Special patient monitoring system

Abstract

The invention relates to the technical field of measurement for diagnosis, in particular to a special patient monitoring system which comprises a processor, the processor is at least in data connection with a patient attribute evaluation module and an external cause evaluation module, and the patient attribute evaluation module is in data connection with the external cause evaluation module. According to the system, effective monitoring of special patients is realized through the patient attribute evaluation module and the external cause evaluation module; meanwhile, data information in the patient attribute evaluation module and the external cause evaluation module is rapidly processed in combination with the interactive transfer module, rapid and accurate linkage processing of the patient data information is achieved, and finally the monitoring orderliness of special patients is greatly improved.

Description

Technical Field

[0001] The present application relates to the field of measurement technology for diagnostic purposes, and in particular to a special patient monitoring system. Background Art

[0002] Acute coronary syndrome (ACS) is a group of clinical syndromes with the pathological basis of rupture or invasion of coronary atherosclerotic plaques and subsequent complete or incomplete occlusive thrombosis, including acute ST-segment elevation myocardial infarction, acute non-ST-segment elevation myocardial infarction and unstable angina (UA). ACS is a common and serious cardiovascular disease and a serious type of coronary heart disease. It is common in the elderly, men and postmenopausal women, smokers, patients with hypertension, diabetes, hyperlipidemia, abdominal obesity and a family history of premature coronary heart disease. ACS patients often show symptoms such as paroxysmal chest pain and chest tightness, which can lead to arrhythmias, heart failure, and even sudden death, seriously affecting the patient's quality of life and life span. If appropriate treatment is taken in time or more systematic monitoring is carried out, the mortality rate can be greatly reduced, complications can be reduced, and the patient's prognosis can be improved. Summary of the invention

[0003] The inventors have found through research that the vast majority of ACS are the result of unstable coronary atherosclerotic plaques, and very few ACS are caused by non-atherosclerotic diseases (such as arteritis, trauma, dissection, thromboembolism, congenital abnormalities, or complications of cardiac interventional treatment). When there is a conflict between the blood supply of the coronary arteries and the blood demand of the myocardium, the coronary blood flow cannot meet the needs of myocardial metabolism, causing acute and temporary myocardial ischemia and hypoxia, angina pectoris may occur. Coronary atherosclerosis can cause stenosis of one or more blood vessels and insufficient myocardial blood supply. Once the blood supply is sharply reduced or interrupted, the myocardium will suffer from severe and persistent acute ischemia for more than 20 to 30 minutes, and acute myocardial infarction (AMI) may occur. Based on this, special monitoring of such patients is required in the early stages to effectively avoid more problems.

[0004] The purpose of this application is to provide a special patient monitoring system, which solves the technical problem that the prior art cannot provide a system for orderly monitoring of patients with coronary artery syndrome through a patient attribute evaluation module and an external factor evaluation module.

[0005] According to one aspect of the present application, a special patient monitoring system is provided, including a processor, wherein the processor is data-connected to at least a patient attribute assessment module and an external factor assessment module, and the patient attribute assessment module is data-connected to the external factor assessment module.

[0006] In some embodiments, the patient attribute assessment module is configured with at least a patient information registration unit, and the patient information registration unit includes at least the patient's name, the patient's hospitalization number, the patient's gender, and the patient's age.

[0007] In some embodiments, the patient attribute assessment module is configured with at least a patient attribute analysis unit, and the patient attribute analysis unit includes an acute coronary syndrome determination unit, an antiplatelet drug use unit, an anticoagulant drug use unit, a bleeding risk assessment unit, an atrial fibrillation analysis unit, a previous drug risk disease unit, and an allergy history unit.

[0008] In some embodiments, the acute coronary syndrome determination unit is configured with a risk scoring subunit, and the risk scoring subunit is configured with a Grace scoring system and a TIMI scoring system.

[0009] In some embodiments, the bleeding risk assessment unit is configured with a CRUSADE scoring system.

[0010] In some embodiments, the atrial fibrillation analysis unit is configured with a judgment subunit, and the judgment subunit data is connected to the CHADS2-VaSc scoring system and the HAS-BLED scoring system.

[0011] In some embodiments, the past drug risk disease unit is configured with a renal function assessment subunit and a liver function assessment subunit, and the renal function assessment subunit data is connected to an eGFR estimation system.

[0012] In some embodiments, the patient attribute assessment module is data-connected to an interactive mobilization module, and the interactive mobilization module is data-connected to the external factor assessment module.

[0013] In some embodiments, the interactive mobilization module is configured with a preprocessing unit and a data clustering unit data-connected to the preprocessing unit.

[0014] In some embodiments, the data clustering unit receives the data processed by the preprocessing unit and performs data classification of the same type, and a classification model is configured in the data clustering unit.

[0015] Compared with the prior art, the present application has the following advantages and beneficial effects: the system of the present application realizes effective monitoring of special patients through the patient attribute evaluation module and the external factor evaluation module; at the same time, the interactive mobilization module is combined to quickly process the data information in the patient attribute evaluation module and the external factor evaluation module, thereby realizing rapid and accurate linkage processing of patient data information, and ultimately greatly improving the orderliness of monitoring of special patients. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a schematic diagram of the system composition of the monitoring system of the present application. DETAILED DESCRIPTION

[0018] The following will be combined with the attached examples of the present application Figure 1 The technical solutions in the embodiments of the present application are described clearly and completely. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0019] Application Overview

[0020] Acute coronary syndrome is a common and serious cardiovascular disease and a severe type of coronary heart disease. It is common in the elderly, men and postmenopausal women, smokers, patients with hypertension, diabetes, hyperlipidemia, abdominal obesity and a family history of premature coronary heart disease. Patients with acute coronary syndrome often show symptoms such as paroxysmal chest pain and chest tightness, which can lead to arrhythmias, heart failure, and even sudden death, seriously affecting the patient's quality of life and life span.

[0021] Based on the foregoing, the present application proposes a special patient monitoring system, which can obtain the conditions of such patients and carry out orderly monitoring by comprehensively considering the patient's attributes and factors external to the patient himself, thereby solving the technical gap in the prior art that orderly monitoring of such patients cannot be achieved.

[0022] Example 1

[0023] The present embodiment provides a special patient monitoring system, including a processor. It can be understood that the processor of the present embodiment can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0024] The processor is at least data-connected to the patient attribute assessment module and the external factor assessment module, and the patient attribute assessment module is data-connected to the external factor assessment module. It should be noted that the data connection in this embodiment is wireless data transmission. Of course, in other possible situations, the wireless data transmission method can be replaced by wired data transmission.

[0025] In some possible implementations, the patient attribute evaluation module is configured with at least a patient information registration unit, and the patient information registration unit includes at least the patient's name, the patient's hospitalization number, the patient's gender, and the patient's age.

[0026] In some possible implementations, the patient attribute assessment module is at least configured with a patient attribute analysis unit, which includes an acute coronary syndrome determination unit, an antiplatelet drug use unit, an anticoagulant drug use unit, a bleeding risk assessment unit, an atrial fibrillation analysis unit, a previous drug risk disease unit, and an allergy history unit. In detail, the antiplatelet drug use unit will make single-drug, double-drug, and triple-drug selection judgments; the anticoagulant drug use unit will perform the selection of low molecular weight heparin, ordinary heparin, fondaparinux sodium, and bivalirudin; the allergy history unit will judge allergic drugs, where allergic drugs at least include penicillin, sulfonamide, iodine, etc. At the same time, the allergy history unit will evaluate the past unknown allergy history, unconfirmed allergy history, drug or substance allergy history, and reaction and severity.

[0027] In some possible implementations, the acute coronary syndrome determination unit is configured with a risk scoring subunit, and the risk scoring subunit is configured with a Grace scoring system and a TIMI scoring system. In detail, after the basic information of the patient is registered, an admission diagnosis will be performed, in which the first step is to determine whether the patient has an acute coronary syndrome, and if so, the Grace scoring system and the TIMI scoring system are called to score the patient.

[0028] In some possible implementations, the bleeding risk assessment unit is configured with a CRUSADE scoring system. The atrial fibrillation analysis unit is configured with a judgment subunit, and the judgment subunit data is connected to the CHADS2-VaSc scoring system and the HAS-BLED scoring system. The previous drug risk disease unit is configured with a renal function assessment subunit and a liver function assessment subunit, and the renal function assessment subunit data is connected to the estimated eGFR system. In addition, the previous drug risk disease unit is also configured with glaucoma and hyperthyroidism judgment subunits.

[0029] In addition, in some other possible implementations, the external factor assessment module includes at least a contrast agent risk assessment unit, a smoking assessment unit, a drinking assessment unit, and a previous drug use history assessment unit. It should be noted that the contrast agent risk assessment unit divides the risk into low, medium, high, and extremely high risk; the smoking assessment unit is configured with at least a smoking judgment subunit and a smoking cessation judgment subunit, wherein the smoking judgment subunit includes a patient smoking quantity judgment system, and the smoking cessation judgment subunit includes a patient smoking cessation willingness recording system. The drinking assessment unit is configured with at least a drinking judgment unit and a drinking cessation judgment unit, wherein the drinking judgment unit includes a patient alcohol volume assessment system, and the drinking cessation judgment unit includes a patient drinking cessation willingness registration system.

[0030] Example 2

[0031] The technical features in this embodiment are basically the same as the technical features described in Embodiment 1. The same technical features and technical solutions will not be repeated here. Only the differences between Embodiment 2 and Embodiment 1 are described here.

[0032] In this embodiment, the patient attribute assessment module data is connected to the interactive mobilization module, and the interactive mobilization module data is connected to the external factor assessment module. In detail, the patient attribute assessment module data is connected to the interactive mobilization module, and the interactive mobilization module data is connected to the external factor assessment module. When the patient confirms the relevant information in the patient attribute assessment module, the data in the possible external factor assessment module will be synchronously mobilized. For example, when the patient has acute coronary syndrome, needs dual antiplatelet drugs, needs to use low molecular weight liver anticoagulants, and has atrial fibrillation, the system will automatically match and select the possible patient conditions in the external factor assessment module through the interactive mobilization module. For example, if the aforementioned patient meets the requirements, the system may match the information of smoking more than 10 cigarettes per day, drinking and no intention to quit drinking. It can be understood that the addition of the interactive mobilization module can realize the pre-matching of patient information, prevent patients from lying or providing wrong information, resulting in deviations in subsequent monitoring, thereby seriously affecting the life and health of patients.

[0033] In some possible implementations, the interactive mobilization module is configured with a preprocessing unit and a data clustering unit connected to the preprocessing unit data. The data clustering unit receives the data processed by the preprocessing unit and performs data classification of the same type, and the data clustering unit is configured with a classification model. In detail, since the data entering the system has inconsistencies in format, etc., this problem can be effectively solved after data preprocessing. At the same time, the clustering unit is used to classify the same type of data, which can realize quick call in the later stage and provide monitoring efficiency for patients.

[0034] The above shows and describes the basic principles and main features of the present application and the advantages of the present application. For those skilled in the art, it is obvious that the present application is not limited to the details of the above exemplary embodiments, and the present application can be implemented in other specific forms without departing from the spirit or basic features of the present application. Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present application is defined by the attached claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present application. Any figure mark in the claims should not be regarded as limiting the claims involved.

[0035] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A special patient monitoring system, comprising a processor, characterized in that: The processor is at least data-connected to a patient attribute assessment module and an external factor assessment module, and the patient attribute assessment module is data-connected to the external factor assessment module.

2. The system according to claim 1, characterized in that The patient attribute evaluation module is at least provided with a patient information registration unit, and the patient information registration unit at least includes the patient's name, the patient's hospitalization number, the patient's gender and the patient's age.

3. The system according to claim 2, characterized in that The patient attribute assessment module is at least configured with a patient attribute analysis unit, and the patient attribute analysis unit includes an acute coronary syndrome determination unit, an antiplatelet drug use unit, an anticoagulant drug use unit, a bleeding risk assessment unit, an atrial fibrillation analysis unit, a previous drug risk disease unit, and an allergy history unit.

4. The system according to claim 3, characterized in that The acute coronary syndrome determination unit is provided with a risk scoring subunit, and the risk scoring subunit is provided with a Grace scoring system and a TIMI scoring system.

5. The system according to claim 3, characterized in that The bleeding risk assessment unit is equipped with a CRUSADE scoring system.

6. The system according to claim 3, characterized in that The atrial fibrillation analysis unit is provided with a judgment subunit, and the judgment subunit data is connected to the CHADS2-VaSc scoring system and the HAS-BLED scoring system.

7. The system according to claim 3, characterized in that The past drug risk disease unit is configured with a renal function assessment subunit and a liver function assessment subunit, and the renal function assessment subunit data is connected to an eGFR estimation system.

8. The system according to claim 1, characterized in that The patient attribute assessment module is data-connected with an interactive mobilization module, and the interactive mobilization module is data-connected with the external factor assessment module.

9. The system according to claim 8, characterized in that The interactive mobilization module is configured with a preprocessing unit and a data clustering unit data-connected with the preprocessing unit.

10. The system according to claim 9, characterized in that The data clustering unit receives the data processed by the preprocessing unit and performs classification of data of the same type. A classification model is configured in the data clustering unit.

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