergency conditions.
The purpose of the present invention is to provide an classification system and
automatic scoring method of the condition of adult emergency case, which solve the
technical problems in the prior art, can quickly and accurately grade and grade emergency
illness, improve the use efficiency of emergency resources, and ensure timely treatment of
critically ill patients with strong applicability.
To achieve the above purpose, the present invention provides the following scheme:
The present invention provides an classification system of adult emergency case, which
comprises a symptom obtaining module, a pre-judging module, a first data acquisition
module, a second data acquisition module, a first scoring module, a second scoring module,
a disease grading module and a data pushing module;
The symptom acquisition module is used for obtaining symptoms of patients;
The pre-judgment module performs pre-judgment on acute and dangerous diseases
based on symptoms of patients, and outputs pre-judgment scores to the disease condition
grading module;
The first data acquisition module is used for acquiring physiological index data of
patients;
The second data acquisition module is used for acquiring biochemical index data of
patients;
The first scoring module acquires the first illness score of the patient based on the
physiological index data of the patient acquired by the first data acquisition module;
The second scoring module acquires the second disease score of the patient based on
the physiological index data of the patient acquired by the first data acquisition module and
the biochemical index data of the patient acquired by the second data acquisition module;
The disease classification module obtains disease grades based on the pre-judgment
score, the first disease score and the second disease score, and inputs the disease grades to
the data push module;
And the data push module generates a visit order push table based on the disease
condition grade and medical resources.
Preferably, the disease grades are divided into acute and critical diseases, acute and
severe diseases, emergency diseases and subacute diseases from heavy to light.
Preferably, when the pre-judgment result of the pre-judgment module is an urgent
disease, the pre-judgment score is a preset score, and the preset score is greater than the
lower limit value of the highest disease grade; Otherwise, the pre-judgment score is zero;
The pre-judgment module also outputs control instructions to the first data acquisition
module and the second data acquisition module; When the pre-judgment result is an acute
disease, the first data acquisition module and the second data acquisition module do not
need to collect patient index data; otherwise, the first data acquisition module and the
second data acquisition module respectively acquire patient physiological data and
biochemical data.
Further, the physiological indexes include one or more of body temperature, pulse,
systolic blood pressure, oxygen saturation, consciousness, breathing, admission mode,
syncope history, disease history, chest pain or chest tightness, complexion, hematochezia
or hematemesis, and cough volume.
Furthermore, the biochemical indexes include one or more of leukocyte count,
platelet, serum creatinine, serum bicarbonate and creatine kinase.
The biochemical index is the index obtained by the detection closest to the visit time.
Preferably, if the pre-judgment score in the disease grading module is non-zero, the
disease grade is urgent; And when the pre-judgment score is zero, inputting the disease
grade with high emergency degree among the disease grades obtained by the first disease
score and the second disease score as the disease grade of the patient to the data push
module.
Additionally, the classification system of adult emergency case further comprises a
display device, which is connected with the disease grading module and the data push
module respectively, and is used for displaying the pre-judgment score, the first disease
score, the second disease score, the disease grade and the visit order push table.
The invention also provide an automatic scoring method for the condition of adult
emergency case, which comprises that following steps:
S1, acquiring patient symptoms, pre-judging acute and dangerous diseases based on
the patient symptoms, and outputting a pre-judgment score; Execute step S3 if the pre
judgment result is critical, otherwise execute step S2; Wherein, when the pre-judgment
result of the pre-judgment module is an acute disease, the pre-judgment score is a preset
score, otherwise, the pre-judgment score is zero;
S2, respectively acquiring physiological index data and biochemical index data of a
patient, acquiring a first illness score of the patient based on the physiological index data,
and acquiring a second illness score of the patient based on the physiological index and
biochemical index data;
S3, obtaining a disease grade based on the pre-judgment score, the first disease score
and the second disease score;
S4, generating a push table of visiting order based on the disease condition grade and
medical resources.
Preferably, in the S3, the disease grade is divided from heavy to light : acute, severe,
emergency and subacute; Among them, when the predicted score is not zero, the disease
grade is acute; When the predicted score is zero, the severity level obtained by the first and
second severity scores is taken as the severity level of the patient with a high degree of
urgency.
The invention discloses the following technical effects:
The invention first obtains the patient 's symptoms by the symptom acquisition
module, and carries out the emergency prediction by the patient 's symptoms, so as to
quickly and accurately classify the condition of the emergency patients without obtaining
the physiological index data and biochemical index data of the emergency patients,
effectively improves the efficiency of the emergency treatment, and enables the emergency
patients to receive timely treatment. Otherwise, the validity and accuracy of the grading
results are effectively improved by double scoring of physiological index data and
biochemical index data and taking the patients with high emergency degree as the disease
grade. The invention also generates a medical order push table based on the condition grade
and medical resources, which is not only convenient for doctors to prepare manpower and
rescue supplies in time, but also can follow the principle of reasonable arrangement of
patients ' medical order from heavy to light, and give priority to the treatment of heavier
patients. It can effectively improve the phenomenon of emergency patients piling up, improve the efficiency of emergency resources, and enable patients to get the most
"suitable" treatment.
In order to explain the embodiments of the present invention or the technical scheme
in the prior art more clearly, the drawings needed in the embodiments will be briefly
introduced below. Obviously, the drawings in the following description are only some
embodiments of the present invention, and for ordinary technicians in the field, other
drawings can be obtained according to these drawings without paying creative labor.
Fig. 1 is a schematic structural diagram of the classification system of adult emergency
case of the present invention;
Fig. 2 is a flow chart of the automatic scoring method for adult emergency case
according to the present invention.
The technical scheme in the embodiments of the present invention will be described
clearly and completely with reference to the drawings in the embodiments of the present
invention. Obviously, the described embodiments are only part of the embodiments of the
present invention, not all of them. Based on the embodiments of the present invention, all
other embodiments obtained by ordinary technicians in the field without creative labor
belong to the scope of protection of the present invention.
In order to make the above objects, features and advantages of the present invention
more obvious and easy to understand, the present invention will be further explained in
detail with reference to the drawings and specific embodiments.
As shown in Figure 1, this embodiment provides an adult emergency condition
classification system, including symptom acquisition module, prediction module, first data
acquisition module, second data acquisition module, first scoring module, second scoring
module, disease classification module and data push module. The symptom acquisition
module is connected with the prediction module, and the prediction module is connected
with the first data acquisition module, the second data acquisition module and the disease
classification module respectively. The first data acquisition module is connected with the
first scoring module, the first data acquisition module and the second data acquisition
module are connected with the second scoring module, the first scoring module and the
second scoring module are connected with the disease classification module, and the
disease classification module is connected with the data push module.
Among them, the symptom acquisition module is used to obtain symptoms of patients,
such as cardiac arrest, massive hemoptysis, dyspnea, unconscious, etc.
The prediction module predicts the emergency based on the patient's symptoms, and
outputs the prediction score to the disease classification module according to the prediction
results. When the predicted result is critical, the predicted score is preset, and the preset
score is greater than the lower limit of the highest disease level. Otherwise, the predicted
score is zero. The prediction module also outputs control instructions to the first data
acquisition module and the second data acquisition module. When the prediction result is
critical, the first data acquisition module and the second data acquisition module do not
need to collect the patient index data, otherwise the physiological and biochemical data of
the patient are obtained by the first data acquisition module and the second data acquisition
module. If the patient needs immediate treatment, such as cardiac arrest, priority is given to determining the severity of the emergency patient as a critical illness. If the patient is only prescription, referral, outpatient, the system automatically generates non-emergency.
Therefore, when the predicted results are critical, there is no need to obtain the patient's
index data and calculate the disease score through the first data acquisition module and the
second data acquisition module, which effectively improves the efficiency of emergency
treatment.
The first data acquisition module is used to obtain the physiological index data of
patients. The physiological indexes include body temperature, pulse, systolic blood
pressure, oxygen saturation, consciousness, breathing, admission mode, syncope history,
disease history, chest pain or chest tightness, facial color, hematochezia or hematemesis,
and one or more of hemoptysis. The scores of each physiological index are as follows:
Table 1 Physiological Indexscore index 0 1 2 3 4 5 Be greater than Body 36.0- 38.6-40.5 or equal to 40.6 A. A. A. temperature 38.5 or < 35.9 Be greater
Pulse 60-109 110-149 50-59 150- A. than or equal 179 to 180 or < 49 Contraction 90-169 170-219 or 80- A. < 79 A. > 220 pressure 89 Blood oxygen 93-100 86-92 A. A. 76-85 < 75 saturation Consciousnes Sober Respond to Respond to pain A. A. No response s sound Half- To breathe Respiratory Normal Dyspnea A. sitting A. or breathe condition breathi weakly. ng Admission Self- Be supported by Wheelchair Flat car mode walking others History of A. Have A. A. A. A. syncope
Disease Cardiovascular Have kidney A. and respiratory disease or A. A. A. history diseases malignant tumor
Chest pain or Chest pain or A. Chest tightness chest pain, chest A. A. A. tightness tightness Complexion A. Pale Cyanosis Icterus A. A. Hematochezia or A. A. Hematemesis A. A. A. hematemesis Hemoptysis/2 A. 100 A. 100 A. >300 4h 300
The second data acquisition module is used to obtain the biochemical index data of
patients, and the biochemical index data is the index obtained from the test nearest to the
visiting time; The biochemical indexes include one or more of the white blood cell count,
platelets, blood creatinine, serum bicarbonate, creatine kinase, and the scores of each
biochemical index are as shown in Table 2 :
Table 2 Biochemical Indexscore index 0 1 2 3 4 5 Leukocyte 3.0- 12.00-29.99 or < >30 A. A. A. count 11.99 2.99 Be greater than Blood platelet 100-400 or eq l to Twenty-49.99 < 19.99 A. A. 50-99.99
cr atin<ne 150 150.01-700 700.01-1000 > 1000.01 A. A.
Serum Twenty- 30.01-35 or 10- Less than 10 A. > 35.01 A. bicarbonate 30 19.99 Creatine kinase < 200 200.01-500 500.01-1000 1000.01 A. A. The first scoring module obtains the patient's physiological index data obtained by the module based on the first data, and obtains the patient's first illness score; The second scoring module obtains the patient's second illness score based on the patient's physiological index data obtained by the first data acquisition module and the patient's biochemical index data obtained by the second data acquisition module; The disease classification module obtains the disease level based on the prejudgment score, the first illness score and the second illness score, and enters the disease level into the data push module;
The severity of the disease is divided into: acute crisis, severe severe illness, emergency, sub-emergency; Among them, the pre-judgment score is non-zero, the severity of the disease is acute crisis; When the prejudgment score is zero, the data push module is fed into the first and second disease score, and the high emergency degree of the disease is the patient's condition grade. The calculation of the disease grade based on the score of the first case and the score of the second case is shown in Table 3 and Table 4 respectively. Table 3 Disease level Acute crisis Acute severe Emergency Subemergency
Score 11 Five to ten One to four Zero point _L minutes minutes
Table 4 Disease level Acute crisis Acute severe Emergency Subemergency
Score 13 Six to twelve One to five Zero point _______________L _______________________ minutes _ __________
The data push module generates a referral sequence push table based on the illness
level and medical resources; Through the treatment sequence pushing table, it is not only
convenient for doctors to prepare manpower and rescue supplies in time, but also can
follow the principle of " from heavy to light ", reasonably arrange patients's treatment
sequence, give priority to the heavier patients, can effectively improve the phenomenon of
emergency patients bunching, enhance the use efficiency of emergency resources, so that
patients can get the most " suitable " treatment.
Further optimizing the scheme, the adult emergency medical condition grading system
includes a display device, the display device is a touch liquid crystal display screen, and
the display device is connected with the illness grading module and the data push module
respectively, and is used to display the pre-judgment score, the first illness score, the
second illness score, the illness grade and the order of consultation, so as to facilitate the
patient and medical personnel to see in time.
As shown in Figure 2, this embodiment also provides an automatic scoring method
for the emergency status of adults, including the following steps :
S1, acquiring patient symptoms, pre-judging acute and dangerous diseases based on
the patient symptoms, and outputting a pre-judgment score; Execute step S3 if the pre
judgment result is critical, otherwise execute step S2; When the pre-judgment result of the
pre-judgment module is an acute disease, the pre-judgment score is a preset score, and the
preset score is greater than the lower limit value of the acute disease; otherwise, the pre
judgment score is zero.
S2, respectively acquiring physiological index data and biochemical index data of a
patient, acquiring a first illness score of the patient based on the physiological index data,
and acquiring a second illness score of the patient based on the physiological index and
biochemical index data;
S3, obtaining a disease grade based on the pre-judgment score, the first disease score
and the second disease score;
The disease grade is divided into: acute and critical disease, acute and severe disease,
emergency disease and subacute disease; Among them, if the pre-judgment score is non
zero, the disease grade is urgent; And when the pre-judgment score is zero, taking the
disease grade with high emergency degree as the disease grade of the patient among the
disease grades obtained by the first disease score and the second disease score.
S4, generating a push table of visiting order based on the disease condition grade and
medical resources.
The embodiment described above is only a description of the preferred method of the
invention, is not a limitation of the scope of the invention, and, subject to the design spirit
of the invention, all variations and improvements made by ordinary technical personnel in the field to the technical scheme of the invention shall fall within the scope of protection determined in the claim for the invention.
Claims (10)
1. An classification system of adult emergency case, characterized by comprising a
symptom acquisition module, a pre-judgment module, a first data acquisition module, a
second data acquisition module, a first scoring module, a second scoring module, a disease
classification module and a data push module;
The symptom acquisition module is used for obtaining symptoms of patients;
The pre-judgment module performs pre-judgment on acute and dangerous diseases based
on symptoms of patients, and outputs pre-judgment scores to the disease condition grading
module;
The first data acquisition module is used for acquiring physiological index data of patients;
The second data acquisition module is used for acquiring biochemical index data of
patients;
The first scoring module acquires the first illness score of the patient based on the
physiological index data of the patient acquired by the first data acquisition module;
The second scoring module acquires the second disease score of the patient based on the
physiological index data of the patient acquired by the first data acquisition module and
the biochemical index data of the patient acquired by the second data acquisition module;
The disease classification module obtains disease grades based on the pre-judgment score,
the first disease score and the second disease score, and inputs the disease grades to the
data push module;
And the data push module generates a visit order push table based on the disease condition
grade and medical resources.
2. The classification system of adult emergency case according to claim 1, which is
characterized in that the disease grades are divided into acute and critical diseases, acute
and severe diseases, emergency diseases and subacute diseases from heavy to light.
3. The classification system of adult emergency case according to claim 2, wherein when
the pre-judgment result of the pre-judgment module is an urgent disease, the pre-judgment
score is a preset score, and the preset score is greater than the lower limit value of the
highest disease grade; Otherwise, the pre-judgment score is zero; The pre-judgment module
also outputs control instructions to the first data acquisition module and the second data
acquisition module; When the pre-judgment result is an acute disease, the first data
acquisition module and the second data acquisition module do not need to collect patient
index data; otherwise, the first data acquisition module and the second data acquisition
module respectively acquire patient physiological data and biochemical data.
4. The classification system of adult emergency case according to claim 1, wherein the
physiological indexes include one or more of body temperature, pulse, systolic blood
pressure, oxygen saturation, consciousness, breathing, admission mode, syncope history,
disease history, chest pain or chest tightness, complexion, hematochezia or hematemesis,
and cough volume.
5. The classification system of adult emergency case according to claim 1, wherein the
biochemical indexes include one or more of leukocyte count, platelet, serum creatinine,
serum bicarbonate and creatine kinase.
6. The classification system of adult emergency case according to claim 1, characterized in
that the biochemical index is the index obtained by the detection closest to the visit time.
7. The classification system of adult emergency case according to claim 1, characterized in
that if the pre-judgment score in the disease grading module is non-zero, the disease grade
is urgent; And when the pre-judgment score is zero, inputting the disease grade with high
emergency degree among the disease grades obtained by the first disease score and the
second disease score as the disease grade of the patient to the data push module.
8. The classification system of adult emergency case according to claim 1, wherein the
classification system of adult emergency case further comprises a display device, which is
connected with the disease grading module and the data push module respectively, and is
used for displaying the pre-judgment score, the first disease score, the second disease score,
the disease grade and the visit order push table.
9. The invention relates to an automatic scoring method for adult emergency conditions,
which is characterized by comprising the following steps:
S1, acquiring patient symptoms, pre-judging acute and dangerous diseases based on the
patient symptoms, and outputting a pre-judgment score; Execute step S3 if the pre
judgment result is critical, otherwise execute step S2; Wherein, when the pre-judgment
result of the pre-judgment module is an acute disease, the pre-judgment score is a preset
score, otherwise, the pre-judgment score is zero;
S2, respectively acquiring physiological index data and biochemical index data of a patient,
acquiring a first illness score of the patient based on the physiological index data, and
acquiring a second illness score of the patient based on the physiological index and
biochemical index data;
S3, obtaining a disease grade based on the pre-judgment score, the first disease score and
the second disease score;
S4, generating a push table of visiting order based on the disease condition grade and
medical resources.
10. The automatic scoring method for adult emergency disease according to claim 9,
characterized in that in S3, the disease grade is divided into acute, severe, urgent and
subacute; Among them, if the pre-judgment score is non-zero, the disease grade is urgent;
And when the pre-judgment score is zero, taking the disease grade with high emergency
degree as the disease grade of the patient among the disease grades obtained by the first
disease score and the second disease score.
FIGURES 1/1
Figure 1
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