Patient cause tracing method and system based on encrypted data sharing platform

Abstract

The invention discloses a patient cause tracing method and system based on an encrypted data sharing platform in the technical field of health monitoring, and the method comprises the following steps: 1, building a patient cause database based on a sharing platform, and collecting different numbers and different death causes for statistical tabulation; 2, based on different numbers and different death reasons, searching root causes and death reasons, and distinguishing the root causes and the death reasons to obtain a cause chain; 3, checking the patient death medical certificate according to the cause chain, and determining and finding out the cause of patient death; 4, collecting medical history data, prenatal main symptoms and sign data of the patient according to the death report; and step 5, in combination with laboratory examination data of the patient in the treatment process before the patient is born, the patient cause-of-deduction method and system based on the encrypted data sharing platform are reasonable in structural design, can make a basis-based deduction cause according to the cause-of-deduction, and reduce the error rate.

Description

Technical Field

[0001] The present invention relates to the technical field of health monitoring, and in particular to a method and system for tracing the cause of death of a patient based on an encrypted data sharing platform. Background Art

[0002] If a patient dies while receiving treatment in the hospital, this situation needs to be dealt with promptly.

[0003] The current management systems are independent of each other, and there are many links from production to the use of medical platforms, with a high probability of errors. As a result, it is difficult to trace the cause of death of patients. It is impossible to verify the patient's medical history, main symptoms and physical signs before death, and it is impossible to make a more reliable inference based on the cause of death. For this reason, we propose a method and system for tracing the cause of death of patients based on an encrypted data sharing platform. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for tracing the cause of death of a patient based on an encrypted data sharing platform to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a method and system for tracing the cause of death of a patient based on an encrypted data sharing platform, comprising the following steps: Step 1: Establish a patient death cause database based on the shared platform, collect statistics of different numbers and causes of death; Step 2: Find the root cause of death and the cause of death based on different numbers and different causes of death, and distinguish the root cause of death from the cause of death to obtain the cause of death chain; Step 3: Check the patient's medical certificate of death according to the cause of death chain to determine the cause of death; Step 4: Collect the patient's medical history, main symptoms and physical signs according to the death report; Step 5: Combined with the patient's laboratory test data during treatment, the cause of death can be more reasonably inferred based on symptoms and signs.

[0006] Preferably, the sharing platform described in step one encrypts the target information in the database according to data encryption rules.

[0007] Preferably, the process of collecting different numbers and different causes of death in step 1 and selecting or determining the root cause of death based on the rules and methods of the cause of death is an application process of a series of rules and methods.

[0008] Preferably, when only one cause of death is recorded, that cause is used for cause-of-death tabulation. When more than one cause of death is recorded, the ICD allows the initiating cause to be replaced by more than one appropriate condition in order to express the underlying cause in the listing.

[0009] Preferably, the underlying cause of death and the cause of death; The root cause of death is the earliest external cause of disease, injury or poisoning found out based on the evolution of the patient's condition, which causes a series of subsequent diseases and ultimately leads to death.

[0010] Main cause of death: refers to the most serious disease that leads to the patient's death. The main cause of death belongs to the category of hospital medical record statistics and is relatively intuitive.

[0011] Preferably, the underlying cause of death is inferred through a cluster analysis model, which is to group the objects in the data set so that the objects in the same group are more similar than the objects in other groups. In the cause of death analysis, cluster analysis is used to identify death cases with similar characteristics, thereby helping to infer the underlying cause of death.

[0012] Preferably, the medical certificate of death of the patient, the cause of death filled in on the medical certificate of death is complex, has no causal connection with the direct cause of death, the disease or condition filled in has logical errors or doubts, and the investigation record is not clear and cannot be corrected or explained, the cause of death filled in on the report form of death at home is not sufficient to cause death or does not conform to epidemiological laws and characteristics, the items on the death report form are omitted, filled in incorrectly, the filled conditions are questionable, and those that should be within the scope of investigation but have not been investigated, all need to be reviewed.

[0013] Preferably, the diagnosis of a disease or the inference of the cause of death is mainly based on symptoms and signs, so the inference of the cause of death must be based on the symptoms of the deceased and their development process. The main symptoms and signs of the deceased during his lifetime are the basic data for inferring the cause of death, and are also the first-hand data to ensure the accuracy of the inference of the cause of death.

[0014] Including: platform database, establishing a patient cause of death database based on the shared platform, collecting statistics and tabulations of different numbers and causes of death; An information collection unit is used to collect the patient's medical history, main symptoms and physical signs during life; Data analysis unit, finding the underlying cause of death and the cause of death for different numbers and causes of death, and distinguishing the underlying cause of death from the cause of death; The data processing unit, combined with the patient's laboratory test data during treatment before his death, can make a more reliable inference on the cause of death based on symptoms and signs; The query terminal is used for the later diagnosis of similar diseases or inference of the cause of death, mainly based on symptoms and signs.

[0015] Compared with the prior art, the beneficial effects of the present invention are: the patient death cause tracing method and system based on the encrypted data sharing platform establishes a patient death cause database with encrypted data, collects statistics of different quantities and different causes of death, finds out the cause of the patient's death, and at the same time combines the patient's laboratory examination data during the treatment process before his death, and can make a more reliable inference of the cause of death in combination with symptoms and signs, and according to the diagnosis of the disease or the inference of the cause of death, combined with the patient's laboratory examination data during the treatment process before his death, can make a more reliable inference of the cause of death in combination with symptoms and signs, thereby being able to make a more reliable inference of the cause of death based on the cause of death and reduce the error rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A flow chart of a method for tracing the cause of death of a patient based on an encrypted data sharing platform provided in an embodiment of the present invention; Figure 2 A diagram of a patient cause of death tracing system based on an encrypted data sharing platform provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Embodiment 1

[0018] See also Figure 1 The present invention provides a technical solution: a method and system for tracing the cause of death of a patient based on an encrypted data sharing platform, comprising the following steps: Step 1: Establish a patient death cause database based on the shared platform, collect statistics of different numbers and causes of death; Step 2: Find the root cause of death and the cause of death based on different numbers and different causes of death, and distinguish the root cause of death from the cause of death to obtain the cause of death chain; Step 3: Check the patient's medical certificate of death according to the cause of death chain to determine the cause of death; Step 4: Collect the patient's medical history, main symptoms and physical signs according to the death report; Step 5: Combined with the patient's laboratory test data during treatment, the cause of death can be more reasonably inferred based on symptoms and signs.

[0019] The sharing platform described in step 1 encrypts the target information in the database according to the data encryption rules.

[0020] The process of collecting different numbers and different causes of death as described in step 1 and selecting or determining the underlying cause of death based on the rules and methods of the cause of death is the process of applying a series of rules and methods.

[0021] Provide accurate cause of death data. Through the national cause of death monitoring program, detailed information on the number of deaths and causes of death across the country can be obtained in a timely manner, providing accurate data support for disease prevention and control, and discovering changing trends in causes of death. Through long-term tracking and analysis of cause of death data, changing trends in causes of death can be discovered in a timely manner, providing a scientific basis for disease prevention and health planning, and guiding disease prevention and control measures. Through analysis of different causes of death, corresponding disease prevention and control measures can be formulated to improve the public health level.

[0022] When only one cause of death is recorded, this cause is used for cause-of-death tabulation. When more than one cause of death is recorded, the ICD allows the initiating cause to be replaced by more than one appropriate condition in order to express the underlying cause in the listing.

[0023] The underlying cause and cause of death as stated; The root cause of death is the earliest external cause of disease, injury or poisoning found out based on the evolution of the patient's condition, which causes a series of subsequent diseases and ultimately leads to death.

[0024] Main cause of death: refers to the most serious disease that leads to the patient's death. The main cause of death belongs to the category of hospital medical record statistics and is relatively intuitive.

[0025] The death cause chain described above: inferring the root cause of death through a cluster analysis model is to group objects in a data set so that objects in the same group are more similar than objects in other groups. In death cause analysis, cluster analysis is used to identify death cases with similar characteristics, thereby helping to infer the root cause of death.

[0026] Some basic steps used when using cluster analysis for cause of death analysis: 1. Data preprocessing: Clean data: remove or fill missing values ​​and handle outliers.

[0027] Standardization / Normalization: Due to different measurement units and magnitudes, the data needs to be converted to the same scale.

[0028] 2. Feature Selection: Determine which clinical characteristics are relevant to cause of death analysis, such as age, sex, medical history, symptoms, examination results, etc.

[0029] 3. Distance Metrics: A distance metric such as cosine similarity is selected to measure the similarity between samples.

[0030] Mathematical model and formula, the objective function (loss function) of the root cause of death can be expressed as: [J=sum_{i=1}^{k}sum_{xinS_i}||x-mu_i||^2] in: -(J) is the objective function of the underlying cause of death, which represents the sum of squares within a cluster of a certain disease (such as myocardial infarction).

[0031] -(k) is the number of clusters of a certain disease (e.g., myocardial infarction).

[0032] -(S_i) is the set of samples in the (i)th feature value (medical history, symptoms, examination results) cluster.

[0033] -(x) is a sample of a feature value (medical history, symptoms, test results) in (S_i).

[0034] -(mu_i) is the centroid of a certain disease (such as myocardial infarction) (cluster (S_i), calculated as: [mu_i=frac{1}{|S_i|}sum_{xinS_i}x] Steps to implement the clustering process: 1. Randomly select (k) feature value (medical history, symptoms, examination results) sample points as the initial centroid.

[0035] 2. Assign each sample point to the nearest centroid to form (k) disease category clusters.

[0036] 3. Recalculate the centroid of each disease (such as myocardial infarction) cluster.

[0037] 4. Repeat steps 2 and 3 until the centroid of a certain cause of death no longer changes or the predetermined number of iterations is reached.

[0038] The medical certificate of death of the patient mentioned above, the cause of death filled in on the medical certificate of death is complicated and has no causal relationship with the direct cause of death, the disease or situation filled in has logical errors or doubts, and the investigation record is not clear and cannot be corrected or explained; the cause of death filled in on the report form of death at home is not sufficient to cause death or does not conform to epidemiological laws and characteristics, the items on the death report form are omitted, filled in incorrectly, or the filled situations are questionable, and those that should be within the scope of investigation but have not been investigated, all need to be reviewed.

[0039] The diagnosis of disease or the inference of cause of death is mainly based on symptoms and signs, so the inference of cause of death must be based on the symptoms of the deceased and their development process. The main symptoms and signs of the deceased during his lifetime are the basic data for inferring the cause of death, and are also the first-hand data to ensure the accuracy of the inference of cause of death.

[0040] By establishing a patient cause of death database with encrypted data, statistics of different numbers and causes of death are collected to find out the causes of patient death. At the same time, combined with the patient's laboratory test data during the treatment process before his death, a more reliable inference of the cause of death can be made based on symptoms and signs. Based on the diagnosis of the disease or the inference of the cause of death, combined with the patient's laboratory test data during the treatment process before his death, a more reliable inference of the cause of death can be made based on symptoms and signs, thereby reducing the error rate. Embodiment 2

[0041] See also Figure 2 The present invention provides a technical solution: a method and system for tracing the cause of death of a patient based on an encrypted data sharing platform, comprising: Platform database, based on the shared platform, establishes a patient death cause database, collects statistics of different numbers and causes of death; An information collection unit is used to collect the patient's medical history, main symptoms and physical signs during life; Data analysis unit, finding the underlying cause of death and the cause of death for different numbers and causes of death, and distinguishing the underlying cause of death from the cause of death; The data processing unit, combined with the patient's laboratory test data during treatment before his death, can make a more reliable inference on the cause of death based on symptoms and signs; The query terminal is used for the later diagnosis of similar diseases or inference of the cause of death, mainly based on symptoms and signs.

[0042] 1. First, health departments and civil affairs departments at all levels will formulate unified data collection standards to ensure the accuracy and consistency of data.

[0043] 2. The health department is responsible for collecting and organizing death data, while the civil affairs department provides basic information on the deceased population.

[0044] 3. After data collection and collation are completed, the data will be transmitted to the National Cause of Death Database and backed up and stored to ensure the security and integrity of the data.

[0045] 4. Data analysts use statistical and epidemiological methods based on existing data to analyze and study cause of death data.

[0046] 5. The analysis results will be compiled into a report and released to relevant departments and the public for reference and use.

[0047] 6. The data and conclusions in the report can also be used as a reference for formulating relevant disease prevention and control policies and measures.

[0048] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0049] Although the present invention has been described above with reference to the embodiments, various modifications may be made thereto and parts thereof may be replaced with equivalents without departing from the scope of the present invention. In particular, as long as there is no structural conflict, the various features in the embodiments disclosed by the present invention may be used in combination with each other in any manner, and the fact that these combinations are not exhaustively described in this specification is only for the sake of omitting space and saving resources. Therefore, the present invention is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

Claims

1. A method for tracing the cause of death of a patient based on an encrypted data sharing platform, characterized in that: The steps include: Step 1: Establish a patient cause of death database based on the shared platform, collect statistics of different numbers and causes of death; Step 2: Find the root cause of death and the cause of death based on different numbers and different causes of death, and distinguish the root cause of death from the cause of death to obtain the cause of death chain; Step 3: Check the patient's medical certificate of death according to the cause of death chain to determine the cause of death; Step 4: Collect the patient's medical history, main symptoms and physical signs according to the death report; Step 5: Combined with the patient's laboratory test data during treatment, the cause of death can be more reasonably inferred based on symptoms and signs.

2. According to claim 1, a method for tracing the cause of death of a patient based on an encrypted data sharing platform is characterized in that: The sharing platform described in step 1 encrypts the target information in the database according to the data encryption rules.

3. According to claim 1, a method for tracing the cause of death of a patient based on an encrypted data sharing platform is characterized in that: The process of collecting different numbers and different causes of death as described in step 1 and selecting or determining the underlying cause of death based on the rules and methods of the cause of death is the process of applying a series of rules and methods.

4. A method for tracing the cause of death of a patient based on an encrypted data sharing platform according to claim 3, characterized in that: When only one cause of death is recorded, this cause is used for cause-of-death tabulation. When more than one cause of death is recorded, the ICD allows the initiating cause to be replaced by more than one appropriate condition in order to express the underlying cause in the listing.

5. According to claim 1, a method for tracing the cause of death of a patient based on an encrypted data sharing platform is characterized in that: The underlying cause and cause of death as stated; The root cause of death is the earliest external cause of disease, injury or poisoning found out based on the evolution of the patient's condition, which causes a series of subsequent diseases and ultimately leads to death.

6. Main cause of death: refers to the most serious disease that leads to the patient's death. The main cause of death belongs to the category of hospital medical record statistics and is relatively intuitive.

7. According to claim 1, a method for tracing the cause of death of a patient based on an encrypted data sharing platform is characterized in that: Inferring the root cause of death through a cluster analysis model is to group the objects in the data set so that the objects in the same group are more similar than the objects in other groups. In cause of death analysis, cluster analysis is used to identify death cases with similar characteristics, thereby helping to infer the root cause of death.

8. According to claim 1, a method for tracing the cause of death of a patient based on an encrypted data sharing platform is characterized in that: The medical certificate of death of the patient mentioned above, the cause of death filled in on the medical certificate of death is complicated and has no causal relationship with the direct cause of death, the disease or situation filled in has logical errors or doubts, and the investigation record is not clear and cannot be corrected or explained; the cause of death filled in on the report form of death at home is not sufficient to cause death or does not conform to epidemiological laws and characteristics, the items on the death report form are omitted, filled in incorrectly, or the filled situations are questionable, and those that should be within the scope of investigation but have not been investigated, all need to be reviewed.

9. The method for tracing the cause of death of a patient based on an encrypted data sharing platform according to claim 1, characterized in that: The diagnosis of disease or the inference of cause of death is mainly based on symptoms and signs, so the inference of cause of death must be based on the symptoms of the deceased and their development process. The main symptoms and signs of the deceased during his lifetime are the basic data for inferring the cause of death, and are also the first-hand data to ensure the accuracy of the inference of cause of death.

10. A patient death cause tracing system based on an encrypted data sharing platform, characterized by: include: Platform database, based on the shared platform, establishes a patient death cause database, collects statistics of different numbers and causes of death; An information collection unit is used to collect the patient's medical history, main symptoms and physical signs during life; Data analysis unit, finding the underlying cause of death and the cause of death for different numbers and causes of death, and distinguishing the underlying cause of death from the cause of death; The data processing unit, combined with the patient's laboratory test data during treatment before his death, can make a more reliable inference on the cause of death based on symptoms and signs; The query terminal is used for the later diagnosis of similar diseases or inference of the cause of death, mainly based on symptoms and signs.

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