CN117558449A - Medical health data management system based on big data - Google Patents
Medical health data management system based on big data Download PDFInfo
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
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- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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Abstract
The invention relates to the field of data processing, in particular to a medical health data management system based on big data, which comprises the following components: the acquisition module is used for acquiring real-time sign data in the monitoring process; the selection module acquires preliminary medical diagnosis information of a target patient according to the real-time physical sign data, and selects target monitoring data in the real-time physical sign data according to the preliminary medical diagnosis information, wherein the number of the target monitoring data is smaller than that of the real-time physical sign data; the extraction module extracts a monitoring value of the target monitoring data and determines the health state of the target patient in the current monitoring period; the prediction module predicts the item to be checked in the next monitoring period according to the health state and the change trend of the target monitoring data; the management terminal locks the corresponding examination apparatus according to the item to be examined so as to use the examination apparatus to complete the item to be examined of the target patient in the next monitoring period. The invention improves the timeliness of patient consultation.
Description
Technical Field
The invention relates to the field of data processing, in particular to a medical health data management system based on big data.
Background
Under the digital age, the medical health field is continuously greatly changed. As an important application field of big data, the medical health field continuously explores advanced medical health solutions by collecting, sorting, analyzing various medical health related data. The medical health big data application not only helps medical institutions to formulate more effective clinical schemes and optimize medical services, but also helps to improve the health quality and the medical guarantee level of people.
The patent document of China patent publication No. CN116612888A discloses a medical health management system based on big data, comprising: the vital sign acquisition module acquires various physiological characteristic parameters of the body of the old; the health planning module analyzes the body health of the old according to the acquired physiological characteristic parameters and gives out reference suggestions; the diet health module comprises a recipe unit, a diet monitoring unit and a diet reminding unit, wherein the recipe unit formulates a health recipe for the old according to reference suggestions given by the health planning module; the food weight of three meals of old people is monitored and counted by the diet monitoring unit, the proportion of the foods of three meals of old people is compared with the proportion of the foods in the healthy diet by the diet monitoring unit, the diet monitoring unit judges that the proportion of the foods of three meals of old people and the proportion of the foods in the healthy diet are different and sends a signal to the diet reminding unit, and the diet reminding unit sends a reminding after receiving the signal.
In the prior art, the examination process is complicated in the patient treatment process, so that the patient treatment is not timely.
Disclosure of Invention
Therefore, the invention provides a medical health data management system based on big data, which can solve the problem of timeliness of patient visit through the processes of real-time monitoring, target data selection, health state evaluation, project prediction to be checked, checking instrument management and the like.
To achieve the above object, the present invention provides a medical health data management system based on big data, the system comprising:
the acquisition module is used for acquiring real-time sign data in the monitoring process;
the selection module is connected with the acquisition module and used for acquiring preliminary medical diagnosis information of a target patient, and selecting target monitoring data in the real-time physical sign data according to the preliminary medical diagnosis information, wherein the number of the target monitoring data is smaller than that of the real-time physical sign data;
the extraction module is used for extracting the monitoring value of the target monitoring data and determining the health state of the target patient in the current monitoring period;
the prediction module is respectively connected with the extraction module and the selection module and is used for predicting the item to be checked in the next monitoring period according to the health state and the change trend of the target monitoring data;
and the management terminal is respectively connected with the prediction module and the plurality of actual examination instruments and is used for locking the corresponding target examination instrument according to the to-be-examined item so as to complete the to-be-examined item of the target patient by using the target examination instrument in the next monitoring period.
Further, the acquisition module comprises a breath acquisition unit and a blood pressure acquisition unit, wherein,
the breath acquisition unit is used for acquiring breath audio of a target patient in real time, analyzing the breath audio and acquiring breath depth data of the target patient according to an audio analysis result;
the blood pressure acquisition unit is used for acquiring a blood pressure fluctuation graph of a target patient in real time, analyzing the blood pressure fluctuation graph and acquiring blood pressure data of the target patient according to a fluctuation graph analysis result;
the real-time sign data includes the depth of breath data and the blood pressure data.
Further, the breath acquisition unit comprises an audio acquisition subunit, an audio processing subunit, an audio analysis subunit and a breath data acquisition subunit, wherein,
the audio acquisition subunit is used for acquiring respiratory audio of a target patient through the sound sensor;
the audio processing subunit is connected with the audio acquisition subunit and used for filtering the respiratory audio through a filter;
the audio analysis subunit is connected with the audio processing subunit and used for converting the processed respiratory audio into an audio signal, extracting the amplitude of the audio signal and drawing an amplitude change curve;
the breath data acquisition subunit is connected with the audio analysis subunit and is used for extracting a plurality of breath periods in the amplitude variation curve, calculating the amplitude variation of the inspiration phases in the breath periods and taking the amplitude variation as the breath depth data.
Further, the blood pressure acquisition unit comprises a drawing subunit, a fluctuation graph analysis subunit and a blood pressure data acquisition subunit, wherein,
the drawing subunit is used for collecting blood pressure data of the upper arm of the target patient in real time, drawing a plurality of blood pressure data according to the collecting time, and obtaining the blood pressure fluctuation graph;
the fluctuation map analysis subunit is connected with the drawing subunit and used for calculating a plurality of pulse pressure differences in the blood pressure fluctuation map according to a plurality of maximum blood pressure peaks and a plurality of minimum blood pressure peaks of the blood pressure in the blood pressure fluctuation map;
the blood pressure data acquisition subunit is connected with the fluctuation graph analysis subunit and is used for taking a plurality of pulse pressure differences as the blood pressure data.
Further, the selection module comprises a storage unit, a judgment unit and a selection unit, wherein,
the storage unit is used for storing historical medical information of a plurality of patients;
the medical information judging unit is connected with the storage unit and used for extracting the historical medical information of the target patient in the storage unit and acquiring the preliminary medical diagnosis information according to the historical medical information;
the selection unit is connected with the judging unit and used for determining that target monitoring data in the real-time physical sign data are the respiratory depth data or the blood pressure data according to the preliminary medical diagnosis information.
Further, the judging unit comprises an extracting subunit and an acquiring subunit, wherein,
the extraction subunit is used for matching the information of the target patient with the information of the plurality of patients and extracting the historical medical information corresponding to the patients with the same matching result;
the medical information acquisition subunit is connected with the extraction subunit and is used for analyzing the historical medical information and judging whether the historical respiratory depth data and the blood pressure data in the historical medical information are abnormal or not, and if the abnormal situation occurs, the judging result is used as the preliminary medical diagnosis information.
Further, the extraction module comprises an extraction unit, a respiration judging unit, a blood pressure judging unit and a determining unit, wherein,
the extraction unit is used for extracting a respiration depth monitoring value of the respiration depth data or a blood pressure monitoring value of the blood pressure data according to a determination result of the target monitoring data;
the respiration judging unit is used for comparing the respiration depth monitoring value with a preset standard respiration depth range and judging whether the respiration depth monitoring value is abnormal or not according to a comparison result;
the blood pressure judging unit is used for drawing a blood pressure monitoring value graph according to the blood pressure monitoring value, comparing the change trend of the blood pressure monitoring value graph with the change trend in a preset standard blood pressure monitoring value graph in a similarity mode, and judging whether the blood pressure monitoring value is abnormal or not according to the similarity comparison result;
the determining unit is connected with the respiration judging unit and the blood pressure judging unit and is used for determining that the respiration health state of the target patient in the current monitoring period is poor when the respiration depth monitoring value is not in the standard respiration depth range, and determining that the blood pressure health state of the target patient in the current monitoring period is poor when the similarity result is smaller than the preset similarity.
Further, the prediction module comprises a trend acquisition unit and an analysis unit, wherein,
the trend acquisition unit is used for drawing a respiration depth trend chart or a blood pressure trend chart according to the respiration depth monitoring value or the blood pressure monitoring value;
the analysis module is connected with the trend acquisition unit and is used for detecting lung function of an item to be detected in the next period when the amplitude change in the respiration depth trend chart is not in a preset amplitude change range and the health state of the target patient in the current monitoring period is respiratory health state difference, and detecting electrocardiogram of the item to be detected in the next period when the blood pressure trend chart is continuously increased or continuously decreased and the health state of the target patient in the current monitoring period is blood pressure health state difference.
Further, the management terminal comprises an instrument selection unit, an instrument checking unit and a personnel monitoring unit, wherein,
the instrument selection unit is used for identifying a plurality of actual examination instruments and determining the corresponding target examination instrument according to the item to be examined;
the instrument checking unit is connected with the instrument selecting unit and used for detecting the target checking instrument and determining that the target checking instrument can be normally used;
the personnel monitoring unit and the instrument checking unit are used for completing the items to be checked of the target patient for the target patient through the target checking instrument.
Further, the instrument identification unit comprises an instrument storage subunit and an identification subunit, wherein,
the instrument storage subunit is used for storing a plurality of actual examination instruments and corresponding instrument uses thereof;
the identification subunit is connected with the instrument storage subunit and used for matching the to-be-inspected item with the instrument application, and selecting a corresponding instrument as the target inspection instrument according to a matching result.
Compared with the prior art, the invention has the beneficial effects that the physical sign data of the patient is acquired in real time through the acquisition module, the condition of the patient is comprehensively and accurately known, the abnormal physical sign data of the patient is observed in real time, the patient is subjected to medical treatment in time, the target monitoring data are screened out from the real-time physical sign data according to the preliminary medical diagnosis information of the patient through the selection module, so that the data closely related to the condition of different patients are focused on aiming at the specific condition of different patients, the accuracy of diagnosis is improved, the monitoring value of the target monitoring data is extracted through the extraction module, the health state of the patient in the current monitoring period is determined, the medical personnel can be helped to comprehensively know the condition of the patient, the accuracy of the follow-up monitoring judgment is improved, the medical treatment is predicted according to the health state of the patient and the change trend of the target monitoring data, the medical personnel can plan the examination items of the patient in advance, the diagnosis efficiency of the patient is improved, the patient is subjected to medical treatment is ensured, the patient is subjected to the treatment, the treatment is greatly improved, the safety of the patient is improved, the safety of the condition is improved, the condition is closely related to the condition of the patient is improved, the condition is completely, the condition of the patient is completely checked by the corresponding to the medical examination equipment according to the monitoring items, the condition is guaranteed to be accurately, the appropriate to be accurately and the medical examination is guaranteed, and the medical examination is completely is guaranteed.
In particular, by setting the breath acquisition unit and the blood pressure acquisition unit to acquire the breath audio frequency and the blood pressure fluctuation image of the target patient in real time, the physiological state of the patient can be more comprehensively known, the breath acquisition unit can accurately acquire the breath depth data of the target patient by analyzing the breath audio frequency, and the blood pressure acquisition unit can accurately acquire the blood pressure data of the target patient by analyzing the blood pressure fluctuation image, so that a more comprehensive and reliable diagnosis basis is provided for medical staff, the medical staff can rapidly diagnose and treat the patient, the diagnosis accuracy and efficiency are improved, the waiting time of the patient is reduced, and the diagnosis efficiency of the patient is improved.
Particularly, the audio frequency acquisition subunit is used for acquiring respiratory audio frequency of a target patient, providing a basis for subsequent extraction of respiratory depth data, the audio frequency processing subunit is used for carrying out filtering processing on the acquired respiratory audio frequency, so that environmental noise and other unnecessary interference are effectively removed, the signal to noise ratio of the respiratory audio frequency is improved, the subsequent analysis is more accurate, the audio frequency analysis subunit is used for converting the processed respiratory audio frequency into an audio signal, the amplitude of the audio signal is extracted to draw an amplitude change curve, the change of the intensity of the respiratory audio frequency is intuitively displayed, an accurate data basis is provided for subsequent acquisition of respiratory depth data, the respiratory data acquisition subunit is used for extracting a plurality of respiratory periods in the amplitude change curve, the amplitude change of an inhalation stage is calculated to serve as respiratory depth data, the respiratory depth of a patient is accurately quantized, the respiratory information of the patient is provided more precisely and accurately for medical staff, and accurate data support is provided for diagnosis and treatment of the patient in time.
In particular, the drawing subunit is arranged to collect the blood pressure data of the upper arm of the target patient in real time and draw a blood pressure fluctuation map, so that medical staff can know the blood pressure change condition of the patient in real time, timely find out blood pressure abnormality is ensured, timely medical diagnosis and treatment are provided for the patient, the fluctuation map analysis subunit is arranged to calculate pulse pressure difference according to the maximum peak value and the minimum peak value of the blood pressure in the blood pressure fluctuation map, accurately reflect the fluctuation condition of the blood pressure of the patient, provide more accurate blood pressure data for the medical staff, and display the change trend of the blood pressure data in a graphical mode through the blood pressure fluctuation map, so that the medical staff can more intuitively observe and understand the blood pressure state of the patient, provide accurate support for subsequent diagnosis and treatment, and the pulse pressure difference is used as an important index for evaluating the elasticity of blood vessels and cardiovascular health, can more comprehensively reflect the blood pressure condition of the patient, provide more data basis for the diagnosis and treatment of the medical staff, further improve the diagnosis and treatment effect, and better guarantee the health of the patient.
In particular, through setting up the historical medical information of storage unit storage a plurality of patients for to the target patient, through extracting its historical medical information, for the medical staff provides more comprehensive, patient's current state of illness of long-term, help understanding more accurately, make preliminary medical diagnosis information judges accurately, through setting up the medical information judges that the unit obtains preliminary medical diagnosis information according to historical medical information, provides preliminary diagnosis direction for the medical staff fast, has reduced the time and the complexity of diagnosis, has improved diagnosis efficiency, through setting up the selection unit confirms the target monitoring data in the real-time sign data according to preliminary medical diagnosis information and is respiratory depth data or blood pressure data, has improved the pertinence of data and the accuracy of diagnosing, and then has improved medical service's overall quality and efficiency.
In particular, the extraction unit is arranged to extract the respiration depth monitoring value or the blood pressure monitoring value pertinently according to the determination result of the target monitoring data, so that the invalid data processing process is avoided, the data processing efficiency and accuracy are improved, the respiration depth monitoring value is compared with the preset standard respiration depth range by the respiration judging unit, whether the respiration depth monitoring value is abnormal or not is accurately judged, the accurate evaluation of the respiration health of a patient is provided for medical staff, the timely discovery of the respiration-related health problem is facilitated, the blood pressure judging unit is arranged to accurately judge whether the blood pressure monitoring value is abnormal or not by drawing a blood pressure monitoring value graph and comparing the blood pressure monitoring value graph with the preset standard blood pressure monitoring value graph, a more reliable blood pressure data analysis method is provided for medical staff, the health state of the target patient in the current monitoring period is comprehensively judged by the determination unit according to the results of the respiration judging unit and the blood pressure judging unit, the health condition of the patient is more comprehensively reflected, and more comprehensive diagnosis basis is provided for the medical staff, and accordingly the quality and effect of the whole medical service are improved.
Drawings
FIG. 1 is a first block diagram of a big data based medical health data management system according to an embodiment of the present invention;
FIG. 2 is a second block diagram of a big data based medical health data management system according to an embodiment of the present invention;
FIG. 3 is a third block diagram of a big data based medical health data management system according to an embodiment of the present invention;
fig. 4 is a fourth structural block diagram of a big data based medical health data management system according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
It should be noted that, in the description of the present invention, terms such as "upper," "lower," "left," "right," "inner," "outer," and the like indicate directions or positional relationships based on the directions or positional relationships shown in the drawings, which are merely for convenience of description, and do not indicate or imply that the apparatus or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1, the present invention provides a medical health data management system based on big data, the system comprising:
the acquisition module 10 acquires real-time physical sign data in the monitoring process;
the selection module 20 is connected with the acquisition module 10 and is used for acquiring preliminary medical diagnosis information of a target patient, and selecting target monitoring data in the real-time physical sign data according to the preliminary medical diagnosis information, wherein the number of the target monitoring data is smaller than that of the real-time physical sign data;
the extracting module 30 is configured to extract a monitoring value of the target monitoring data, and determine a health state of the target patient in a current monitoring period;
the prediction module 40 is respectively connected with the extraction module 30 and the selection module 20, and is used for predicting the item to be checked in the next monitoring period according to the health state and the change trend of the target monitoring data;
the management terminal 50 is respectively connected with the prediction module 40 and the actual examination apparatuses, and is used for locking the corresponding target examination apparatus according to the to-be-examined item so as to complete the to-be-examined item of the target patient by using the target examination apparatus in the next monitoring period.
Specifically, the embodiment of the invention acquires the physical sign data of the patient in real time through the acquisition module, comprehensively and accurately knows the condition of the patient, ensures that abnormal physical sign data of the patient is observed in real time and timely carries out medical treatment on the patient, screens out target monitoring data from the real-time physical sign data according to the preliminary medical diagnosis information of the patient through the selection module, so as to pay close attention to the data closely related to the condition of the patient aiming at the specific condition of different patients, improves the accuracy of diagnosis, extracts the monitoring value of the target monitoring data through the extraction module, determines the health state of the patient in the current monitoring period, is beneficial to comprehensively knowing the condition of the patient, provides accurate basis for subsequent treatment, improves the accuracy of subsequent monitoring judgment, predicts the items to be checked in the next monitoring period according to the health state of the patient and the change trend of the target monitoring data, helps medical staff to plan the examination items of the patient in advance, improves the efficiency of the patient, timely carries out medical treatment on the patient, ensures the safety of the patient treatment, improves the accuracy of the treatment, and the medical examination equipment is suitable for the patient to be checked in the medical examination, and the medical examination is guaranteed to be properly optimized according to the setting the management terminal, and the monitoring items are locked by the monitoring items.
Referring to fig. 2, the acquisition module 10 includes a breath acquisition unit 11 and a blood pressure acquisition unit 12, wherein,
the breath acquisition unit 11 is configured to acquire breath audio of a target patient in real time, analyze the breath audio, and acquire breath depth data of the target patient according to an audio analysis result;
the blood pressure acquisition unit 12 is configured to acquire a blood pressure fluctuation map of a target patient in real time, and acquire blood pressure data of the target patient according to a fluctuation map analysis result by analyzing the blood pressure fluctuation map;
the real-time sign data includes the depth of breath data and the blood pressure data.
Specifically, the embodiment of the invention is beneficial to more comprehensively knowing the physiological state of the patient by setting the breath acquisition unit and the blood pressure acquisition unit to acquire the breath audio frequency and the blood pressure fluctuation graph of the target patient in real time, the breath acquisition unit accurately acquires the breath depth data of the target patient by analyzing the breath audio frequency, and the blood pressure acquisition unit accurately acquires the blood pressure data of the target patient by analyzing the blood pressure fluctuation graph, thereby providing more comprehensive and reliable diagnosis basis for medical staff, enabling the medical staff to rapidly diagnose and treat, further improving the accuracy and efficiency of diagnosis and treatment, reducing the waiting time of the patient and improving the treatment efficiency of the patient.
Referring to fig. 3, the breath acquisition unit 11 includes an audio acquisition sub-unit 111, an audio processing sub-unit 112, an audio analysis sub-unit 113, and a breath data acquisition sub-unit 114, wherein,
the audio acquisition subunit 111 is configured to acquire respiratory audio of the target patient through the sound sensor;
the audio processing subunit 112 is connected to the audio acquisition subunit 111, and is configured to perform filtering processing on the respiratory audio through a filter;
the audio analysis subunit 113 is connected to the audio processing subunit 112, and is configured to convert the processed respiratory audio into an audio signal, and draw an amplitude variation curve by extracting an amplitude of the audio signal;
the breath data obtaining subunit 114 is connected to the audio analyzing subunit 113, and is configured to extract a plurality of breath cycles in the amplitude variation curve, calculate amplitude variation amounts of inspiration phases in the plurality of breath cycles, and use the amplitude variation amounts as the breath depth data.
Specifically, the embodiment of the invention collects the respiratory audio of the target patient through the audio collection subunit, provides a basis for the subsequent extraction of the respiratory depth data, carries out filtering treatment on the collected respiratory audio through the audio processing subunit, effectively removes environmental noise and other unnecessary interference, improves the signal to noise ratio of the respiratory audio, enables the subsequent analysis to be more accurate, converts the processed respiratory audio into an audio signal through the audio analysis subunit, extracts the amplitude of the audio to draw an amplitude change curve, intuitively displays the intensity change of the respiratory audio, provides an accurate data basis for the subsequent acquisition of the respiratory depth data, extracts a plurality of respiratory cycles in the amplitude change curve through the respiratory data acquisition subunit, calculates the amplitude change of an inhalation phase as the respiratory depth data, accurately quantifies the respiratory depth of the patient, provides finer and more accurate respiratory information of the patient for medical staff, and further provides accurate data support for the diagnosis and treatment related to the respiration of the patient, and enables the patient to be diagnosed in time.
Specifically, the blood pressure acquisition unit 12 includes a drawing subunit, a fluctuation map analysis subunit, and a blood pressure data acquisition subunit, wherein,
the drawing subunit is used for collecting blood pressure data of the upper arm of the target patient in real time, drawing a plurality of blood pressure data according to the collecting time, and obtaining the blood pressure fluctuation graph;
the fluctuation map analysis subunit is connected with the drawing subunit and used for calculating a plurality of pulse pressure differences in the blood pressure fluctuation map according to a plurality of maximum blood pressure peaks and a plurality of minimum blood pressure peaks of the blood pressure in the blood pressure fluctuation map;
the blood pressure data acquisition subunit is connected with the fluctuation graph analysis subunit and is used for taking a plurality of pulse pressure differences as the blood pressure data.
Specifically, the embodiment of the invention collects the blood pressure data of the upper arm of the target patient in real time by setting the drawing subunit, draws the blood pressure fluctuation diagram, so that medical staff can know the blood pressure change condition of the patient in real time, timely find out blood pressure abnormality, provide timely medical diagnosis and treatment for the patient, accurately reflect the fluctuation condition of the blood pressure of the patient by setting the fluctuation diagram analysis subunit according to the maximum peak value and the minimum peak value of the blood pressure in the blood pressure fluctuation diagram, provide more accurate blood pressure data for the medical staff, display the change trend of the blood pressure data in a graphical mode by setting the blood pressure fluctuation diagram, enable the medical staff to more intuitively observe and understand the blood pressure state of the patient, provide accurate support for subsequent diagnosis and treatment, and the pulse pressure difference is used as an important index for evaluating the blood vessel elasticity and cardiovascular health, can more comprehensively reflect the blood pressure condition of the patient, provide more data basis for the diagnosis and treatment of the medical staff, further promote the diagnosis and treatment effect, and better guarantee the health of the patient.
Referring to fig. 4, the selection module 20 includes a storage unit 21, a judgment unit 22, and a selection unit 23, wherein,
the storage unit 21 is used for storing historical medical information of a plurality of patients;
the medical information judging unit 22 is connected with the storage unit 21, and is used for extracting the historical medical information of the target patient in the storage unit 21 and acquiring the preliminary medical diagnosis information according to the historical medical information;
the selecting unit 23 is connected to the judging unit 22, and is configured to determine, according to the preliminary medical diagnosis information, whether the target monitoring data in the real-time physical sign data is the respiration depth data or the blood pressure data.
Specifically, the embodiment of the invention stores the historical medical information of a plurality of patients by arranging the storage unit, so that for the target patients, the historical medical information of the target patients is extracted, the more comprehensive and long-term patient medical information is provided for medical staff, the current illness state of the patients can be more accurately understood, the preliminary medical diagnosis information is accurately judged, the preliminary medical diagnosis information is acquired by arranging the medical information judging unit according to the historical medical information, the preliminary diagnosis direction is rapidly provided for the medical staff, the diagnosis time and complexity are reduced, the diagnosis efficiency is improved, the target monitoring data in the real-time physical sign data is determined to be respiratory depth data or blood pressure data by arranging the selection unit according to the preliminary medical diagnosis information, the pertinence of the data and the accuracy of diagnosis are improved, and the overall quality and efficiency of medical services are further improved.
Specifically, the judging unit 22 includes an extracting subunit and an acquiring subunit, wherein,
the extraction subunit is used for matching the information of the target patient with the information of the plurality of patients and extracting the historical medical information corresponding to the patients with the same matching result;
the medical information acquisition subunit is connected with the extraction subunit and is used for analyzing the historical medical information and judging whether the historical respiratory depth data and the blood pressure data in the historical medical information are abnormal or not, and if the abnormal situation occurs, the judging result is used as the preliminary medical diagnosis information.
Specifically, the extraction module 30 includes an extraction unit, a respiration judgment unit, a blood pressure judgment unit, and a determination unit, wherein,
the extraction unit is used for extracting a respiration depth monitoring value of the respiration depth data or a blood pressure monitoring value of the blood pressure data according to a determination result of the target monitoring data;
the respiration judging unit is used for comparing the respiration depth monitoring value with a preset standard respiration depth range and judging whether the respiration depth monitoring value is abnormal or not according to a comparison result;
the blood pressure judging unit is used for drawing a blood pressure monitoring value graph according to the blood pressure monitoring value, comparing the change trend of the blood pressure monitoring value graph with the change trend in a preset standard blood pressure monitoring value graph in a similarity mode, and judging whether the blood pressure monitoring value is abnormal or not according to the similarity comparison result;
the determining unit is connected with the respiration judging unit and the blood pressure judging unit and is used for determining that the respiration health state of the target patient in the current monitoring period is poor when the respiration depth monitoring value is not in the standard respiration depth range, and determining that the blood pressure health state of the target patient in the current monitoring period is poor when the similarity result is smaller than the preset similarity.
Specifically, the embodiment of the invention pointedly extracts the respiration depth monitoring value or the blood pressure monitoring value according to the determined result of the target monitoring data by setting the extracting unit, avoids the invalid data processing process, improves the data processing efficiency and accuracy, accurately judges whether the respiration depth monitoring value is abnormal by setting the respiration judging unit to compare the respiration depth monitoring value with the preset standard respiration depth range, provides accurate assessment of the respiration health of a patient for medical staff, is beneficial to timely finding the health problem related to respiration, accurately judges whether the blood pressure monitoring value is abnormal by setting the blood pressure judging unit through drawing a blood pressure monitoring value graph and comparing the blood pressure monitoring value with the preset standard blood pressure monitoring value graph, provides a more reliable blood pressure data analysis method for medical staff, comprehensively judges the health state of the target patient in the current monitoring period according to the results of the respiration judging unit and the blood pressure judging unit, more comprehensively reflects the health condition of the patient, and provides more comprehensive diagnosis basis for the medical staff, thereby improving the quality and effect of the whole medical service.
Specifically, the prediction module 40 includes a trend acquisition unit and an analysis unit, wherein,
the trend acquisition unit is used for drawing a respiration depth trend chart or a blood pressure trend chart according to the respiration depth monitoring value or the blood pressure monitoring value;
the analysis module is connected with the trend acquisition unit and is used for detecting lung function of an item to be detected in the next period when the amplitude change in the respiration depth trend chart is not in a preset amplitude change range and the health state of the target patient in the current monitoring period is respiratory health state difference, and detecting electrocardiogram of the item to be detected in the next period when the blood pressure trend chart is continuously increased or continuously decreased and the health state of the target patient in the current monitoring period is blood pressure health state difference.
In particular, the management terminal 50 includes an instrument selection unit, an instrument check unit, and a person monitoring unit, wherein,
the instrument selection unit is used for identifying a plurality of actual examination instruments and determining the corresponding target examination instrument according to the item to be examined;
the instrument checking unit is connected with the instrument selecting unit 23 and is used for detecting the target checking instrument and determining that the target checking instrument can be normally used;
the personnel monitoring unit and the instrument checking unit are used for completing the items to be checked of the target patient for the target patient through the target checking instrument.
In particular, the instrument identification unit comprises an instrument storage subunit and an identification subunit, wherein,
the instrument storage subunit is used for storing a plurality of actual examination instruments and corresponding instrument uses thereof;
the identification subunit is connected with the instrument storage subunit and used for matching the to-be-inspected item with the instrument application, and selecting a corresponding instrument as the target inspection instrument according to a matching result.
Specifically, the embodiment of the invention is beneficial to providing reliable data support for subsequent instrument selection and use by arranging the instrument storage subunit to store and manage various instruments and corresponding application information thereof, and rapidly finding out the instrument matched with the target examination item by arranging the identification subunit to match the examination item with the instrument application, thereby improving the efficiency and accuracy of instrument selection, avoiding time and resource waste caused by selection errors, and ensuring that each examination item can find the most suitable instrument for examination, thereby improving the accuracy and effect of examination.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. 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 big data based medical health data management system, comprising:
the acquisition module is used for acquiring real-time sign data in the monitoring process;
the selection module is connected with the acquisition module and used for acquiring preliminary medical diagnosis information of a target patient, and selecting target monitoring data in the real-time physical sign data according to the preliminary medical diagnosis information, wherein the number of the target monitoring data is smaller than that of the real-time physical sign data;
the extraction module is used for extracting the monitoring value of the target monitoring data and determining the health state of the target patient in the current monitoring period;
the prediction module is respectively connected with the extraction module and the selection module and is used for predicting the item to be checked in the next monitoring period according to the health state and the change trend of the target monitoring data;
and the management terminal is respectively connected with the prediction module and the plurality of actual examination instruments and is used for locking the corresponding target examination instrument according to the to-be-examined item so as to complete the to-be-examined item of the target patient by using the target examination instrument in the next monitoring period.
2. The big data based medical health data management system of claim 1, wherein the acquisition module comprises a breath acquisition unit and a blood pressure acquisition unit, wherein,
the breath acquisition unit is used for acquiring breath audio of a target patient in real time, analyzing the breath audio and acquiring breath depth data of the target patient according to an audio analysis result;
the blood pressure acquisition unit is used for acquiring a blood pressure fluctuation graph of a target patient in real time, analyzing the blood pressure fluctuation graph and acquiring blood pressure data of the target patient according to a fluctuation graph analysis result;
the real-time sign data includes the depth of breath data and the blood pressure data.
3. The big data based medical health data management system of claim 2, wherein the respiratory acquisition unit comprises an audio acquisition sub-unit, an audio processing sub-unit, an audio analysis sub-unit, and a respiratory data acquisition sub-unit, wherein,
the audio acquisition subunit is used for acquiring respiratory audio of a target patient through the sound sensor;
the audio processing subunit is connected with the audio acquisition subunit and used for filtering the respiratory audio through a filter;
the audio analysis subunit is connected with the audio processing subunit and used for converting the processed respiratory audio into an audio signal, extracting the amplitude of the audio signal and drawing an amplitude change curve;
the breath data acquisition subunit is connected with the audio analysis subunit and is used for extracting a plurality of breath periods in the amplitude variation curve, calculating the amplitude variation of the inspiration phases in the breath periods and taking the amplitude variation as the breath depth data.
4. The big data based medical health data management system as set forth in claim 3, wherein the blood pressure acquisition unit comprises a drawing subunit, a wave pattern analysis subunit, and a blood pressure data acquisition subunit, wherein,
the drawing subunit is used for collecting blood pressure data of the upper arm of the target patient in real time, drawing a plurality of blood pressure data according to the collecting time, and obtaining the blood pressure fluctuation graph;
the fluctuation map analysis subunit is connected with the drawing subunit and used for calculating a plurality of pulse pressure differences in the blood pressure fluctuation map according to a plurality of maximum blood pressure peaks and a plurality of minimum blood pressure peaks of the blood pressure in the blood pressure fluctuation map;
the blood pressure data acquisition subunit is connected with the fluctuation graph analysis subunit and is used for taking a plurality of pulse pressure differences as the blood pressure data.
5. The big data based medical health data management system of claim 4, wherein the selection module comprises a storage unit, a judgment unit, and a selection unit, wherein,
the storage unit is used for storing historical medical information of a plurality of patients;
the medical information judging unit is connected with the storage unit and used for extracting the historical medical information of the target patient in the storage unit and acquiring the preliminary medical diagnosis information according to the historical medical information;
the selection unit is connected with the judging unit and used for determining that target monitoring data in the real-time physical sign data are the respiratory depth data or the blood pressure data according to the preliminary medical diagnosis information.
6. The big data based medical health data management system of claim 5, wherein the judging unit comprises an extracting sub-unit and an acquiring sub-unit, wherein,
the extraction subunit is used for matching the information of the target patient with the information of the plurality of patients and extracting the historical medical information corresponding to the patients with the same matching result;
the medical information acquisition subunit is connected with the extraction subunit and is used for analyzing the historical medical information and judging whether the historical respiratory depth data and the blood pressure data in the historical medical information are abnormal or not, and if the abnormal situation occurs, the judging result is used as the preliminary medical diagnosis information.
7. The big data based medical health data management system of claim 6, wherein the extraction module comprises an extraction unit, a respiration judgment unit, a blood pressure judgment unit, and a determination unit, wherein,
the extraction unit is used for extracting a respiration depth monitoring value of the respiration depth data or a blood pressure monitoring value of the blood pressure data according to a determination result of the target monitoring data;
the respiration judging unit is used for comparing the respiration depth monitoring value with a preset standard respiration depth range and judging whether the respiration depth monitoring value is abnormal or not according to a comparison result;
the blood pressure judging unit is used for drawing a blood pressure monitoring value graph according to the blood pressure monitoring value, comparing the change trend of the blood pressure monitoring value graph with the change trend in a preset standard blood pressure monitoring value graph in a similarity mode, and judging whether the blood pressure monitoring value is abnormal or not according to the similarity comparison result;
the determining unit is connected with the respiration judging unit and the blood pressure judging unit and is used for determining that the respiration health state of the target patient in the current monitoring period is poor when the respiration depth monitoring value is not in the standard respiration depth range, and determining that the blood pressure health state of the target patient in the current monitoring period is poor when the similarity result is smaller than the preset similarity.
8. The big data based medical health data management system of claim 7, wherein the prediction module comprises a trend acquisition unit and an analysis unit, wherein,
the trend acquisition unit is used for drawing a respiration depth trend chart or a blood pressure trend chart according to the respiration depth monitoring value or the blood pressure monitoring value;
the analysis module is connected with the trend acquisition unit and is used for detecting lung function of an item to be detected in the next period when the amplitude change in the respiration depth trend chart is not in a preset amplitude change range and the health state of the target patient in the current monitoring period is respiratory health state difference, and detecting electrocardiogram of the item to be detected in the next period when the blood pressure trend chart is continuously increased or continuously decreased and the health state of the target patient in the current monitoring period is blood pressure health state difference.
9. The big data based medical health data management system of claim 8, wherein the management terminal comprises an instrument selection unit, an instrument check unit and a person monitoring unit, wherein,
the instrument selection unit is used for identifying a plurality of actual examination instruments and determining the corresponding target examination instrument according to the item to be examined;
the instrument checking unit is connected with the instrument selecting unit and used for detecting the target checking instrument and determining that the target checking instrument can be normally used;
the personnel monitoring unit and the instrument checking unit are used for completing the items to be checked of the target patient for the target patient through the target checking instrument.
10. The big data based medical health data management system of claim 9, wherein the instrument identification unit comprises an instrument storage subunit and an identification subunit, wherein,
the instrument storage subunit is used for storing a plurality of actual examination instruments and corresponding instrument uses thereof;
the identification subunit is connected with the instrument storage subunit and used for matching the to-be-inspected item with the instrument application, and selecting a corresponding instrument as the target inspection instrument according to a matching result.
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