CN-122020768-A - ICU hand hygiene facility layout parameter optimization method based on simulation data

CN122020768ACN 122020768 ACN122020768 ACN 122020768ACN-122020768-A

Abstract

The invention relates to the technical field of medical building design and hospital infection control, and particularly discloses an ICU hand hygiene facility layout optimization method based on simulation results. The method comprises the steps of collecting ICU building space data and medical personnel behavior data, constructing a medical technology simulation model to simulate the dynamic activity and hand hygiene behavior of medical personnel, deducing and outputting a flow density thermodynamic diagram and a hand washing facility using frequency diagram through simulation, analyzing simulation results to identify a layout bottleneck area and points to be optimized, generating an optimized layout scheme, including adding, adjusting or canceling the hand washing facility points, and finally verifying the optimized effect through simulation. The invention solves the problems of experience dependence and lack of data support of the traditional layout method, can prospectively optimize the layout of ICU hand hygiene facilities, remarkably improves the hand hygiene compliance of medical staff, effectively reduces the risk of hospital infection, simultaneously avoids the waste of disassembly and modification after construction, and has important clinical application value.

Inventors

WANG YU
Gan Qiuying
YANG YUANLIN
GAN RONGHUA
CAO JIAN
WAN QIAN
PENG GUOQING

Assignees

华蓝设计（集团）有限公司

Dates

Publication Date: 20260512
Application Date: 20251202

Claims (10)

1. An ICU hand hygiene facility layout parameter optimization method based on simulation data, wherein the method is performed by a computer device and comprises the steps of: s1, acquiring building space coordinate data of a target ICU and historical behavior data of medical staff; S2, a model construction step, namely constructing a discrete event simulation model of the ICU based on the data acquired in the S1, and configuring an intelligent agent representing medical staff and hand hygiene behavior triggering logic thereof in the model; S3, a simulation deduction step, namely executing the simulation model and outputting a simulation result comprising space personnel density distribution data and hand washing facility use frequency data; s4, defect identification, namely calculating layout defect area coordinates of the hand hygiene facility based on comparison analysis of the simulation result and a preset threshold value; s5, parameter optimizing, namely automatically generating an updated hand hygiene facility coordinate set by using a preset optimizing rule based on the layout defect region coordinates, wherein the updating comprises adding, deleting or shifting the facility coordinate points; and S6, performing iterative verification, namely feeding the updated hand hygiene facility coordinate set back to the simulation model for running again until a simulation result meets a preset verification index, and outputting final facility layout coordinate parameters.
2. The method for optimizing ICU hand hygiene facility layout parameters based on simulation data according to claim 1, wherein in the step S1, the building space coordinate data comprises plane geometry data of the ICU, bed coordinate points and existing hand washing facility coordinate points, and the historical behavior data of medical staff comprises a nursing path node sequence, residence time distribution in each functional area and a functional interval round trip frequency matrix.
3. The method for optimizing ICU hand hygiene facility layout parameters based on simulation data according to claim 1, wherein in S2, the hand hygiene behavior trigger logic is a condition judgment rule; The condition judgment rule is configured to trigger the agent to find and move to a task instruction of a nearest available hand washing facility node when the state of the agent is changed to be before contacting a patient, before performing a sterile operation, after contacting a body fluid of the patient, after contacting the patient or after contacting the surrounding environment of the patient.
4. The method for optimizing ICU hand hygiene layout parameters based on simulation data according to claim 1, wherein S4 specifically comprises: S41, analyzing the space personnel density distribution data, and marking the area coordinates with the personnel density value exceeding a first preset threshold value as a high-demand potential area; S42, analyzing the movement track data of the intelligent body, and marking the path nodes which pass frequency is higher than a second preset threshold value and have no hand washing facilities within a preset radius as streamline missing points; S43, comparing the frequency data of the use of each hand washing facility, and marking the hand washing facilities with the frequency lower than the third preset threshold value or higher than the fourth preset threshold value as facilities to be adjusted.
5. The method for optimizing ICU hand hygiene layout parameters based on simulation data according to claim 1, wherein in S5, the preset optimization rule comprises: A coverage rule is that coordinate points of hand washing facilities are newly added in the coordinate ranges of the layout defect area and the high-demand potential area; and (3) calculating the linear distance from any bed coordinate in the ICU to the nearest hand washing facility coordinate, and ensuring that the stored facility coordinate set enables the linear distance to be smaller than or equal to a preset convenient distance threshold value.
6. The method for optimizing ICU hand hygiene layout parameters based on simulation data according to claim 5, wherein the convenience distance threshold is set to 3.5 meters.
7. The method for optimizing ICU hand hygiene layout parameters based on simulation data according to claim 1, wherein in S5, the preset optimization rules further include a line-of-sight analysis rule: And establishing a view field model based on the obstacle data in the ICU, and limiting the coordinate point of the hand washing facility to be within the coverage range of the view field of the main travel path of the medical staff.
8. The method for optimizing ICU hand hygiene layout parameters based on simulation data according to claim 1, wherein in S6, the preset verification index comprises: the balance index is whether the standard deviation of the frequency of use of each hand washing facility after optimization is smaller than a preset balance threshold value; and coverage index, namely whether the high-density area in the space personnel density distribution data is covered by the updated service range of the hand washing facility.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any one of claims 1 to 8 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 8.

Description

ICU hand hygiene facility layout parameter optimization method based on simulation data Technical Field The invention relates to the technical fields of Computer Aided Design (CAD), medical informatization and building simulation, in particular to an ICU hand hygiene facility layout parameter optimization method based on simulation data, which combines discrete event simulation technology and hospital infection control specification to quantitatively analyze and optimize the interior of medical building facilities. Background Intensive Care Units (ICU) are a central site for hospital recovery of critical patients and are areas of high incidence of nosocomial infections (HAI) Associated Infection. Studies have shown that hand hygiene is the simplest, most effective and economical measure to prevent and control nosocomial infections. However, in actual clinical practice, hand hygiene compliance of healthcare workers is often significantly affected by the physical environment. Accessibility (Accessibility), distribution density and position convenience of hand hygiene facilities (such as hand sink, hand sanitizer dispenser) directly determine whether medical personnel can smoothly perform hand hygiene operations in an emergency high-pressure workflow. Currently, in the early planning and design stage of ICU construction, the layout of hand hygiene facilities mainly depends on the following two traditional modes: 1. The static design based on the specification mainly conforms to the architectural design standards issued by the country or industry (such as the integrated hospital architectural design specification) and meets the number requirement of '1 hand sink is configured for every X beds'. The method ensures the existence and the cardinality of facilities, but only belongs to static quota design, and cannot reflect complex dynamic streamline of medical staff in actual work. 2. Experience-based subjective design-point placement relies on the personal experience of a building designer or medical consultant. Because designers often lack the work experience of clinical first-line, are difficult to accurately judge the moving path and the stay rule of medical personnel under specific scenes such as rescue, nursing, aseptic technique, lead to the hand washing facility to be often set up in keeping away from nursing core area, sight blind area or line conflict point, cause the idle and the absent concurrent phenomenon of urgent need regional facility of facility. The main drawbacks of the prior art are: The dynamic quantitative analysis is lacking, the traditional design is static planning on a two-dimensional plane drawing, and the space-time distribution rule of a plurality of medical staff in high-density scenes such as cross operation, emergency rescue and the like can not be simulated after the ICU is put into use. Is disjoint from sensing control logic, that is, the existing layout method fails to convert the infection control logic into the computable space parameters, so that a data gap exists between the medical procedure and the building space. The prior optimization is usually performed after ICU is built and used and a sensing control leak is found (such as adding a hand sink and reconstructing a waterway), which not only causes huge economic loss, but also can interfere with normal medical order. Although the computer simulation technology has been applied in the fields of traffic planning, fire evacuation and the like, in the field of medical building micro-layout, in particular to the aspect of fine layout optimization for 'coupling hand hygiene facilities with nursing behaviors', a technical scheme which can be driven based on objective data, combined with clinical behavior logic and can perform automatic parameter optimization and verification is still lacking. Therefore, a method capable of simulating a real medical scene, quantitatively evaluating the use efficiency of facilities, and automatically generating optimal layout parameters is needed to realize scientificalness and precision of ICU space design. Disclosure of Invention The invention aims to solve the following technical problems in the layout design of the existing ICU hand hygiene facility: Depending on subjective experience and static specifications of designers, quantitative data support for dynamic behaviors and space-time distribution of medical staff is lacking, and therefore the layout is disjointed from actual use requirements. Failure to effectively translate clinical infection control logic (e.g., five moments of hand hygiene) into spatial parameters of architectural design results in missing or poor accessibility of high risk area facilities. The lack of a prospective verification mechanism often results in the discovery of layout defects after the build-up is put into use, resulting in high cost for secondary reconstruction and medical resource waste. The solution is as follows: an ICU hand hygiene facility layout paramet