CN116705262A - Medical equipment management and recommendation method - Google Patents

Medical equipment management and recommendation method Download PDF

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Publication number
CN116705262A
CN116705262A CN202310705095.6A CN202310705095A CN116705262A CN 116705262 A CN116705262 A CN 116705262A CN 202310705095 A CN202310705095 A CN 202310705095A CN 116705262 A CN116705262 A CN 116705262A
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medical device
medical
medical equipment
doctor
operating room
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CN202310705095.6A
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CN116705262B (en
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李引
施建卫
刘芳
王玥
高强国
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Suzhou Archimedes Network Technology Co ltd
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Suzhou Archimedes Network Technology Co ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • 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
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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  • Engineering & Computer Science (AREA)
  • General Business, Economics & Management (AREA)
  • Health & Medical Sciences (AREA)
  • Business, Economics & Management (AREA)
  • Biomedical Technology (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

The application relates to the technical field of medical equipment, in particular to a management and recommendation method of medical equipment, which comprises the following steps: determining a location of an operating room and a type of the operation in response to a doctor's need to perform the operation in the operating room; determining objective preference degrees of the medical devices; determining subjective preference of the doctor for each medical device; integrating the idle state, the maintenance state, the fault state and the annual state of each medical device, and determining objective recommendation factors of each medical device; determining a distance recommendation factor of each medical device to the operating room; the comprehensive recommendation degree of each medical device is determined through weighted calculation; and respectively recommending and sequencing different medical equipment of the same kind according to the magnitude of the comprehensive recommendation degree. The method recommends medical equipment suitable for the doctor, and facilitates the doctor to use the medical equipment.

Description

Medical equipment management and recommendation method
Technical Field
The application relates to the technical field of medical equipment, in particular to a management and recommendation method of medical equipment.
Background
With the continuous improvement of hospital construction level and medical equipment technology, various medical equipment with special functions and complex structures are continuously researched and developed and participate in actual medical diagnosis and operation processes. In the prior art, a plurality of medical equipment of the same type and a plurality of operating rooms are arranged in a hospital, the medical equipment is often moved back and forth in the operating rooms according to the requirements of different surgeons for different operations, on one hand, the medical equipment is not managed well in the mode, inconvenience is brought to the doctor in using the medical equipment during the operations, and on the other hand, the medical equipment which is most suitable for the doctor cannot be matched with the medical equipment for different doctors.
Disclosure of Invention
In order to solve the defects existing in the prior art, the application aims to provide a medical equipment management and recommendation method, an electronic equipment and a storage medium.
In order to achieve the above object, the present application provides a method for managing and recommending medical equipment, including:
determining a location of an operating room and a type of the operation in response to a doctor's need to perform the operation in the operating room;
calculating the ratio of the use times of each medical device when the type of surgery is implemented and the total implementation times of the type of surgery in a preset historical time period in a statistics way, and determining the objective preference degree of each medical device;
calculating the ratio of the times of using each medical device by the doctor when the doctor performs the type of operation to the times of performing the type of operation in a preset historical time period in a statistics way, and determining the subjective preference degree of the doctor on each medical device;
integrating the idle state, the maintenance state, the fault state and the annual state of each medical device, and determining objective recommendation factors of each medical device;
determining a distance recommendation factor of each medical device to the operating room based on the distance between each medical device and the operating room;
the comprehensive recommendation degree of each medical device is determined through weighted calculation based on the objective preference degree of each medical device, the subjective preference degree of the doctor on each medical device, the objective recommendation factor of the medical device and the distance recommendation factor of each medical device on the operating room;
and respectively recommending and sequencing different medical equipment of the same kind according to the magnitude of the comprehensive recommendation degree.
Further, the method further comprises:
based on the use interval of each medical device, determining the time attenuation factor of each medical device, and further determining the objective preference degree of each medical device and the subjective preference degree of the doctor on each medical device.
Further, the method further comprises:
the method comprises the steps that a positioning tag obtains a Beacon signal transmitted by a Bluetooth Beacon on medical equipment, and signal intensity data when the Beacon signal is received is transmitted to a positioning base station nearest to the positioning tag through Lora wireless transmission, wherein the positioning tag and the positioning base station are arranged in each operating room;
the positioning base station encapsulates the received signal strength data into equipment position data and sends the equipment position data to a positioning server;
the positioning server analyzes the equipment position data, compares the signal intensity of Beacon signals acquired by different signal tags from Bluetooth beacons on the same medical equipment, and determines the position of the medical equipment and the distance between the medical equipment and the operating room.
The device location data includes: positioning base station identification, positioning Beacon identification, bluetooth tag identification, medical equipment identification corresponding to the Bluetooth tag, operating room where medical equipment is located, beacon signal intensity and Beacon signal acquisition time.
Further, a current sensing element is arranged in the Bluetooth tag and used for sensing current change of the medical equipment to monitor whether the medical equipment is in operation.
Further, the method further comprises:
and regularly collecting the current intensity of the medical equipment, and the indoor temperature and humidity information of an operating room where the medical equipment is located, and monitoring the medical equipment.
Further, the method further comprises:
when a doctor performs an operation, doctor information, medical equipment information and operation information uploading databases are recorded.
Further, the method further comprises:
uploading doctor information when an RFID tag scanning gun in an operating room scans an RFID tag of a doctor, wherein the RFID tag records doctor information, and the doctor information comprises: doctor name, gender, age, head portrait and department information.
In order to achieve the above object, the present application provides an electronic device, including:
a processor;
a memory including one or more computer program modules;
wherein the one or more computer program modules are stored in the memory and configured to be executed by the processor, the one or more computer program modules, when executed, implementing the medical device management and recommendation method as described above.
To achieve the above object, the present application provides a computer-readable storage medium having stored thereon computer instructions which, when executed, perform the steps of the medical device management and recommendation method as described above.
According to the medical equipment management and recommendation method, data acquisition and management are carried out on medical equipment, so that medical equipment suitable for different doctors can be recommended for the doctors according to the operation demands of the doctors, and the doctors can use the medical equipment conveniently.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application.
Drawings
The accompanying drawings are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate the application and together with the embodiments of the application, and do not limit the application. In the drawings:
FIG. 1 is a flow chart of a method for managing and recommending medical equipment according to the present application;
FIG. 2 is a flow chart of a method of acquiring a location of a medical device according to the present application.
Detailed Description
Embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While the application is susceptible of embodiment in the drawings, it is to be understood that the application may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided to provide a more thorough and complete understanding of the application. It should be understood that the drawings and embodiments of the application are for illustration purposes only and are not intended to limit the scope of the present application.
It should be understood that the various steps recited in the method embodiments of the present application may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the application is not limited in this respect.
The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments. Related definitions of other terms will be given in the description below.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those skilled in the art will appreciate that "one or more" is intended to be construed as "one or more" unless the context clearly indicates otherwise. "plurality" is understood to mean two or more.
Hereinafter, embodiments of the present application will be described in detail with reference to the accompanying drawings.
Example 1
An embodiment of the application provides a medical equipment management and recommendation method which is used for managing medical equipment and facilitating medical equipment use of doctors.
Fig. 1 is a flowchart of a method for managing and recommending medical devices according to the present application, and the method for managing and recommending medical devices according to the present application will be described in detail with reference to fig. 1-2:
step S101: determining a location of an operating room and a type of the operation in response to a doctor's need to perform the operation in the operating room;
specifically, the surgeon determines the operating room and the type of surgery to be performed before performing the surgery.
Step S102: calculating the ratio of the use times of each medical device when the type of surgery is implemented and the total implementation times of the type of surgery in a preset historical time period in a statistics way, and determining the objective preference degree of each medical device;
it should be noted that, when a doctor performs an operation, a plurality of medical devices may be required, and a plurality of medical devices with the same function may be provided in a hospital, and although the medical devices with the same function have the same function, due to the influence of factors such as different manufacturers, different operation methods, different new and old, etc., the medical devices with the same function may be selected differently when the doctor performs the same operation.
In this embodiment, after the type of surgery to be performed by the doctor is determined, the number of times of the type of surgery and the number of times of each medical device used in a preset history period are counted, and the ratio of the number of times of each medical device used to the number of times of the type of surgery is calculated to determine the objective preference degree of each medical device.
It will be appreciated that the setting of the preset history period is required to be moderate, and that when the preset history period is too long, there may be hysteresis in the medical device usage record. Exemplary, for example: when the preset time period is 5 years, the medical equipment A is used in the operation in the first 4 years of a doctor, and in the last year, the medical equipment B of the same type is newly added in a hospital, because the performance of the medical equipment B is more excellent, the doctor uses the medical equipment B in the operation in the last year, so that the acquisition of the medical equipment use record of 5 years has no reference meaning, unless the use times of the medical equipment in different time periods are weighted by the weight value which is decreased, the weight of the time period which is far from the present time period is set to be high, and the weight of the time period which is far from the present time period is low. Such as: the weight of the number of times the medical device was used once in the last year was 1, the weight of the number of times the medical device was used once in the last year was 0.8, and the previous year was 0.6.
In this embodiment, the time attenuation factor of each medical device is determined by the use interval of each medical device, and the objective preference of each medical device is further determined.
Specifically, the following formula is adopted:
P1 = S * TTF * F(t)；
F(t)=c*exp(-d*t)；
where P1 is the objective preference of the medical device, S is the weight of the medical device, d is the cooling coefficient, t is the interval of use of the medical device, c is the initial temperature, and TTF is the ratio of the number of times of use of the medical device to the number of times of performance of the type of surgery.
It will be appreciated that the weight of the medical device may be adapted to subjective settings, defaulting to 1.
By way of example, assume that the time decay factor for a medical device used at intervals of 365 days is 0.5. The cooling coefficient d= 0.001899, if the last use of device a was currently 30 days, the time decay factor f=1 x exp (-0.001899 x 30) = 0.9446.
Step S103: calculating the ratio of the times of using each medical device by the doctor when the doctor performs the type of operation to the times of performing the type of operation in a preset historical time period in a statistics way, and determining the subjective preference degree of the doctor on each medical device;
in this embodiment, after determining the type of surgery to be performed by a doctor, the number of times the doctor performs the type of surgery and the number of times the doctor uses each medical device when performing the type of surgery are counted in a preset history period, and the ratio of the number of times each medical device is used to the number of times the doctor performs the type of surgery is calculated as the subjective preference of the doctor for the medical device.
In this embodiment, the time attenuation factor of each medical device is determined by the use interval of each medical device, and the subjective preference of the doctor for each medical device is further determined.
In the present embodiment, the following formula is adopted:
P2 = S * PTF * F(t)；
F(t)=c*exp(-d*t)；
wherein P2 is the subjective preference of a doctor to the medical equipment, S is the weight of the medical equipment, d is the cooling coefficient, t is the use interval of the medical equipment, c is the initial temperature (default 1), and PTF is the ratio of the use times of the medical equipment to the times of the doctor to perform the type of operation.
By way of example, assume that the time decay factor for a medical device used at intervals of 365 days is 0.5. The cooling coefficient a= 0.001899, if the last use of the device a is currently 30 days, the time decay factor f=1×exp (-0.001899 ×30) = 0.9446.
Step S104: integrating the idle state, the maintenance state, the fault state and the annual state of each medical device, and determining objective recommendation factors of each medical device;
in this embodiment, the idle states of the medical device are classified into a default state 1, an idle state 1, and a use state 0.
In this embodiment, the maintenance state of the medical device is classified into a default state 1, a maintenance day state 0, a maintenance month state 0.5, and other time state 1.
In this embodiment, the fault states of the medical device are classified into a default state 1, a fault state 0, and a general state 1-fault rate, where the fault states refer to states when the fault rate exceeds a certain value or other special damage conditions, and when the medical device is in the fault state, repair is performed.
In this embodiment, the medical device has a life cycle state divided into a default state 1, an overlife state 0, a short life state 1, a middle life state 0.9, and a high life state 0.8, and the overlife state refers to a case where the medical device has a life cycle exceeding a life cycle threshold (default 10 years), the short life cycle is 0 to 2 years, the middle life cycle is 3 to 5 years, and the high life cycle is 6 to 10 years.
In this embodiment, the objective recommendation factor of the medical device is equal to the product of the values of the idle state, the maintenance state, the failure state, and the age state of each medical device, and the formula is as follows:
T=T1* T2* T3* T4。
wherein, T is the objective recommendation factor of the medical equipment, T1 is the idle state of the medical equipment, T2 is the maintenance state of the medical equipment, T3 is the fault state of the medical equipment, and T4 is the annual state of the medical equipment.
It will be appreciated that in other embodiments, other ways of determining objective recommendation factors for each medical device may be used, in combination with the idle state, maintenance state, fault state, and age state of each medical device.
Step S105: determining a distance recommendation factor of each medical device to the operating room based on the distance between each medical device and the operating room;
specifically, the default distance recommendation factor is 1; the distance recommendation factor is 0 when the distance exceeds a threshold (default 200 meters) or positioning is impossible; the distance recommendation factor is 0 when the distance is 0-10 meters; more than 10 meters was calculated using the decay algorithm.
In this embodiment, the attenuation algorithm attenuates according to 5 meters, and the formula is as follows:
D=1*exp(-a*(s-10)/5)；
where D is a distance recommendation factor, a is a cooling coefficient, and s is a distance.
For example, assume a distance recommendation factor of 0.5 at a distance of 100 meters. The cooling coefficient a= 0.006931 is obtained, if the medical device a is 60 meters from the operating room, the distance recommendation factor f=1×exp (-0.006931 ×60-10)/5) = 0.9330.
Step S106: the comprehensive recommendation degree of each medical device is determined by weighting calculation based on the objective preference degree of each medical device, the subjective preference degree of doctors on each medical device, the objective recommendation factor of the medical device and the distance recommendation factor of each medical device on an operating room;
in the present embodiment, the following formula is adopted for calculation:
P=T *D*(α*P1+β*P2)；
wherein P is the comprehensive recommendation degree of the medical equipment, T is the objective recommendation factor of the medical equipment, D is the distance recommendation factor, alpha and beta are weight coefficients, P1 is the objective preference degree of the medical equipment, and P2 is the subjective preference degree of doctors on the medical equipment.
Step S107: and respectively recommending and sequencing different medical equipment of the same kind according to the magnitude of the comprehensive recommendation degree.
In this embodiment, the medical devices required are recommended to the doctor according to the recommendation order.
In this embodiment, the position of the medical device and the distance between the medical device and the operating room are determined as follows:
s201: the method comprises the steps that a positioning tag obtains a Beacon signal transmitted by a Bluetooth Beacon on medical equipment, and signal intensity data when the Beacon signal is received is transmitted to a positioning base station nearest to the Beacon signal through Lora wireless transmission, wherein the positioning tag and the positioning base station are arranged in each operating room;
specifically, a positioning base station and a positioning tag are arranged in each operating room, each medical device is provided with a Bluetooth beacon, the Bluetooth beacons are bound with the medical device where the Bluetooth beacons are located to move along with the movement of the medical device, and the positioning tag and the positioning base station are bound with the operating room where the Bluetooth beacons are located and do not move. The positioning tag acquires the Beacon signal sent by the Bluetooth Beacon at fixed time, and sends the signal intensity data of the Beacon signal to a positioning base station in an operating room.
S202: the positioning base station packages the received signal strength data into equipment position data and sends the equipment position data to a positioning server;
specifically, the positioning base station encapsulates the Beacon signal into equipment position data comprising a positioning base station identifier, a positioning Beacon identifier, a Bluetooth tag identifier, a medical equipment identifier corresponding to the Bluetooth tag, an operating room where the medical equipment is located, beacon signal intensity and Beacon signal acquisition time.
S203: the positioning server analyzes the equipment position data, compares the Beacon signal intensity in the equipment position data of the same medical equipment, and determines the position of the medical equipment and the distance between the medical equipment and the operating room.
Specifically, the Beacon signal sent by the bluetooth tag on the same medical device can be acquired by a plurality of positioning beacons in different operating rooms, and then packaged and sent to the positioning server by different positioning base stations, the positioning server compares the Beacon signal intensity in the position data of each device related to the medical device, the operating room where the positioning base station sending the device position data with the strongest Beacon signal intensity is the position where the medical device is located, and then the distance between the medical device and the operating room to be operated is determined according to the distance between the two operating rooms.
In this embodiment, a current sensing element is disposed in the bluetooth tag, and the current sensing element is configured to sense a current change of the medical device to monitor whether the medical device is in operation, so as to obtain an operating time length of the medical device.
In this embodiment, the method for managing medical equipment further includes:
and regularly collecting the current intensity of the medical equipment, and the indoor temperature and humidity information of an operating room where the medical equipment is located, and monitoring the medical equipment.
In this embodiment, the method for managing medical equipment further includes:
when a doctor performs an operation, doctor information, medical equipment information and operation information uploading databases are recorded.
In this embodiment, the method for managing medical equipment further includes:
uploading doctor information when the RFID tag scanning gun in the operating room scans the RFID tag of a doctor, wherein the RFID tag records doctor information, and the doctor information comprises: doctor name, gender, age, head portrait and department information.
Example 2
In this embodiment, an electronic device is also provided, where the electronic device includes a processor and a memory. The memory is used to store non-transitory computer-readable instructions (e.g., one or more computer program modules). The processor is configured to execute non-transitory computer readable instructions that, when executed by the processor, may perform one or more of the steps of the medical device management and recommendation method described above. The memory and processor may be interconnected by a bus system and/or other forms of connection mechanisms (not shown).
For example, the processor may be a Central Processing Unit (CPU), a Digital Signal Processor (DSP), or other form of processing unit having data processing and/or program execution capabilities, such as a Field Programmable Gate Array (FPGA), or the like; for example, the Central Processing Unit (CPU) may be an X86 or ARM architecture, or the like.
For example, the memory may comprise any combination of one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. Volatile memory can include, for example, random Access Memory (RAM) and/or cache memory (cache) and the like. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, erasable programmable read-only memory (EPROM), portable compact disc read-only memory (CD-ROM), USB memory, flash memory, and the like. One or more computer program modules may be stored on the computer readable storage medium and executed by the processor to perform various functions of the electronic device. Various applications and various data, as well as various data used and/or generated by the applications, etc., may also be stored in the computer readable storage medium.
It should be noted that, in the embodiments of the present application, specific functions and technical effects of the electronic device may refer to the above description about the method for managing and recommending the medical device, which is not repeated herein.
Example 3
In this embodiment, there is also provided a computer-readable storage medium for storing non-transitory computer-readable instructions. For example, non-transitory computer readable instructions, when executed by a computer, may perform one or more steps in a method of managing and recommending medical devices according to the above.
For example, the storage medium may be applied to the above-described electronic device. For example, the storage medium may be a memory in the electronic device of embodiment 2. For example, the relevant description of the storage medium may refer to a corresponding description of a memory in an electronic device, which is not repeated here.
The storage medium (computer readable medium) of the present application may be a computer readable signal medium, a non-transitory computer readable storage medium, or any combination of the two. The non-transitory computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the non-transitory computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
In the context of this document, a non-transitory computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present application, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a non-transitory computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), or the like, or any suitable combination of the foregoing.
The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device.
Computer program code for carrying out operations of the present application may be written in one or more programming languages, including but not limited to an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments of the present application may be implemented in software or in hardware. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.
The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), etc.
The above description is only illustrative of some of the embodiments of the present application and of the principles of the technology employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in the present application is not limited to the specific combinations of technical features described above, but also covers other technical features formed by any combination of the technical features described above or their equivalents without departing from the spirit of the disclosure. Such as the above-mentioned features and the technical features disclosed in the present application (but not limited to) having similar functions are replaced with each other.
Moreover, although operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. In certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the application. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are example forms of implementing the claims.

Claims (10)

1. A method of managing and recommending medical equipment, comprising:
determining a location of an operating room and a type of the operation in response to a doctor's need to perform the operation in the operating room;
calculating the ratio of the use times of each medical device when the type of surgery is implemented and the total implementation times of the type of surgery in a preset historical time period in a statistics way, and determining the objective preference degree of each medical device;
calculating the ratio of the times of using each medical device by the doctor when the doctor performs the type of operation to the times of performing the type of operation in a preset historical time period in a statistics way, and determining the subjective preference degree of the doctor on each medical device;
integrating the idle state, the maintenance state, the fault state and the annual state of each medical device, and determining objective recommendation factors of each medical device;
determining a distance recommendation factor of each medical device to the operating room based on the distance between each medical device and the operating room;
the comprehensive recommendation degree of each medical device is determined through weighted calculation based on the objective preference degree of each medical device, the subjective preference degree of the doctor on each medical device, the objective recommendation factor of the medical device and the distance recommendation factor of each medical device on the operating room;
and respectively recommending and sequencing different medical equipment of the same kind according to the magnitude of the comprehensive recommendation degree.
2. The method of managing and recommending medical equipment according to claim 1, further comprising:
based on the use interval of each medical device, determining the time attenuation factor of each medical device, and further determining the objective preference degree of each medical device and the subjective preference degree of the doctor on each medical device.
3. The method of managing and recommending medical equipment according to claim 1, further comprising:
the method comprises the steps that a positioning tag obtains a Beacon signal transmitted by a Bluetooth Beacon on medical equipment, and signal intensity data when the Beacon signal is received is transmitted to a positioning base station nearest to the positioning tag through Lora wireless transmission, wherein the positioning tag and the positioning base station are arranged in each operating room;
the positioning base station encapsulates the received signal strength data into equipment position data and sends the equipment position data to a positioning server;
the positioning server analyzes the equipment position data, compares the signal intensity of Beacon signals acquired by different signal tags from Bluetooth beacons on the same medical equipment, and determines the position of the medical equipment and the distance between the medical equipment and the operating room.
4. The method of managing and recommending medical equipment according to claim 3, wherein the equipment location data comprises: positioning base station identification, positioning Beacon identification, bluetooth tag identification, medical equipment identification corresponding to the Bluetooth tag, operating room where medical equipment is located, beacon signal intensity and Beacon signal acquisition time.
5. The method of claim 4, wherein a current sensing element is disposed in the bluetooth tag for sensing a current change of the medical device to monitor whether the medical device is in operation.
6. The method of managing and recommending medical equipment according to claim 5, further comprising:
and regularly collecting the current intensity of the medical equipment, and the indoor temperature and humidity information of an operating room where the medical equipment is located, and monitoring the medical equipment.
7. The method of managing and recommending medical equipment according to claim 6, further comprising:
when a doctor performs an operation, doctor information, medical equipment information and operation information uploading databases are recorded.
8. The method of managing and recommending medical equipment according to claim 7, wherein the method comprises:
uploading doctor information when an RFID tag scanning gun in an operating room scans an RFID tag of a doctor, wherein the RFID tag records doctor information, and the doctor information comprises: doctor name, gender, age, head portrait and department information.
9. An electronic device, comprising:
a processor;
a memory including one or more computer program modules;
wherein the one or more computer program modules are stored in the memory and configured to be executed by the processor, the one or more computer program modules for implementing the method of managing and recommending medical devices of any of claims 1-8.
10. A computer readable storage medium having stored thereon computer instructions which when executed perform the steps of the method of managing and recommending medical equipment according to any of claims 1-8.
CN202310705095.6A 2023-06-14 2023-06-14 Medical equipment management and recommendation method Active CN116705262B (en)

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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120234915A1 (en) * 2009-09-28 2012-09-20 Sandro Cappuzzo Method and system for monitoring the flow and usage of medical devices
US20180289434A1 (en) * 2017-04-06 2018-10-11 Matti Palo System and method for coordinating a surgical procedure
US20190180867A1 (en) * 2017-12-07 2019-06-13 International Business Machines Corporation Dynamic operating room scheduler using machine learning
CN110459290A (en) * 2019-08-20 2019-11-15 曹庆恒 A kind of method, system and the equipment of intelligent recommendation medical instrument
US20190385732A1 (en) * 2016-11-28 2019-12-19 Surgical Safety Systems, Llc Medical tools management system and methods for operating same
CN115206504A (en) * 2022-06-29 2022-10-18 中日友好医院(中日友好临床医学研究所) Operating room shared medical equipment management system and working method thereof
CN115757982A (en) * 2021-09-03 2023-03-07 苏州蓝点医疗科技有限公司 Medical instrument recommendation method and system based on artificial intelligence
CN115768360A (en) * 2020-04-20 2023-03-07 艾维尔医疗系统公司 System and method for medical procedure preparation

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120234915A1 (en) * 2009-09-28 2012-09-20 Sandro Cappuzzo Method and system for monitoring the flow and usage of medical devices
US20190385732A1 (en) * 2016-11-28 2019-12-19 Surgical Safety Systems, Llc Medical tools management system and methods for operating same
US20180289434A1 (en) * 2017-04-06 2018-10-11 Matti Palo System and method for coordinating a surgical procedure
US20190180867A1 (en) * 2017-12-07 2019-06-13 International Business Machines Corporation Dynamic operating room scheduler using machine learning
CN110459290A (en) * 2019-08-20 2019-11-15 曹庆恒 A kind of method, system and the equipment of intelligent recommendation medical instrument
CN115768360A (en) * 2020-04-20 2023-03-07 艾维尔医疗系统公司 System and method for medical procedure preparation
CN115757982A (en) * 2021-09-03 2023-03-07 苏州蓝点医疗科技有限公司 Medical instrument recommendation method and system based on artificial intelligence
CN115206504A (en) * 2022-06-29 2022-10-18 中日友好医院(中日友好临床医学研究所) Operating room shared medical equipment management system and working method thereof

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
YONG-FENG HUANG ET AL: "A doctor recommendation algorithm based on doctor performances and patient preferences", 《2012 INTERNATIONAL CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICWAMTIP)》, 17 January 2013 (2013-01-17) *
阿基米德医学装备管理: "手术室医疗设备精智化管理解决方案", pages 4 - 7, Retrieved from the Internet <URL:http://www.cn-healthcare.com/articlewm/20230506/content-1546529.html> *
陈小萍;康宜琴;圣小平;: "精细化管理在腔镜手术器械管理中的应用", 江苏医药, no. 06, 30 March 2015 (2015-03-30) *
韦懿珊;: "探讨提高腔镜手术器械准备准确率的方法", 吉林医学, no. 04, 5 February 2013 (2013-02-05) *

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