CN115274091A - Medical information analysis method and system - Google Patents
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Abstract
The invention discloses a medical information analysis method and a system, which relate to the technical field of medical data analysis, and the method comprises the steps of extracting key words in medical inspection reports, finding out matched historical medical inspection reports when target inspection items with abnormal parameters exist, carrying out quantization processing on multiple inspection parameters in the reports to obtain first multidimensional vectors, carrying out quantization processing on the inspection parameters in all the historical medical inspection reports to obtain multiple second multidimensional vectors, clustering the second multidimensional vectors, calculating the distance between the first multidimensional vectors and the center of each cluster, calculating the target multidimensional vectors which are closest to the first multidimensional vectors in all the clusters, sequencing the historical medical inspection reports corresponding to the target multidimensional vectors to obtain a report sequence, and obtaining and displaying historical diagnosis records corresponding to all the historical medical inspection reports in the report sequence in a sequencing manner. The method and the system provided by the application can assist medical staff to quickly and efficiently analyze the condition of the patient, and meet the diagnosis requirements of a large number of patients.
Description
Technical Field
The invention relates to the technical field of medical data analysis, in particular to a medical information analysis method and system.
Background
In the medical treatment process, some diseases are often invisible, a plurality of indexes of a patient are detected through a medical detection terminal, a corresponding medical detection report is generated according to the detected indexes, and then a doctor analyzes the condition of the patient according to the medical detection report.
Since doctors need to diagnose a large number of patients every day, doctors need to comprehensively analyze various parameters according to their own experiences and medical detection reports, and for some unusual situations which easily cause misjudgment due to relatively similar symptoms, medical staff may need to refer to relevant data to comprehensively judge the situations of the patients. However, this method is relatively time-consuming, and for some doctors with a large number of patients who need diagnosis, it is often difficult to meet the diagnosis requirements of the large number of patients.
Therefore, how to provide an effective scheme to facilitate the doctor to perform a quick and efficient diagnosis and analysis on the condition of the patient has become an urgent problem in the prior art.
Disclosure of Invention
The invention aims to provide a medical information analysis method and system to solve the problem that diagnosis requirements of a large number of patients are difficult to meet in the prior art.
In a first aspect, the present invention provides a medical information analysis method applied to a medical information analysis system, where the medical information analysis system includes a medical terminal and a medical detection terminal, the method includes:
the medical detection terminal sends a medical inspection report of a user to the medical terminal;
the medical terminal extracts keywords in the medical inspection report, wherein the keywords comprise inspection departments, a plurality of inspection items and a plurality of inspection parameters which are in one-to-one correspondence with the inspection items;
when at least one target inspection item with abnormal parameters exists in the plurality of inspection items, the medical terminal searches a plurality of historical medical inspection reports with inspection parameters matched with the plurality of inspection parameters in the medical inspection reports from historical medical inspection records of the inspection department, wherein the target inspection item with abnormal parameters refers to an inspection item with inspection parameters exceeding a normal index range;
if the plurality of historical medical inspection reports correspond to at least two types of diagnosis results, the medical terminal carries out quantitative processing on a plurality of inspection parameters in the medical inspection reports to obtain a first multi-dimensional vector corresponding to the medical inspection report;
the medical terminal quantifies a plurality of historical examination parameters corresponding to the plurality of examination parameters in each historical medical examination report corresponding to the at least two types of diagnosis results to obtain a second multidimensional vector corresponding to each historical medical examination report;
the medical terminal clusters the second multi-dimensional vectors corresponding to the historical medical examination reports according to the types of the diagnosis results to obtain at least two clusters corresponding to the at least two types of diagnosis results;
the medical terminal calculates the distance between the first multi-dimensional vector and the centers of the at least two clusters and carries out priority sorting on the at least two clusters according to the order of the distance from near to far;
the medical terminal calculates a target multidimensional vector which is closest to the first multidimensional vector in each cluster of the at least two clusters, and sorts historical medical inspection reports corresponding to the target multidimensional vector in each cluster according to the priority order of the at least two clusters to obtain a historical medical inspection report sequence;
the medical terminal acquires historical diagnosis and treatment records corresponding to all the historical medical examination reports in the historical medical examination report sequence from the historical diagnosis and treatment database, and displays the acquired historical diagnosis and treatment records after sequencing the historical diagnosis and treatment records based on the sequence of all the historical medical examination reports in the historical medical examination report sequence so as to provide reference basis for medical staff of the medical terminal.
In one possible design, the performing, by the medical terminal, a quantization process on a plurality of examination parameters in the medical examination report to obtain a first multidimensional vector corresponding to the medical examination report includes:
the medical terminal carries out quantitative processing on a plurality of inspection parameters in the medical inspection report;
and the medical terminal performs normalization processing on the multiple test parameters after the quantization processing to obtain a first multi-dimensional vector corresponding to the medical test report.
In one possible design, the medical terminal normalizes the quantized multiple test parameters according to the following formula:
In one possible design, the medical terminal searches a plurality of historical medical examination reports from the historical medical examination records of the clinical laboratory, wherein the plurality of historical medical examination reports have examination parameters matching a plurality of examination parameters in the medical examination reports, and the method comprises the following steps:
the medical terminal searches a plurality of historical medical inspection reports with inspection parameters matched with a plurality of inspection parameters in the medical inspection reports in a one-to-one correspondence manner from the historical medical inspection records of the inspection department;
the two matched inspection parameters mean that the two inspection parameters belong to a normal index range, are both lower than the normal index range or are both higher than the normal index range.
In one possible design, before the medical terminal finds a plurality of historical medical examination reports with examination parameters matching a plurality of examination parameters in the medical examination reports from the historical medical examination records of the examination department, the method further includes:
and if at least one historical medical detection record in the historical medical detection records of the clinical laboratory has data missing, performing data completion on the at least one historical medical detection record with data missing.
In a possible design, the sorting and displaying the acquired historical diagnosis and treatment records based on the sequence of each historical medical examination report in the historical medical examination report sequence includes:
and the medical terminal sequentially displays each historical medical examination report in the historical medical examination report sequence and the historical diagnosis and treatment record corresponding to each historical medical examination report in the historical medical examination report sequence.
In one possible design, the medical terminal finds a plurality of historical medical examination reports from the historical medical examination records of the examination department, the plurality of historical medical examination reports having examination parameters matching a plurality of examination parameters in the medical examination reports, and the method includes:
the medical terminal searches a plurality of historical medical inspection reports which correspond to users of the same type as the users corresponding to the medical inspection reports and have inspection parameters matched with a plurality of inspection parameters in the medical inspection reports from historical medical inspection records of the inspection department;
wherein, the users of the same type are users of the same sex, the same work and/or the same age group.
In one possible design, the medical terminal extracts the keywords in the medical examination report, including:
and the medical terminal extracts the key words in the medical inspection report through a natural language processing algorithm.
In one possible design, the method further includes:
the medical terminal judges whether a target medical examination report which is the same as the medical examination report and belongs to the user exists in a first preset time period;
if the target medical examination report which is the same as the medical examination report and belongs to the user exists, the medical terminal determines the examination parameter change information of the user based on the examination parameters in the medical examination report and the examination parameters in the target medical examination report so that the medical staff of the medical terminal can analyze the rehabilitation condition of the user by referring to the examination parameter change information of the user.
In a second aspect, the present invention provides a medical information analysis system, which includes a medical terminal and a medical detection terminal, wherein the medical detection terminal is configured to send a medical inspection report of a user to the medical terminal;
the medical terminal is used for extracting keywords in the medical inspection report, wherein the keywords comprise inspection departments, a plurality of inspection items and a plurality of inspection parameters which are in one-to-one correspondence with the inspection items;
when at least one target inspection item with abnormal parameters exists in the plurality of inspection items, searching a plurality of historical medical inspection reports with inspection parameters matched with the plurality of inspection parameters in the medical inspection reports from the historical medical inspection records of the inspection departments, wherein the target inspection item with abnormal parameters refers to an inspection item with inspection parameters exceeding the range of normal indexes;
if the plurality of historical medical examination reports correspond to at least two types of diagnosis results, carrying out quantitative processing on a plurality of examination parameters in the medical examination reports to obtain a first multi-dimensional vector corresponding to the medical examination reports;
in each historical medical examination report corresponding to the at least two types of diagnosis results, carrying out quantitative processing on multiple historical examination parameters corresponding to the multiple examination parameters to obtain a second multi-dimensional vector corresponding to each historical medical examination report;
clustering second multi-dimensional vectors corresponding to the historical medical examination reports according to the types of the diagnosis results to obtain at least two clusters corresponding to the at least two types of diagnosis results;
calculating the distance between the first multi-dimensional vector and the centers of the at least two clusters, and carrying out priority sorting on the at least two clusters according to the order of the distance from near to far;
calculating a target multidimensional vector closest to the first multidimensional vector in each of the at least two clusters, and sorting historical medical examination reports corresponding to the target multidimensional vectors in each cluster according to the priority order of the at least two clusters to obtain a historical medical examination report sequence; and
and acquiring historical diagnosis and treatment records corresponding to all the historical medical examination reports in the historical medical examination report sequence from a historical diagnosis and treatment database, and displaying the acquired historical diagnosis and treatment records after sequencing based on the sequence of all the historical medical examination reports in the historical medical examination report sequence so as to provide reference basis for medical staff of the medical terminal.
The above-mentioned at least one technical scheme that this application one or more embodiments adopted can reach following beneficial effect:
the medical examination report of a user is sent to a medical terminal through a medical detection terminal, the medical terminal extracts keywords such as an examination department, a plurality of examination items, a plurality of examination parameters and the like in the medical examination report, when at least one target examination item with abnormal parameters exists in the plurality of examination items, the medical terminal searches a plurality of historical medical examination reports with examination parameters matched with the plurality of examination parameters in the medical examination report, if the plurality of historical medical examination reports correspond to at least two types of diagnosis results, the plurality of examination parameters in the medical examination report are quantized to obtain a first multidimensional vector, then the medical terminal quantizes the plurality of historical examination parameters corresponding to the plurality of examination parameters in each historical medical examination report corresponding to the at least two types of diagnosis results, obtaining second multidimensional vectors corresponding to the historical medical examination reports, clustering the second multidimensional vectors corresponding to the historical medical examination reports according to the type of the diagnosis result to obtain at least two clusters, then calculating the distance between the first multidimensional vector and the centers of the at least two clusters by the medical terminal, sorting the at least two clusters according to the order of the distance from near to far, calculating a target multidimensional vector closest to the first multidimensional vector in each cluster of the at least two clusters by the medical terminal, sorting the historical medical examination reports corresponding to the target multidimensional vector in each cluster according to the order of the priorities of the at least two clusters to obtain a historical medical examination report sequence, and finally obtaining the historical diagnosis and treatment records corresponding to the historical medical examination reports in the historical medical examination report sequence from the historical diagnosis and treatment database by the medical terminal, and sequencing and displaying the obtained historical diagnosis and treatment records based on the sequence of each historical medical treatment examination report in the historical medical treatment examination report sequence so as to provide reference basis for medical staff of the medical terminal. Therefore, when abnormal inspection parameters exist in the medical inspection report, the historical medical inspection report of at least two types of diagnosis results close to the medical inspection report can be automatically acquired, and after the corresponding historical diagnosis and treatment records are acquired from the historical diagnosis and treatment database, the historical diagnosis and treatment records are displayed to medical staff of the medical terminal after being sorted according to the similarity degree of the corresponding historical medical inspection report and the medical inspection report of a user, so that reference is provided for the medical staff of the medical terminal, the medical staff can be conveniently assisted to quickly and efficiently analyze the condition of a patient, and the diagnosis requirements of a large number of patients are met.
Drawings
FIG. 1 is a flow chart of a medical information analysis method provided by the present invention;
fig. 2 is a schematic structural diagram of a medical information analysis system provided by the present invention.
Detailed Description
The invention is further described with reference to the following figures and specific embodiments. It should be noted that the description of the embodiments is provided to help understanding of the present invention, but the present invention is not limited thereto. Specific structural and functional details disclosed herein are merely illustrative of example embodiments of the invention. The present invention may, however, be embodied in many alternate forms and should not be construed as limited to the embodiments set forth herein.
It will be understood that, although the terms first, second, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of example embodiments of the present invention.
It should be understood that, for the term "and/or" as may appear herein, it is merely an associative relationship that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, B exists alone, and A and B exist at the same time; for the term "/and" as may appear herein, which describes another associative object relationship, it means that there may be two relationships, e.g., a/and B, which may mean: a exists independently, and A and B exist independently; in addition, for the character "/" that may appear herein, it generally means that the former and latter associated objects are in an "or" relationship.
Examples
In order to facilitate the auxiliary medical staff to quickly and efficiently analyze the condition of the patient, the embodiment of the application provides a medical information analysis method and system, and the medical information analysis method and system can conveniently assist the medical staff to quickly and efficiently analyze the condition of the patient and meet the diagnosis requirements of a large number of patients.
As shown in fig. 1, the flowchart of a medical information analysis method provided in a first aspect of the embodiments of the present application is a flowchart, where the medical information analysis method is applicable to a medical information analysis system, where the medical information analysis system includes a medical terminal and a medical detection terminal, and the medical terminal is in communication connection with the medical detection terminal to perform data interaction or communication. The medical information analysis method may include the steps of:
and step S101, the medical detection terminal sends a medical inspection report of the user to the medical terminal.
The medical examination report may include the name, sex, age, work category, examination department, names of a plurality of examination items, and a plurality of examination parameters corresponding to the names of the plurality of examination items.
In the embodiment of the application, the medical detection terminal can be a Personal Computer (PC) or a tablet computer connected with the medical detection instrument, when the medical detection instrument detects a user, the medical detection terminal can generate a medical detection report according to personal information of the user, detection parameters corresponding to various detection items detected by a detection department and the medical detection instrument, and send the medical detection report to the medical terminal, and the medical terminal can be a personal computer or a tablet computer or other terminal equipment at the medical end.
When the medical detection terminal sends the medical examination report of the user to the medical terminal, the medical detection terminal may be manually selected by a detection staff of the medical detection terminal and sent to the corresponding medical terminal, or the medical detection terminal may be automatically sent to the corresponding medical terminal according to an attending doctor of the detected user or an examination department in the medical examination report, which is not specifically limited in the embodiment of the present application.
And step S102, the medical terminal extracts the keywords in the medical inspection report.
The keywords may include, but are not limited to, a laboratory, a plurality of test items, and a plurality of test parameters corresponding to the plurality of test items one to one.
For example, for a user at a medical clinic, the clinical laboratory in the medical examination report may be "medical", the name of the examination item may be "total serum protein", "white blood cell", etc., and the examination parameter may be the content of the object to be examined under the corresponding examination item, for example, may be 0.5g/L, 1mol/L, etc.
In the embodiment of the present application, when the medical terminal extracts the keywords in the medical examination report, the keywords in the medical examination report may be extracted through a natural language processing algorithm, which has the principle that the detailed description is omitted in the embodiment of the present application.
Step S103, when at least one target inspection item with abnormal parameters exists in the plurality of inspection items, the medical terminal searches a plurality of historical medical inspection reports with inspection parameters matched with the plurality of inspection parameters in the medical inspection reports from the historical medical inspection records of the inspection departments.
The target inspection item with abnormal parameters refers to an inspection item with inspection parameters exceeding the normal index range.
In the embodiment of the application, each inspection item corresponds to a normal index range, after extracting the keywords in the medical inspection report, the medical terminal can compare the inspection parameters of each inspection item with the corresponding normal index range to judge whether the inspection item with the inspection parameters exceeding the normal index range (lower than the normal index range or higher than the normal index range) exists, and if the inspection item with the inspection parameters exceeding the normal index range exists, the inspection item with the inspection parameters exceeding the normal index range is judged to be the target inspection item with abnormal parameters. At this time, the medical terminal can search the historical medical examination record belonging to the examination department from the examination report library, and search a plurality of historical medical examination reports with examination parameters matched with a plurality of examination parameters in the medical examination reports from the historical medical examination record of the examination department. The examination report library is established in advance, and the examination report library can be established in a background server of a hospital and records historical medical examination records of a large number of users before the current time point.
For example, a medical inspection report includes inspection items a, b and c, where the inspection parameter corresponding to the inspection item a is 0.1mol/L, the inspection parameter corresponding to the inspection item b is 0.5mol/L, the inspection parameter corresponding to the inspection item c is 0.2g/L, the normal index range of the inspection parameter corresponding to the inspection item a is 0.01-0.1mol/L, the normal index range of the inspection parameter corresponding to the inspection item b is 0.1-0.3mol/L, and the normal index range of the inspection parameter corresponding to the inspection item c is 0.1-1g/L, and then it is determined that the inspection item b is the target inspection item with abnormal parameters.
In this embodiment, when the medical terminal finds out a plurality of historical medical inspection reports with inspection parameters matching a plurality of inspection parameters in the medical inspection reports from the historical medical inspection records of the inspection department, the medical terminal may find out a plurality of historical medical inspection reports with inspection parameters matching a plurality of inspection parameters in the medical inspection reports from the historical medical inspection records of the inspection department in a one-to-one correspondence manner. The two matched inspection parameters mean that the two inspection parameters belong to a normal index range, are both lower than the normal index range or are both higher than the normal index range.
In one or more embodiments, since information in the medical examination reports is improved over time with the improvement of the detection equipment and the detection technology, and some previous historical medical examination reports may have a part of missing data relative to the medical examination report sent to the medical terminal by the current medical detection terminal, if at least one historical medical examination record in the historical medical examination records of the examination department has data missing, the at least one historical medical examination record with data missing can be subjected to data complementing. When data is supplemented, it is considered that data within the normal index range is supplemented to missing data.
In one or more embodiments, when the medical terminal finds out a plurality of historical medical examination reports with examination parameters matching with a plurality of examination parameters in the medical examination reports from the historical medical examination records of the examination department, the medical terminal may also find out a plurality of historical medical examination reports with examination parameters matching with a plurality of examination parameters in the medical examination reports, where a user corresponding to the historical medical examination records of the examination department is the same as a user corresponding to the medical examination reports. Wherein, the users of the same type are users of the same sex, the same work and/or the same age group.
The ages of the users in the example medical examination reports are divided into age groups of 0-20 years, 21-40 years, 41-60 years and more than 60 years, if the age of the user recorded in the medical examination reports is 30 years, the medical terminal can search a plurality of historical medical examination reports of which the recorded age of the user is 21-40 years and the examination parameters are matched with a plurality of examination parameters in the medical examination reports from the historical medical examination records of the examination department. Because the physiological parameters of the users in the same age group are closer, the searched multiple historical medical examination reports have higher reference value, and can provide more accurate reference basis when providing reference basis for medical staff in the future, so that the medical staff can be assisted to accurately analyze the condition of the patient, and misleading to the medical staff is avoided.
And step S104, if the plurality of historical medical inspection reports correspond to at least two types of diagnosis results, the medical terminal quantifies a plurality of inspection parameters in the medical inspection reports to obtain a first multi-dimensional vector corresponding to the medical inspection report.
The medical terminal performs quantization processing on a plurality of inspection parameters in the medical inspection report to obtain a first multidimensional vector corresponding to the medical inspection report, which may include, but is not limited to, the following steps S1041 to S1042.
Step S1041, the medical terminal performs quantization processing on a plurality of inspection parameters in the medical inspection report.
Step S1042, the medical terminal normalizes the multiple test parameters after the quantization processing to obtain a first multidimensional vector corresponding to the medical test report.
When normalization processing is performed, the medical terminal can perform normalization processing on the quantized multiple items of test parameters according to the following formula:
And step S105, the medical terminal quantifies a plurality of historical inspection parameters corresponding to the plurality of inspection parameters in each historical medical inspection report corresponding to at least two types of diagnosis results to obtain a second multidimensional vector corresponding to each historical medical inspection report.
The process of performing the quantization processing on the plurality of historical test parameters corresponding to the plurality of test parameters in each of the historical medical test reports corresponding to the at least two types of diagnosis results is the same as the quantization processing process in step S104, and will not be described in detail here.
For example, the medical inspection report includes an inspection parameter a1 corresponding to an inspection item a, an inspection parameter b1 corresponding to an inspection item b, and an inspection parameter c1 corresponding to an inspection item c, and a historical medical inspection report includes an inspection parameter a2 corresponding to an inspection item a, an inspection parameter b2 corresponding to an inspection item b, an inspection parameter c2 corresponding to an inspection item c, and an inspection parameter d2 corresponding to an inspection item d, so that for the historical medical inspection report, the inspection parameter a2 corresponding to the inspection item a, the inspection parameter b2 corresponding to the inspection item b, and the inspection parameter c2 corresponding to the inspection item c may be quantized to obtain a vector (a 2, b2, c 2), and then each item of data in the vector (a 2, b2, c 2) may be normalized, and the inspection parameter d2 corresponding to the inspection item d does not participate in quantization processing.
And S106, clustering the second multi-dimensional vectors corresponding to the historical medical examination reports by the medical terminal according to the types of the diagnosis results to obtain at least two clusters corresponding to at least two types of diagnosis results.
That is, the second multi-dimensional vectors corresponding to the historical medical examination reports corresponding to the diagnosis results belonging to the same diagnosis type are divided into the same cluster.
And S107, the medical terminal calculates the distance between the first multi-dimensional vector and the centers of the at least two clusters, and performs priority sorting on the at least two clusters according to the order of the distance from near to far.
And S108, calculating a target multi-dimensional vector closest to the first multi-dimensional vector in each cluster of the at least two clusters by the medical terminal, and sequencing the historical medical inspection reports corresponding to the target multi-dimensional vectors in each cluster according to the priority sequence of the at least two clusters to obtain a historical medical inspection report sequence.
For example, when clustering is performed, a cluster A, B, C is obtained, and the total of three clusters is obtained, where the priority of cluster a is higher than the priority of cluster B, the priority of cluster B is higher than the priority of cluster C, assuming that the multidimensional vector closest to the first multidimensional vector in cluster a is a target multidimensional vector A1, the multidimensional vector closest to the first multidimensional vector in cluster B is a target multidimensional vector B1, and the multidimensional vector closest to the first multidimensional vector in cluster C is a target multidimensional vector C1, when the target multidimensional vector A1, the target multidimensional vector B1, and the target multidimensional vector C1 are sorted, the priority of the target multidimensional vector A1 is higher than the priority of the target multidimensional vector B1, and the priority of the target multidimensional vector B1 is higher than the priority of the target multidimensional vector C1, so that the medical examination reports in the historical medical examination report sequence may be sequentially the medical examination report rep1 corresponding to the target multidimensional vector A1, the medical examination report rep2 corresponding to the target multidimensional vector B1, and the medical examination report corresponding to the target multidimensional vector C3.
Step S109, the medical terminal obtains the historical diagnosis and treatment records corresponding to the historical medical examination reports in the historical medical examination report sequence from the historical diagnosis and treatment database, and displays the obtained historical diagnosis and treatment records after sequencing the historical diagnosis and treatment records based on the sequence of the historical medical examination reports in the historical medical examination report sequence.
In the embodiment of the application, a historical diagnosis and treatment database is also pre-established, and a large number of historical medical examination reports and historical diagnosis and treatment records corresponding to the historical medical examination reports are recorded in the historical diagnosis and treatment database. After the historical medical examination report sequence is obtained, the medical terminal obtains the historical diagnosis and treatment records corresponding to all the historical medical examination reports in the historical medical examination report sequence from the historical diagnosis and treatment database, and the obtained historical diagnosis and treatment records are displayed after being sorted based on the sequence of all the historical medical examination reports in the historical medical examination report sequence.
Still based on the example in the step S108, the medical examination reports in the historical medical examination report sequence are the historical medical examination report rep1, the historical medical examination report rep2, and the historical medical examination report rep3 in sequence, so that the medical terminal can obtain the historical diagnosis record rec1 corresponding to the historical medical examination report rep1, the historical diagnosis record rec2 corresponding to the historical medical examination report rep2, and the historical diagnosis record rec3 corresponding to the historical medical examination report rep3 from the historical diagnosis database, and display the obtained historical diagnosis record rec1, the historical diagnosis record rec2, and the historical diagnosis record rec3 after sorting so as to provide a reference for medical staff of the medical terminal, wherein the sorting sequence is the historical diagnosis record rec1, the historical diagnosis record rec2, and the historical diagnosis record rec3 in sequence.
In one or more embodiments, the medical terminal may also simultaneously present each of the sequence of historical medical examination reports. When the medical terminal is displaying, the historical medical inspection reports in the historical medical inspection report sequence and the historical diagnosis and treatment records corresponding to the historical medical inspection reports in the historical medical inspection report sequence are sequentially displayed, so that reference basis is further provided for medical staff of the medical terminal.
In one or more embodiments, the medical terminal may further determine whether a target medical examination report which is the same type as the medical examination report and belongs to the user exists within a first preset time period, and if the target medical examination report which is the same type as the medical examination report and belongs to the user exists, the medical terminal may determine examination parameter change information of the user based on examination parameters in the medical examination report and examination parameters in the target medical examination report, so that medical staff of the medical terminal may analyze the rehabilitation condition of the user with reference to the examination parameter change information of the user. Therefore, the change condition of each inspection parameter in the medical inspection report of the user can be determined according to the previous medical inspection report of the user, and the medical staff at the medical terminal can conveniently analyze the rehabilitation condition of the user.
To sum up, in the medical information analysis method provided in the embodiment of the present application, the medical inspection report of the user is sent to the medical terminal through the medical inspection terminal, the medical terminal extracts keywords such as an inspection department, multiple inspection items, multiple inspection parameters, and the like in the medical inspection report, and when at least one target inspection item with abnormal parameters exists in the multiple inspection items, the medical terminal finds out multiple historical medical inspection reports with inspection parameters matching with the multiple inspection parameters in the medical inspection report, and if the multiple historical medical inspection reports correspond to at least two types of diagnosis results, the multiple inspection parameters in the medical inspection report are quantized to obtain a first multidimensional vector, and then the medical terminal quantizes the multiple historical inspection parameters corresponding to the multiple inspection parameters in each historical medical inspection report corresponding to the at least two types of diagnosis results, obtaining a second multidimensional vector corresponding to each historical medical examination report, clustering the second multidimensional vector corresponding to each historical medical examination report according to the type of a diagnosis result to obtain at least two clusters, then calculating the distance between the first multidimensional vector and the centers of the at least two clusters by the medical terminal, sorting the at least two clusters according to the order of the distance from near to far, calculating a target multidimensional vector closest to the first multidimensional vector in each cluster of the at least two clusters by the medical terminal, sorting the historical medical examination reports corresponding to the target multidimensional vector in each cluster according to the order of the priorities of the at least two clusters to obtain a historical medical examination report sequence, and finally obtaining the historical diagnosis record corresponding to each historical medical examination report in the historical medical examination report sequence from the historical diagnosis database by the medical terminal, and sequencing and displaying the obtained historical diagnosis and treatment records based on the sequence of each historical medical treatment examination report in the historical medical treatment examination report sequence so as to provide reference basis for medical staff of the medical terminal. Therefore, when abnormal inspection parameters exist in the medical inspection report, the historical medical inspection report of at least two types of diagnosis results close to the medical inspection report can be automatically acquired, and after the corresponding historical diagnosis and treatment records are acquired from the historical diagnosis and treatment database, the historical diagnosis and treatment records are displayed to medical staff of the medical terminal after being sorted according to the similarity degree of the corresponding historical medical inspection report and the medical inspection report of a user, so that reference is provided for the medical staff of the medical terminal, the medical staff can be conveniently assisted to quickly and efficiently analyze the condition of a patient, and the diagnosis requirements of a large number of patients are met. Meanwhile, when a plurality of historical medical inspection reports with inspection parameters matched with a plurality of inspection parameters in the medical inspection reports are searched from the historical medical inspection records of an inspection department, the user types are also considered, and the physiological parameters of the users of the same type are closer, so that the searched plurality of historical medical inspection reports have more reference values, and when reference basis is provided for medical staff subsequently, more accurate reference basis can be provided, so that the medical staff can be assisted to analyze the condition of a patient accurately, and misleading of the medical staff is avoided. In addition, the change condition of each inspection parameter in the medical inspection report of the user can be determined according to the previous medical inspection report of the user, and the medical staff at the medical terminal can conveniently analyze the rehabilitation condition of the user.
As shown in fig. 2, a second aspect of the embodiments of the present application provides a medical information analysis system, which includes a medical terminal and a medical detection terminal, wherein the medical detection terminal is configured to send a medical examination report of a user to the medical terminal;
the medical terminal is used for extracting keywords in the medical inspection report, wherein the keywords comprise inspection departments, a plurality of inspection items and a plurality of inspection parameters which are in one-to-one correspondence with the inspection items;
when at least one target inspection item with abnormal parameters exists in the plurality of inspection items, searching a plurality of historical medical inspection reports with inspection parameters matched with the plurality of inspection parameters in the medical inspection reports from the historical medical inspection records of the inspection departments, wherein the target inspection item with abnormal parameters refers to an inspection item with inspection parameters exceeding the range of normal indexes;
if the plurality of historical medical examination reports correspond to at least two types of diagnosis results, carrying out quantitative processing on a plurality of examination parameters in the medical examination reports to obtain a first multi-dimensional vector corresponding to the medical examination report;
in each historical medical examination report corresponding to the at least two types of diagnosis results, carrying out quantitative processing on multiple historical examination parameters corresponding to the multiple examination parameters to obtain a second multi-dimensional vector corresponding to each historical medical examination report;
clustering second multi-dimensional vectors corresponding to the historical medical examination reports according to the types of the diagnosis results to obtain at least two clusters corresponding to the at least two types of diagnosis results;
calculating the distance between the first multi-dimensional vector and the centers of the at least two clusters, and performing priority sorting on the at least two clusters according to the order of the distance from near to far;
calculating a target multidimensional vector closest to the first multidimensional vector in each of the at least two clusters, and sorting historical medical examination reports corresponding to the target multidimensional vectors in each cluster according to the priority order of the at least two clusters to obtain a historical medical examination report sequence; and
and acquiring historical diagnosis and treatment records corresponding to all the historical medical examination reports in the historical medical examination report sequence from a historical diagnosis and treatment database, and displaying the acquired historical diagnosis and treatment records after sequencing based on the sequence of all the historical medical examination reports in the historical medical examination report sequence so as to provide reference basis for medical staff of the medical terminal.
For the working process, the working details and the technical effects of the medical information analysis system provided in the second aspect of the embodiment, reference may be made to the first aspect of the embodiment, which is not described herein again.
All the embodiments in this document are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
Finally, it should be noted that: the above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A medical information analysis method is applied to a medical information analysis system, the medical information analysis system comprises a medical terminal and a medical detection terminal, and the medical information analysis method is characterized by comprising the following steps:
the medical detection terminal sends a medical inspection report of a user to the medical terminal;
the medical terminal extracts keywords in the medical inspection report, wherein the keywords comprise inspection departments, a plurality of inspection items and a plurality of inspection parameters which are in one-to-one correspondence with the inspection items;
when at least one target inspection item with abnormal parameters exists in the plurality of inspection items, the medical terminal searches a plurality of historical medical inspection reports with inspection parameters matched with the plurality of inspection parameters in the medical inspection reports from historical medical inspection records of the inspection department, wherein the target inspection item with abnormal parameters refers to an inspection item with inspection parameters exceeding a normal index range;
if the plurality of historical medical inspection reports correspond to at least two types of diagnosis results, the medical terminal carries out quantitative processing on a plurality of inspection parameters in the medical inspection reports to obtain a first multi-dimensional vector corresponding to the medical inspection report;
the medical terminal quantifies a plurality of historical examination parameters corresponding to the plurality of examination parameters in each historical medical examination report corresponding to the at least two types of diagnosis results to obtain a second multi-dimensional vector corresponding to each historical medical examination report;
the medical terminal clusters the second multi-dimensional vectors corresponding to the historical medical examination reports according to the types of the diagnosis results to obtain at least two clusters corresponding to the at least two types of diagnosis results;
the medical terminal calculates the distance between the first multi-dimensional vector and the centers of the at least two clusters and carries out priority sorting on the at least two clusters according to the order of the distance from near to far;
the medical terminal calculates a target multi-dimensional vector closest to the first multi-dimensional vector in each of the at least two clusters, and sorts historical medical inspection reports corresponding to the target multi-dimensional vectors in each cluster according to the priority order of the at least two clusters to obtain a historical medical inspection report sequence;
the medical terminal acquires historical diagnosis and treatment records corresponding to the historical medical examination reports in the historical medical examination report sequence from the historical diagnosis and treatment database, and displays the acquired historical diagnosis and treatment records after sequencing the historical diagnosis and treatment records based on the sequence of the historical medical examination reports in the historical medical examination report sequence so as to provide reference basis for medical staff of the medical terminal.
2. The method of claim 1, wherein the medical terminal performing quantization processing on a plurality of examination parameters in the medical examination report to obtain a first multidimensional vector corresponding to the medical examination report, comprises:
the medical terminal carries out quantitative processing on a plurality of inspection parameters in the medical inspection report;
and the medical terminal performs normalization processing on the multiple quantized inspection parameters to obtain a first multi-dimensional vector corresponding to the medical inspection report.
3. The method of claim 2, wherein the medical terminal normalizes the quantized multi-term test parameters according to the following formula:
4. The method of claim 1, wherein the medical terminal finding a plurality of historical medical test reports from the historical medical test records of the clinical laboratory having test parameters matching a plurality of test parameters in the medical test reports comprises:
the medical terminal searches a plurality of historical medical inspection reports with inspection parameters matched with a plurality of inspection parameters in the medical inspection reports in a one-to-one correspondence manner from the historical medical inspection records of the inspection department;
the two matched inspection parameters mean that the two inspection parameters belong to a normal index range, are both lower than the normal index range or are both higher than the normal index range.
5. The method of claim 4, wherein prior to the medical terminal locating a plurality of historical medical test reports from the clinical laboratory's historical medical test records for which test parameters match a plurality of test parameters in the medical test reports, the method further comprises:
and if at least one historical medical detection record in the historical medical detection records of the clinical laboratory has data missing, performing data completion on the at least one historical medical detection record with data missing.
6. The method of claim 1, wherein the displaying the acquired historical clinical records after sorting based on the order of each historical medical examination report in the sequence of historical medical examination reports comprises:
and the medical terminal sequentially displays each historical medical examination report in the historical medical examination report sequence and the historical diagnosis and treatment record corresponding to each historical medical examination report in the historical medical examination report sequence.
7. The method of claim 1, wherein the medical terminal finding a plurality of historical medical test reports from the historical medical test records of the clinical laboratory having test parameters matching a plurality of test parameters in the medical test reports comprises:
the medical terminal searches a plurality of historical medical inspection reports which correspond to users of the same type as the users corresponding to the medical inspection reports and have inspection parameters matched with a plurality of inspection parameters in the medical inspection reports from historical medical inspection records of the inspection department;
wherein, the users of the same type are users of the same sex, the same work and/or the same age group.
8. The method of claim 1, wherein the medical terminal extracting keywords from the medical examination report comprises:
and the medical terminal extracts the key words in the medical inspection report through a natural language processing algorithm.
9. The method of claim 1, wherein the method further comprises:
the medical terminal judges whether a target medical examination report which is the same as the medical examination report and belongs to the user exists in a first preset time period;
if the target medical examination report which is the same as the medical examination report and belongs to the user exists, the medical terminal determines examination parameter change information of the user based on various examination parameters in the medical examination report and various examination parameters in the target medical examination report so that medical staff of the medical terminal can analyze the rehabilitation condition of the user by referring to the examination parameter change information of the user.
10. A medical information analysis system is characterized by comprising a medical terminal and a medical detection terminal, wherein the medical detection terminal is used for sending a medical inspection report of a user to the medical terminal;
the medical terminal is used for extracting keywords in the medical inspection report, wherein the keywords comprise inspection departments, a plurality of inspection items and a plurality of inspection parameters which are in one-to-one correspondence with the inspection items;
when at least one target inspection item with abnormal parameters exists in the plurality of inspection items, searching a plurality of historical medical inspection reports with inspection parameters matched with the plurality of inspection parameters in the medical inspection reports from the historical medical inspection records of the inspection departments, wherein the target inspection item with abnormal parameters refers to an inspection item with inspection parameters exceeding the range of normal indexes;
if the plurality of historical medical examination reports correspond to at least two types of diagnosis results, carrying out quantitative processing on a plurality of examination parameters in the medical examination reports to obtain a first multi-dimensional vector corresponding to the medical examination report;
in each historical medical examination report corresponding to the at least two types of diagnosis results, carrying out quantitative processing on multiple historical examination parameters corresponding to the multiple examination parameters to obtain a second multi-dimensional vector corresponding to each historical medical examination report;
clustering second multi-dimensional vectors corresponding to the historical medical examination reports according to the types of the diagnosis results to obtain at least two clusters corresponding to the at least two types of diagnosis results;
calculating the distance between the first multi-dimensional vector and the centers of the at least two clusters, and carrying out priority sorting on the at least two clusters according to the order of the distance from near to far;
calculating a target multidimensional vector closest to the first multidimensional vector in each of the at least two clusters, and sorting historical medical examination reports corresponding to the target multidimensional vectors in each cluster according to the priority order of the at least two clusters to obtain a historical medical examination report sequence; and
and acquiring historical diagnosis and treatment records corresponding to all the historical medical examination reports in the historical medical examination report sequence from a historical diagnosis and treatment database, and displaying the acquired historical diagnosis and treatment records after sequencing based on the sequence of all the historical medical examination reports in the historical medical examination report sequence so as to provide reference basis for medical staff of the medical terminal.
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| CN202210852695.0A CN115274091A (en) | 2022-07-19 | 2022-07-19 | Medical information analysis method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116153483A (en) * | 2023-01-03 | 2023-05-23 | 武汉博科国泰信息技术有限公司 | Medical data analysis processing method and system based on machine learning |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116153483A (en) * | 2023-01-03 | 2023-05-23 | 武汉博科国泰信息技术有限公司 | Medical data analysis processing method and system based on machine learning |
| CN116153483B (en) * | 2023-01-03 | 2023-11-07 | 武汉博科国泰信息技术有限公司 | Medical data analysis processing method and system based on machine learning |
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Application publication date: 20221101 |