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Intelligent decision-making and quality control system for continuous kidney replacement therapy

A control system, continuous technology, applied in the fields of treatment, healthcare informatics, medical practical experience/guidance, etc., can solve the problems of treatment contradictions, difficult for clinicians to choose, and no complete system for CRRT quality evaluation and control has been established. To achieve the effect of improving the ability and alleviating the shortage of doctors

Active Publication Date: 2021-12-03
ZHONGSHAN HOSPITAL FUDAN UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the choice of CRRT prescription usually faces several major problems: ① Existing CRRT prescriptions have various names and are prescribed by doctors from different departments in different regions based on their own experience, lacking evidence-based basis and uniform standards
Clinicians often struggle to choose as different CRRT prescribing modalities have variable efficacy and often therapeutic conflicts
For example, for AKI patients with multiple organ insufficiency, or significant enhancement of systemic metabolism due to factors such as infection and shock, or volume overload that requires continuous water removal, doctors may prefer to use long-term continuous CRRT, but the corresponding There are also many side effects, including loss of nutrients, large amount of heparin, coagulation disorder, repeated blood coagulation in the pipeline that cannot be truly "sustained", bleeding events that force the interruption of anticoagulation therapy, difficulty in regulating metabolism, limited patient activities, and high costs, etc.
②In the past, once the CRRT prescription was formulated, it was rarely changed after the treatment started. However, the condition of critically ill AKI patients is ever-changing, and the CRRT prescription often lags behind the condition needs
③ The application of CRRT in my country is developing rapidly, but a complete system of CRRT quality evaluation and control has not been established so far, nor has it been incorporated into a modern advanced evidence-based decision-making system based on machine learning
Although my country already has the "Standard Operating Procedures for Blood Purification" and "Guidelines for the Application of ICU Blood Purification", the content is mostly limited to structural indicators of hardware equipment and technical capabilities.

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  • Intelligent decision-making and quality control system for continuous kidney replacement therapy
  • Intelligent decision-making and quality control system for continuous kidney replacement therapy
  • Intelligent decision-making and quality control system for continuous kidney replacement therapy

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Embodiment Construction

[0048] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0049] In this example, machine learning algorithms such as Bayesian network and XGBoost are used to build a CRRT clinical decision-making model to effectively predict the core indicators (CRRT mode, time, dose, ultrafiltration rate and anticoagulation) in the CRRT process. Based on the prediction results, develop a CRRT evaluation and adjustment system centered on "MOVIE" (Metabolism, Organ, Volume, Inflammation, Embolism, ref...

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Abstract

The invention relates to an intelligent decision-making and quality control system for continuous renal replacement therapy, which is characterized by comprising a CRRT clinical decision-making model, an MOVIE index tracking unit and a CRRT prescription adjusting unit. According to the method, the specific characteristic variables influencing the CRRT are obtained, the CRRT clinical decision-making model is established by adopting the artificial intelligence algorithm based on the characteristic variables, and the CRRT clinical decision-making model outputs the initial CRRT treatment scheme which is adaptive to the patient based on the data of the patient and has the curative effect according to the historical data. Therefore, the problem that the formulation of the conventional CRRT treatment scheme depends on clinical experience of doctors is solved, and the problem that the conventional CRRT treatment scheme is unchanged in the whole treatment process, so that the treatment effect is affected is also solved. In addition, the practical situations of shortage of doctors, uneven diagnosis and treatment levels, lack of confidence in CRRT application and the like can be relieved, and the ability of managing critical AKI patients is improved.

Description

technical field [0001] The present invention relates to a system for generating a preliminary treatment plan for continuous renal replacement therapy (hereinafter referred to as CRRT) and optimizing and adjusting the treatment plan. Background technique [0002] Acute kidney injury (hereinafter referred to as AKI) is an important complication of hospitalized patients, and the incidence rate fluctuates between 30% and 40%. CRRT is an important means of treating critical AKI. In the past, critical AKI patients treated with CRRT not only had a mortality rate as high as 50% to 80%, but also the hospitalization expenses of the surviving patients and the treatment expenses for long-term development of chronic kidney disease brought a huge economic burden to the family and society. [0003] There are many CRRT prescription modes in clinical practice, including CVVH, CVVHD, CVVHDF, UF, etc., and the duration of "duration" varies from as short as 8 to 10 hours to as long as 1 to 2 we...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H20/00G16H70/20
CPCG16H20/00G16H70/20
Inventor 许佳瑞谢烨卿李阳沈波谢苏滕杰邹建洲丁小强
Owner ZHONGSHAN HOSPITAL FUDAN UNIV
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