CN116597970B - Medical equipment distribution method and computing device thereof - Google Patents
Medical equipment distribution method and computing device thereof Download PDFInfo
- Publication number
- CN116597970B CN116597970B CN202310870788.0A CN202310870788A CN116597970B CN 116597970 B CN116597970 B CN 116597970B CN 202310870788 A CN202310870788 A CN 202310870788A CN 116597970 B CN116597970 B CN 116597970B
- Authority
- CN
- China
- Prior art keywords
- medical equipment
- target medical
- working
- period
- working time
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000012546 transfer Methods 0.000 claims abstract description 24
- 230000004927 fusion Effects 0.000 claims description 21
- 230000007704 transition Effects 0.000 claims description 3
- 238000013468 resource allocation Methods 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 9
- 230000006872 improvement Effects 0.000 description 5
- 210000002458 fetal heart Anatomy 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 230000003203 everyday effect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 241001643392 Cyclea Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000021615 conjugation Effects 0.000 description 1
- 230000002354 daily effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000000554 physical therapy Methods 0.000 description 1
- 230000000246 remedial effect Effects 0.000 description 1
- 238000009211 ultrasonic lithotripsy Methods 0.000 description 1
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
- 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
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Development Economics (AREA)
- Medical Informatics (AREA)
- Educational Administration (AREA)
- Epidemiology (AREA)
- Game Theory and Decision Science (AREA)
- Biomedical Technology (AREA)
- Public Health (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention relates to the field of medical resource allocation, in particular to a medical equipment allocation method and a computing device thereof, wherein the medical equipment allocation method comprises the following steps: acquiring the use priority of the rest area and each use area on the target medical equipment; dividing a set time range of each use area by taking the working period of the target medical equipment as a minimum unit, and counting the working time of the target medical equipment in each working period; acquiring transfer priority of the target medical equipment at each position and each working period; comparing the transfer priority of each position in the appointed working period with the use priority of the corresponding position, and if the transfer priority is larger than the use priority, adding target medical equipment for the position in the working period. The invention solves the problem that the waiting time of patients is longer due to the fact that the allocation amount of medical equipment in each using area is not consistent with the actual demand amount.
Description
Technical Field
The invention relates to a medical equipment distribution method and a computing device thereof.
Background
Medical equipment such as an ultrasonic lithotripsy system, a cavity lens imaging system, CT and the like are not very expensive, various types of medical equipment are produced, and the medical equipment is difficult to objectively and efficiently allocate only by relying on limited manual experience, so that the medical equipment is unreasonably allocated. For example, a part of departments or wards may be equipped with fewer medical devices and the patient may wait longer.
In order to allocate medical equipment, the invention patent application with the application publication number of CN115472278A discloses an intelligent allocation method, system, equipment and medium for multi-hospital fusion medical equipment, wherein the allocation method is to order after receiving information for increasing equipment requirements, then send allocation instructions, and then allocate the equipment.
The medical equipment can be allocated in the mode of the prior art, but the opportunity of allocating the medical equipment is the situation that the medical equipment is lost in a department or a ward, and belongs to remedial measures after the occurrence of an event. If the medical equipment can be reasonably equipped in advance, the situation of missing the medical equipment can be avoided.
At present, when judging whether medical equipment is absent in a using area such as a department or a ward, the judgment is usually carried out only through conventional indexes such as people flow, but because the requirements of different departments or ward on the same medical equipment are different, the equipment quantity is inconsistent with the actual requirement, and the reasonable equipment requirement of the medical equipment cannot be met, so that the waiting time of patients is longer due to the fact that part of departments or ward lacks the medical equipment.
Disclosure of Invention
The invention provides a medical equipment distribution method, which aims to solve the technical problem that the waiting time of patients is long due to the fact that the allocation amount of medical equipment in each use area is inconsistent with the actual demand in the prior art; the invention also provides a computing device for solving the technical problems.
In a first aspect of embodiments of the present invention, there is provided a medical device allocation method comprising the steps of:
acquiring the use priority of the rest area and each use area on the target medical equipment: counting working time periods of the target medical equipment in each position in a set time range, summing the working time periods of the same position to obtain working time periods of the corresponding positions in the set time range, normalizing the working time periods of the positions to obtain the probability of the target medical equipment in each position, and representing the use priority of the target medical equipment in each position by using the probability, wherein each position comprises a rest area and each use area;
dividing the set time range of each use area by taking the working period of the target medical equipment as the minimum unit, and counting the working time of the target medical equipment in each working periodWherein->Indicating an operating time period of the target medical device at an ith position except the rest area at a kth operating period;
obtaining the transfer priority of the target medical equipment at each position and each working period, wherein the transfer priority meets the following relation:
wherein,,representing a transition priority of an ith location other than the rest area of the target medical device at a kth duty cycle; />Indicating an operating time period of the target medical device at an ith position except the rest area at a kth operating period; />Representing the distance between the location i and the location j where the target medical device is currently located, N representing the total number of locations, wherein i does not include a rest area and j includes a rest area;
comparing the transfer priority of each position in the appointed working period with the use priority of the corresponding position, and if the transfer priority is larger than the use priority, adding target medical equipment for the position in the working period.
The beneficial effects are that: if the transfer priority of the designated position in the designated work period is greater than the use priority, the position is indicated that the requirement of the position on the target medical equipment in the work period exceeds the average requirement, and the target medical equipment needs to be added; otherwise, it is considered that the target medical device does not need to be specially equipped. According to the invention, whether the target medical equipment is required to be equipped at each position in each working period is judged by comparing the priority with the transfer priority, so that staff is guided to allocate the target medical equipment in advance, and the situations that the target medical equipment is idle and the target medical equipment is not used enough are avoided.
As a further improvement, if the transfer priority is not greater than the use priority, the number of target medical devices that remain in that position during this duty cycle is unchanged.
As a further improvement, counting the time length of one use of the target medical equipment from the start of work to the completion of work for a plurality of times, summing the counted time lengths of each use, and dividing the summed time lengths by the counted times to obtain the work cycle of the target medical equipment.
As a further improvement, the working period is a fusion working period; and when the fusion working time periods are counted, counting the working time periods of the target medical equipment in each position in a plurality of set time ranges, and carrying out superposition fusion on the working time periods in each set time range, so as to obtain the fusion working time periods.
As a further improvement, when overlapping and fusing the working time periods in each set time range, if no intersection exists between any working time period and the working time periods in other set time ranges, dividing the working time period by the number of the set time ranges to obtain the fused working time period.
As a further improvement, when the usage priority of the rest area and each usage area to the target medical device is obtained, a union of the usage area operation time periods is calculated as a target operation time period, then an intersection operation time period of the target operation time period and the operation time period of the rest area is calculated, and the operation time period excluding the intersection operation time period is the real operation time period of the rest area.
In a second aspect of embodiments of the present invention, there is provided a computing device comprising:
a processor configured to execute program instructions;
a memory configured to store the program instructions, which when loaded and executed by the processor, cause the processor to perform the medical device allocation method according to any one of the first aspects of the embodiments of the present invention.
Drawings
The above, as well as additional purposes, features, and advantages of exemplary embodiments of the present invention will become readily apparent from the following detailed description when read in conjunction with the accompanying drawings. In the drawings, embodiments of the invention are illustrated by way of example and not by way of limitation, and like reference numerals refer to similar or corresponding parts and in which:
FIG. 1 is a flow chart of a medical device assignment method according to an embodiment of the present invention;
fig. 2 is a schematic diagram of the ward 1 when the working time periods of the first day and the second day are fused;
fig. 3 is a schematic diagram of the operating time periods in which the target medical device is present in the rest area, ward 1, ward 2;
fig. 4 schematically shows a schematic block diagram of a computing device 1000 according to an embodiment of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made more complete and clear to those skilled in the art by reference to the figures of the embodiments of the present invention. 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.
The principles and spirit of the present invention are explained in detail below with reference to several representative embodiments thereof.
The embodiment of the medical equipment distribution method provided by the invention comprises the following steps:
as shown in fig. 1 to 3, the purpose of the medical equipment allocation method is to reasonably allocate the number of medical equipment in each use area in a set working period, so as to avoid the situation that the waiting time of a patient is too long due to the lack of the medical equipment.
The medical device allocation method comprises the following steps:
s1, acquiring the use priority of each position on the target medical equipment.
Wherein each location includes a lay-up area and at least two use areas, wherein the lay-up area includes a nurse station and a medical instrument library, and the use areas include a ward and a department.
The residence time of the target medical device at each location is counted in days. Taking a rest area and two wards (a ward 1 and a ward 2) as an example, counting the working time periods of the target medical equipment in the rest area, the ward 1 and the ward 2 every day to form a time period diagram, and carrying out fusion calculation on the time period diagram of the designated position every day in one month to obtain the time period diagram of the target medical equipment in the designated position in one month.
Fig. 2 is a diagram of time periods of the first day and the second day of the ward 1, wherein the straight line represents time, and the area where the dotted line is located represents the working time period where the target medical device stays. As can be seen from fig. 2, the target medical device stays in the patient room 1 for a plurality of scattered operating periods. The working time periods of the target medical devices on the first day and the second day in the ward 1 are partially overlapped, so that the working time periods on the first day and the second day need to be overlapped and fused, and a new fusion working time period is obtained.
When fusing, if the working period appearing on the first day and the working period appearing on the second day do not coincide, the working period is divided by 2 during fusing, and the coordinates are unchanged, for example, the working period 3 in fig. 2 becomes a fused working period C after fusing, and the working period D becomes a fused working period D after fusing.
If the working time period appearing on the first day is completely overlapped with the working time period appearing on the second day, the fused working time period after fusion is unchanged.
If the working time period appearing on the first day is partially overlapped with the working time period appearing on the second day, summing the overlapped parts, dividing the overlapped parts by 2 to obtain the length of the average time period, simultaneously calculating the average coordinates of the central points of the two working time periods, and finally obtaining the average coordinates as a new fusion central point; and simultaneously, the lengths of the non-overlapped parts are added on two sides of the length of the average time period evenly, so that the fusion working time period is obtained. For example, the working period 1 and the working period a in fig. 2 are partially overlapped, and the two are fused to obtain a fused working period a, wherein the coordinate of the center point of the fused working period a is located at the left side of the working period a; and the working time period 2, the working time period B and the working time period c are fused to obtain a fused working time period B.
The working time periods of ward 1, ward 2 and rest area for one month are all fused to obtain the time period diagram of fig. 3. On this basis, the union of the fusion working periods of the ward 1 and the ward 2 is calculated as the target working period first, and then the intersection period of the fusion working period of the target working period and the rest area is calculated. For fusion operational time periods of the staging area, the time excluding these intersection time periods may be considered as non-operational time of the target medical device, i.e., fusion operational time periods that truly belong to the staging area.
The lengths of fusion working time periods of the target medical equipment at all positions are respectively counted, for example, the lengths of fusion working time periods of a ward 1, a ward 2 and a rest area are respectively counted, the lengths of the fusion working time periods are normalized to be used as the probability of the target medical equipment at all positions, the probability is used for representing the use priority of the target medical equipment at all positions, and the larger the probability is, the larger the priority is.
In order to count the working time periods of the target medical equipment in the shelving areas and the using areas, positioning labels can be installed on the target medical equipment, and gridded positioning beacons are arranged, so that the positioning labels receive position signals of the positioning beacons, position information of the target medical equipment is obtained, and meanwhile residence time of the target medical equipment in each position is obtained.
Of course, in order to obtain the position information of the target medical device and the residence time of each position, conventional manual statistics may be adopted, or two-dimensional codes may be set on the target medical device, and a code scanner may be set at each position to read the position of the target medical device.
S2, counting the working period of the target medical equipment, taking one month as an example, counting the time of each time of using the target medical equipment from starting to finishing in one month, for example, the detection time of each time of a fetal heart instrument used in fetal heart monitoring is generally 20 minutes, the detection time of an ultrasonic physiotherapy instrument is generally 15-30 minutes, summing the counted time of using and dividing the counted time by the counted times, and taking the obtained value as the working period of the target medical equipment.
Dividing the time of the whole day by taking the working period as the minimum unit, and obtaining the working time of each position in each working period，/>Indicating the length of time the target medical device is operating at the ith location during the kth cycle.
S3, acquiring the transfer priority of the target medical equipment at each position and each working period.
After the usage priorities of the target medical devices at the respective positions are acquired, the usage priorities are used as usage priority thresholds at the corresponding positions. And taking the working period of the target medical equipment as a basic unit time length, and counting the transfer priority of the target medical equipment at each position in each working period.
Specifically, the position of the target medical device in the previous working period is obtained, and the position of the target medical device in the next working period is judged to be the most suitable position, wherein the position factors and the working time of each position in the next working period are considered. The transfer priority satisfies the following relationship:
wherein,,indicating that the target medical device is at the kth duty cycleA transition priority of the ith position other than the rest area; />Indicating the working time length of the target medical equipment at the ith position in the kth working period, wherein the working time length is obtained by S2; />Representing the distance between location i and the location j where the target medical device is currently located, N representing the total number of locations, where i does not include a rest area and j includes a rest area.
When the target medical equipment is at any position and in any working period, the transfer priority of the target medical equipment at each position in the next working period can be obtained through calculation of the relational expression.
S4, the use priority of each position on the target medical equipment is obtained through S1, and the transfer priority of the target medical equipment at each position and each working period can be obtained through S3.
Comparing the transfer priority at each location with the corresponding use priority, and if the transfer priority is greater than the use priority, indicating that the demand of the location for the target medical device exceeds the overall average demand thereof in the current working period, the target medical device should be added for the location in the working period. If the transfer priority is not greater than the use priority, the requirement of the position on the target medical equipment in the working period is lower than the overall average requirement of the position, and the target medical equipment does not need to be specially provided for the position and is required to be placed in a rest area.
If the transfer priorities of the plurality of positions are all larger than the corresponding use priorities, the hospital needs to purchase the target medical equipment additionally to meet the requirement of daily operation.
In this embodiment, the duty cycle of the target medical device is an average of the length of time the target medical device is used once from the start of the work to the completion of the work within one month. In fact, for some medical devices, such as fetal heart apparatus, the duty cycle is actually a constant value, and for such medical devices, it is not necessary to perform an averaging to obtain the duty cycle. In other embodiments, the working period of the target medical device may be counted in a period of one week or two months.
In other embodiments, the statistical period may be one or two months or other set time ranges when the statistical target medical device is present at each location.
Embodiments of the computing device of the present invention:
fig. 4 schematically shows a schematic block diagram of a computing device 1000 according to an embodiment of the invention. As shown in fig. 4, computing device 1000 may include a processor 1001 and a memory 1002. In which a memory 1002 stores computer instructions for performing a medical device allocation method according to an embodiment of the invention, which when executed by a processor 1001, cause the device 1000 to perform the method described hereinbefore.
Use of the verb "comprise," "include" and its conjugations in this application does not exclude the presence of elements or steps other than those stated in the application. The article "a" or "an" preceding an element does not exclude the presence of a plurality of such elements.
While the spirit and principles of the present invention have been described with reference to several particular embodiments, it is to be understood that the invention is not limited to the disclosed embodiments nor does it imply that features of the various aspects are not useful in combination, nor are they useful in any combination, such as for convenience of description. The invention is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims. The scope of the following claims is to be accorded the broadest interpretation so as to encompass all such modifications and equivalent structures and functions.
Claims (3)
1. A method of dispensing a medical device,
the method is characterized by comprising the following steps of:
acquiring the use priority of the rest area and each use area on the target medical equipment: counting working time periods of the target medical equipment in each position in a set time range, summing the working time periods of the same position to obtain working time periods of the corresponding positions in the set time range, normalizing the working time periods of the positions to obtain the probability of the target medical equipment in each position, and representing the use priority of the target medical equipment in each position by using the probability, wherein each position comprises a rest area and each use area;
counting the once-used time length of the target medical equipment from the beginning of work to the completion of work for a plurality of times, summing the counted time length of each use, and dividing the summed time length of each use by the counted times to obtain the working period of the target medical equipment;
dividing the set time range of each use area by taking the working period of the target medical equipment as the minimum unit, and counting the working time t of the target medical equipment in each working period ik Wherein t is ik Indicating an operating time period of the target medical device at an ith position except the rest area at a kth operating period;
obtaining the transfer priority of the target medical equipment at each position and each working period, wherein the transfer priority meets the following relation:
wherein S is ik Representing a transition priority of an ith location other than the rest area of the target medical device at a kth duty cycle; t is t ik Indicating an operating time period of the target medical device at an ith position except the rest area at a kth operating period;representing the distance between the location i and the location j where the target medical device is currently located, N representing the total number of locations, wherein i does not include a rest area and j includes a rest area;
comparing the transfer priority of each position in a designated working period with the use priority of the corresponding position, and if the transfer priority is greater than the use priority, adding target medical equipment for the position in the working period;
the working time period is a fusion working time period; when the fusion working time periods are counted, counting the working time periods of the target medical equipment in each position in a plurality of set time ranges, and carrying out superposition fusion on the working time periods in each set time range so as to acquire the fusion working time periods;
when overlapping and fusing the working time periods in each set time range, if any working time period does not have intersection with the working time periods in other set time ranges, dividing the working time period by the number of the set time ranges to obtain the fused working time period;
when the utilization priority of the rest area and each utilization area to the target medical equipment is obtained, calculating a union of all utilization area working time periods as a target working time period, and then calculating an intersection working time period of the target working time period and the working time period of the rest area, wherein the working time period of the rest area except the intersection working time period is the real working time period of the rest area.
2. The medical device allocation method according to claim 1, wherein if the transfer priority is not greater than the use priority, the number of target medical devices to be kept at that position is unchanged during the duty cycle.
3. A computing device, comprising:
a processor configured to execute program instructions;
a memory configured to store the program instructions, which when loaded and executed by the processor, cause the processor to perform the medical device allocation method according to claim 1 or 2.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310870788.0A CN116597970B (en) | 2023-07-17 | 2023-07-17 | Medical equipment distribution method and computing device thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310870788.0A CN116597970B (en) | 2023-07-17 | 2023-07-17 | Medical equipment distribution method and computing device thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116597970A CN116597970A (en) | 2023-08-15 |
| CN116597970B true CN116597970B (en) | 2023-10-10 |
Family
ID=87604846
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310870788.0A Active CN116597970B (en) | 2023-07-17 | 2023-07-17 | Medical equipment distribution method and computing device thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116597970B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2010102069A2 (en) * | 2009-03-04 | 2010-09-10 | Masimo Corporation | Medical monitoring system |
| US10142255B1 (en) * | 2016-09-08 | 2018-11-27 | Amazon Technologies, Inc. | Allocating dynamic resources to service clusters |
| CN110556180A (en) * | 2018-05-31 | 2019-12-10 | 北京绪水互联科技有限公司 | medical equipment benefit analysis method and system, server for medical equipment benefit analysis and electronic device |
| CN111223561A (en) * | 2020-01-13 | 2020-06-02 | 南京巨鲨显示科技有限公司 | Medical image equipment sharing method and system based on quadratic exponential smoothing method |
| CN114664426A (en) * | 2018-02-12 | 2022-06-24 | 北京绪水互联科技有限公司 | Analysis method for work schedule of medical equipment |
| CN115064253A (en) * | 2022-08-16 | 2022-09-16 | 南京天溯自动化控制系统有限公司 | Medical equipment scheduling method, device, equipment and storage medium |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20200273562A1 (en) * | 2019-02-21 | 2020-08-27 | LPD2, Limited | Automated healthcare staffing system |
| US20220164912A1 (en) * | 2020-11-20 | 2022-05-26 | Lyft, Inc. | Dynamically adjusting a pool of transportation provider devices in a prioritized-dispatch mode using availability indicators |
-
2023
- 2023-07-17 CN CN202310870788.0A patent/CN116597970B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2010102069A2 (en) * | 2009-03-04 | 2010-09-10 | Masimo Corporation | Medical monitoring system |
| US10142255B1 (en) * | 2016-09-08 | 2018-11-27 | Amazon Technologies, Inc. | Allocating dynamic resources to service clusters |
| CN114664426A (en) * | 2018-02-12 | 2022-06-24 | 北京绪水互联科技有限公司 | Analysis method for work schedule of medical equipment |
| CN110556180A (en) * | 2018-05-31 | 2019-12-10 | 北京绪水互联科技有限公司 | medical equipment benefit analysis method and system, server for medical equipment benefit analysis and electronic device |
| CN111223561A (en) * | 2020-01-13 | 2020-06-02 | 南京巨鲨显示科技有限公司 | Medical image equipment sharing method and system based on quadratic exponential smoothing method |
| CN115064253A (en) * | 2022-08-16 | 2022-09-16 | 南京天溯自动化控制系统有限公司 | Medical equipment scheduling method, device, equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116597970A (en) | 2023-08-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Oh et al. | Use of a simulation-based decision support tool to improve emergency department throughput | |
| WO2019071991A1 (en) | Tumor patient radiotherapy process management and quality control method and system | |
| US20180150604A1 (en) | Method and System for Determining The Nursing Workload of Care Workers | |
| Pink et al. | Physicians in health care management: 3. Case Mix Groups and Resource Intensity Weights: an overview for physicians. | |
| CN107680240B (en) | Intelligent number-booking method for image examination of hospital patients | |
| Reeder et al. | The overcrowded emergency department: a comparison of staff perceptions | |
| CN111582525B (en) | Centralized automatic reservation system and method for clinical examination and inspection of hospital | |
| CN111128354A (en) | Intelligent reservation system based on clinical department and reservation method thereof | |
| CN103440421A (en) | Medical data processing method and system | |
| CN115331793B (en) | Operation information management system and method based on lean medical treatment | |
| CN115588495A (en) | Method and system for intelligently scheduling workload based on personnel in region | |
| CN118213057B (en) | Medical information intelligent management system based on cloud platform | |
| CN112530563A (en) | Method, device and system for determining medical resource allocation strategy | |
| Pardede et al. | Optimization of health care services with limited resources | |
| CN110264060B (en) | Prescription distribution method and system based on state of drug chef's examination party | |
| CN115472314A (en) | Internet remote diagnosis and treatment system and method based on AI medical treatment | |
| CN116597970B (en) | Medical equipment distribution method and computing device thereof | |
| Tan et al. | Simulation study of dreyer urgent care facility | |
| CN112735579A (en) | Rapid registration treatment system for emergency patients | |
| CN114244871B (en) | Intelligent hospital convenience service system and method thereof | |
| Klafehn | Impact points in patient flows through a radiology department provided through simulation | |
| Muller et al. | Financing fertility-related health services in the United States, 1972-1978: A preliminary projection | |
| CN110706819A (en) | Outpatient service analysis method, outpatient service analysis device, server and storage medium | |
| CN110289063B (en) | Community health institution service providing system based on leakage prevention principle and the like | |
| Bentley et al. | Developing an activity measuring system in district nursing |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |