CN116153480A - Intelligent information diagnosis and treatment system and method based on mobile medical equipment - Google Patents
Intelligent information diagnosis and treatment system and method based on mobile medical equipment Download PDFInfo
- Publication number
- CN116153480A CN116153480A CN202310438437.2A CN202310438437A CN116153480A CN 116153480 A CN116153480 A CN 116153480A CN 202310438437 A CN202310438437 A CN 202310438437A CN 116153480 A CN116153480 A CN 116153480A
- Authority
- CN
- China
- Prior art keywords
- diagnosis
- treatment
- equipment
- medical equipment
- mobile medical
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000003745 diagnosis Methods 0.000 title claims abstract description 264
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000012544 monitoring process Methods 0.000 claims abstract description 52
- 238000013500 data storage Methods 0.000 claims abstract description 20
- 230000007613 environmental effect Effects 0.000 claims description 52
- 238000005265 energy consumption Methods 0.000 claims description 51
- 238000001514 detection method Methods 0.000 claims description 32
- 238000012216 screening Methods 0.000 claims description 26
- 238000004364 calculation method Methods 0.000 claims description 23
- 230000002159 abnormal effect Effects 0.000 claims description 19
- 239000006185 dispersion Substances 0.000 claims description 18
- 239000000428 dust Substances 0.000 claims description 8
- 238000005286 illumination Methods 0.000 claims description 8
- 230000005856 abnormality Effects 0.000 claims description 7
- 238000012163 sequencing technique Methods 0.000 claims description 5
- 238000012106 screening analysis Methods 0.000 claims description 4
- 238000004891 communication Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/40—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- General Business, Economics & Management (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Biomedical Technology (AREA)
- Operations Research (AREA)
- Tourism & Hospitality (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Quality & Reliability (AREA)
- Educational Administration (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Epidemiology (AREA)
- Public Health (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The invention belongs to the technical field of diagnosis and treatment analysis, in particular to an intelligent information diagnosis and treatment system and method based on mobile medical equipment, wherein the intelligent information diagnosis and treatment system comprises a diagnosis and treatment analysis platform, and the diagnosis and treatment analysis platform comprises a server, a data storage module, a medical equipment monitoring module, a diagnosis and treatment environment monitoring module, a diagnosis and treatment selection analysis module and a diagnosis and treatment intelligent decision module; according to the invention, the effective monitoring feedback of the equipment state and the environment is realized through the medical equipment monitoring module and the diagnosis and treatment environment monitoring module, the safety of medical staff and consultants is guaranteed, the diagnosis and treatment area analysis and the diagnosis and treatment efficiency analysis are carried out on corresponding mobile medical equipment through the diagnosis and treatment intelligent decision-making module, the subsequent adjustment of the equipment position and the medical staff is facilitated, the recommendation equipment matched with the corresponding user is determined through the diagnosis and treatment selection analysis module, the reasonable recommendation of the mobile medical equipment is realized, and the timely consultation and the rapid consultation of the user are guaranteed.
Description
Technical Field
The invention relates to the technical field of diagnosis and treatment analysis, in particular to an intelligent information diagnosis and treatment system and method based on mobile medical equipment.
Background
The mobile medical equipment mainly refers to a medical vehicle, the medical vehicle is parked in an appointed area of a city, corresponding medical staff performs inquiry in the medical vehicle, a user (patient) is convenient to perform consultation and inquiry, at present, when the consultation and inquiry are performed through the mobile medical equipment, the state of the corresponding mobile medical equipment and the environment of an equipment window area cannot be combined and analyzed before and during the working process, the equipment abnormality and the environment abnormality cannot be fed back in time, the safety of the medical staff and the inquiry staff cannot be guaranteed, whether the area where the equipment is located is reasonable or not and whether the diagnosis and treatment efficiency is qualified or not cannot be automatically estimated, the corresponding supervisory staff cannot perform subsequent area and personnel adjustment in time, the mobile medical equipment cannot be accurately and reasonably recommended to the corresponding user (patient), the corresponding user (patient) cannot perform consultation and inquiry in time and quickly, and the intelligent degree is low;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide an intelligent information diagnosis and treatment system and method based on mobile medical equipment, which solve the problems that the prior art cannot timely feed back equipment abnormality and environment abnormality, is unfavorable for ensuring the safety of medical staff and consultants, cannot automatically evaluate whether the area where the equipment is located is reasonable and whether the diagnosis and treatment efficiency is qualified, is difficult for corresponding supervisory staff to timely adjust subsequent areas and staff, is difficult to accurately and reasonably recommend the mobile medical equipment to corresponding users (patients), and has low intelligent degree.
In order to achieve the above purpose, the present invention provides the following technical solutions:
an intelligent information diagnosis and treatment system based on mobile medical equipment comprises a diagnosis and treatment analysis platform, wherein the diagnosis and treatment analysis platform comprises a server, a data storage module, a medical equipment monitoring module, a diagnosis and treatment environment monitoring module, a diagnosis and treatment selection analysis module and a diagnosis and treatment intelligent decision module; the medical equipment monitoring module is used for carrying out monitoring analysis on the corresponding mobile medical equipment, generating equipment abnormal signals or equipment normal signals of the corresponding mobile medical equipment through the monitoring analysis of the corresponding mobile medical equipment, and sending the equipment abnormal signals or the equipment normal signals to the diagnosis and treatment supervision terminal through the server;
the diagnosis and treatment environment monitoring module is used for analyzing the window environment of the corresponding mobile medical equipment, generating a diagnosis and treatment environment qualified signal or a diagnosis and treatment environment unqualified signal of the corresponding mobile medical equipment through analysis, and sending the diagnosis and treatment environment qualified signal or the diagnosis and treatment environment unqualified signal of the corresponding mobile medical equipment to the diagnosis and treatment supervision terminal through the server; the diagnosis and treatment selection analysis module is used for acquiring a diagnosis and treatment selection request of a corresponding user (patient), determining recommendation equipment matched with the corresponding user (patient) through analysis, and sending the recommendation equipment and the position of the corresponding equipment to an intelligent terminal of the corresponding user (patient) through a server;
the diagnosis and treatment intelligent decision module is used for analyzing the diagnosis and treatment area corresponding to the mobile medical equipment, judging whether the diagnosis and treatment area corresponding to the mobile medical equipment is reasonable through analysis, generating an area unreasonable signal corresponding to the mobile medical equipment if the diagnosis and treatment area corresponding to the mobile medical equipment is unreasonable, otherwise, continuously judging whether the diagnosis and treatment efficiency corresponding to the mobile medical equipment is qualified, generating a diagnosis and treatment efficiency unqualified signal corresponding to the mobile medical equipment if the diagnosis and treatment efficiency unqualified corresponding to the mobile medical equipment is judged, and transmitting the area unreasonable signal or the diagnosis and treatment efficiency unqualified signal corresponding to the mobile medical equipment to the diagnosis and treatment supervision terminal through the server.
Further, the specific operation process of the diagnosis and treatment selection analysis module comprises the following steps:
when receiving a diagnosis and treatment selection request of a corresponding user (patient), marking the mobile medical equipment as analysis equipment i, i=1, 2, …, n, n representing the number of the supervised mobile medical equipment and n being a positive integer greater than 1; acquiring a position of a corresponding user (patient) and a position of analysis equipment i, and acquiring a corresponding diagnosis and treatment path distance value based on the position of the corresponding user (patient) and the position of the analysis equipment i;
the method comprises the steps that a preset diagnosis and treatment path distance threshold value is called through a data storage module, the diagnosis and treatment path distance value is compared with the preset diagnosis and treatment path distance threshold value in a numerical mode, if the diagnosis and treatment path distance value exceeds the preset diagnosis and treatment path distance threshold value, corresponding mobile medical equipment is rejected, and if the diagnosis and treatment path distance value does not exceed the preset diagnosis and treatment path distance threshold value, corresponding analysis equipment i is marked as primary screening equipment; and carrying out fine screening analysis on all the primary screening equipment to obtain a sequencing result of the recommending equipment and the primary screening equipment, and sending the sequencing result of the recommending equipment and the primary screening equipment to an intelligent terminal of a corresponding user (patient) through a server.
Further, the detailed screening analysis is performed as follows:
the method comprises the steps of obtaining the number of queuing and consultation staff corresponding to the primary screening equipment and the diagnosis and treatment time length value corresponding to the primary screening equipment, wherein the diagnosis and treatment time length value is a data value representing the size of a person in average diagnosis and treatment, and performing numerical calculation on the number of queuing and consultation staff and the diagnosis and treatment time length value to obtain a diagnosis and treatment team representation value; performing numerical calculation on the diagnosis team performance value and the diagnosis path distance value of the corresponding primary screening equipment to obtain a medical equipment recommended value; and sorting the primary screening equipment from small to large according to the numerical value of the recommended value of the medical equipment, marking the primary screening equipment with the sorting position at the first position as recommended equipment, and sending the corresponding recommended equipment and the corresponding equipment position to an intelligent terminal of a corresponding user (patient) through a server.
Further, the specific operation process of the diagnosis and treatment intelligent decision module comprises the following steps:
a circle with the radius of R0 is marked by taking the corresponding analysis equipment i as a circle center, a diagnosis and treatment area with the corresponding circular area marked as the corresponding analysis area is set, a monitoring period is set, the people flow data of the corresponding diagnosis and treatment area in the detection period and the number of consultation staff corresponding to the analysis equipment i are obtained, and if the number of the consultation staff does not exceed a preset consultation staff number threshold value and the people flow data does not exceed a preset people flow data threshold value, an area unreasonable signal corresponding to the diagnosis and treatment area corresponding to the analysis equipment i is generated;
if the number of consultation staff exceeds a preset consultation staff number threshold or the people flow data exceeds a preset people flow data threshold, acquiring the average waiting time of the consultation of the analysis equipment i corresponding to the monitoring period, and if the average waiting time of the consultation exceeds the preset average waiting time threshold, generating a diagnosis and treatment efficiency disqualification signal corresponding to the analysis equipment i.
Further, the specific operation process of the medical equipment monitoring module comprises the following steps:
acquiring noise intensity data generated by corresponding analysis equipment i and vibration performance data of medical equipment during diagnosis and treatment, carrying out numerical calculation on the noise intensity data and the vibration performance data to acquire a negative feedback value, calling a preset negative feedback threshold value through a data storage module, carrying out numerical comparison on the negative feedback value and the preset negative feedback threshold value, and generating an equipment abnormality signal corresponding to the analysis equipment i if the negative feedback value is greater than or equal to the preset negative feedback threshold value.
Further, if the negative feedback value is smaller than a preset negative feedback threshold value, energy consumption data of a plurality of detection periods are obtained, energy consumption sets are established, mean calculation is conducted on the obtained energy consumption data, energy consumption average coefficients are obtained, variance calculation is conducted on the energy consumption sets, energy consumption dispersion coefficients are obtained, a preset energy consumption average coefficient range and an energy consumption dispersion coefficient threshold value are called through a data storage module, numerical comparison is conducted on the energy consumption average coefficients and the energy consumption dispersion coefficients and the preset energy consumption average coefficient range and the preset energy consumption dispersion coefficient threshold value respectively, if the energy consumption average coefficients are not in the preset energy consumption average coefficient range and the energy consumption dispersion coefficients are smaller than the preset energy consumption dispersion coefficient threshold value, abnormal equipment signals corresponding to analysis equipment i are generated, and otherwise normal equipment signals corresponding to the analysis equipment i are generated.
Further, the specific operation process of the diagnosis and treatment environment monitoring module comprises the following steps:
acquiring environmental information of a window area corresponding to the analysis equipment i, wherein the environmental information comprises environmental temperature, environmental humidity, environmental dust concentration and illumination intensity, performing difference calculation on the environmental temperature and a preset proper environmental temperature, taking an absolute value to acquire environmental temperature data, performing difference calculation on the environmental humidity and the preset proper environmental humidity, taking the absolute value to acquire environmental humidity data, and performing numerical calculation on the environmental temperature data, the environmental humidity data, the environmental dust concentration and the illumination intensity to acquire an environmental detection value;
the method comprises the steps of calling a preset environment detection threshold value through a data storage module, comparing the environment detection value with the preset environment detection threshold value, generating diagnosis and treatment environment unqualified signals corresponding to analysis equipment i if the environment detection value is greater than or equal to the preset environment detection threshold value, and generating diagnosis and treatment environment qualified signals corresponding to the analysis equipment i if the environment detection value is less than the preset environment detection threshold value.
Further, when the diagnosis and treatment supervision terminal receives an abnormal signal of the equipment or an unqualified signal of the diagnosis and treatment environment, a corresponding early warning instruction is generated and sent to an early warning display end of the corresponding analysis equipment i, so that a manager of the corresponding analysis equipment i is reminded to pause diagnosis and treatment, a corresponding user (patient) is reminded to select other mobile medical equipment to diagnose, the diagnosis and treatment supervision terminal receives an unreasonable signal of a diagnosis and treatment area, a corresponding background supervision person is reminded to adjust the diagnosis and treatment position of the corresponding mobile medical equipment in time later, and when the diagnosis and treatment supervision terminal receives an unqualified signal of diagnosis and treatment efficiency, a medical staff of the corresponding analysis equipment i is needed to be increased in time or the mobile medical equipment is increased appropriately in the corresponding area.
Furthermore, the invention also provides an intelligent information diagnosis and treatment method based on the mobile medical equipment, which comprises the following steps:
monitoring and analyzing corresponding mobile medical equipment, generating an equipment abnormal signal or an equipment normal signal of the corresponding mobile medical equipment through the monitoring and analyzing of the corresponding mobile medical equipment, and performing the next operation when generating the equipment normal signal of the corresponding mobile medical equipment;
analyzing window environments of the corresponding mobile medical equipment, generating diagnosis and treatment environment qualified signals or diagnosis and treatment environment unqualified signals of the corresponding mobile medical equipment through analysis, and performing next operation when generating the diagnosis and treatment environment qualified signals of the corresponding mobile medical equipment;
and thirdly, medical staff in the mobile medical equipment diagnose the user (patient) outside the window, the diagnosis and treatment intelligent decision module analyzes the diagnosis and treatment area corresponding to the mobile medical equipment and judges whether the diagnosis and treatment area corresponding to the mobile medical equipment is reasonable, and when judging that the diagnosis and treatment area corresponding to the mobile medical equipment is reasonable, the diagnosis and treatment module judges whether the diagnosis and treatment efficiency corresponding to the mobile medical equipment is qualified.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the medical equipment monitoring module is used for monitoring and analyzing the corresponding mobile medical equipment to generate the equipment abnormal signal or the equipment normal signal of the corresponding mobile medical equipment, the diagnosis and treatment environment monitoring module is used for analyzing the window environment of the corresponding mobile medical equipment to generate the diagnosis and treatment environment qualified signal or the diagnosis and treatment environment unqualified signal of the corresponding mobile medical equipment, so that the effective monitoring feedback of the state and the environment of the mobile equipment is realized, the safety of medical staff and consultants is ensured, the diagnosis and treatment area of the corresponding mobile medical equipment is analyzed through the diagnosis and treatment intelligent decision module to judge whether the diagnosis and treatment area of the corresponding mobile medical equipment is reasonable, and the diagnosis and treatment efficiency of the corresponding mobile medical equipment is analyzed and evaluated when the diagnosis and treatment area is judged to be reasonable, and the subsequent adjustment of the equipment position and the medical staff is facilitated;
2. according to the invention, the diagnosis and treatment selection analysis module is used for acquiring a diagnosis and treatment selection request of a corresponding user, determining recommendation equipment matched with the corresponding user through analysis, sending the recommendation equipment and the corresponding equipment position to the intelligent terminal of the corresponding user through the server, and leading the corresponding user to go to the corresponding mobile medical equipment based on the corresponding equipment position to conduct consultation and inquiry, so that reasonable recommendation of the mobile medical equipment is realized, and timely inquiry and quick inquiry of the user are ensured.
Drawings
For the convenience of those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a system block diagram of a first embodiment of the present invention;
FIG. 2 is a flow chart of a method according to a second embodiment of the present invention;
fig. 3 is a system block diagram of a third embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment 1 as shown in fig. 1, the intelligent information diagnosis and treatment system based on the mobile medical equipment provided by the invention comprises a diagnosis and treatment analysis platform, wherein the diagnosis and treatment analysis platform comprises a server, a data storage module, a medical equipment monitoring module, a diagnosis and treatment environment monitoring module and a diagnosis and treatment intelligent decision module; the server is in communication connection with the data storage module, the medical equipment monitoring module, the diagnosis and treatment environment monitoring module and the diagnosis and treatment intelligent decision module, and is in communication connection with the diagnosis and treatment supervision terminal and the early warning display end in the mobile medical equipment;
the medical equipment monitoring module monitors and analyzes the corresponding mobile medical equipment, generates an equipment abnormal signal or an equipment normal signal of the corresponding mobile medical equipment through the monitoring and analyzing of the corresponding mobile medical equipment, and sends the equipment abnormal signal or the equipment normal signal to the diagnosis and treatment monitoring terminal through the server; the specific operation process of the medical equipment monitoring module is as follows:
acquiring noise intensity data generated by the corresponding analysis equipment i and vibration performance data of the medical equipment during diagnosis and treatment, and marking the noise intensity data ZQi as ZQi and ZBi respectively, wherein the noise intensity data 3562 is a data value representing the magnitude of a noise decibel value generated by the corresponding mobile medical equipment in the use process, the larger the noise intensity data ZQi is, the larger the generated noise decibel value is, the vibration performance data ZBi is a data value representing the magnitude of a vibration frequency and a vibration amplitude generated by the corresponding mobile medical equipment in the use process, and the larger the vibration performance data ZBi is, the larger the vibration frequency and the vibration amplitude are;
the noise intensity data ZQi and the vibration performance data ZBi are subjected to numerical calculation to obtain a negative feedback value FGi through a formula FGi =a1× ZQi +a2× ZBi, wherein a1 and a2 are preset weight coefficients, the values of a1 and a2 are both larger than zero, and a1 is larger than a2; further, the magnitude of the negative feedback value FGi is in a proportional relationship with the noise intensity data ZQi and the vibration performance data ZBi, and the greater the magnitude of the negative feedback value FGi, the greater the possibility that the corresponding ambulatory medical device is abnormal; a preset negative feedback threshold value is called through the data storage module, the negative feedback value FGi is compared with the preset negative feedback threshold value in a numerical mode, and if the negative feedback value FGi is greater than or equal to the preset negative feedback threshold value, an equipment abnormality signal corresponding to the analysis equipment i is generated;
if the negative feedback value FGi is smaller than a preset negative feedback threshold value, acquiring energy consumption data of a plurality of detection periods, establishing an energy consumption set from the acquired energy consumption data, carrying out mean calculation on the energy consumption set to acquire an energy consumption average coefficient HPi, carrying out variance calculation on the energy consumption set to acquire an energy consumption dispersion coefficient HFi, calling a preset energy consumption average coefficient range and an energy consumption dispersion coefficient threshold value through a data storage module, respectively carrying out numerical comparison on the energy consumption average coefficient HPi and the energy consumption dispersion coefficient HFi and the preset energy consumption average coefficient range and the preset energy consumption dispersion coefficient threshold value, if the energy consumption average coefficient HPi is not in the preset energy consumption average coefficient range and the energy consumption dispersion coefficient HFi is smaller than the preset energy consumption dispersion coefficient threshold value, indicating that the corresponding mobile medical equipment is in an energy consumption abnormal state for a long time, generating an equipment abnormal signal corresponding to the analysis equipment i, and otherwise, generating an equipment normal signal corresponding to the analysis equipment i.
The diagnosis and treatment environment monitoring module analyzes the window environment of the corresponding mobile medical equipment, generates a diagnosis and treatment environment qualified signal or a diagnosis and treatment environment unqualified signal of the corresponding mobile medical equipment through analysis, and sends the diagnosis and treatment environment qualified signal or the diagnosis and treatment environment unqualified signal of the corresponding mobile medical equipment to the diagnosis and treatment supervision terminal through the server; the specific operation process of the diagnosis and treatment environment monitoring module is as follows:
acquiring environmental information of a window area corresponding to the corresponding analysis equipment i, wherein the environmental information comprises environmental temperature, environmental humidity, environmental dust concentration and illumination intensity, acquiring preset proper environmental temperature and preset proper environmental humidity through a data storage module, performing difference calculation on the environmental temperature and the preset proper environmental temperature, acquiring absolute value to acquire environmental temperature data WLi, performing difference calculation on the environmental humidity and the preset proper environmental humidity, acquiring absolute value to acquire environmental moisture data SLi, and respectively marking the environmental dust concentration and the illumination intensity of the window area corresponding to the corresponding analysis equipment i as FNi and GZi;
calculating the environmental temperature data WLi, the environmental humidity data SLi, the environmental dust concentration FNi and the illumination intensity GZi according to a comprehensive analysis formula JCi =b1×wli+b2×sli+b3× FNi +b4× GZi to obtain an environmental detection value JCi; wherein b1, b2, b3 and b4 are preset weight coefficients, the values of b1, b2, b3 and b4 are all larger than zero, the numerical value of the environment detection value JCi is in a proportional relation with the environmental temperature data WLi, the environmental humidity data SLi, the environmental dust concentration FNi and the illumination intensity GZi, and the numerical value of the environment detection value JCi is larger, so that the worse the environmental condition of the window area corresponding to the corresponding analysis equipment i is, the more unsuitable diagnosis and treatment are performed at the current moment;
the method comprises the steps of calling a preset environment detection threshold value through a data storage module, comparing the environment detection value JCi of the corresponding analysis equipment i with the preset environment detection threshold value, generating a diagnosis and treatment environment unqualified signal of the corresponding analysis equipment i if the environment detection value JCi of the corresponding analysis equipment i is larger than or equal to the preset environment detection threshold value, and generating a diagnosis and treatment environment unqualified signal of the corresponding analysis equipment i if the environment detection value JCi of the corresponding analysis equipment i is smaller than the preset environment detection threshold value.
The diagnosis and treatment intelligent decision module analyzes the diagnosis and treatment area of the corresponding mobile medical equipment, judges whether the diagnosis and treatment area of the corresponding mobile medical equipment is reasonable through analysis, generates an area unreasonable signal of the corresponding mobile medical equipment if judging that the diagnosis and treatment area of the corresponding mobile medical equipment is unreasonable, otherwise continuously judges whether the diagnosis and treatment efficiency of the corresponding mobile medical equipment is qualified, generates a diagnosis and treatment efficiency unqualified signal of the corresponding mobile medical equipment if judging that the diagnosis and treatment efficiency of the corresponding mobile medical equipment is unqualified, and sends the area unreasonable signal or the diagnosis and treatment efficiency unqualified signal of the corresponding mobile medical equipment to a diagnosis and treatment supervision terminal through a server; the specific operation process of the diagnosis and treatment intelligent decision module is as follows:
a circle with the radius of R0 is marked by taking the corresponding analysis equipment i as a circle center, the corresponding circular area is marked as a diagnosis and treatment area corresponding to the analysis area, a monitoring period is set, and the people flow data of the corresponding diagnosis and treatment area in the detection period and the number of consultation staff corresponding to the analysis equipment i are obtained and marked as RLi and WRi respectively; the people flow data RLi is a data value representing the people access quantity of the corresponding diagnosis and treatment area, and the larger the people access quantity of the corresponding diagnosis and treatment area in the monitoring period is, the larger the value of the corresponding people flow data RLi is; the number WRi of consultation staff represents the data value of the number of the consultation staff corresponding to the diagnosis and treatment area in the monitoring period, and the larger the number WRi of the consultation staff is, the more the consultation staff are indicated to be subjected to consultation;
the data storage module is used for calling a preset consultation personnel quantity threshold value and a preset personnel flow data threshold value, respectively carrying out numerical comparison on the consultation personnel quantity WRi and the personnel flow data WRi and the preset consultation personnel quantity threshold value and the preset personnel flow data threshold value, if the number WRi of consultation staff does not exceed the preset consultation staff number threshold and the people flow data WRi does not exceed the preset people flow data threshold, generating an area unreasonable signal corresponding to the diagnosis and treatment area of the corresponding analysis equipment i;
if the number WRi of consultants exceeds a preset consultant number threshold or the flow data WRi of people exceeds a preset flow data threshold, acquiring the average waiting time of the consultation of the analysis equipment i corresponding to the monitoring period and marking the average waiting time as WSi, calling the preset average waiting time threshold through the data storage module, comparing the average waiting time WSi of the consultation with the preset average waiting time threshold in numerical value, and if the average waiting time WSi of the consultation exceeds the preset average waiting time threshold of the consultation, indicating that the waiting time of the consultation of the corresponding diagnosis area is too long, generating a diagnosis efficiency disqualification signal corresponding to the analysis equipment i.
When the diagnosis and treatment supervision terminal receives abnormal signals of equipment or unqualified signals of diagnosis and treatment environments, a corresponding early warning instruction is generated and sent to an early warning display end of the corresponding analysis equipment i so as to remind a manager of the corresponding analysis equipment i to pause diagnosis and treatment and remind a corresponding user to select other mobile medical equipment to diagnose and treat, so that the safety of medical staff and consultants is guaranteed, the diagnosis and treatment supervision terminal receives unreasonable signals of a diagnosis and treatment area, the corresponding background supervision staff should adjust the diagnosis and treatment positions of the corresponding mobile medical equipment in time later to avoid resource waste, and when the diagnosis and treatment supervision terminal receives unqualified signals of diagnosis and treatment efficiency, the medical staff of the corresponding analysis equipment i should be increased in time or the mobile medical equipment is increased appropriately in the corresponding area, so that the waiting time of the corresponding consultant is reduced while the diagnosis and treatment efficiency is improved.
Embodiment 2 is shown in fig. 2, and the difference between this embodiment and embodiment 1 is that the present invention further provides an intelligent information diagnosis and treatment method based on mobile medical equipment, which includes the following steps:
monitoring and analyzing corresponding mobile medical equipment, generating an equipment abnormal signal or an equipment normal signal of the corresponding mobile medical equipment through the monitoring and analyzing of the corresponding mobile medical equipment, and performing the next operation when generating the equipment normal signal of the corresponding mobile medical equipment;
analyzing window environments of the corresponding mobile medical equipment, generating diagnosis and treatment environment qualified signals or diagnosis and treatment environment unqualified signals of the corresponding mobile medical equipment through analysis, and performing next operation when generating the diagnosis and treatment environment qualified signals of the corresponding mobile medical equipment;
and thirdly, medical staff in the mobile medical equipment diagnose the user outside the window, the diagnosis and treatment intelligent decision module analyzes the diagnosis and treatment area corresponding to the mobile medical equipment and judges whether the diagnosis and treatment area corresponding to the mobile medical equipment is reasonable, and when judging that the diagnosis and treatment area corresponding to the mobile medical equipment is reasonable, the diagnosis and treatment intelligent decision module judges whether the diagnosis and treatment efficiency corresponding to the mobile medical equipment is qualified.
Embodiment 3 is different from embodiment 1 and embodiment 2 in that the diagnosis and treatment analysis platform further includes a diagnosis and treatment selection analysis module, the server is in communication connection with the diagnosis and treatment selection analysis module, the diagnosis and treatment selection analysis module obtains a diagnosis and treatment selection request of a corresponding user, determines a recommendation device matched with the corresponding user through analysis, and sends the recommendation device and a corresponding device position to an intelligent terminal of the corresponding user through the server; the specific operation process of the diagnosis and treatment selection analysis module is as follows:
when receiving a diagnosis and treatment selection request of a corresponding user, marking the mobile medical equipment as analysis equipment i, i=1, 2, …, n, n represents the number of the supervised mobile medical equipment and n is a positive integer greater than 1; acquiring a position of a corresponding user and a position of analysis equipment i, and acquiring a corresponding diagnosis and treatment path distance value LJi based on the position of the corresponding user and the position of the analysis equipment i; the method comprises the steps that a preset diagnosis and treatment path distance threshold value is called through a data storage module, the diagnosis and treatment path distance value LJi is compared with the preset diagnosis and treatment path distance threshold value in a numerical mode, if the diagnosis and treatment path distance value LJi exceeds the preset diagnosis and treatment path distance threshold value, corresponding mobile medical equipment is removed, and if the diagnosis and treatment path distance value LJi does not exceed the preset diagnosis and treatment path distance threshold value, corresponding analysis equipment i is marked as primary screening equipment;
acquiring the number of queuing and consultation staff corresponding to the corresponding primary screening equipment and the diagnosis and treatment duration value corresponding to the primary screening equipment, and marking the number of queuing and treatment staff corresponding to the primary screening equipment as ZRi and ZSi respectively, wherein the diagnosis and treatment duration value ZSi is a data value representing the size of the time of average diagnosis and treatment of people; the number ZRi of queuing staff and the diagnosis and treatment duration value ZSi are calculated by the formula DBi=eu1× ZRi +eu2×zsi to obtain a diagnosis and treatment team representation value DBi; the values of the eu1 and the eu2 are larger than zero, and the eu1 is smaller than the eu2;
the value of the diagnosis and treatment team representing value DBi is in a direct proportion relation with the number ZRi of the queuing staff and the diagnosis and treatment duration value ZSI, and the larger the value of the queuing staff ZRi is, the larger the value of the diagnosis and treatment duration value ZSI is, the larger the value of the diagnosis and treatment team representing value DBi is, so that the current corresponding analysis equipment i is low in diagnosis and treatment efficiency and the number of users waiting for inquiry is large;
performing numerical calculation on the diagnosis and treatment team representation value DBi and the diagnosis and treatment path distance value LJi of the corresponding primary screening equipment through a recommendation analysis formula TJi =tp1×DBi+tp2× LJi, and acquiring a medical equipment recommendation value TJi of the corresponding primary screening equipment after the numerical calculation; wherein tp1 and tp2 are preset weight coefficients, and tp2 is more than 0 and tp1; the smaller the value of the medical device recommendation value TJi, the higher the matching degree of the corresponding mobile medical device and the corresponding user is indicated; and sorting the primary screening equipment according to the value of the recommended value of the medical equipment from small to large, and marking the primary screening equipment with the sorting position at the first position as recommended equipment. And the corresponding recommending equipment and the corresponding equipment positions are sent to the intelligent terminals of the corresponding users through the server, the corresponding users forward to the corresponding mobile medical equipment based on the corresponding equipment positions to conduct consultation and inquiry, reasonable recommendation of the mobile medical equipment is achieved, and timely inquiry and quick inquiry of the users are guaranteed.
The working principle of the invention is as follows: during the use, will correspond the equipment abnormal signal or the equipment normal signal of mobile medical equipment with corresponding mobile medical equipment through medical equipment monitoring module, diagnose environment monitoring module will correspond the window environment of mobile medical equipment and carry out analysis in order to produce the diagnosis and treat environment qualification signal or the diagnosis and treat environment disqualification signal of corresponding mobile medical equipment, realize the effective monitoring feedback to mobile equipment state and place environment, help guaranteeing medical personnel and inquiry personnel's safety, and diagnose the area through diagnosing intelligent decision-making module will correspond mobile medical equipment and carry out analysis in order to judge whether the diagnosis and treat area of corresponding mobile medical equipment is reasonable, and carry out analysis and evaluation with the diagnosis and treat efficiency of corresponding mobile medical equipment when judging that the diagnosis and treat area is reasonable, help follow-up equipment position and medical personnel to adjust.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation. The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (9)
1. The intelligent information diagnosis and treatment system based on the mobile medical equipment is characterized by comprising a diagnosis and treatment analysis platform, wherein the diagnosis and treatment analysis platform comprises a server, a data storage module, a medical equipment monitoring module, a diagnosis and treatment environment monitoring module, a diagnosis and treatment selection analysis module and a diagnosis and treatment intelligent decision module; the medical equipment monitoring module is used for carrying out monitoring analysis on the corresponding mobile medical equipment, generating equipment abnormal signals or equipment normal signals of the corresponding mobile medical equipment through the monitoring analysis of the corresponding mobile medical equipment, and sending the equipment abnormal signals or the equipment normal signals to the diagnosis and treatment supervision terminal through the server;
the diagnosis and treatment environment monitoring module is used for analyzing the window environment of the corresponding mobile medical equipment, generating a diagnosis and treatment environment qualified signal or a diagnosis and treatment environment unqualified signal of the corresponding mobile medical equipment through analysis, and sending the diagnosis and treatment environment qualified signal or the diagnosis and treatment environment unqualified signal of the corresponding mobile medical equipment to the diagnosis and treatment supervision terminal through the server; the diagnosis and treatment selection analysis module is used for acquiring a diagnosis and treatment selection request of a corresponding user, determining recommendation equipment matched with the corresponding user through analysis, and sending the recommendation equipment and the corresponding equipment position to an intelligent terminal of the corresponding user through a server;
the diagnosis and treatment intelligent decision module is used for analyzing the diagnosis and treatment area corresponding to the mobile medical equipment, judging whether the diagnosis and treatment area corresponding to the mobile medical equipment is reasonable through analysis, generating an area unreasonable signal corresponding to the mobile medical equipment if the diagnosis and treatment area corresponding to the mobile medical equipment is unreasonable, otherwise, continuously judging whether the diagnosis and treatment efficiency corresponding to the mobile medical equipment is qualified, generating a diagnosis and treatment efficiency unqualified signal corresponding to the mobile medical equipment if the diagnosis and treatment efficiency unqualified corresponding to the mobile medical equipment is judged, and transmitting the area unreasonable signal or the diagnosis and treatment efficiency unqualified signal corresponding to the mobile medical equipment to the diagnosis and treatment supervision terminal through the server.
2. The intelligent information diagnosis and treatment system based on mobile medical equipment according to claim 1, wherein the specific operation process of the diagnosis and treatment selection analysis module comprises the following steps:
when receiving a diagnosis and treatment selection request of a corresponding user, marking the mobile medical equipment as analysis equipment i, i=1, 2, …, n, n represents the number of the supervised mobile medical equipment and n is a positive integer greater than 1; acquiring the position of a corresponding user and the position of analysis equipment i, and acquiring a corresponding diagnosis and treatment path distance value based on the position of the corresponding user and the position of the analysis equipment i;
the method comprises the steps that a preset diagnosis and treatment path distance threshold value is called through a data storage module, the diagnosis and treatment path distance value is compared with the preset diagnosis and treatment path distance threshold value in a numerical mode, if the diagnosis and treatment path distance value exceeds the preset diagnosis and treatment path distance threshold value, corresponding mobile medical equipment is rejected, and if the diagnosis and treatment path distance value does not exceed the preset diagnosis and treatment path distance threshold value, corresponding analysis equipment i is marked as primary screening equipment; and carrying out fine screening analysis on all the primary screening equipment to obtain a sequencing result of the recommending equipment and the primary screening equipment, and sending the sequencing result of the recommending equipment and the primary screening equipment to the intelligent terminal of the corresponding user through a server.
3. An intelligent information diagnosis and treatment system based on mobile medical equipment as claimed in claim 2, wherein the specific analysis process of the fine screening analysis is as follows:
the method comprises the steps of obtaining the number of queuing and consultation staff corresponding to the primary screening equipment and the diagnosis and treatment time length value corresponding to the primary screening equipment, wherein the diagnosis and treatment time length value is a data value representing the size of a person in average diagnosis and treatment, and performing numerical calculation on the number of queuing and consultation staff and the diagnosis and treatment time length value to obtain a diagnosis and treatment team representation value; performing numerical calculation on the diagnosis team performance value and the diagnosis path distance value of the corresponding primary screening equipment to obtain a medical equipment recommended value; and sequencing the primary screening equipment from small to large according to the numerical value of the recommended value of the medical equipment, marking the primary screening equipment in the first sequence as recommended equipment, and sending the corresponding recommended equipment and the corresponding equipment position to the intelligent terminal of the corresponding user through the server.
4. The intelligent information diagnosis and treatment system based on the mobile medical equipment according to claim 1, wherein the specific operation process of the diagnosis and treatment intelligent decision module comprises the following steps:
a circle with the radius of R0 is marked by taking the corresponding analysis equipment i as a circle center, a diagnosis and treatment area with the corresponding circular area marked as the corresponding analysis area is set, a monitoring period is set, the people flow data of the corresponding diagnosis and treatment area in the detection period and the number of consultation staff corresponding to the analysis equipment i are obtained, and if the number of the consultation staff does not exceed a preset consultation staff number threshold value and the people flow data does not exceed a preset people flow data threshold value, an area unreasonable signal corresponding to the diagnosis and treatment area corresponding to the analysis equipment i is generated;
if the number of consultation staff exceeds a preset consultation staff number threshold or the people flow data exceeds a preset people flow data threshold, acquiring the average waiting time of the consultation of the analysis equipment i corresponding to the monitoring period, and if the average waiting time of the consultation exceeds the preset average waiting time threshold, generating a diagnosis and treatment efficiency disqualification signal corresponding to the analysis equipment i.
5. The intelligent information diagnosis and treatment system based on mobile medical equipment according to claim 1, wherein the specific operation process of the medical equipment monitoring module comprises the following steps:
acquiring noise intensity data generated by corresponding analysis equipment i and vibration performance data of medical equipment during diagnosis and treatment, carrying out numerical calculation on the noise intensity data and the vibration performance data to acquire a negative feedback value, calling a preset negative feedback threshold value through a data storage module, carrying out numerical comparison on the negative feedback value and the preset negative feedback threshold value, and generating an equipment abnormality signal corresponding to the analysis equipment i if the negative feedback value is greater than or equal to the preset negative feedback threshold value.
6. The intelligent information diagnosis and treatment system based on mobile medical equipment according to claim 5, wherein if the negative feedback value is smaller than a preset negative feedback threshold value, energy consumption data of a plurality of detection periods are obtained, the obtained energy consumption data are built into energy consumption sets, energy consumption average coefficients are obtained by means of average calculation of the energy consumption sets, energy consumption dispersion coefficients are obtained by means of variance calculation of the energy consumption sets, a preset energy consumption average coefficient range and an energy consumption dispersion coefficient threshold value are obtained by means of a data storage module, the energy consumption average coefficient and the energy consumption dispersion coefficient are respectively compared with the preset energy consumption average coefficient range and the preset energy consumption dispersion coefficient threshold value in value, if the energy consumption average coefficient is not in the preset energy consumption average coefficient range and the energy consumption dispersion coefficient is smaller than the preset energy consumption dispersion coefficient threshold value, equipment abnormal signals corresponding to analysis equipment i are generated, and otherwise equipment normal signals corresponding to the analysis equipment i are generated.
7. The intelligent information diagnosis and treatment system based on mobile medical equipment according to claim 1, wherein the specific operation process of the diagnosis and treatment environment monitoring module comprises the following steps:
acquiring environmental information of a window area corresponding to the analysis equipment i, wherein the environmental information comprises environmental temperature, environmental humidity, environmental dust concentration and illumination intensity, performing difference calculation on the environmental temperature and a preset proper environmental temperature, taking an absolute value to acquire environmental temperature data, performing difference calculation on the environmental humidity and the preset proper environmental humidity, taking the absolute value to acquire environmental humidity data, and performing numerical calculation on the environmental temperature data, the environmental humidity data, the environmental dust concentration and the illumination intensity to acquire an environmental detection value;
the method comprises the steps of calling a preset environment detection threshold value through a data storage module, comparing the environment detection value with the preset environment detection threshold value, generating diagnosis and treatment environment unqualified signals corresponding to analysis equipment i if the environment detection value is greater than or equal to the preset environment detection threshold value, and generating diagnosis and treatment environment qualified signals corresponding to the analysis equipment i if the environment detection value is less than the preset environment detection threshold value.
8. The intelligent information diagnosis and treatment system based on the mobile medical equipment according to claim 1, wherein when the diagnosis and treatment supervision terminal receives an equipment abnormal signal or a diagnosis and treatment environment disqualification signal, the diagnosis and treatment supervision terminal generates a corresponding early warning instruction and sends the corresponding early warning instruction to an early warning display end of the corresponding analysis equipment i so as to remind a manager of the corresponding analysis equipment i to pause diagnosis and treatment and remind a corresponding user to select other mobile medical equipment to perform diagnosis and treatment, the diagnosis and treatment supervision terminal receives a diagnosis and treatment area irrational signal, the corresponding background supervision personnel should adjust the diagnosis and treatment position of the corresponding mobile medical equipment in time later, and when the diagnosis and treatment supervision terminal receives the diagnosis and treatment efficiency disqualification signal, the medical personnel of the corresponding analysis equipment i should be increased in time or the mobile medical equipment should be increased appropriately in the corresponding area.
9. An intelligent information diagnosis and treatment method based on mobile medical equipment is characterized by comprising the following steps:
monitoring and analyzing corresponding mobile medical equipment, generating an equipment abnormal signal or an equipment normal signal of the corresponding mobile medical equipment through the monitoring and analyzing of the corresponding mobile medical equipment, and performing the next operation when generating the equipment normal signal of the corresponding mobile medical equipment;
analyzing window environments of the corresponding mobile medical equipment, generating diagnosis and treatment environment qualified signals or diagnosis and treatment environment unqualified signals of the corresponding mobile medical equipment through analysis, and performing next operation when generating the diagnosis and treatment environment qualified signals of the corresponding mobile medical equipment;
and thirdly, medical staff in the mobile medical equipment diagnose the user outside the window, the diagnosis and treatment intelligent decision module analyzes the diagnosis and treatment area corresponding to the mobile medical equipment and judges whether the diagnosis and treatment area corresponding to the mobile medical equipment is reasonable, and when judging that the diagnosis and treatment area corresponding to the mobile medical equipment is reasonable, the diagnosis and treatment intelligent decision module judges whether the diagnosis and treatment efficiency corresponding to the mobile medical equipment is qualified.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310438437.2A CN116153480A (en) | 2023-04-23 | 2023-04-23 | Intelligent information diagnosis and treatment system and method based on mobile medical equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310438437.2A CN116153480A (en) | 2023-04-23 | 2023-04-23 | Intelligent information diagnosis and treatment system and method based on mobile medical equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116153480A true CN116153480A (en) | 2023-05-23 |
Family
ID=86352925
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310438437.2A Pending CN116153480A (en) | 2023-04-23 | 2023-04-23 | Intelligent information diagnosis and treatment system and method based on mobile medical equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116153480A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116805530A (en) * | 2023-08-23 | 2023-09-26 | 领华数科(厦门)信息技术有限公司 | Medical equipment use efficiency assessment method based on artificial intelligence |
| CN116864096A (en) * | 2023-09-01 | 2023-10-10 | 齐齐哈尔市第一医院 | Medical equipment environment intelligent monitoring system based on internet |
| CN118173237A (en) * | 2024-05-15 | 2024-06-11 | 江西科技学院 | Medical environment intelligent detection system based on big data analysis |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105868564A (en) * | 2016-04-05 | 2016-08-17 | 苏州联康网络有限公司 | Disease treatment hospital recommendation system |
| CN112951400A (en) * | 2021-04-15 | 2021-06-11 | 深圳市健和医疗科技服务有限公司 | Information acquisition management system and method for clinical emergency medical equipment |
| CN113838584A (en) * | 2021-09-23 | 2021-12-24 | 厦门大学 | Intelligent traditional Chinese medicine diagnosis and treatment system for community |
| CN215813822U (en) * | 2021-09-29 | 2022-02-11 | 重庆臻链汇物联网科技有限公司 | Wisdom medical treatment car networking cloud platform |
| CN115881289A (en) * | 2022-11-03 | 2023-03-31 | 明峰医疗系统股份有限公司 | Medical imaging equipment control analysis system based on Internet of things |
-
2023
- 2023-04-23 CN CN202310438437.2A patent/CN116153480A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105868564A (en) * | 2016-04-05 | 2016-08-17 | 苏州联康网络有限公司 | Disease treatment hospital recommendation system |
| CN112951400A (en) * | 2021-04-15 | 2021-06-11 | 深圳市健和医疗科技服务有限公司 | Information acquisition management system and method for clinical emergency medical equipment |
| CN113838584A (en) * | 2021-09-23 | 2021-12-24 | 厦门大学 | Intelligent traditional Chinese medicine diagnosis and treatment system for community |
| CN215813822U (en) * | 2021-09-29 | 2022-02-11 | 重庆臻链汇物联网科技有限公司 | Wisdom medical treatment car networking cloud platform |
| CN115881289A (en) * | 2022-11-03 | 2023-03-31 | 明峰医疗系统股份有限公司 | Medical imaging equipment control analysis system based on Internet of things |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116805530A (en) * | 2023-08-23 | 2023-09-26 | 领华数科(厦门)信息技术有限公司 | Medical equipment use efficiency assessment method based on artificial intelligence |
| CN116864096A (en) * | 2023-09-01 | 2023-10-10 | 齐齐哈尔市第一医院 | Medical equipment environment intelligent monitoring system based on internet |
| CN116864096B (en) * | 2023-09-01 | 2023-11-21 | 齐齐哈尔市第一医院 | Medical equipment environment intelligent monitoring system based on internet |
| CN118173237A (en) * | 2024-05-15 | 2024-06-11 | 江西科技学院 | Medical environment intelligent detection system based on big data analysis |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116153480A (en) | Intelligent information diagnosis and treatment system and method based on mobile medical equipment | |
| CN110245574B (en) | User fatigue state identification method and device and terminal equipment | |
| CN111613335A (en) | Health early warning system and method | |
| CN107832294A (en) | Customer service quality evaluating method and device | |
| CN111600297B (en) | Online analysis method and device for operation data of power grid equipment under cloud-edge cooperation | |
| CN101695170A (en) | Wireless communication network testing data collection and analysis method based on intelligent mobile phone | |
| CN115002171B (en) | Intelligent operation supervision system of sewage treatment facility | |
| CN117391427A (en) | Medical instrument production intelligent supervision system based on artificial intelligence | |
| CN116978510A (en) | Nursing grading evaluation system for home cerebral apoplexy patient | |
| CN115511329A (en) | Electric power operation compliance monitoring system and method | |
| CN114469084B (en) | Blood oxygen monitoring system based on high-precision ADC | |
| WO2022133451A3 (en) | Predictive diagnostic information system | |
| CN117174311A (en) | Post-traumatic sepsis course monitoring and early warning system, method and application | |
| CN115290140A (en) | Intelligent park environment monitoring method, system, equipment and storage medium | |
| CN115883626A (en) | Internet-based multifunctional information technology consultation service system | |
| CN115618746B (en) | Intelligent equipment diagnosis and analysis method and system based on cloud service | |
| CN108874619B (en) | Information monitoring method, storage medium and server | |
| KR20240043040A (en) | Charging battery life prediction apparatus of battery swapping station using incremental capacity analysis and method thereof | |
| CN115188490A (en) | Epidemic situation prevention and control trace traceability intelligent management platform based on big data analysis | |
| JP7241522B2 (en) | OPERATION MONITORING SYSTEM, OPERATION MONITORING METHOD, AND CONTROL PROGRAM | |
| CN113065500A (en) | Abnormal behavior control system for special actions | |
| CN112396313A (en) | Method for optimizing telephone sales performance by using smart watch | |
| CN111401304A (en) | Calibration method and system of electroencephalogram application system, terminal device and storage medium | |
| CN112270805B (en) | Fatigue state early warning system and fatigue state information management system | |
| CN114994268B (en) | Intelligent monitoring system for detecting eutrophication of water body |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20230523 |
|
| RJ01 | Rejection of invention patent application after publication |