Osteoporosis cloud diagnosis and treatment system

By using a dual-technology ultrasonic bone densitometer and a cloud-based diagnostic system, the accuracy of local osteoporosis detection and remote diagnosis and treatment have been achieved. This solves the problems of accuracy and resource balancing in existing osteoporosis detection technologies, and improves the detection and treatment of fracture risks.

CN121034584APending Publication Date: 2025-11-28THE NINTH MEDICAL CENTER OF THE GENERAL HOSPITAL OF THE PEOPLES LIBERATION ARMY OF CHINA
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Patent Information

Application Number
CN202511017819.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-23
Publication Date
2025-11-28

AI Technical Summary

Technical Problem

Existing bone density tests and laboratory examinations cannot accurately reflect the bone quality of key areas, nor can they accurately detect common sites of osteoporosis and stress fractures, which increases the risk of stress fractures, especially in complex military environments.

Method used

A dual-transmitter ultrasonic bone densitometer is used for local bone quality testing. Combined with a cloud-based diagnostic system, it enables patient record storage and physician terminal analysis. The information transmission module coordinates testing, diagnosis, follow-up examination, and monitoring.

Benefits of technology

It has improved the accuracy and precision of osteoporosis detection, enabled remote diagnosis and treatment by physicians, alleviated the problem of uneven distribution of medical resources, and reduced the adverse effects of osteoporosis.

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Abstract

The invention provides an osteoporosis cloud diagnosis and treatment system, which comprises a detection and acquisition module, which is used for carrying out patient registration on a to-be-examined person, and carrying out ultrasonic detection on a measured part by adopting a double-transmitting technology through an ultrasonic bone mineral density instrument after the patient is registered and logged in, so as to obtain patient detection information; the cloud service module obtains patient detection information through the information transmission module, and carries out patient file creation and information storage updating on the cloud according to the patient detection information; and the doctor terminal module calls the patient file in the cloud service module through the information transmission module, performs osteoporosis analysis according to the patient file to obtain illness state analysis data, then obtains a doctor diagnosis result based on the illness state analysis data, and feeds back the doctor diagnosis result to the detection and acquisition module through the information transmission module. Ultrasonic detection is carried out by adopting a double-shot technology, local bone quality detection can be realized, the bone detection precision is improved, and a guarantee is provided for a doctor to carry out osteoporosis diagnosis and treatment on a patient.
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Description

Technical Field

[0001] This invention relates to the field of medical information technology, and in particular to a cloud-based osteoporosis diagnosis and treatment system. Background Technology

[0002] With the increasing aging of the global population, osteoporosis has become a serious public health problem, affecting not only quality of life but also threatening human health. Osteoporosis is essentially a metabolic bone disease characterized by reduced bone mass and destruction of bone microstructure, leading to increased bone fragility and a higher risk of fractures. In particular, stress fractures have become a common military training injury. Moreover, high-intensity and high-difficulty military training, as well as complex military environments such as weightlessness or deep diving, can cause rapid bone loss, further increasing the risk of stress fractures. Therefore, the detection and treatment of osteoporosis have significant military value and social importance.

[0003] Currently, conventional bone density tests and laboratory examinations can only reflect the overall calcium status of the human body and cannot accurately reflect the bone quality of key areas. Moreover, both osteoporosis and stress fractures have their common sites, making precise detection impossible. Therefore, this invention proposes a cloud-based osteoporosis diagnosis and treatment system that uses dual-transmission ultrasound technology to achieve local bone quality detection, improve the accuracy of bone detection, and provide physicians with assurance for diagnosing and treating osteoporosis in patients. Summary of the Invention

[0004] The purpose of this invention is to provide a cloud-based osteoporosis diagnosis and treatment system to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a cloud-based osteoporosis diagnosis and treatment system, comprising:

[0006] The detection and acquisition module is used to register patients for examination and, after the patient registers and logs in, to perform ultrasound detection on the measurement site using a dual-transmission ultrasonic bone densitometer to obtain the patient's detection information.

[0007] The cloud service module is used to acquire patient test information through the information transmission module, and to create and update patient files and information storage in the cloud based on the patient test information.

[0008] The physician terminal module is used to retrieve patient files from the cloud service module through the information transmission module, perform osteoporosis analysis based on the patient files, obtain disease analysis data, obtain physician diagnosis results based on the disease analysis data, and then feed back the physician diagnosis results to the detection and acquisition module through the information transmission module.

[0009] Furthermore, the detection and acquisition module includes: a patient terminal unit and a detection and acquisition unit;

[0010] The patient terminal unit is used for patient registration and login for those to be examined, as well as for providing feedback on the physician's diagnostic results.

[0011] The detection and acquisition unit is used to perform ultrasound detection using a dual-transmission technique with an ultrasound bone densitometer to obtain patient detection information.

[0012] Furthermore, the detection and acquisition unit performs ultrasound detection using a dual-transmission technique with an ultrasonic bone densitometer, including:

[0013] The process involves three steps: 1) **Status Analysis:** First, the examinee's basic information is determined, and initial status information is acquired to obtain initial status analysis data. This data is then matched and analyzed, and the results are revised based on the examinee's basic information to arrive at the initial status analysis judgment result. 2) **Measurement Area:** The measurement area is determined based on the measurement site. This area is cleaned to determine if contaminants are present, and the contaminant-free area is designated as the target measurement area. 3) **Skin Reaction Information:** Skin reaction information is acquired based on the target measurement area, and skin reaction phenomena are analyzed to determine if the skin is in a relaxed state, resulting in a second sub-analysis result. 4) **Muscle Status Information:** Muscle status information is acquired based on the target measurement area, and muscle tension is analyzed. Muscle tension is then used to determine if the muscles are in a relaxed state, resulting in a third sub-analysis result. 5) **Combining the initial status analysis judgment result, the second sub-analysis result, and the third sub-analysis result to determine if the examinee meets the conditions for ultrasound examination, resulting in the first analysis judgment result.

[0014] Based on the first analysis and judgment results, the detection probes are arranged according to the detection plan, and ultrasonic signals are detected longitudinally using dual-transmission technology through the detection probes to obtain ultrasonic detection signals and obtain sound wave propagation velocity information and amplitude attenuation information.

[0015] Based on the sound wave propagation velocity and amplitude attenuation information, bone density and bone strength will be analyzed and evaluated at the measurement site to obtain osteoporosis detection data for the measurement site.

[0016] Furthermore, when arranging the detection probes according to the detection plan based on the initial analysis and judgment results, adjustments are made to the detection probes, including:

[0017] Determine the initial position of the detection probe;

[0018] Test signals are transmitted using dual-transmission technology based on the initial position;

[0019] The test signal is received and acquired using dual-receiver technology to obtain the ultrasound detection signal. The ultrasound detection signal is then analyzed to determine whether the ultrasound device is parallel to the bone being tested, and the test analysis results are obtained.

[0020] The position of the detection probe is adjusted based on the test analysis results, and the test signal is transmitted and the ultrasonic detection signal is acquired using dual-transmit and dual-receive technology based on the adjusted position to obtain the updated ultrasonic detection signal.

[0021] The updated ultrasound detection signal is analyzed to determine whether the ultrasound device is parallel to the bone being tested, and the test analysis results are confirmed.

[0022] Repeat the adjustment multiple times until the ultrasound device is parallel to the bone being tested, and then take the position of the detection probe at this point as the final detection probe position.

[0023] Furthermore, the physician terminal module includes: a data analysis unit, an information presentation unit, and an information collection unit;

[0024] The data analysis unit is used to perform osteoporosis analysis based on patient records to obtain disease analysis data;

[0025] The information presentation unit is used to present feedback on the disease analysis data;

[0026] The information collection unit is used to obtain the diagnostic results of physicians based on the analysis data of the patient's condition.

[0027] Furthermore, the data analysis unit performs osteoporosis analysis based on patient records, including:

[0028] Determine the latest patient testing information based on the patient's records, and obtain the patient's current age and gender;

[0029] Based on the patient's current age, an analysis is conducted to determine whether the patient is at high risk for osteoporosis.

[0030] When a patient is at high risk of osteoporosis, the latest bone mineral density analysis data of the patient is obtained by combining the osteoporosis detection standards of the same sex and age.

[0031] When the patient is not in a high-risk group for osteoporosis, the latest bone mineral density analysis data of the patient is obtained by combining the osteoporosis detection standards of the same sex and corresponding age group.

[0032] Furthermore, the data analysis unit also performs osteoporosis monitoring analysis on patients based on their patient records, including:

[0033] Based on the patient's records and the patient's latest bone mineral density analysis data, obtain the patient's historical bone mineral density analysis data at the corresponding measurement sites;

[0034] Based on the patient's measurement sites, osteoporosis change analysis was performed using the latest and historical bone mineral density analysis data to obtain osteoporosis change data;

[0035] An analysis of age changes in patients was conducted to obtain age change data.

[0036] Osteoporosis change data was combined with age change data to obtain osteoporosis monitoring data for the patient at the measurement site.

[0037] Furthermore, the information transmission module includes: a first transmission unit, a second transmission unit, and a third transmission unit.

[0038] The first transmission unit is located between the detection and acquisition module and the cloud service module. When the patient's detection information is obtained, it transmits the patient's detection information in real time.

[0039] The second transmission unit is located between the cloud service module and the physician terminal module. When the cloud service module updates the storage of patient file information, it transmits an update prompt to the physician terminal module. After the physician terminal module obtains the physician's information retrieval instruction, it transmits the information retrieval instruction to the cloud service module. Then, it transmits the target retrieval information obtained from the information retrieval instruction in the cloud service module to the physician terminal module.

[0040] The third transmission unit is located between the detection and acquisition module and the physician terminal module. It transmits the physician's diagnosis results to the detection and acquisition module and is also used for direct communication between doctors and patients.

[0041] Furthermore, the information collection unit employs multiple collection methods to collect information from physicians. These methods include manual collection and intelligent collection. When the collected information is a diagnostic result based on disease analysis data, the intelligent collection method is used to initiate the collection process for the physician. After initiation and identification, the physician's diagnostic result based on the disease analysis data is obtained. When the collected information is an information retrieval instruction for the cloud service module only, the manual collection method is used to manually collect information from the physician and determine the information retrieval instruction.

[0042] Furthermore, the cloud service module includes: an archive creation unit and an information update unit;

[0043] The file creation unit is used to analyze patient test information to determine whether the examiner is a historical patient. When the examiner is not a historical patient, a patient file is created for the examiner in the cloud and the patient test information is transferred to the information update unit. When the examiner is a historical patient, the patient test information is transferred to the information update unit.

[0044] The information update unit is used to match patient records in the cloud according to the information update unit, determine the target patient record, and update the information storage in the target patient record.

[0045] This invention employs dual-transmission ultrasound technology to achieve localized bone quality testing, improving the accuracy of bone detection and providing physicians with assurance for diagnosing and treating osteoporosis. Furthermore, the information transmission module coordinates and connects the examination and acquisition module, cloud service module, and physician terminal module, enabling physicians and patients to conduct diagnosis, follow-up, and monitoring even when they are in different locations. This effectively alleviates the problem of uneven distribution of medical resources, which prevents some areas from providing diagnosis, follow-up, and monitoring for osteoporosis patients, achieving medical resource sharing and mitigating the adverse effects of osteoporosis on patients. The cloud service module stores patient records in the cloud, allowing the osteoporosis cloud-based diagnosis and treatment system to archive records for more patients, thus improving the system's performance.

[0046] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the application.

[0047] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0048] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0049] Figure 1 This is the intent of the cloud-based osteoporosis diagnosis and treatment system described in this invention;

[0050] Figure 2 This is a schematic diagram of the detection and acquisition module in the osteoporosis cloud-based diagnosis and treatment system of the present invention;

[0051] Figure 3 This is a schematic diagram of the detection and acquisition unit steps of the detection and acquisition module in the osteoporosis cloud diagnosis and treatment system of the present invention;

[0052] Figure 4 This is a schematic diagram of the physician terminal module in the osteoporosis cloud-based diagnosis and treatment system of the present invention;

[0053] Figure 5 This is a schematic diagram of the osteoporosis analysis steps in the data analysis unit of the physician terminal module of the osteoporosis cloud diagnosis and treatment system described in this invention.

[0054] Figure 6 This is a schematic diagram of the osteoporosis monitoring and analysis steps in the data analysis unit of the physician terminal module of the osteoporosis cloud diagnosis and treatment system described in this invention.

[0055] Figure 7 This is a schematic diagram of the information transmission module in the osteoporosis cloud diagnosis and treatment system of the present invention;

[0056] Figure 8 This is a schematic diagram of the cloud service module in the osteoporosis cloud diagnosis and treatment system described in this invention. Detailed Implementation

[0057] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0058] like Figure 1 As shown, this embodiment of the invention provides a cloud-based osteoporosis diagnosis and treatment system, including:

[0059] The detection and acquisition module is used to register patients for examination and, after the patient registers and logs in, to perform ultrasound detection on the measurement site using a dual-transmission ultrasonic bone densitometer to obtain the patient's detection information.

[0060] The cloud service module is used to acquire patient test information through the information transmission module, and to create and update patient files and information storage in the cloud based on the patient test information.

[0061] The physician terminal module is used to retrieve patient files from the cloud service module through the information transmission module, perform osteoporosis analysis based on the patient files, obtain disease analysis data, obtain physician diagnosis results based on the disease analysis data, and then feed back the physician diagnosis results to the detection and acquisition module through the information transmission module.

[0062] In the above technical solution, the osteoporosis cloud diagnosis and treatment system includes: an examination and data acquisition module, an information transmission module, a cloud service module, and a physician terminal module; wherein, the information transmission module enables communication between the examination and data acquisition module, the cloud service module, and the physician terminal module.

[0063] The aforementioned technical solution employs dual-transmission ultrasound technology, enabling targeted ultrasound examination of the measurement site to clearly identify local osteoporosis conditions. This achieves localized bone quality assessment, improves the accuracy of bone detection, and provides a guarantee for physicians in diagnosing and treating osteoporosis patients. Furthermore, the information transmission module coordinates and connects the examination and acquisition module, cloud service module, and physician terminal module, allowing physicians and patients to conduct diagnosis, follow-up, and monitoring even when they are not in the same location. This effectively alleviates the problem of uneven distribution of medical resources, which prevents some areas from providing diagnosis, follow-up, and monitoring for osteoporosis patients, thus achieving medical resource sharing. It also mitigates the adverse effects of osteoporosis on patients. Moreover, the cloud service module stores patient records in the cloud, allowing the osteoporosis cloud-based diagnosis and treatment system to archive records for more patients, improving the system's performance.

[0064] In one embodiment provided by the present invention, such as Figure 2 As shown, the detection and acquisition module includes: a patient terminal unit and a detection and acquisition unit;

[0065] The patient terminal unit is used for patient registration and login for those to be examined, as well as for providing feedback on the physician's diagnostic results.

[0066] The detection and acquisition unit is used to perform ultrasound detection using a dual-transmission technique with an ultrasound bone densitometer to obtain patient detection information.

[0067] In the above technical solution, the patient terminal unit is associated with the detection and acquisition unit, and the detection and acquisition unit performs ultrasound detection after the person to be examined completes the patient login.

[0068] The above technical solution enables the management and testing of personnel to be examined through the patient terminal unit and the detection and acquisition unit. This ensures that the ultrasound bone densitometer performs ultrasound testing only when the patient is logged in, avoiding resource waste caused by examining unauthorized patients and ensuring the effectiveness of the osteoporosis cloud diagnosis and treatment system.

[0069] In one embodiment provided by the present invention, such as Figure 3 As shown, the detection and acquisition unit performs ultrasound detection using a dual-transmission technique with an ultrasonic bone densitometer, including:

[0070] S1. Analyze the state of the person to be examined to determine their basic information. Acquire first-state information to obtain first-state analysis data. Perform matching analysis on the first-state analysis data and revise the matching analysis results based on the person's basic information to obtain the first-state analysis judgment result. Determine the measurement area based on the measurement site, clean the measurement area, and determine if there are any contaminants. Select the contaminant-free measurement area as the target measurement area. Acquire skin reaction information based on the target measurement area and analyze the skin reaction phenomenon to determine if the skin is in a relaxed state, obtaining the second analysis sub-result. Acquire muscle state information based on the target measurement area and analyze muscle tension based on the muscle state information. Determine if the muscles are in a relaxed state based on muscle tension, obtaining the third analysis sub-result. Combine the first-state analysis judgment result, the second analysis sub-result, and the third analysis sub-result to determine whether the person to be examined meets the conditions for ultrasound examination, obtaining the first analysis judgment result.

[0071] S2. Based on the first analysis and judgment results, the detection probes are arranged according to the detection plan, and the ultrasonic signals are detected longitudinally using dual-transmission technology through the detection probes to obtain ultrasonic detection signals and obtain sound wave propagation velocity information and amplitude attenuation information.

[0072] S3. Based on the sound wave propagation velocity information and amplitude attenuation information, bone density and bone strength analysis and evaluation will be performed on the measurement site to obtain osteoporosis detection data of the measurement site.

[0073] In the above technical solution, the first-state information includes respiratory rate, heart rate, and blood pressure. When performing matching analysis and judgment on the first-state analysis data, the first-state information is matched according to information type and analysis and judgment standards to determine the first-state information data standard. Based on the first-state information data standard, a preliminary judgment is made on the corresponding first-state information to determine the preliminary judgment result. Then, combined with the basic information of the person being examined, an influencing factor analysis is performed on the first-state information such as respiratory rate, heart rate, and blood pressure. The preliminary judgment result is revised using the influencing factors to obtain the final first-state analysis and judgment result. The final first-state analysis and judgment result includes: the analysis and judgment result of respiratory rate, the analysis and judgment result of heart rate, the analysis and judgment result of blood pressure, etc. The first-state information data standard usually refers to the data conditions of a normal adult, such as: a respiratory rate of approximately 12-20 breaths per minute, and a heart rate of generally 60-100 beats per minute, etc.

[0074] In the above technical solution, the measurement area is cleaned, and when it is determined whether there are contaminants in the measurement area, if there are contaminants in the measurement area, a cleaning prompt is given based on the contamination identification result.

[0075] In the above technical solution, the second state analysis and judgment result includes: the second analysis sub-result and the third analysis sub-result.

[0076] In the above technical solution, skin reaction standards are pre-determined through experimental analysis to match reaction phenomena. This includes: identifying experimental subjects from different populations; conducting stress tests on these subjects; acquiring skin reaction information during the stress test; analyzing and summarizing skin reaction phenomena such as vasoconstriction, sympathetic nerve state, and sweat gland secretion based on the skin reaction information; obtaining sub-phenomenal performance information under stress conditions; and then summarizing this sub-phenomenal performance information to determine the skin reaction standards. When analyzing skin reaction phenomena based on the skin reaction information, a matching analysis is performed based on the skin reaction information and the skin reaction standards to obtain matching analysis data. Based on this matching analysis data, it is determined whether the person being examined is in a tense or relaxed state, thus obtaining the second analysis sub-result. Specifically, skin reaction phenomena refer to situations where, under stress, the skin may exhibit vasoconstriction leading to pallor or abnormal vasodilation leading to flushing, and stress may cause sympathetic nerve excitation, stimulating sweat gland secretion, etc.

[0077] In the above technical solution, when determining whether the person to be inspected meets the conditions for ultrasound testing by comprehensively considering the results of the first state analysis and judgment, the second analysis sub-result, and the third analysis sub-result, a comprehensive evaluation is performed based on the results of the first state analysis and judgment, the second analysis sub-result, and the third analysis sub-result. The probability of the person to be inspected being nervous is analyzed and calculated. If the probability of the person to be inspected being nervous exceeds a preset value, the first analysis and judgment result is determined to be that the person to be inspected does not meet the conditions for ultrasound testing.

[0078] In the above technical solution, when the detection probe is arranged according to the detection plan based on the first analysis and judgment results, if it is a single measurement site, it is only necessary to arrange the detection probe to the specific measurement site. If it is multiple measurement sites, the detection order is determined for the measurement sites, and the detection probe is arranged and detected in sequence according to the detection order. The measurement sites are usually the calcaneus, radius, or tibia, etc.

[0079] In the above technical solution, bone density and bone strength analysis and evaluation will be performed on the measurement site based on sound wave propagation velocity information and amplitude attenuation information, including: bone strength analysis based on sound wave propagation velocity information to evaluate the bone density of the measurement site and obtain first evaluation data; bone strength analysis based on amplitude attenuation information to evaluate the bone density of the measurement site and obtain second evaluation data; and comprehensive analysis of the first evaluation data and the second evaluation data to obtain osteoporosis detection data of the measurement site.

[0080] The aforementioned technical solution analyzes the patient's condition during ultrasound examination, ensuring the patient is in a good state and avoiding issues such as muscle tension and skin impurities affecting ultrasound signal transmission. This reduces errors in ultrasound signal transmission, ensures the accuracy of sound wave propagation velocity and amplitude attenuation information, and improves the precision of bone detection. This provides physicians with a guarantee for diagnosing and treating osteoporosis. Furthermore, the dual-transmitter technology using a longitudinal ultrasound probe is non-invasive, radiation-free, and does not cause adverse experiences for the patient. It also reduces errors, enabling precise detection of bone density and bone structure, providing important evidence for the diagnosis and treatment of osteoporosis and other bone diseases.

[0081] In one embodiment of the present invention, when arranging the detection probes according to the detection plan based on the first analysis and judgment result, the detection probes are adjusted for detection, including:

[0082] Determine the initial position of the detection probe;

[0083] Test signals are transmitted using dual-transmission technology based on the initial position;

[0084] The test signal is received and acquired using dual-receiver technology to obtain the ultrasound detection signal. The ultrasound detection signal is then analyzed to determine whether the ultrasound device is parallel to the bone being tested, and the test analysis results are obtained.

[0085] The position of the detection probe is adjusted based on the test analysis results, and the test signal is transmitted and the ultrasonic detection signal is acquired using dual-transmit and dual-receive technology based on the adjusted position to obtain the updated ultrasonic detection signal.

[0086] The updated ultrasound detection signal is analyzed to determine whether the ultrasound device is parallel to the bone being tested, and the test analysis results are confirmed.

[0087] Repeat the adjustment multiple times until the ultrasound device is parallel to the bone being tested, and then take the position of the detection probe at this point as the final detection probe position.

[0088] In the above technical solution, when adjusting the position of the detection probe based on the test analysis results, if the test analysis results show that the ultrasound device is parallel to the bone being tested, then there is no need to repeat the adjustment multiple times, and ultrasound detection can be performed directly. If the test analysis results show that the ultrasound device is not parallel to the bone being tested, the position of the detection probe should be gradually fine-tuned until the ultrasound device is parallel to the bone being tested.

[0089] The above technical solution reduces errors caused by inaccurate probe positioning during ultrasound testing by adjusting the detection probe, thereby improving the accuracy of ultrasound testing and ultimately enhancing the precision of osteoporosis detection data.

[0090] In one embodiment provided by the present invention, such as Figure 4 As shown, the physician terminal module includes: a data analysis unit, an information presentation unit, and an information collection unit;

[0091] The data analysis unit is used to perform osteoporosis analysis based on patient records to obtain disease analysis data;

[0092] The information presentation unit is used to present feedback on the disease analysis data;

[0093] The information collection unit is used to obtain the diagnostic results of physicians based on the analysis data of the patient's condition.

[0094] In the above technical solution, when the information presentation unit presents feedback on the disease analysis data, it highlights key information in the disease analysis data before presenting the information. The key information refers to summary data, analysis results, etc.

[0095] In the above technical solution, the information collection unit also collects doctor-patient communication information for physicians.

[0096] The aforementioned technical solution, through a data analysis unit, an information presentation unit, and an information collection unit, enables physicians to directly obtain the necessary information from the physician terminal module, facilitating osteoporosis diagnosis for patients. The data analysis unit analyzes patient records, allowing physicians to directly diagnose patients based on the analyzed data, eliminating the need for physicians to read and analyze patient records, thus reducing time consumption and improving diagnostic efficiency. The information presentation and collection units enable interaction between physicians and the osteoporosis cloud-based diagnosis and treatment system. This not only allows physicians to intuitively understand the analyzed data and directly use it for patient diagnosis, providing convenience, but also enables them to directly obtain the diagnostic results based on the analyzed data, facilitating the communication of diagnostic findings.

[0097] In one embodiment provided by the present invention, such as Figure 5 As shown, the data analysis unit performs osteoporosis analysis based on patient records, including:

[0098] A1. Determine the latest patient testing information based on the patient's records, and obtain the patient's current age and gender;

[0099] A2. Analyze and judge based on the patient's current age to determine whether the patient is in a high-risk group for osteoporosis;

[0100] A3. When the patient is in a high-risk group for osteoporosis, the latest bone mineral density analysis data of the patient is obtained by combining the osteoporosis detection standards of the same sex and age.

[0101] A4. When the patient is not in a high-risk group for osteoporosis, the latest bone mineral density analysis data of the patient is obtained by combining the osteoporosis detection standards of the same sex and corresponding age group.

[0102] The above technical solutions are suitable for non-high-risk groups for osteoporosis, such as children, premenopausal women, and men under 50 years old.

[0103] The above technical solution, which combines osteoporosis detection standards for the same sex and age, includes the following steps for calculating analytical values: obtaining bone mineral density (BMD) data from individuals of the same sex and age based on the patient's current age and sex; performing data analysis on the BMD data to obtain the mean and standard deviation of BMD; then filtering based on the BMD mean and standard deviation for different detection sites to obtain a first target mean and a first target standard deviation; obtaining the current BMD of the patient's detection site based on the latest patient detection information; and combining the current BMD of the patient's detection site with the first target mean and the first target standard deviation to obtain the patient's latest BMD analysis data using the following formula: Among them, A i For the latest bone mineral density analysis data of the patient's test site i, a i For the patient, measure the current bone mineral density at site i, x i The first objective is the average value, y i The first target standard deviation is used; the latest bone mineral density (BMD) data of the patients is obtained by comparing them with the osteoporosis diagnosis criteria for non-high-risk groups. The osteoporosis diagnosis criteria for non-high-risk groups typically use a range of -2 as the cutoff.

[0104] The above technical solution involves calculating analytical values ​​by combining osteoporosis detection standards for the same sex and corresponding age group. This includes: determining the target age group based on the patient's current age, and obtaining bone mineral density (BMD) data for the corresponding age group based on the target age group and sex, resulting in a target BMD data set; performing data analysis on the BMD data to obtain the mean and standard deviation of BMD, and filtering based on the detection site to obtain a second target mean and a second target standard deviation; obtaining the current BMD of the patient's detection site based on the latest patient detection information; and combining the current BMD of the patient's detection site with the second target mean and the second target standard deviation to obtain the patient's latest BMD analysis data using the following formula: Among them, B i For the patient's latest bone mineral density analysis data at test site i, b i For the patient, the current bone mineral density at site i is measured, m i The average value of the second objective, n iThe second target standard deviation is used; the latest bone mineral density (BMD) data of the patients is obtained by comparing it with the osteoporosis assessment criteria for high-risk groups. The osteoporosis assessment criteria for high-risk groups are typically based on multiple assessment ranges formed between -2.5 and -1.

[0105] The aforementioned technical solution combines the patient's current age and gender for osteoporosis analysis, enabling a clearer understanding of the patient's osteoporosis status. Furthermore, it employs different analysis methods based on whether the patient belongs to a high-risk group for osteoporosis, improving the accuracy of osteoporosis analysis. This, in turn, provides physicians with more precise data, enhancing the accuracy of their diagnoses and ultimately improving the precision of the cloud-based osteoporosis diagnosis and treatment system.

[0106] In one embodiment provided by the present invention, such as Figure 6 As shown, the data analysis unit also performs osteoporosis monitoring analysis on patients based on their patient records, including:

[0107] C1. Obtain the patient's historical bone mineral density analysis data at the corresponding measurement sites based on the patient's records and the patient's latest bone mineral density analysis data;

[0108] C2. Based on the patient's measurement site, osteoporosis change analysis is performed using the latest bone mineral density analysis data and historical bone mineral density analysis data to obtain osteoporosis change data;

[0109] C3. Analyze the age changes of patients to obtain age change data;

[0110] C4. Combine the osteoporosis change data with the age change data to obtain the osteoporosis monitoring data of the patient at the measurement site.

[0111] In the above technical solution, when combining osteoporosis change data with age change data to obtain osteoporosis monitoring data of the patient at the measurement site, the osteoporosis change data and age change data are usually combined to perform curve analysis to determine the osteoporosis change curve of the patient based on the measurement site. Then, the osteoporosis change curve of the measurement site is interpreted to obtain the osteoporosis monitoring data of the patient at the measurement site.

[0112] In the above technical solution, when analyzing age changes in patients, the latest bone mineral density analysis data and historical bone mineral density analysis data are obtained and analyzed according to the patient's age.

[0113] The aforementioned technical solution enables physicians to more intuitively understand the changes in osteoporosis at the measurement sites of patients through osteoporosis monitoring and analysis. This provides data support for physicians to diagnose osteoporosis, allowing them to make diagnostic analyses directly based on the osteoporosis monitoring data at the measurement sites, thus providing convenience for physicians.

[0114] In one embodiment provided by the present invention, such as Figure 7 As shown, the information transmission module includes: a first transmission unit, a second transmission unit, and a third transmission unit.

[0115] The first transmission unit is located between the detection and acquisition module and the cloud service module. When the patient's detection information is obtained, it transmits the patient's detection information in real time.

[0116] The second transmission unit is located between the cloud service module and the physician terminal module. When the cloud service module updates the storage of patient file information, it transmits an update prompt to the physician terminal module. After the physician terminal module obtains the physician's information retrieval instruction, it transmits the information retrieval instruction to the cloud service module. Then, it transmits the target retrieval information obtained from the information retrieval instruction in the cloud service module to the physician terminal module.

[0117] The third transmission unit is located between the detection and acquisition module and the physician terminal module. It transmits the physician's diagnosis results to the detection and acquisition module and is also used for direct communication between doctors and patients.

[0118] In the above technical solution, the communication transmission between the first transmission unit, the second transmission unit, and the third transmission unit does not affect each other.

[0119] In the above technical solution, when the third transmission unit conducts direct communication between the doctor and the patient, it acquires the doctor's communication information through the information acquisition unit in the doctor's terminal module, and then transmits the doctor's communication information to the patient's terminal unit in the detection and acquisition module for feedback to the patient through the third transmission unit. At the same time, it acquires the patient's communication information through the patient's terminal unit in the detection and acquisition module, and then transmits the patient's communication information to the information presentation unit in the doctor's terminal module for feedback through the third transmission unit.

[0120] The above technical solution achieves the block-based division of the information transmission module through the first transmission unit, the second transmission unit, and the third transmission unit. This enables information sharing and collaborative work among the detection and acquisition module, the cloud service module, and the physician terminal module in the osteoporosis cloud diagnosis and treatment system through the first transmission unit, the second transmission unit, and the third transmission unit. This achieves efficient transmission and sharing of medical information, allowing physicians to remotely conduct consultations, follow-ups, and monitoring of patients. This alleviates the problem of inconvenient access to medical care for patients in areas with scarce medical resources, thereby enabling better monitoring of osteoporosis patients and reducing the unhealthy impact of osteoporosis on patients.

[0121] In one embodiment of the present invention, the information collection unit uses multiple collection methods to collect information from physicians. The collection methods include: manual collection and intelligent collection. When the collected information is a diagnostic result based on disease analysis data, the intelligent collection method is used to initiate the collection process for the physician, and after the initiation and identification, the diagnostic result based on the disease analysis data is obtained. When the collected information is an information retrieval instruction for the cloud service module only, the manual collection method is used to manually collect information from the physician and determine the information retrieval instruction.

[0122] In the above technical solutions, manual acquisition generally refers to the need for manual operation to determine information, or it can be the form of shortcut keys to determine input for fixed information or instructions. Intelligent acquisition generally refers to the need for no manual operation to input information, such as video acquisition and voice acquisition.

[0123] In the above technical solutions, when the collected information is a diagnostic result based on disease analysis data, the diagnostic result can also be obtained through manual collection.

[0124] In the above technical solution, when the collected information is only the information retrieval instruction information for the cloud service module, the information retrieval instruction can also be determined through intelligent collection method. After the collection is initiated and identified for the physician, the physician's operation information is obtained, and the information retrieval instruction is determined by identifying and analyzing the operation information.

[0125] The information collection unit of the aforementioned technical solution can collect information from physicians using multiple methods, allowing physicians to input information according to their own habits and needs. This enhances the system's interactivity and physician experience, providing convenience for physicians. Furthermore, intelligent collection methods effectively improve collection efficiency, reduce differences caused by individual habits, and increase the standardization of collected information. The use of collection initiation recognition can also prevent erroneous collection, thus avoiding the need to respond to erroneous information in the osteoporosis cloud-based diagnosis and treatment system, reducing resource waste.

[0126] In one embodiment provided by the present invention, such as Figure 8 As shown, the cloud service module includes: an archive creation unit and an information update unit;

[0127] The file creation unit is used to analyze patient test information to determine whether the examiner is a historical patient. When the examiner is not a historical patient, a patient file is created for the examiner in the cloud and the patient test information is transferred to the information update unit. When the examiner is a historical patient, the patient test information is transferred to the information update unit.

[0128] The information update unit is used to match patient records in the cloud according to the information update unit, determine the target patient record, and update the information storage in the target patient record.

[0129] In the above technical solution, the cloud stores patient information.

[0130] In the above technical solution, "historical patients" refers to patients whose patient records already exist in the cloud.

[0131] In the above technical solution, when the information update unit performs patient file matching in the cloud, it determines the examiner's basic information based on the patient's test information, and performs basic information matching in the patient file in the cloud based on the examiner's basic information, thereby determining the target patient file based on the matching result.

[0132] The aforementioned technical solution manages patient records through a cloud service module. This not only prevents the loss of patient test information from affecting subsequent follow-up examinations, monitoring, and care, but also enables centralized management of patient records for a larger number of patients, facilitating unified maintenance. It also provides convenient access for physicians, allowing them to make diagnoses based on cloud-based information from different locations, overcoming geographical limitations and enabling healthcare access in less developed areas. Furthermore, the record creation unit ensures unified management of patients by identifying past patients, guaranteeing one record per patient and ensuring the orderliness of cloud-stored information, facilitating patient record retrieval. The information update unit promptly synchronizes and updates patient test information to the corresponding patient records, reducing information delays and avoiding information confusion. This allows physicians to retrieve patient records more efficiently and accurately, providing data support for osteoporosis diagnosis.

[0133] Those skilled in the art should understand that the first, second, and third in this invention merely refer to different application stages.

[0134] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the following claims.

[0135] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

1. An osteoporosis cloud diagnosis and treatment system, characterized in that, The application relates to a cloud-based osteoporosis detection system. The system comprises: a detection collection module for patient registration of a person to be examined and ultrasonic detection of a measurement site by an ultrasonic bone density instrument using a double-emission technique after patient registration, to obtain patient detection information; a cloud service module for obtaining the patient detection information through an information transmission module and creating and storing and updating patient files in the cloud based on the patient detection information; 2. The cloud-based diagnosis and treatment system for osteoporosis according to claim 1, wherein, a physician terminal module for calling the patient files in the cloud service module through the information transmission module, analyzing osteoporosis based on the patient files, obtaining disease analysis data, and obtaining physician diagnosis results based on the disease analysis data, and feeding back the physician diagnosis results to the detection collection module through the information transmission module. The detection collection module comprises a patient terminal unit and a detection collection unit. The patient terminal unit is used for patient registration and login of a person to be examined and feedback of physician diagnosis results. 3.The cloud diagnosis and treatment system for osteoporosis according to claim 2, characterized in that, The detection collection unit is used for ultrasonic detection by an ultrasonic bone density instrument using a double-emission technique to obtain patient detection information. The detection collection unit performs ultrasonic detection by an ultrasonic bone density instrument using a double-emission technique, comprising: state analysis of a person to be examined to determine basic information of the person to be examined, first state information acquisition of the person to be examined to obtain first state analysis data, matching analysis and judgment of the first state analysis data, matching analysis result revision combined with the basic information of the person to be examined to obtain first state analysis judgment results, measurement region determination based on a measurement site, cleaning of the measurement region to determine whether the measurement region is contaminated, and determination of the measurement region without contaminants as a target measurement region, skin reaction information acquisition based on the target measurement region, skin reaction phenomenon analysis based on the skin reaction information to determine whether the skin is in a relaxed state to obtain a second analysis sub-result, muscle state information acquisition based on the target measurement region, muscle tension analysis based on the muscle state information, determination of whether the muscle is in a relaxed state according to the muscle tension to obtain a third analysis sub-result, and determination of whether the person to be examined meets ultrasonic detection conditions based on the first state analysis judgment results, the second analysis sub-result and the third analysis sub-result to obtain a first analysis judgment result; detection probe arrangement according to the detection scheme combined with the first analysis judgment result, ultrasonic signal detection in a longitudinal manner by a detection probe using a double-emission technique to obtain ultrasonic detection signals, and sound wave conduction velocity information and amplitude attenuation information; 4. The cloud-based diagnosis and treatment system for osteoporosis according to claim 3, characterized in that, osteoporosis detection data of the measurement site obtained by bone density and bone strength analysis and evaluation based on the sound wave conduction velocity information and the amplitude attenuation information. When the detection probe arrangement is performed according to the detection scheme combined with the first analysis judgment result, detection adjustment of the detection probe comprises: determination of an initial position of the detection probe; test signal emission based on the initial position using a double-emission technique; ultrasonic detection signal acquisition by double-reception technology for the test signal, and analysis based on the ultrasonic detection signal to determine whether the ultrasonic device and the measured bone are parallel to obtain a test analysis result; Adjust the position of the detection probe according to the test analysis result, and perform test signal emission and ultrasonic detection signal acquisition based on the adjusted position using the dual emission and dual reception technologies to obtain updated ultrasonic detection signals; Analyze the updated ultrasonic detection signals to determine whether the ultrasonic device and the measured bone are parallel, and determine the test analysis result; Repeat the adjustment multiple times until the ultrasonic device and the measured bone are parallel, and then take the position of the detection probe at this time as the final detection probe position.

5. The cloud-based diagnosis and treatment system for osteoporosis according to claim 1, wherein, The physician terminal module includes a data analysis unit, an information presentation unit, and an information collection unit; The data analysis unit is configured to analyze osteoporosis based on the patient file to obtain disease analysis data; The information presentation unit is configured to present feedback for the disease analysis data; The information collection unit is configured to obtain a diagnosis result of the physician based on the disease analysis data.

6. The cloud-based diagnosis and treatment system for osteoporosis according to claim 5, wherein, The data analysis unit analyzes osteoporosis based on the patient file, including: Determine the latest patient detection information according to the patient file, and obtain the current age and gender of the patient; Analyze the current age of the patient to determine whether the patient is a high-risk group for osteoporosis; When the patient is a high-risk group for osteoporosis, analyze and calculate the analysis value based on the osteoporosis detection standard of the same gender and same age group to obtain the latest bone density analysis data of the patient; When the patient is not a high-risk group for osteoporosis, analyze and calculate the analysis value based on the osteoporosis detection standard of the same gender and corresponding age group to obtain the latest bone density analysis data of the patient.

7. The cloud-based diagnosis and treatment system for osteoporosis according to claim 6, characterized in that, The data analysis unit also analyzes osteoporosis supervision of the patient based on the patient file, including: Obtain the historical bone density analysis data of the patient at the corresponding measurement site based on the patient file and the latest bone density analysis data of the patient; Perform osteoporosis change analysis based on the latest bone density analysis data and the historical bone density analysis data to obtain osteoporosis change data; Perform age change analysis on the patient to obtain age change data; Combine the osteoporosis change data and the age change data to obtain osteoporosis supervision data of the patient at the measurement site. 8.The cloud diagnosis and treatment system for osteoporosis according to claim 5, characterized in that, The information transmission module includes a first transmission unit, a second transmission unit, and a third transmission unit, The first transmission unit is arranged between the detection collection module and the cloud service module, and when the patient detection information is obtained, the patient detection information is transmitted in real time; The second transmission unit is arranged between the cloud service module and the physician terminal module, and when the cloud service module stores updated patient file information, the physician terminal module is transmitted with an update prompt information, and after the physician terminal module obtains an information retrieval instruction of the physician, the information retrieval instruction is transmitted to the cloud service module, and then the target retrieval information obtained based on the information retrieval instruction in the cloud service module is transmitted to the physician terminal module; The third transmission unit is arranged between the detection collection module and the physician terminal module, and the physician diagnosis result is transmitted to the detection collection module, and is also used for direct communication between the physician and the patient. 9.The cloud diagnosis and treatment system for osteoporosis according to claim 7, characterized in that, The information collection unit adopts multiple collection modes to collect information from doctors, and the collection modes include a manual collection mode and an intelligent collection mode. When the collected information is a diagnosis result based on disease analysis data, the intelligent collection mode is used to start recognition for the doctor, and after the start recognition, the diagnosis result of the doctor based on the disease analysis data is obtained. When the collected information is only information retrieval instruction information for the cloud service module, the manual collection mode is used to manually collect information from the doctor to determine the information retrieval instruction.

10. The cloud-based diagnosis and treatment system for osteoporosis according to claim 1, wherein, The cloud service module includes an archive creation unit and an information update unit. The archive creation unit is configured to analyze patient detection information, determine whether the examination personnel is a historical patient, establish a patient archive for the examination personnel in the cloud when the examination personnel is not a historical patient, and transfer the patient detection information to the information update unit. When the examination personnel is a historical patient, the patient detection information is transferred to the information update unit. The information update unit is configured to match a target patient archive in the cloud according to the information update unit, determine the target patient archive, and update information storage in the target patient archive.