CN111341440B - Method for intelligent diagnosis and treatment and intelligent diagnosis and treatment system - Google Patents

Abstract

The invention discloses a method for intelligent diagnosis and treatment, which comprises the following steps: responding to the input instruction, and acquiring diagnosis and treatment parameters and personal information corresponding to the input instruction; generating diagnosis and treatment information according to the diagnosis and treatment parameters and the personal information; and responding to the diagnosis instruction and/or the nursing instruction, and acquiring matched first diagnosis and treatment content and/or second diagnosis and treatment content output from the diagnosis and treatment information. The invention also discloses an intelligent diagnosis and treatment system, and the method and the system disclosed by the invention can obviously improve the disease diagnosis efficiency and medical care quality of doctors, optimize the medical care flow and improve the nursing work efficiency.

Description

A method for intelligent diagnosis and treatment and an intelligent diagnosis and treatment system

technical field

The invention relates to the technical field of medical information, in particular to a method for intelligent diagnosis and treatment and an intelligent diagnosis and treatment system.

Background technique

With the increasing number of patients, most doctors have to deal with multiple patients, which will make the doctor's outpatient service time longer, but the consultation time for each patient is too short, which is prone to misdiagnosis or requires repeated examinations by doctors, resulting in Waste of medical resources and treatment time. Moreover, for the nursing staff, there will also be a situation of facing many patients, which will cause confusion in the nursing steps, and the correct nursing of the patients cannot be performed in time, which is not conducive to the recovery of the patient's condition.

Contents of the invention

The technical problem to be solved by the present invention is to provide a method for intelligent diagnosis and treatment and an intelligent diagnosis and treatment system, which can significantly improve the efficiency of doctors in diagnosing diseases and the quality of medical care, optimize the medical care process, and improve the efficiency of nursing work.

In order to solve the above technical problems, the first aspect of the present invention discloses a method for intelligent diagnosis and treatment. The method includes: responding to an input instruction, obtaining the diagnosis and treatment parameters and personal information corresponding to the input instruction; generating diagnosis and treatment information according to the diagnosis and treatment parameters and personal information; responding Based on the diagnosis instruction and/or the nursing instruction, the matched first diagnosis and treatment content and/or the second diagnosis and treatment content are outputted in the diagnosis and treatment information.

In some embodiments, generating diagnosis and treatment information according to diagnosis and treatment parameters and personal information includes: obtaining historical clinical information and/or current clinical information associated with personal information; correlating diagnosis and treatment parameters with historical clinical information and/or current clinical information Screening, generating clinical information; generating diagnosis and treatment information according to diagnostic rules and the clinical information.

In some embodiments, the diagnosis rules include: assigning multiple disease categories with mapping relationships to each branch system; assigning clinical information with mapping relationships to each disease name of the disease category; assigning diagnosis and treatment with mapping relationships to clinical information information.

In some embodiments, the above method further includes outputting a plurality of related clinical information according to the diagnostic rules and historical clinical information; obtaining the determined clinical information to generate diagnosis and treatment information.

In one embodiment, the above method further includes: outputting a plurality of relevant disease categories according to diagnostic rules and current clinical information; screening multiple relevant disease categories according to historical clinical information to generate determined disease categories, and according to the determined Disease categories and diagnosis rules to obtain corresponding diagnosis and treatment information.

In some embodiments, the first diagnosis and treatment content is a combination of one or more of the disease name, treatment principle, and treatment method corresponding to the diagnosis instruction; the second diagnosis and treatment content is the disease name, nursing measures, and nursing care instructions corresponding to the nursing instruction. One or more combinations of considerations.

The second aspect of the present invention discloses a system of intelligent diagnosis and treatment, the system includes: an information acquisition module, used to respond to input instructions, to obtain the diagnosis and treatment parameters and personal information corresponding to the input instructions, and a processing module, used to obtain information based on the diagnosis and treatment parameters and personal information The information generates diagnosis and treatment information; the display module is used to obtain the matching first diagnosis and treatment content and/or second diagnosis and treatment content in the diagnosis and treatment information in response to the diagnosis instruction and/or nursing instruction and output.

In some embodiments, the processing module includes: an acquisition unit, configured to acquire historical clinical information and/or current clinical information associated with personal information; a screening unit, configured to include the diagnosis and treatment parameters in the historical clinical information and/or current clinical information Carry out correlation screening to generate clinical information; a generation unit is used to generate diagnosis and treatment information according to diagnostic rules and clinical information. .

The third aspect of the present invention discloses a device for intelligent diagnosis and treatment, which includes:

a memory storing executable program code;

a processor coupled to the memory;

The processor invokes the executable program code stored in the memory to execute the method for intelligent diagnosis and treatment described in any one of the first aspects of the present invention.

The fourth aspect of the present invention discloses a computer storage medium. The computer storage medium stores computer instructions. When the computer instructions are invoked, they are used to execute the method for intelligent diagnosis and treatment described in any one of the first aspects of the present invention.

Compared with prior art, the beneficial effect of the present invention is:

The implementation of the present invention can provide clinical guidance for doctors and nurses. Only through a single diagnosis and treatment parameter, combined with the actual clinical situation of the patient, useful diagnosis and treatment information can be intelligently screened out for the two-way selection of clinical diagnosis and clinical care, thereby significantly improving the efficiency of doctors. The efficiency of diagnosing diseases and the quality of medical care, optimizing the medical care process and improving the efficiency of nursing work.

Description of drawings

Fig. 1 is a schematic flowchart of a method for intelligent diagnosis and treatment disclosed in an embodiment of the present invention;

Fig. 2 is a schematic flowchart of another method for intelligent diagnosis and treatment disclosed in the embodiment of the present invention;

Fig. 3 is a schematic flowchart of another method for intelligent diagnosis and treatment disclosed in the embodiment of the present invention;

Fig. 4 is a schematic diagram of the principle of an intelligent diagnosis and treatment system disclosed in an embodiment of the present invention;

Fig. 5 is a schematic structural diagram of an intelligent diagnosis and treatment device disclosed in an embodiment of the present invention.

Detailed ways

For better understanding and implementation, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention. rather than all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

The terms "comprising" and "having" and any variations thereof in the embodiments of the present invention are intended to cover a non-exclusive inclusion, for example, a process, method, system, product or device comprising a series of steps or modules is not necessarily limited to expressly Instead, other steps or modules not explicitly listed or inherent to the process, method, product or apparatus may be included.

The embodiment of the invention discloses a method for intelligent diagnosis and treatment and an intelligent diagnosis and treatment system, which can significantly improve the efficiency of doctors in diagnosing diseases and the quality of medical care, optimize the medical care process, and improve the efficiency of nursing work.

Embodiment one

Please refer to FIG. 1 . FIG. 1 is a schematic flowchart of a method for intelligent diagnosis and treatment disclosed in an embodiment of the present invention. Wherein, the method described in FIG. 1 can be applied to a medical networking system. Optionally, the medical networking system can be a local area network system used by a hospital, or a customized system used by a family doctor, which is not limited in the embodiment of the present invention. As shown in Figure 1, the method for intelligent diagnosis and treatment may include the following steps:

101. In response to an input instruction, acquire the diagnosis and treatment parameters and personal information corresponding to the input instruction.

Among them, the diagnosis and treatment parameters include index parameters such as blood pressure detection value, blood sugar detection value, and hemoglobin detection value. It should be noted that the present invention does not limit the number of diagnosis parameters. Generally, only by entering a single diagnosis and treatment parameter. The following steps can be performed. Personal information includes patient name, gender, age, hospital number, etc.

Optionally, as a preferred implementation, personal information can be collected manually by inputting instructions, or it can be imported directly by synchronizing with the hospital system. For the imported personal information, that is, patients who have been admitted to the hospital before, they can be directly extracted .

102. Generate diagnosis and treatment information according to diagnosis and treatment parameters and personal information.

Firstly, historical clinical information and/or current clinical information associated with personal information is obtained. For those who have been registered in the medical system, the historical clinical information associated with personal information can be obtained directly through the medical system, that is, the personal information is input into the medical system, and the patient's past clinical information will be obtained. For patients registered in the medical system for the first time, doctors will conduct inquiries with them and manually record the current clinical information of the patients. For patients with new symptoms, historical clinical information and current clinical information associated with personal information can be obtained at the same time, so that the obtained diagnosis and treatment information is more accurate.

Further, the diagnosis and treatment parameters are screened for correlation between the acquired historical clinical information and current clinical information to generate clinical information, wherein the correlation screening refers to the acquired diagnosis and treatment parameters, such as blood pressure value, blood sugar value and historical clinical information. Information related to the diagnosis and treatment parameters included in the information and current clinical information, for example, the diagnosis and treatment parameters contained in the input instruction are blood glucose value 33.0mmol/L, and the patient’s diagnosis and treatment parameters are screened out from the historical clinical information and current clinical information. The fluctuation range of the blood sugar level or the symptoms related to the fluctuation of the blood sugar level are extracted as clinical information.

Further, diagnosis and treatment information is automatically generated according to diagnosis rules and clinical information. Among them, the diagnosis rules include: assigning multiple disease categories with mapping relationship to each branch system; assigning clinical information with mapping relationship to each disease name of the disease category; assigning diagnosis and treatment information with mapping relationship to clinical information. The diagnostic rules can be implemented as a knowledge base for medical staff to learn.

The diagnostic rules can refer to the following implementation methods:

With different branch systems as the main unit, it extends downward to each branch in a tree diagram. The branch system includes: one or more combination of respiratory system, digestive system, circulatory system, endocrine system, etc.

Taking the circulatory system as an example, it corresponds to multiple disease categories, such as hypertension, coronary heart disease, acute cerebrovascular disease, heart failure, arrhythmia, rheumatic heart disease and other one or more combinations. For different disease categories, there are different forms of clinical information. Taking heart failure as an example, the clinical information includes fatigue, significantly reduced exercise tolerance, exertional dyspnea, paroxysmal nocturnal dyspnea, orthopnea, wheezing, Irritability, frequent coughing and expectoration of a large amount of pink foamy sputum, etc. Different clinical information is allocated with different diagnosis and treatment information. In this embodiment, in order to overcome the intelligent medical system that only has a single doctor's face-to-face consultation in the prior art, and there is no professional guidance for nursing staff, the diagnosis and treatment information It consists of two parts, including the first diagnosis and treatment content and the second diagnosis and treatment content.

Optionally, the first diagnosis and treatment content includes a combination of one or more of disease names, treatment principles, and treatment methods; the second diagnosis and treatment content includes a combination of one or more of disease names, nursing measures, and nursing precautions.

Exemplarily, the first diagnosis and treatment content included in the diagnosis and treatment information for the diagnosis of diabetic ketoacidosis according to the above clinical information and diagnosis rules is:

Disease name: Diabetic ketoacidosis

Treatment principles: correct water and electrolyte imbalance, correct acidosis, supplement insulin to promote glucose utilization, and find and remove stress factors that induce ketoacidosis.

Treatment method: In principle, rehydration should be fast first and then slow. When the blood sugar is greater than 16.7 mmol/L, use normal saline plus insulin, intravenous infusion at a rate of 500-1000 ml per hour; monitor blood sugar regularly, when the blood sugar is 13.9 mmol/L, it can be changed to glucose solution plus insulin intravenously Drip, slow down. When the blood pH value is 7.0 or accompanied by hyperkalemia, alkaline drugs should be given, preferably sodium bicarbonate solution. Do not add too much, and the speed should not be too fast. Insulin should not be placed in alkaline solution to avoid drug failure.

Others: Symptomatic treatment and elimination of incentives.

The content of the second diagnosis and treatment is:

Disease name: Diabetic ketoacidosis

Nursing measures:

1. Absolute bed rest, should cooperate with rescue treatment immediately.

2. Quickly establish venous access, correct water, electrolyte and acid-base balance disorders, and correct symptoms of ketosis.

3. Follow the doctor's advice to use regular insulin. When applying small doses of insulin, the suction dose should be correct to reduce the occurrence of hypoglycemia, hypokalemia, and cerebral edema.

4. Assist in the treatment of induced diseases and complications, closely observe vital signs, consciousness, and pupils (see coma nursing routine), and assist in the measurement and recording of blood sugar.

5. Diet care fasting, after the symptoms are relieved, change to a diabetic semi-liquid or diabetic diet

6. To prevent infection, oral and skin care must be taken, and the skin should be kept clean to prevent bedsores and secondary infections. Female patients should keep their genitals clean

7. Nursing of neuropathy, controlling diabetes, applying a large amount of vitamin B for local massage and physical therapy, and those who lose skin sensation should pay attention to prevent damage.

As a preferred implementation, after the diagnosis and treatment information is automatically generated according to the diagnosis rules and clinical information, other diagnosis information is also generated by screening according to the personal information. Exemplarily, the patient's blood sugar is too high. According to the blood sugar value of a single input diagnosis and treatment parameter, the name of the disease in the diagnosis information includes diabetes (several types of diabetes), abnormal glucose tolerance, hyperthyroidism, etc., but if combined with the patient If the personal information is female and pregnant at the same time, then further screening will be carried out according to the diagnostic rules to determine that the diagnosis and treatment information is gestational diabetes. If the patient is male, exclude the diagnosis of gestational diabetes and consider other diagnostic information instead. As a result, the determined diagnosis and treatment information can be made more accurate, which is conducive to the learning of interns and the like.

103. In response to the diagnosis instruction and/or the nursing instruction, obtain the matching first diagnosis and treatment content and/or the second diagnosis and treatment content from the diagnosis and treatment information, and output.

After obtaining the diagnosis and treatment information, you can set two interactive button options "medicine" and "nursing" after the name of the diagnosed disease, and doctors or nurses can choose by clicking on the display screen or voice interaction. When the "medicine" option is selected, a diagnosis instruction will be formed. After receiving this diagnosis instruction, the first diagnosis and treatment content including the disease name, treatment principle, treatment method, etc. can be obtained.

Optionally, when the "Nursing" option is selected, a nursing instruction will be formed. After receiving this nursing instruction, the second diagnosis and treatment content including the name of the disease, nursing measures, and nursing precautions can be obtained.

Optionally, when the "medicine" and "nursing" options are selected at the same time, the first diagnosis and treatment content including disease name, treatment principle, treatment method, etc. and the second diagnosis and treatment content including disease name, nursing measures, and nursing precautions will be obtained .

According to the method for intelligent diagnosis and treatment provided in this embodiment, clinical guidance can be provided for doctors and nurses, and professional guidance can also be provided for nursing staff. Only through a single diagnosis and treatment parameter, combined with the actual clinical situation of the patient, useful diagnosis and treatment information can be intelligently screened for the two-way selection of clinical diagnosis and clinical care, which can significantly improve the efficiency of doctors' diagnosis of diseases and the quality of medical care. Medical care process, improve nursing work efficiency.

Embodiment two

Please refer to FIG. 2 . FIG. 2 is a schematic flowchart of a method for intelligent diagnosis and treatment disclosed in an embodiment of the present invention. Wherein, the method described in FIG. 2 can be applied to a medical networking system. Optionally, the medical networking system can be a local area network system used by a hospital, or a customized system used by a family doctor, which is not limited in the embodiment of the present invention. As shown in Figure 2, the method for intelligent diagnosis and treatment may include the following steps:

201. In response to an input instruction, acquire personal information corresponding to the input instruction.

Among them, personal information includes patient name, gender, age, hospital number, etc.

Optionally, as a preferred implementation, personal information can be collected manually by inputting instructions, or it can be imported directly by synchronizing with the hospital system. For the imported personal information, that is, patients who have been admitted to the hospital before, they can be directly extracted .

202. Output a plurality of relevant clinical information according to the diagnostic rules and historical clinical information. In this embodiment, the patient has been registered in the medical system by default, and the historical clinical information associated with the personal information can be obtained directly through the medical system. The clinical information is the historical clinical information.

Among them, the diagnosis rules include: assigning multiple disease categories with mapping relationship to each branch system; assigning clinical information with mapping relationship to each disease name of the disease category; assigning diagnosis and treatment information with mapping relationship to clinical information. The diagnostic rules can be implemented as a knowledge base for medical staff to learn.

The diagnostic rules can refer to the following implementation methods:

With different branch systems as the main unit, it extends downward to each branch in a tree diagram. The branch system includes: one or more combination of respiratory system, digestive system, circulatory system, endocrine system, etc.

Taking the circulatory system as an example, it corresponds to multiple disease categories, such as hypertension, coronary heart disease, acute cerebrovascular disease, heart failure, arrhythmia, rheumatic heart disease and other one or more combinations. For different disease categories, there are different forms of clinical information. Taking heart failure as an example, the clinical information includes fatigue, significantly reduced exercise tolerance, exertional dyspnea, paroxysmal nocturnal dyspnea, orthopnea, wheezing, Irritability, frequent coughing and expectoration of a large amount of pink foamy sputum, etc. Different clinical information is allocated with different diagnosis and treatment information. In this embodiment, in order to overcome the intelligent medical system that only has a single doctor's face-to-face consultation in the prior art, and there is no professional guidance for nursing staff, the diagnosis and treatment information It consists of two parts, including the first diagnosis and treatment content and the second diagnosis and treatment content.

According to the historical clinical information of the patient, the relevant clinical manifestations can be obtained correspondingly, and a variety of clinical manifestations are provided for users to choose in the form of pop-up windows.

203. Obtain the determined clinical information to generate diagnosis and treatment information.

When the user selects certain clinical information among various clinical manifestations, more accurate diagnosis and treatment information will be generated based on the certain clinical information and diagnostic rules.

For example, when the disease name obtained according to historical clinical information and diagnostic rules is diabetes, clinical information such as polydipsia, polyphagia, polyuria, weight loss, dry mouth, and blood sugar fluctuation range will automatically pop up for users to choose. Users (doctors, nurses) select polydipsia, polyphagia, and polyuria based on the patient's description or observation of the patient, and then check these three clinical manifestations, then they will directly obtain the diagnosis and treatment that is more in line with the patient's current disease state information.

204. In response to the diagnosis instruction and/or the nursing instruction, obtain the matching first diagnosis and treatment content and/or the second diagnosis and treatment content from the diagnosis and treatment information, and output. After obtaining the diagnosis and treatment information, you can set two interactive button options "medicine" and "nursing" after the name of the diagnosed disease, and doctors or nurses can choose by clicking on the display screen or voice interaction. When the "medicine" option is selected, a diagnosis instruction will be formed. After receiving this diagnosis instruction, the first diagnosis and treatment content including the disease name, treatment principle, treatment method, etc. can be obtained.

Optionally, when the "Nursing" option is selected, a nursing instruction will be formed. After receiving this nursing instruction, the second diagnosis and treatment content including the name of the disease, nursing measures, and nursing precautions can be obtained.

Optionally, when the "medicine" and "nursing" options are selected at the same time, the first diagnosis and treatment content including disease name, treatment principle, treatment method, etc. and the second diagnosis and treatment content including disease name, nursing measures, and nursing precautions will be obtained .

According to the method for intelligent diagnosis and treatment provided in this embodiment, clinical guidance can be provided for doctors and nurses, and professional guidance can also be provided for nursing staff. Only through a single diagnosis and treatment parameter, combined with the actual clinical situation of the patient, useful diagnosis and treatment information can be intelligently screened for the two-way selection of clinical diagnosis and clinical care, which can significantly improve the efficiency of doctors' diagnosis of diseases and the quality of medical care. Medical care process, improve nursing work efficiency.

Embodiment Three

Please refer to FIG. 3 . FIG. 3 is a schematic flowchart of a method for intelligent diagnosis and treatment disclosed in an embodiment of the present invention. Wherein, the method described in FIG. 3 can be applied to a medical networking system. Optionally, the medical networking system can be a local area network system used by a hospital, or a customized system used by a family doctor, which is not limited in the embodiment of the present invention. As shown in Figure 3, the method for intelligent diagnosis and treatment may include the following steps:

301. In response to an input instruction, acquire personal information corresponding to the input instruction.

Among them, personal information includes patient name, gender, age, hospital number, etc.

Optionally, as a preferred implementation, personal information can be collected manually by inputting instructions, or it can be imported directly by synchronizing with the hospital system. For the imported personal information, that is, patients who have been admitted to the hospital before, they can be directly extracted .

302. Output multiple relevant disease categories according to the diagnostic rules and current clinical information.

Among them, the diagnosis rules include: assigning multiple disease categories with mapping relationship to each branch system; assigning clinical information with mapping relationship to each disease name of the disease category; assigning diagnosis and treatment information with mapping relationship to clinical information. The diagnostic rules can be implemented as a knowledge base for medical staff to learn.

The diagnostic rules can refer to the following implementation methods:

With different branch systems as the main unit, it extends downward to each branch in a tree diagram. The branch system includes: one or more combination of respiratory system, digestive system, circulatory system, endocrine system, etc.

Taking the circulatory system as an example, it corresponds to multiple disease categories, such as hypertension, coronary heart disease, acute cerebrovascular disease, heart failure, arrhythmia, rheumatic heart disease and other one or more combinations. For different disease categories, there are different forms of clinical information. Taking heart failure as an example, the clinical information includes fatigue, significantly reduced exercise tolerance, exertional dyspnea, paroxysmal nocturnal dyspnea, orthopnea, wheezing, Irritability, frequent coughing and expectoration of a large amount of pink foamy sputum, etc. Different clinical information is allocated with different diagnosis and treatment information. In this embodiment, in order to overcome the intelligent medical system that only has a single doctor's face-to-face consultation in the prior art, and there is no professional guidance for nursing staff, the diagnosis and treatment information It consists of two parts, including the first diagnosis and treatment content and the second diagnosis and treatment content.

For patients registered in the medical system for the first time, the doctor will inquire with them and manually record the current clinical information of the patient, such as polydipsia, polyphagia, weight loss and other symptoms, then the initial diagnosis of diabetes can be prompted according to the diagnostic rules. Hyperthyroidism and other related disease categories.

303. Screen a plurality of relevant disease categories according to historical clinical information, and generate a determined disease category output. This historical clinical information can call the patient's records in the medical system. When combined with more detailed recent historical clinical information, the scope of diagnosis can be narrowed down to generate the final disease category.

304. Obtain corresponding diagnosis and treatment information according to the determined disease category and diagnosis rules.

305. In response to the diagnosis instruction and/or the nursing instruction, obtain the matching first diagnosis and treatment content and/or the second diagnosis and treatment content from the diagnosis and treatment information, and output. After obtaining the diagnosis and treatment information, you can set two interactive button options "medicine" and "nursing" after the name of the diagnosed disease, and doctors or nurses can choose by clicking on the display screen or voice interaction. When the "medicine" option is selected, a diagnosis instruction will be formed. After receiving this diagnosis instruction, the first diagnosis and treatment content including the disease name, treatment principle, treatment method, etc. can be obtained.

Optionally, when the "Nursing" option is selected, a nursing instruction will be formed. After receiving this nursing instruction, the second diagnosis and treatment content including the name of the disease, nursing measures, and nursing precautions can be obtained.

Optionally, when the "medicine" and "nursing" options are selected at the same time, the first diagnosis and treatment content including disease name, treatment principle, treatment method, etc. and the second diagnosis and treatment content including disease name, nursing measures, and nursing precautions will be obtained .

According to the method for intelligent diagnosis and treatment provided in this embodiment, clinical guidance can be provided for doctors and nurses, and professional guidance can also be provided for nursing staff. Only through a single diagnosis and treatment parameter, combined with the actual clinical situation of the patient, useful diagnosis and treatment information can be intelligently screened for the two-way selection of clinical diagnosis and clinical care, which can significantly improve the efficiency of doctors' diagnosis of diseases and the quality of medical care. Medical care process, improve nursing work efficiency.

Embodiment four

Please refer to FIG. 4 . FIG. 4 is a schematic diagram of the principle of an intelligent diagnosis and treatment system disclosed in an embodiment of the present invention. in. As shown in Figure 4, the intelligent diagnosis and treatment system includes:

The information obtaining module 401 is configured to obtain the medical parameters and personal information corresponding to the input instruction in response to the input instruction.

The processing module 402 is configured to generate diagnosis and treatment information according to diagnosis and treatment parameters and personal information.

The display module 403 is configured to, in response to the diagnosis instruction and/or the nursing instruction, obtain and output the matched first diagnosis and treatment content and/or the second diagnosis and treatment content in the diagnosis and treatment information.

As an optional implementation, in the information acquisition module 401, the personal information includes the patient's name, gender, age, hospital number, etc. The collection method of the personal information can be entered manually by inputting instructions, or can be imported directly by synchronizing with the hospital system. For the imported personal information, that is, the previously admitted patients, it can be directly extracted.

Further, the processing module includes 402: an acquisition unit 4021, configured to acquire historical clinical information and/or current clinical information associated with personal information. This module is implemented as follows: For those who have registered in the medical system, the historical clinical information associated with personal information can be directly obtained through the medical system, that is, the personal information is input into the medical system, and the patient's previous clinical information will be obtained. information. For patients registered in the medical system for the first time, doctors will conduct inquiries with them and manually record the current clinical information of the patients. For patients with new symptoms, historical clinical information and current clinical information associated with personal information can be obtained at the same time, so that the obtained diagnosis and treatment information is more accurate.

The screening unit 4022 is configured to perform correlation screening of diagnosis and treatment parameters in historical clinical information and/or current clinical information to generate clinical information. This module is implemented as: performing correlation screening of the acquired historical clinical information and current clinical information on the diagnosis and treatment parameters to generate clinical information, wherein the correlation screening refers to the acquired diagnosis and treatment parameters, such as blood pressure value, blood sugar value and The information related to the diagnosis and treatment parameters contained in the historical clinical information and current clinical information is screened. The fluctuating range of the blood sugar level or the symptoms related to the fluctuating blood sugar level are extracted as clinical information.

A generating unit 4023, configured to generate diagnosis and treatment information according to diagnosis rules and clinical information.

Among them, the diagnosis rules include: assigning multiple disease categories with mapping relationship to each branch system; assigning clinical information with mapping relationship to each disease name of the disease category; assigning diagnosis and treatment information with mapping relationship to clinical information. The diagnostic rules can be implemented as a knowledge base for medical staff to learn.

The diagnostic rules can refer to the following implementation methods:

With different branch systems as the main unit, it extends downward to each branch in a tree diagram. The branch system includes: one or more combination of respiratory system, digestive system, circulatory system, endocrine system, etc.

Taking the circulatory system as an example, it corresponds to multiple disease categories, such as hypertension, coronary heart disease, acute cerebrovascular disease, heart failure, arrhythmia, rheumatic heart disease and other one or more combinations. For different disease categories, there are different forms of clinical information. Taking heart failure as an example, the clinical information includes fatigue, significantly reduced exercise tolerance, exertional dyspnea, paroxysmal nocturnal dyspnea, orthopnea, wheezing, Irritability, frequent coughing and expectoration of a large amount of pink foamy sputum, etc. Different clinical information is allocated with different diagnosis and treatment information. In this embodiment, in order to overcome the intelligent medical system that only has a single doctor's face-to-face consultation in the prior art, and there is no professional guidance for nursing staff, the diagnosis and treatment information It consists of two parts, including the first diagnosis and treatment content and the second diagnosis and treatment content.

Optionally, the first diagnosis and treatment content includes a combination of one or more of disease names, treatment principles, and treatment methods; the second diagnosis and treatment content includes a combination of one or more of disease names, nursing measures, and nursing precautions.

Exemplarily, the first diagnosis and treatment content included in the diagnosis and treatment information for the diagnosis of diabetic ketoacidosis according to the above-mentioned clinical information and diagnosis rules is:

Disease name: Diabetic ketoacidosis

Treatment principles: correct water and electrolyte imbalance, correct acidosis, supplement insulin to promote glucose utilization, and find and remove stress factors that induce ketoacidosis.

Treatment method: In principle, rehydration should be fast first and then slow. When the blood sugar is greater than 16.7 mmol/L, use normal saline plus insulin, intravenous infusion at a rate of 500-1000 ml per hour; monitor blood sugar regularly, when the blood sugar is 13.9 mmol/L, it can be changed to glucose solution plus insulin intravenously Drip, slow down. When the blood pH value is 7.0 or accompanied by hyperkalemia, alkaline drugs should be given, preferably sodium bicarbonate solution. Do not add too much, and the speed should not be too fast. Insulin should not be placed in alkaline solution to avoid drug failure.

Others: Symptomatic treatment and elimination of incentives.

The content of the second diagnosis and treatment is:

Disease name: Diabetic ketoacidosis

Nursing measures:

1. Absolute bed rest, should cooperate with rescue treatment immediately.

2. Quickly establish venous access, correct water, electrolyte and acid-base balance disorders, and correct symptoms of ketosis.

3. Follow the doctor's advice to use regular insulin. When applying small doses of insulin, the suction dose should be correct to reduce the occurrence of hypoglycemia, hypokalemia, and cerebral edema.

4. Assist in the treatment of induced diseases and complications, closely observe vital signs, consciousness, and pupils (see coma nursing routine), and assist in the measurement and recording of blood sugar.

5. Diet care fasting, after the symptoms are relieved, change to a diabetic semi-liquid or diabetic diet

6. To prevent infection, oral and skin care must be taken, and the skin should be kept clean to prevent bedsores and secondary infections. Female patients should keep their genitals clean

7. Nursing of neuropathy, controlling diabetes, applying a large amount of vitamin B for local massage and physical therapy, and those who lose skin sensation should pay attention to prevent damage.

As a preferred implementation, after the diagnosis and treatment information is automatically generated according to the diagnosis rules and clinical information, other diagnosis information is also generated by screening according to the personal information. Exemplarily, the patient's blood sugar is too high. According to the blood sugar value of a single input diagnosis and treatment parameter, the name of the disease in the diagnosis information includes diabetes (several types of diabetes), abnormal glucose tolerance, hyperthyroidism, etc., but if combined with the patient If the personal information is female and pregnant at the same time, then further screening will be carried out according to the diagnostic rules to determine that the diagnosis and treatment information is gestational diabetes. If the patient is male, exclude the diagnosis of gestational diabetes and consider other diagnostic information instead. As a result, the determined diagnosis and treatment information can be made more accurate, which is conducive to the learning of interns and the like.

According to the system provided in this embodiment, clinical guidance can be provided for medical care personnel and professional guidance can also be provided for nursing staff. Only through a single diagnosis and treatment parameter, combined with the actual clinical situation of the patient, useful diagnosis and treatment information can be intelligently screened for the two-way selection of clinical diagnosis and clinical care, which can significantly improve the efficiency of doctors' diagnosis of diseases and the quality of medical care. Medical care process, improve nursing work efficiency.

Embodiment five

Please refer to FIG. 5 . FIG. 5 is a schematic structural diagram of an intelligent diagnosis and treatment device disclosed in an embodiment of the present invention. Wherein, as shown in Figure 5, the device may include:

A memory 501 storing executable program codes;

a processor 502 coupled to the memory 501;

The processor 502 invokes the executable program code stored in the memory 501 to execute the method for intelligent diagnosis and treatment described in any one of Embodiment 1 or Embodiment 3.

Embodiment six

The embodiment of the present invention discloses a computer-readable storage medium, which stores a computer program for electronic data exchange, wherein the computer program enables the computer to execute the method for intelligent diagnosis and treatment described in any one of Embodiment 1 or Embodiment 3. Methods.

Embodiment seven

The embodiment of the present invention discloses a computer program product. The computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable the computer to execute the computer program described in Embodiment 1 or Embodiment 3. The described method for intelligent diagnosis and treatment.

The above-described embodiments are only illustrative, and the modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in One place, or it can be distributed to multiple network modules. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. It can be understood and implemented by those skilled in the art without any creative effort.

Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation manner can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware. Based on this understanding, the above-mentioned technical solution essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), programmable read-only memory (Programmable Read-only Memory, PROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, EPROM) , One-time Programmable Read-Only Memory (OTPROM), Electronically Erasable Programmable Read-Only Memory (EEPROM), Compact Disc Read-Only Memory , CD-ROM) or other optical disk storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

Finally, it should be noted that: a method for intelligent diagnosis and treatment and an intelligent diagnosis and treatment system disclosed in the embodiments of the present invention are only preferred embodiments of the present invention, and are only used to illustrate the technical solutions of the present invention, not to Its limitations; although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that it can still modify the technical solutions described in the aforementioned embodiments, or perform equivalents to some of the technical features Replacement; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims (6)

1. A method for intelligent medical treatment, the method being used in a medical networking system, the method comprising:

responding to an input instruction, and acquiring diagnosis and treatment parameters and personal information corresponding to the input instruction;

generating diagnosis and treatment information according to the diagnosis and treatment parameters and the personal information, wherein the method comprises the following steps: acquiring historical clinical information and/or current clinical information associated with the personal information; performing correlation screening on the diagnosis and treatment parameters in the historical clinical information and/or the current clinical information to generate clinical information; generating diagnosis and treatment information according to the diagnosis rules and the clinical information; wherein the diagnostic rule includes: distributing a plurality of disease categories with mapping relations for each branch system; assigning clinical information with a mapping relation to each disease name of the disease category; distributing diagnosis and treatment information with a mapping relation to the clinical information;

responding to diagnosis instructions and/or nursing instructions formed by the selection of doctors and/or nursing staff, and acquiring matched first diagnosis and treatment contents and/or second diagnosis and treatment contents output from the diagnosis and treatment information;

wherein the first diagnosis and treatment content is one or a combination of more of a disease name, a treatment principle and a treatment method corresponding to the diagnosis instruction;

the second diagnosis and treatment content is one or a combination of a plurality of symptoms names, nursing measures and nursing notes corresponding to the nursing instructions.

2. The method for intelligent diagnosis and treatment according to claim 1, further comprising:

outputting a plurality of relevant clinical information according to the diagnostic rules and the historical clinical information;

and acquiring the determined clinical information to generate diagnosis and treatment information.

3. The method for intelligent diagnosis and treatment according to claim 2, characterized in that the method further comprises:

outputting a plurality of related condition categories according to the diagnostic rules and the current clinical information;

screening the plurality of related disorder categories according to the historical clinical information to generate a determined disorder category;

and acquiring corresponding diagnosis and treatment information according to the determined disease category and the diagnosis rules.

4. A system for intelligent diagnosis and treatment, the system comprising:

the information acquisition module is used for responding to the input instruction and acquiring diagnosis and treatment parameters and personal information corresponding to the input instruction;

the processing module is used for generating diagnosis and treatment information according to the diagnosis and treatment parameters and the personal information, and comprises the following steps: an acquisition unit configured to acquire historical clinical information and/or current clinical information associated with the personal information; the screening unit is used for carrying out correlation screening on the diagnosis and treatment parameters in the historical clinical information and/or the current clinical information to generate clinical information; the generation unit is used for generating diagnosis and treatment information according to the diagnosis rules and the clinical information; wherein the diagnostic rule includes: distributing a plurality of disease categories with mapping relations for each branch system; assigning clinical information with a mapping relation to each disease name of the disease category; distributing diagnosis and treatment information with a mapping relation to the clinical information;

the display module is used for responding to diagnosis instructions and/or nursing instructions formed by the selection of doctors and/or nursing staff and acquiring matched first diagnosis and treatment contents and/or second diagnosis and treatment contents from the diagnosis and treatment information;

wherein the first diagnosis and treatment content is one or a combination of more of a disease name, a treatment principle and a treatment method corresponding to the diagnosis instruction;

the second diagnosis and treatment content is one or a combination of a plurality of symptoms names, nursing measures and nursing notes corresponding to the nursing instructions.

5. An intelligent diagnostic device, the device comprising:

a memory storing executable program code;

a processor coupled to the memory;

the processor invokes the executable program code stored in the memory to perform the method for intelligent medical treatment as claimed in any one of claims 1-3.

6. Computer storage medium, characterized in that it stores computer instructions for executing the method for intelligent diagnosis and treatment according to any one of claims 1-3 when called.