CN112820372B - Automatic generation method and system of nursing scheme - Google Patents
Automatic generation method and system of nursing scheme Download PDFInfo
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- 230000000474 nursing effect Effects 0.000 title claims abstract description 48
- 238000000034 method Methods 0.000 title claims abstract description 25
- 201000010099 disease Diseases 0.000 claims abstract description 197
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 197
- 208000024891 symptom Diseases 0.000 claims description 31
- 238000012216 screening Methods 0.000 claims description 17
- 206010025482 malaise Diseases 0.000 claims description 12
- 239000013598 vector Substances 0.000 claims description 12
- 238000010276 construction Methods 0.000 claims description 9
- 238000003745 diagnosis Methods 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000012512 characterization method Methods 0.000 claims description 6
- 238000012544 monitoring process Methods 0.000 claims description 6
- 230000036541 health Effects 0.000 claims description 4
- 230000008859 change Effects 0.000 claims description 3
- 230000007812 deficiency Effects 0.000 abstract description 2
- 206010012601 diabetes mellitus Diseases 0.000 description 5
- 230000001788 irregular Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 206010006458 Bronchitis chronic Diseases 0.000 description 1
- 206010007558 Cardiac failure chronic Diseases 0.000 description 1
- 206010008111 Cerebral haemorrhage Diseases 0.000 description 1
- 208000017667 Chronic Disease Diseases 0.000 description 1
- 208000031226 Hyperlipidaemia Diseases 0.000 description 1
- 206010020772 Hypertension Diseases 0.000 description 1
- 206010028980 Neoplasm Diseases 0.000 description 1
- 206010067584 Type 1 diabetes mellitus Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000036772 blood pressure Effects 0.000 description 1
- 206010006451 bronchitis Diseases 0.000 description 1
- 206010008118 cerebral infarction Diseases 0.000 description 1
- 208000026106 cerebrovascular disease Diseases 0.000 description 1
- 208000007451 chronic bronchitis Diseases 0.000 description 1
- 208000029078 coronary artery disease Diseases 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 208000004104 gestational diabetes Diseases 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000004962 physiological condition Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 201000003068 rheumatic fever Diseases 0.000 description 1
- 208000004124 rheumatic heart disease Diseases 0.000 description 1
- 208000001072 type 2 diabetes mellitus Diseases 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
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- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/906—Clustering; Classification
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- G—PHYSICS
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
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Abstract
The invention discloses a method and a system for automatically generating a nursing scheme, wherein the method comprises the following steps: 1) Establishing a disease feature database; 2) Establishing a disease type database; 3) Establishing a patient care plan database; 4) And for the admitted patient, judging and obtaining the name of the lowest-level disease type of the patient by utilizing the disease characteristic database and the disease type database for matching, and finally, combining the basic information of the patient to obtain the personalized care scheme of the patient from the patient care scheme database for matching. The invention can realize the automatic generation of the nursing scheme, reduce the workload of doctors, generate a standardized nursing scheme and prevent the problems of nursing scheme deficiency, information omission and the like; according to the invention, the personalized nursing scheme aiming at the characteristics of the patient can be obtained by taking the disease type of the patient and the personal characteristic information of the patient as the basis, so that the nursing scheme can be more fit with the actual requirements of the patient, and the nursing effect is better.
Description
Technical Field
The invention relates to the technical field of nursing, in particular to an automatic generation method and system of a nursing scheme.
Background
In a health management system, a doctor manually issues a nursing scheme according to symptoms of a patient, the nursing scheme is various and needs to be customized for different symptoms, the manual processing workload is large, and errors such as missing of the nursing scheme, irregular description, missing of information and the like can occur in the processing process, so that the nursing scheme can be irregular. On the other hand, the care scheme is usually formulated only according to the disease type of the patient, but different care schemes cannot be given for the differences of personal characteristics (such as physiological indexes, ages and the like) of different patients, so that the care scheme cannot be well fit with the personalized requirements of the patients, and the care effect is poor.
Therefore, a more reliable solution is now needed.
Disclosure of Invention
The technical problem to be solved by the invention is to provide an automatic generation method and system of a nursing scheme aiming at the defects in the prior art.
In order to solve the technical problems, the invention adopts the following technical scheme: an automatic generation method of a nursing scheme comprises the following steps:
1) Establishing a disease feature database which comprises a plurality of disease feature items, wherein each disease feature item has a unique number and a disease feature description text;
2) Establishing a disease type database, wherein the disease type database comprises a plurality of lowest-level disease seed items, and each lowest-level disease seed item comprises a lowest-level disease seed name and a corresponding disease feature vector formed by at least one disease feature item for representing symptoms of the low-level disease seed;
3) Establishing a patient care plan database configured with different personalized care plans for each lowest level disease species in the disease type database and for the gender, age group, and sign information characteristics of the patient;
4) Identifying a diagnosis report of a patient by using the disease characteristic database to obtain a disease characteristic item corresponding to symptoms represented by the patient, then matching the disease characteristic item with the disease type database, judging to obtain the name of the lowest-level disease type of the patient, and finally matching the patient with basic information of the patient from the patient care scheme database to obtain a personalized care scheme of the patient; wherein the patient's basic information includes at least the patient's gender, age and physical sign information.
Preferably, the step 1) specifically includes:
1-1) acquiring descriptive text entries characterizing symptoms of a number of different diseases with reference to existing symptom guidelines, health management standards, care standards;
1-2) calculating the similarity among all the descriptive text items by using a text similarity calculation method, and combining a plurality of descriptive text items with similarity higher than a set threshold value into one descriptive text item;
1-3) assigning a unique number to each descriptive text to form a diseased signature.
Preferably, the diseased feature item further includes a judgment standard for obtaining descriptive text in the diseased feature item.
Preferably, the step 2) specifically includes:
2-1) classifying the disease into a plurality of grades, and collecting the characterization symptom text of each lowest grade disease species of the disease;
2-2) carrying out similarity calculation on the diseased feature description text in the diseased feature items in the diseased feature database and the characterization symptom text of the disease species at the lowest level, extracting diseased feature items corresponding to the diseased feature description text with the similarity larger than a preset threshold value, constructing the diseased feature vectors of the disease species at the current lowest level,
2-3) combining the disease feature vector with the name of the corresponding lowest-level disease seed to obtain a lowest-level disease seed item;
2-4) obtaining the lowest-level disease seed item of each lowest-level disease seed of each disease according to the method of the steps 2-1) to 2-3), and constructing to obtain the disease type database.
Preferably, in the step 3), each personalized care plan includes at least information of care content, total number of care, frequency of care, number of care personnel, and resources required for care.
Preferably, the step 4) specifically includes:
4-1) identifying a diagnosis report of the patient by using the disease characteristic database to obtain a disease characteristic item corresponding to symptoms represented by the patient, and acquiring basic information of the patient to obtain sex, age and sign information of the patient;
4-2) matching the obtained disease characteristic items with the disease type database, and judging to obtain the name of the lowest-level disease species suffered by the patient;
4-3) firstly screening the patient care plan database for the first time according to the name of the lowest-level disease species suffered by the patient, screening the patient care plan meeting the requirements, then sequentially screening the result of the first screening according to the sign information, sex and age of the patient, and finally obtaining the personalized care plan meeting the disease characteristics and basic information characteristics of the patient.
Preferably, the method further comprises: and 4-4) after nursing the patient according to the personalized nursing scheme, monitoring the change condition of the physical sign information of the patient, and adjusting the personalized nursing scheme of the patient according to the monitoring result.
Preferably, in the step 4-4), for the obtained personalized care plan of the patient, the doctor performs manual examination on the personalized care plan, and after the examination is passed, the patient is nursed according to the personalized care plan.
The invention also provides an automatic care plan generating system which adopts the method to automatically generate the care plan for the admitted patient.
Preferably, the care plan automatic generation system includes:
the disease feature database construction module is used for constructing a disease feature database, and the disease feature database comprises a plurality of disease feature items, wherein each disease feature item has a unique number and disease feature description text;
the disease type database construction module is used for constructing a disease type database, the disease type database comprises a plurality of lowest-level disease seed items, and each lowest-level disease seed item comprises a lowest-level disease seed name and a corresponding disease feature vector formed by at least one disease feature item for representing symptoms of the low-level disease seed;
a patient care plan database construction module for constructing a patient care plan database configured with different personalized care plans for each lowest level disease species in the disease type database and for gender, age group, and sign information characteristics of the patient;
the nursing scheme generation module is used for identifying a diagnosis report of a patient by using the sickness feature database to obtain sickness feature items corresponding to symptoms represented by the patient, then matching the sickness feature items with the sickness type database, judging the name of the lowest grade sickness species of the patient, and finally matching the lowest grade sickness species with basic information of the patient from the patient nursing scheme database to generate a personalized nursing scheme of the patient; wherein the patient's basic information includes at least the patient's gender, age and physical sign information.
The beneficial effects of the invention are as follows: the invention can realize the automatic generation of the nursing scheme, reduce the workload of doctors, generate a standardized nursing scheme and prevent the problems of nursing scheme deficiency, information omission and the like; according to the invention, the personalized nursing scheme aiming at the characteristics of the patient can be obtained by taking the disease type of the patient and the personal characteristic information of the patient as the basis, so that the nursing scheme can be more fit with the actual requirements of the patient, and the nursing effect is better.
Drawings
Fig. 1 is a flowchart of the automatic care plan generating method of the present invention.
Detailed Description
The present invention is described in further detail below with reference to examples to enable those skilled in the art to practice the same by referring to the description.
It will be understood that terms, such as "having," "including," and "comprising," as used herein, do not preclude the presence or addition of one or more other elements or groups thereof.
Example 1
Referring to fig. 1, a method for automatically generating a care plan according to the present embodiment includes the following steps:
s1, establishing a disease feature database, wherein the disease feature database comprises a plurality of disease feature items, and each disease feature item is provided with a unique number and a disease feature description text.
The step 1) specifically comprises the following steps:
1-1) acquiring descriptive text entries representing symptoms of a plurality of different diseases by referring to the existing symptom guidelines, health management standards, nursing standards and other data;
1-2) calculating the similarity among all the descriptive text items by using a text similarity calculation method, and combining a plurality of descriptive text items with similarity higher than a set threshold value into one descriptive text item;
1-3) assigning a unique number to each descriptive text to form a diseased signature.
In a preferred embodiment, the diseased feature item further includes a judgment standard (including judgment index, judgment mode, etc.) for obtaining the descriptive text in the diseased feature item.
S2, establishing a disease type database, wherein the disease type database comprises a plurality of lowest-level disease seed items, and each lowest-level disease seed item comprises a lowest-level disease seed name and a corresponding disease feature vector formed by at least one disease feature item representing symptoms of the low-level disease seed.
The step 2) specifically comprises the following steps:
2-1) classifying the disease into a plurality of grades, and collecting the characterization symptom text of each lowest grade disease species of the disease;
2-2) carrying out similarity calculation on the diseased feature description text in the diseased feature items in the diseased feature database and the characterization symptom text of the disease species at the lowest level, extracting diseased feature items corresponding to the diseased feature description text with the similarity larger than a preset threshold value, constructing the diseased feature vectors of the disease species at the current lowest level,
2-3) combining the disease feature vector with the name of the corresponding lowest-level disease seed to obtain a lowest-level disease seed item;
2-4) obtaining the lowest-level disease seed item of each lowest-level disease seed of each disease according to the method of the steps 2-1) to 2-3), and constructing to obtain a disease type database.
That is, for different diseases, the disease can be subdivided into a plurality of levels, and finally into a plurality of disease types at the bottommost level, and the symptoms represented by each disease type at the bottommost level correspond to one or a plurality of disease characteristic items in the disease characteristic database, so that the classification and identification of the disease types at the bottommost level can be realized through the disease characteristic items. For example, chronic diseases mainly include hypertension, coronary heart disease, diabetes mellitus, hyperlipidemia, cerebral infarction, cerebral hemorrhage, chronic heart failure of chronic bronchitis, rheumatic heart disease, rheumatic arthritis, tumor and the like, and the diabetes mellitus can be further subdivided into four types of bottommost level diseases such as type 1 diabetes, type 2 diabetes, special type diabetes and gestational diabetes by taking the example, and the symptom represented by each type of diabetes corresponds to one or more of the disease characteristic items in the disease characteristic database, so that the type of diabetes can be classified and identified by the disease characteristic items.
S3, establishing a patient care scheme database, wherein different personalized care schemes are configured for each lowest-level disease type in the disease type database and the gender, age group and sign information characteristics of the patient.
I.e. there are a number of different general care regimens depending on the patient's type of disease, then depending on the patient's characteristics: gender, age group, sign information (or physiological index such as heart rate, blood pressure, etc. which can represent physiological condition of patient)
Each personalized care regimen includes at least information on care content, total number of care, frequency of care, number of caregivers, resources needed for care.
S4, identifying a diagnosis report of the patient by using a disease characteristic database to obtain a disease characteristic item corresponding to symptoms represented by the patient, then matching the disease characteristic item with a disease type database, judging to obtain the name of the lowest-level disease species suffered by the patient, and finally matching the patient with basic information of the patient from a patient care scheme database to obtain a personalized care scheme of the patient; wherein the patient's basic information includes at least the patient's gender, age and physical sign information.
The step 4) specifically comprises the following steps:
4-1) identifying a diagnosis report of the patient by using a disease characteristic database to obtain a disease characteristic item corresponding to symptoms represented by the patient, and acquiring basic information of the patient to obtain sex, age and sign information of the patient;
4-2) matching the obtained disease characteristic items with a disease type database, and judging to obtain the name of the lowest-level disease species suffered by the patient;
4-3) firstly screening the patient care plan meeting the requirements from a patient care plan database according to the name of the lowest-level disease species suffered by the patient, then sequentially screening the result of the first screening according to the sign information, sex and age of the patient, and finally obtaining the personalized care plan meeting the disease characteristics and basic information characteristics of the patient. In one embodiment, the screening order for the personalized care regimen is: screening according to the name of the lowest-level disease, then screening again according to the sign information of the patient, then screening for three times according to the sex of the patient, and finally screening for four times according to the age of the patient, thus obtaining the personalized nursing scheme. By taking the disease type of the patient and the personal characteristic information of the patient as the basis, the personalized nursing scheme aiming at the patient is obtained through screening, so that the obtained nursing scheme can be more fit with the actual requirement of the patient, and has better nursing effect.
In a preferred embodiment, the method further comprises: and 4-4) after nursing the patient according to the personalized nursing scheme, monitoring the change condition of the physical sign information of the patient, and adjusting the personalized nursing scheme of the patient according to the monitoring result. Further, in step 4-4), for the obtained personalized care plan of the patient, the personalized care plan is manually checked by the doctor, and after the checking is passed, the patient is nursed according to the personalized care plan. And if the verification is not passed, the personalized nursing scheme is manually modified until the requirement is met.
Example 2
The present embodiment provides a care plan automatic generation system that automatically generates a care plan for an admitted patient using the method of embodiment 1, the care plan automatic generation system comprising:
the disease feature database construction module is used for constructing a disease feature database, and the disease feature database comprises a plurality of disease feature items, wherein each disease feature item has a unique number and disease feature description text;
the disease type database construction module is used for constructing a disease type database, the disease type database comprises a plurality of lowest-level disease seed items, and each lowest-level disease seed item comprises a lowest-level disease seed name and a corresponding disease feature vector formed by at least one disease feature item for representing symptoms of the low-level disease seed;
a patient care plan database construction module for constructing a patient care plan database configured with different personalized care plans for each lowest level disease species in the disease type database and for the gender, age group, sign information characteristics of the patient;
the nursing scheme generation module is used for identifying a diagnosis report of a patient by using a disease characteristic database to obtain a disease characteristic item corresponding to symptoms represented by the patient, then matching the disease characteristic item with a disease type database, judging to obtain the name of the lowest-level disease species suffered by the patient, and finally matching the patient with basic information from the patient nursing scheme database to generate a personalized nursing scheme of the patient; wherein the patient's basic information includes at least the patient's gender, age and physical sign information.
Although embodiments of the present invention have been disclosed above, it is not limited to the use of the description and embodiments, it is well suited to various fields of use for the invention, and further modifications may be readily apparent to those skilled in the art, and accordingly, the invention is not limited to the particular details without departing from the general concepts defined in the claims and the equivalents thereof.
Claims (9)
1. An automatic generation method of a nursing scheme is characterized by comprising the following steps:
1) Establishing a disease feature database which comprises a plurality of disease feature items, wherein each disease feature item has a unique number and a disease feature description text;
2) Establishing a disease type database, wherein the disease type database comprises a plurality of lowest-level disease seed items, and each lowest-level disease seed item comprises a lowest-level disease seed name and a corresponding disease feature vector formed by at least one disease feature item for representing symptoms of the lowest-level disease seed;
3) Establishing a patient care plan database configured with different personalized care plans for each lowest level disease species in the disease type database and for the gender, age group, and sign information characteristics of the patient;
4) Identifying a diagnosis report of a patient by using the disease characteristic database to obtain a disease characteristic item corresponding to symptoms represented by the patient, then matching the disease characteristic item with the disease type database, judging to obtain the name of the lowest-level disease type of the patient, and finally matching the patient with basic information of the patient from the patient care scheme database to obtain a personalized care scheme of the patient; wherein the patient's basic information includes at least the patient's gender, age and physical sign information;
the step 2) specifically comprises the following steps:
2-1) classifying the disease into a plurality of grades, and collecting the characterization symptom text of each lowest grade disease species of the disease;
2-2) carrying out similarity calculation on the diseased feature description text in the diseased feature items in the diseased feature database and the characterization symptom text of the disease species at the lowest level, extracting diseased feature items corresponding to the diseased feature description text with the similarity larger than a preset threshold value, constructing the diseased feature vectors of the disease species at the current lowest level,
2-3) combining the disease feature vector with the name of the corresponding lowest-level disease seed to obtain a lowest-level disease seed item;
2-4) obtaining the lowest-level disease seed item of each lowest-level disease seed of each disease according to the method of the steps 2-1) to 2-3), and constructing to obtain the disease type database.
2. The automatic care plan generating method according to claim 1, wherein the step 1) specifically comprises:
1-1) acquiring descriptive text entries characterizing symptoms of a number of different diseases with reference to existing symptom guidelines, health management standards, care standards;
1-2) calculating the similarity among all the descriptive text items by using a text similarity calculation method, and combining a plurality of descriptive text items with similarity higher than a set threshold value into one descriptive text item;
1-3) assigning a unique number to each descriptive text to form a diseased signature.
3. The method for automatically generating a care plan according to claim 1, wherein the affected feature item further comprises a judgment standard for obtaining descriptive text in the affected feature item.
4. The automatic generation method of care plan according to claim 1, wherein in the step 3), each personalized care plan includes at least information of care contents, total number of care, frequency of care, number of care personnel, resources required for care.
5. The automatic care plan generating method according to claim 4, wherein the step 4) specifically comprises:
4-1) identifying a diagnosis report of the patient by using the disease characteristic database to obtain a disease characteristic item corresponding to symptoms represented by the patient, and acquiring basic information of the patient to obtain sex, age and sign information of the patient;
4-2) matching the obtained disease characteristic items with the disease type database, and judging to obtain the name of the lowest-level disease species suffered by the patient;
4-3) firstly screening the patient care plan database for the first time according to the name of the lowest-level disease species suffered by the patient, screening the patient care plan meeting the requirements, then sequentially screening the result of the first screening according to the sign information, sex and age of the patient, and finally obtaining the personalized care plan meeting the disease characteristics and basic information characteristics of the patient.
6. The method for automatically generating a care plan as recited in claim 5, further comprising: and 4-4) after nursing the patient according to the personalized nursing scheme, monitoring the change condition of the physical sign information of the patient, and adjusting the personalized nursing scheme of the patient according to the monitoring result.
7. The automatic generation method of a care plan according to claim 6, wherein in the step 4-4), for the obtained personalized care plan of the patient, the personalized care plan is manually checked by a doctor, and after the checking is passed, the patient is nursed according to the personalized care plan.
8. An automatic care regimen generating system characterized in that it automatically generates a care regimen for an admitted patient using the method of any one of claims 1-7.
9. The automated care regimen generating system as defined in claim 8, wherein the system comprises:
the disease feature database construction module is used for constructing a disease feature database, and the disease feature database comprises a plurality of disease feature items, wherein each disease feature item has a unique number and disease feature description text;
the disease type database construction module is used for constructing a disease type database, the disease type database comprises a plurality of lowest-level disease seed items, each lowest-level disease seed item comprises a lowest-level disease seed name and a corresponding disease feature vector formed by at least one disease feature item representing symptoms of the lowest-level disease seed;
a patient care plan database construction module for constructing a patient care plan database configured with different personalized care plans for each lowest level disease species in the disease type database and for gender, age group, and sign information characteristics of the patient;
the nursing scheme generation module is used for identifying a diagnosis report of a patient by using the sickness feature database to obtain sickness feature items corresponding to symptoms represented by the patient, then matching the sickness feature items with the sickness type database, judging the name of the lowest grade sickness species of the patient, and finally matching the lowest grade sickness species with basic information of the patient from the patient nursing scheme database to generate a personalized nursing scheme of the patient; wherein the patient's basic information includes at least the patient's gender, age and physical sign information.
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| CN116206774B (en) * | 2023-04-27 | 2023-07-14 | 深圳市浩然盈科通讯科技有限公司 | Method and system for automatically matching nursing treatment scheme by combining big data |
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| CN110544522A (en) * | 2019-08-23 | 2019-12-06 | 甘肃中医药大学附属医院 | mobile nursing information system based on traditional Chinese medicine nursing program |
| CN111128329A (en) * | 2019-11-22 | 2020-05-08 | 泰康保险集团股份有限公司 | Dynamic generation method, device and medium of personalized health abstract and electronic equipment |
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