A digital hospital logistics equipment supervision system

Abstract

The present invention relates to the field of equipment supervision, and discloses a digital hospital logistics equipment supervision system, comprising medical equipment, a label reading terminal, a label generation module, an equipment monitoring module, a medical data statistics module, an analysis module, a label reading module and a comprehensive statistics module; an electronic label is generated by the label generation module, and operation data is obtained by the equipment monitoring module; medical data is counted by the medical data statistics module; an equipment status index is obtained by the analysis module; the label reading module reads the equipment name, equipment specification and equipment status index in a detection area; the equipment name, equipment specification and equipment status index of each medical equipment in the detection area are analyzed by the comprehensive statistics module, and a comprehensive status rating of the same medical equipment in the detection area is obtained; the logistics staff can rate the comprehensive status of the same medical equipment during inventory, understand the status of various medical equipment, and facilitate the later purchase of medical equipment.

Description

Technical Field

[0001] The present invention relates to the field of equipment supervision, and in particular to a digital hospital logistics equipment supervision system. Background Art

[0002] Medical equipment refers to instruments, equipment or appliances used on the human body alone or in combination; medical equipment includes diagnostic equipment, therapeutic equipment and monitoring equipment, which are used to diagnose the patient's condition, assist in treatment and monitor vital signs in real time; medical equipment is an indispensable and important part of the modern medical field. In different application scenarios, it provides doctors with accurate diagnostic information and treatment methods, and provides patients with more effective and comprehensive medical services and rehabilitation support.

[0003] In large hospitals, there are a large number of medical devices. In order to facilitate the management of medical equipment by logistics personnel, electronic tags are usually generated for each medical device. Then, a handheld inventory counting machine is taken to the detection area to read the electronic tags in the entire detection area and perform data statistics.

[0004] However, the data statistics after inventory usually only show the name, model and corresponding quantity of medical equipment, but cannot show the status of various medical equipment. Logistics staff can only rely on experience to judge the wear and tear of various medical equipment and then make purchases; the experience of logistics staff is not accurate, which may cause waste of medical equipment or insufficient purchase of medical equipment. Summary of the invention

[0005] The purpose of the present invention is to provide a digital hospital logistics equipment supervision system to solve the following technical problems:

[0006] How to obtain the status of various medical equipment through handheld inventory machines and provide data reference for logistics staff to purchase medical equipment.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A digital hospital logistics equipment supervision system includes a plurality of medical devices and a label reading terminal, and the system also includes:

[0009] A label generation module is used to generate a unique electronic label for each medical device;

[0010] A plurality of equipment monitoring modules, corresponding one to one with the medical equipment, the equipment monitoring modules are respectively arranged on the corresponding medical equipment, and are used to monitor the operation status of the corresponding medical equipment, and obtain and save the operation data of the corresponding medical equipment;

[0011] A plurality of medical data statistics modules, corresponding one to one with the medical devices, the medical data statistics modules are respectively arranged on the corresponding medical devices, and are used to count the medical data of the corresponding medical devices;

[0012] A plurality of analysis modules, corresponding to each medical device, are respectively arranged on the corresponding medical devices, and are connected to the device monitoring module and the medical data statistics module on the corresponding medical devices; and are used to analyze the operation data and medical data of the corresponding medical devices to obtain the device status index of the corresponding medical devices;

[0013] A tag reading module, which is arranged at a tag reading terminal and is used to read the electronic tag on the medical device in the detection area and obtain the tag information of the electronic tag, wherein the tag information includes the device name, device specification and device status index;

[0014] The comprehensive statistics module is set up in the tag reading terminal to analyze the device name, device specification and device status index of each medical device in the detection area to obtain the comprehensive status rating of the same medical device in the detection area.

[0015] As a further solution of the present invention: the operation data includes the daily working hours of the corresponding medical device and the daily click count of the start task button on the corresponding medical device;

[0016] The medical data includes the number of people tested by the corresponding medical equipment every day.

[0017] As a further solution of the present invention: the analysis process of the analysis module is:

[0018] S1: Randomly select N days in the past preset time period, and obtain the command response index of the corresponding medical device by analyzing the number of clicks on the start task button on the corresponding medical device and the number of people tested on the corresponding medical device every day in the N days;

[0019] S2: Obtain the device status index by analyzing the command response index of the corresponding medical device and the daily working hours of the corresponding medical device.

[0020] As a further solution of the present invention: the device status index is calculated by the formula get;

[0021] in, is the equipment status index; The total number of days the medical equipment has been in use since it was put into use. ; For medical equipment use Length of work per day; The standard working hours of a day for corresponding medical equipment; The estimated cumulative life span of the corresponding medical device; is the command response index of the corresponding medical device; is the first weight coefficient; is the second weight coefficient; is the third weight coefficient; is the judgment function, when hour, ;when hour, ; is the initial device status index.

[0022] As a further solution of the present invention: the command response index of the corresponding medical device is expressed by the formula get;

[0023] in, The number of clicks on the start task button of the corresponding medical device on the nth day among N days is randomly selected; The number of people tested for the corresponding medical device on the nth day among N days is randomly selected; It is the preset error ratio of the number of clicks on the task start button of the corresponding medical device to the number of inspections of the corresponding medical device.

[0024] As a further solution of the present invention: the working process of the comprehensive statistics module includes:

[0025] S10: Read the electronic tags on the medical devices in the detection area through the tag reading module to obtain the tag information of the electronic tags, including the device name, device specifications and device status index;

[0026] S20: Count the number of various types of medical equipment;

[0027] S30: Analyze the device status index and quantity of the same medical devices according to preset rules to obtain a comprehensive status rating.

[0028] As a further solution of the present invention: the preset rules include:

[0029] By formula Calculate the comprehensive status index of the same medical device ;

[0030] in, is the number of medical devices of the same type, Serial number of the same medical device; It is the first medical device of its kind Equipment status index of each medical device; is the adjustment coefficient.

[0031] As a further solution of the present invention: the preset rules also include:

[0032] The comprehensive status index With preset threshold For comparison,

[0033] when When the comprehensive status is rated as level one;

[0034] when When the comprehensive status is rated as Level 2;

[0035] when , the comprehensive status rating is level three.

[0036] Beneficial effects of the present invention:

[0037] (1) The present invention generates electronic tags through a tag generation module, obtains operation data through an equipment monitoring module, collects medical data through a medical data statistics module, obtains equipment status index through an analysis module, reads equipment names, equipment specifications and equipment status indexes in a detection area through a tag reading module, analyzes the equipment names, equipment specifications and equipment status indexes of various medical equipment in the detection area through a comprehensive statistics module, and obtains a comprehensive status rating of the same medical equipment in the detection area; enables logistics staff to obtain a comprehensive status rating of the same medical equipment during inventory, understand the status of various types of medical equipment, and facilitate the subsequent purchase of medical equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The present invention will be further described below in conjunction with the accompanying drawings.

[0039] Figure 1 A system module framework diagram of an embodiment of the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] See also Figure 1 As shown, in one embodiment, a digital hospital logistics equipment supervision system is provided, including multiple medical devices and a label reading terminal, and the system also includes:

[0042] A label generation module is used to generate a unique electronic label for each medical device;

[0043] A plurality of equipment monitoring modules, corresponding one to one with the medical equipment, the equipment monitoring modules are respectively arranged on the corresponding medical equipment, and are used to monitor the operation status of the corresponding medical equipment, and obtain and save the operation data of the corresponding medical equipment;

[0044] A plurality of medical data statistics modules, corresponding one to one with the medical devices, the medical data statistics modules are respectively arranged on the corresponding medical devices, and are used to count the medical data of the corresponding medical devices;

[0045] A plurality of analysis modules, corresponding to each medical device, are respectively arranged on the corresponding medical devices, and are connected to the device monitoring module and the medical data statistics module on the corresponding medical devices; and are used to analyze the operation data and medical data of the corresponding medical devices to obtain the device status index of the corresponding medical devices;

[0046] A tag reading module, which is arranged at the tag reading terminal and is used to read the electronic tag on the medical device in the detection area and obtain the tag information of the electronic tag, wherein the tag information includes the device name, device specification and device status index;

[0047] A comprehensive statistics module is set in the tag reading terminal to analyze the device name, device specification and device status index of each medical device in the detection area to obtain a comprehensive status rating of the same medical device in the detection area;

[0048] Through the above technical solution, this embodiment generates a unique electronic tag for each medical device through the label generation module, and attaches the electronic tag to the corresponding medical device, monitors the operating status of the corresponding medical device by setting an equipment monitoring module on each medical device, obtains and saves the operating data of the corresponding medical device; sets a medical data statistics module on each medical device to count the medical data of the corresponding medical device; sets an analysis module on each medical device to analyze the operating data and medical data of the corresponding medical device to obtain the equipment status index of the corresponding medical device; reads the electronic tag on the medical device in the detection area through the label reading module set in the label reading terminal, and obtains the device name, device specification and device status index of the electronic tag; analyzes the device name, device specification and device status index of each medical device in the detection area through the comprehensive statistics module set in the label reading terminal, and obtains the comprehensive status rating of the same medical device in the detection area; so that the logistics staff can not only intuitively count the number of medical devices with the same device name and device specification when taking inventory of medical equipment, but also intuitively see the comprehensive status rating of the same medical equipment, so as to better understand the status of various types of medical equipment, and facilitate the purchase of medical equipment according to the status of various types of medical equipment in the later stage.

[0049] As an embodiment of the present invention, the operation data includes the daily working hours of the corresponding medical device and the daily click count of the start task button on the corresponding medical device;

[0050] The medical data includes the number of people tested by the corresponding medical equipment every day;

[0051] Through the above technical solution, the method for obtaining the daily number of clicks on the start task button on the corresponding medical device and the daily working hours of the corresponding medical device in this embodiment are both existing technologies and will not be described in detail here.

[0052] As an implementation manner of the present invention, the analysis process of the analysis module is:

[0053] S1: Randomly select N days in the past preset time period, and obtain the command response index of the corresponding medical device by analyzing the number of clicks on the start task button on the corresponding medical device and the number of people tested on the corresponding medical device every day in the N days;

[0054] S2: Obtain the device status index by analyzing the command response index of the corresponding medical device and the daily working hours of the corresponding medical device;

[0055] Through the above technical solution, this embodiment randomly selects N days in a preset time period in the past, and the N days may not be consecutive. By analyzing the number of clicks on the start task button on the corresponding medical device and the number of inspections of the corresponding medical device per day for N days, the command response index of the corresponding medical device is obtained; then, by analyzing the command response index of the corresponding medical device and the daily working hours of the corresponding medical device, the device status index is obtained; and the status of the corresponding medical device is reflected by the device status index.

[0056] As an implementation mode of the present invention, the device status index is expressed by the formula get;

[0057] in, is the equipment status index; The total number of days the medical equipment has been in use since it was put into use. ; For medical equipment use Length of work per day; The standard working hours of a day for corresponding medical equipment; The estimated cumulative life span of the corresponding medical device; is the command response index of the corresponding medical device; is the first weight coefficient; is the second weight coefficient; is the third weight coefficient; is the judgment function, when hour, ;when hour, ; is the initial device status index;

[0058] Through the above technical solution, this embodiment For medical equipment use The difference between the working hours of a day and the standard working hours of a day for the corresponding medical device; When the corresponding medical device is used The working hours of a day exceed the standard working hours of the corresponding medical equipment in a day, and the medical equipment works overtime; The total number of days the corresponding medical equipment is in use The cumulative overtime working time within The larger the value, the greater the negative impact on the status of the medical device. The bigger; The total number of days the corresponding medical equipment is in use The accumulated working hours within The total number of days the corresponding medical equipment is in use The ratio of the cumulative working hours within the period to the estimated cumulative life span of the corresponding medical equipment, and the total number of days the corresponding medical equipment is in use The longer the cumulative working time is, the worse the corresponding medical equipment is. The bigger; The command response index of the corresponding medical device; the command response index of the corresponding medical device The larger the value, the longer the device response time is, and the worse the status of the corresponding medical device is. The bigger;

[0059] It should be noted that the standard working hours of medical equipment in one day , the estimated cumulative life span of the corresponding medical equipment , the first weight coefficient , the second weight coefficient , the third weight coefficient and the initial device status index It is a preset value, obtained based on experience, corresponding to the total number of days the medical equipment has been used since it was put into use until today. It is obtained based on operating data and is a prior art, so it will not be described in detail here.

[0060] As an embodiment of the present invention, the command response index of the corresponding medical device is expressed by the formula get;

[0061] in, The number of clicks on the start task button of the corresponding medical device on the nth day among N days is randomly selected; The number of people tested for the corresponding medical device on the nth day among N days is randomly selected; The preset error ratio is the ratio of the number of clicks on the task start button of the corresponding medical device to the number of inspections of the corresponding medical device;

[0062] Through the above technical solution, this embodiment The actual ratio of the number of clicks on the corresponding medical device task start button on the nth day among N days randomly selected to the number of people tested on the corresponding medical device; The ratio difference between the actual ratio of the number of clicks on the corresponding medical device task start button to the number of inspections of the corresponding medical device on the nth day among N days randomly selected and the standard ratio of the number of clicks on the corresponding medical device task start button to the number of inspections of the corresponding medical device, which is 1; The difference between the absolute value of the ratio of the actual ratio of the number of clicks on the corresponding medical device start task button to the number of tests of the corresponding medical device on the nth day randomly selected from N days and the standard state ratio of the number of clicks on the corresponding medical device start task button to the number of tests of the corresponding medical device 1 and the preset error ratio of the ratio of the number of clicks on the corresponding medical device start task button to the number of tests of the corresponding medical device; when , it indicates that the absolute value of the difference between the actual ratio of the number of clicks on the corresponding medical device start task button to the number of inspections of the corresponding medical device on the nth day randomly selected from N days and the standard state ratio of the number of clicks on the corresponding medical device start task button to the number of inspections of the corresponding medical device, 1, exceeds the preset error ratio of the ratio of the number of clicks on the corresponding medical device start task button to the number of inspections of the corresponding medical device; The average difference between the absolute value of the difference between the actual ratio of the number of clicks on the corresponding medical device start task button to the number of inspections of the corresponding medical device for N days randomly selected and the ratio of the number of clicks on the corresponding medical device start task button to the number of inspections of the corresponding medical device under the standard state and the preset error ratio of the number of clicks on the corresponding medical device start task button to the number of inspections of the corresponding medical device; the ratio of the standard state of the number of inspections of the corresponding medical device is 1; when the average difference The larger the value, the worse the condition of the corresponding medical device. The bigger;

[0063] It should be noted that the preset error ratio of the number of clicks on the task start button of the corresponding medical device to the number of detections of the corresponding medical device is It is a preset value, obtained based on experience, and will not be described in detail here.

[0064] As an implementation mode of the present invention, the working process of the comprehensive statistics module includes:

[0065] S10: Read the electronic tags on the medical devices in the detection area through the tag reading module to obtain the tag information of the electronic tags, including the device name, device specifications and device status index;

[0066] S20: Count the number of various types of medical equipment;

[0067] S30: Analyze the device status index and quantity of the same medical devices according to preset rules to obtain a comprehensive status rating;

[0068] Through the above technical solution, this embodiment reads the electronic tags on the medical equipment in the detection area through the tag reading module to obtain the label information device name, device specifications and device status index of the electronic tags; then count the number of various types of medical equipment; the medical equipment with the same device name and device specifications are the same type of medical equipment; the method for counting the number of the same type of medical equipment is a prior art and will not be described in detail here. Finally, the device status index and quantity of the same type of medical equipment are analyzed according to preset rules to obtain a comprehensive status rating; better help staff understand the status of various types of medical equipment, and facilitate the later purchase of medical equipment according to the status of various types of medical equipment.

[0069] As an implementation mode of the present invention, the preset rules include:

[0070] By formula Calculate the comprehensive status index of the same medical device ;

[0071] in, is the number of medical devices of the same type, Serial number of the same medical device; It is the first medical device of its kind Equipment status index of each medical device; is the adjustment coefficient;

[0072] Through the above technical solution, this embodiment for The average device status index of the same medical devices; The larger the average equipment status index of the same medical equipment, the greater the comprehensive status index. The larger it is, the worse the overall status of the same medical device;

[0073] It should be noted that the adjustment coefficient It is a preset value, obtained based on experience, and will not be described in detail here.

[0074] As an implementation manner of the present invention, the preset rules further include:

[0075] The comprehensive status index With preset threshold For comparison,

[0076] when When the comprehensive status is rated as level one;

[0077] when When the comprehensive status is rated as Level 2;

[0078] when , the comprehensive status rating is level three;

[0079] Through the above technical solution, this embodiment When the equipment is in good condition, it indicates that the equipment is in good condition; the comprehensive status rating is level one; when When , it indicates that the equipment status of the same type of medical equipment is average; it means that some parts need to be repaired, and the comprehensive status rating is level 2; when , the comprehensive status rating is level three; it means that the same medical equipment needs to be repaired and replaced, reminding the logistics staff to purchase the same medical equipment as soon as possible;

[0080] It should be noted that the preset threshold It is a preset value, obtained based on experience, and will not be described in detail here.

[0081] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A digital hospital logistics equipment supervision system, including multiple medical devices and label reading terminals, characterized in that: The system further comprises: A label generation module is used to generate a unique electronic label for each medical device; A plurality of equipment monitoring modules, corresponding one to one with the medical equipment, the equipment monitoring modules are respectively arranged on the corresponding medical equipment, and are used to monitor the operation status of the corresponding medical equipment, and obtain and save the operation data of the corresponding medical equipment; A plurality of medical data statistics modules, corresponding one to one with the medical devices, the medical data statistics modules are respectively arranged on the corresponding medical devices, and are used to count the medical data of the corresponding medical devices; A plurality of analysis modules, corresponding to each medical device, are respectively arranged on the corresponding medical devices, and are connected to the device monitoring module and the medical data statistics module on the corresponding medical devices; and are used to analyze the operation data and medical data of the corresponding medical devices to obtain the device status index of the corresponding medical devices; A tag reading module, which is arranged at a tag reading terminal and is used to read the electronic tag on the medical device in the detection area and obtain the tag information of the electronic tag, wherein the tag information includes the device name, device specification and device status index; A comprehensive statistics module is set in the tag reading terminal to analyze the device name, device specification and device status index of each medical device in the detection area to obtain a comprehensive status rating of the same medical device in the detection area; The operation data includes the daily working hours of the corresponding medical device and the daily click count of the start task button on the corresponding medical device; The medical data includes the number of people tested by the corresponding medical equipment every day; The analysis process of the analysis module is as follows: S1: Randomly select within the past preset time period N Day, through N The number of clicks on the task start button on the corresponding medical device and the number of people tested on the corresponding medical device are analyzed to obtain the command response index of the corresponding medical device; S2: Obtain the device status index by analyzing the command response index of the corresponding medical device and the daily working hours of the corresponding medical device; The device status index is expressed by the formula get; in, is the equipment status index; The total number of days the medical equipment has been in use since it was put into use. ; For medical equipment use Length of work per day; The standard working hours of a day for corresponding medical equipment; The estimated cumulative life span of the corresponding medical device; is the command response index of the corresponding medical device; is the first weight coefficient; is the second weight coefficient; is the third weight coefficient; is the judgment function, when hour, ;when hour, ; is the initial device status index; The command response index of the corresponding medical device is calculated by the formula get; in, For random selection N Tianzhongdi n Number of clicks on the corresponding medical device start task button per day; For random selection N Tianzhongdi n Number of people testing corresponding medical equipment per day; It is the preset error ratio of the number of clicks on the task start button of the corresponding medical device to the number of inspections of the corresponding medical device.

2. A digital hospital logistics equipment supervision system according to claim 1, characterized in that: The working process of the comprehensive statistics module includes: S10: Read the electronic tags on the medical devices in the detection area through the tag reading module to obtain the tag information of the electronic tags, including the device name, device specifications and device status index; S20: Count the number of various types of medical equipment; S30: Analyze the device status index and quantity of the same medical devices according to preset rules to obtain a comprehensive status rating.

3. A digital hospital logistics equipment supervision system according to claim 2, characterized in that: The preset rules include: By formula Calculate the comprehensive status index of the same medical device ; in, is the number of medical devices of the same type, Serial number of the same medical device; It is the first medical device of its kind Equipment status index of each medical device; is the adjustment coefficient.

4. A digital hospital logistics equipment supervision system according to claim 3, characterized in that: The preset rules also include: The comprehensive status index With preset threshold For comparison, when When the comprehensive status is rated as level one; when When the comprehensive status is rated as Level 2; when , the comprehensive status rating is level three.

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