System for updating medical facility

Abstract

A system (100A) for updating a medical facility comprises a computer, an interface (140) for a communication network (103), and a system memory (102). The computer includes a computer memory (151) storing instructions and a processor (152) executing the instructions. The system memory (102) receives and stores information obtained from the medical facility via the interface (140). Based on the processor (152) executing the instructions, the computer is configured to: retrieve information obtained from the medical facility from a system memory (102); applying an artificial intelligence model to information obtained from the medical facility to determine whether the medical facility is to be updated; and initiating at least one of maintenance or upgrade of the medical facility based on a determination that the medical facility is to be updated.

Description

Background Art

[0001] Intensive Care Unit (ICU) is an organizational structure that provides specialized medical care for critically ill patients. ICU can have various advanced equipment items for monitoring and supporting various forms of physiological organs to maintain the life of patients with serious or life-threatening diseases and injuries. ICU can provide care continuously from specially trained staff and expert teams. There are various categories of ICU for specialized functions and operational support. The advanced equipment included in the ICU can include vital sign equipment, such as heart monitors, suction machines, mechanical ventilators supporting breathing, syringe pumps regulating drug flow, oxygen support and other machines, such as BiPAP&CPAP for respiratory support, which track key signs. ICU is designed for critically ill and sensitive patients whose health status is fully monitored and supported by complex machines and equipment. Therefore, it is important to have a high degree of vigilance for the operational status of the equipment items in the ICU. It is also necessary to monitor the comprehensive status of the ICU and suggest appropriate upgrades based on needs and utility on a time-to-time basis. Summary of the invention

[0002] According to aspects of the present disclosure, a system for updating a medical facility includes a computer, an interface for a communication network, and a system memory. The computer includes a computer memory storing instructions and a processor that runs the instructions. The system memory receives and stores information obtained from a medical facility via an interface. Based on the processor running the instructions, the computer is configured to: retrieve information obtained from the medical facility from the system memory; apply an artificial intelligence model to the information obtained from the medical facility to determine whether to update the medical facility; and initiate at least one of maintenance or upgrade of the medical facility based on determining that the medical facility is to be updated.

[0003] According to another aspect of the present disclosure, a method for updating a medical facility includes: receiving and storing information obtained from the medical facility via an interface at a system memory; retrieving the information obtained from the medical facility from the system memory by a system computer, the system computer including a computer memory storing instructions and a processor running the instructions; applying an artificial intelligence model to the information obtained from the medical facility by the system computer to determine whether to update the medical facility; and initiating at least one of maintenance or upgrading of the medical facility by the system computer based on determining that the medical facility is to be updated.

[0004] According to another aspect of the present disclosure, a computer for updating a medical facility includes a computer memory storing instructions; and a processor executing the instructions. Based on the processor executing the instructions, the computer is configured to: retrieve information obtained from the medical facility from a system memory that receives and stores information obtained from the medical facility via an interface; apply an artificial intelligence model to the information obtained from the medical facility to determine whether to update the medical facility; and initiate at least one of maintenance or upgrade of the medical facility based on determining that the medical facility is to be updated. BRIEF DESCRIPTION OF THE DRAWINGS

[0005] The exemplary embodiments are best understood from the following detailed description when read in conjunction with the accompanying drawings. It is emphasized that the various features are not necessarily drawn to scale. In fact, the dimensions may be increased or decreased arbitrarily for clarity of discussion. Whenever applicable and practical, similar reference numerals refer to similar elements.

[0006] Figure 1A A system for updating a medical facility according to a representative embodiment is illustrated.

[0007] Figure 1B Another system for updating a medical facility according to a representative embodiment is illustrated.

[0008] Figure 2 An AI-based system for updating a medical facility is illustrated according to a representative embodiment.

[0009] Figure 3 A method for updating a system of a medical facility according to a representative embodiment is illustrated.

[0010] Figure 4A Another method for updating a system of a medical facility according to a representative embodiment is illustrated.

[0011] Figure 4B Another method for updating a system of a medical facility according to a representative embodiment is illustrated.

[0012] Figure 4C Another method for updating a system of a medical facility according to a representative embodiment is illustrated.

[0013] Figure 5 A computer system on which a method for updating a system of a medical facility is implemented is illustrated according to another representative embodiment. DETAILED DESCRIPTION

[0014] In the following specific embodiments, for the purpose of explanation rather than limitation, representative embodiments of the disclosure details are described to provide a thorough understanding of the embodiments according to the present teachings. However, other embodiments consistent with the present disclosure that are separated from the specific details disclosed herein are still within the scope of the appended claims. The description of known systems, equipment, materials, operating methods, and manufacturing methods can be omitted to avoid blurring the description of representative embodiments. Nevertheless, systems, equipment, materials, and methods within the knowledge of ordinary technicians in the field are also within the scope of the present teachings and can be used according to representative embodiments. It should be understood that the terms used herein are only used for the purpose of describing specific embodiments and are not intended to be limiting. The definitions and interpretations of the terms herein are supplements to the technical and scientific meanings of the terms as generally understood and accepted in the technical field of the present teachings.

[0015] It will be understood that although the terms first, second, third, etc. may be used herein to describe various elements or components, these elements or components should not be limited by these terms. These terms are only used to distinguish one element or component from another element or component. Therefore, without departing from the teachings of the present invention, the first element or component discussed below may be referred to as the second element or component.

[0016] As used in the specification and claims, the singular forms of the terms "a", "an", and "the" are intended to include both the singular and the plural forms, unless the context clearly dictates otherwise. In addition, when used in this specification, the terms "include", "comprises", and / or similar terms specify the presence of stated features, elements, and / or components, but do not exclude the presence or addition of one or more other features, elements, components, and / or groups thereof. As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items.

[0017] Unless otherwise indicated, when an element or component is referred to as being "connected to," "coupled to," or "adjacent to" another element or component, it will be understood that the element or component may be directly connected or coupled to the other element or component, or that there may be intervening elements or components. That is, these and similar terms cover situations where one or more intervening elements or components may be employed to connect two elements or components. However, when an element or component is referred to as being "directly connected" to another element or component, this only covers situations where two elements or components are connected to each other without any intervening or intermediary elements or components.

[0018] Thus, the present disclosure, through one or more of its various aspects, embodiments, and / or specific features or sub-components, is intended to present one or more of the advantages specifically pointed out below.

[0019] As described herein, medical facilities can be updated based on applying an artificial intelligence model to information obtained from the medical facility. Updates may include maintenance or upgrades, and may, for example, include selective maintenance of equipment, selective upgrades to medical facilities, and / or selective upgrades to equipment items at medical facilities. System memory can store data from medical facilities including ICUs, and AI-based algorithms can be used to recommend updates to medical facilities based on operating conditions and other information (such as historical patient flows with recovery status). Monitoring the operating status of medical facilities and proposing relevant upgrades can significantly enhance the ability of medical facilities to handle susceptible patients. In addition, the teachings herein can improve the overall life support and services provided by medical facilities.

[0020] Figure 1A A system for updating a medical facility according to a representative embodiment is illustrated.

[0021] Figure 1A The system 100A in is a system for updating a system of medical facilities, and includes components that may be provided together or may be distributed. The system 100A includes a central computer 101, a system memory 102, a network 130, an interface 140, and a health care facility #1 (HCF #1). The central computer 101 includes a controller 150, and the controller 150 includes at least a computer memory 151 storing instructions and a processor 152 executing the instructions. The system 100A may be considered a centralized system as long as the central computer 101 may be centralized, and in some embodiments, the interface 140 and the system memory 102 may be centralized with the central computer 101.

[0022] HCF#1 represents a healthcare facility that stores information such as equipment and personnel in memory. Figure 1A , HFC #1 stores information for at least four rooms labeled as Room #1, Room #2, Room #3, and Room #4. The information for each of the four rooms is labeled as Equipment #1-1, Equipment #1-2, Equipment #1-3, and Equipment #1-4 for Room #1; Equipment #2-1, Equipment #2-2, Equipment #2-3, and Equipment #2-4 for Room #2; Equipment #3-1, Equipment #3-2, Equipment #3-3, and Equipment #3-4 for Room #3; Equipment #4-1, Equipment #4-2, Equipment #4-3, and Equipment #4-4 for Room #4. Of course, HFC #1 or any other healthcare facility may include fewer or more than four rooms, and any particular room may include fewer or more than four equipment items. Figure 1AThe details of HFC #1 in show that various types of information may be maintained for any particular healthcare facility, and artificial intelligence as described herein may be applied to the various types of information to selectively determine whether and when to update the healthcare facility.

[0023] Central computer 101 may be provided at a healthcare facility (such as in an office), or may be provided remotely (such as at a third-party service provider). Central computer 101 receives information from HCF #1 over network 130, such as via a local area network when central computer 101 is local to HCF #1, or via a wide area network when central computer 101 is remote from HCF #1.

[0024] The system memory 102 may also be provided at a healthcare facility, such as in an office, or may be provided remotely, such as at a third-party service provider. Figure 1A 1 and HFC #1, because system memory 102 may be provided with or separately from central computer 101 and HFC #1. System memory 102 may store a large amount of data for HFC #1, including data about the age and use of the healthcare facility and equipment at the healthcare facility, and data about the personnel at the healthcare facility, such as data about which personnel uses which equipment items and how often.

[0025] Interface 140 may include a port, router, transmitter, receiver, transceiver, or any other article of manufacture that interfaces system memory 102 with network 103 .

[0026] Figure 5 1 or 2 depicts a computer that can be used to implement the central computer 101, but the central computer 101 may include a computer other than FIG. 1 or 2 Figure 5 More or fewer elements than those depicted.

[0027] Despite Figure 1A 1. The display may be connected to the central computer 101 via a local wired interface such as an Ethernet cable or via a local wireless interface such as a Wi-Fi connection. The display may interface with other user input devices (including a mouse, keyboard, thumbwheel, etc.) through which a user may enter instructions. The display may be a monitor such as a computer monitor, a display on a mobile device, an augmented reality display, a television, an electronic whiteboard, or another screen configured to display an electronic image. Such a display may be configured to display data for HCF #1 and other forms of displayable information consistent with the teachings herein.

[0028] The controller 150 may include interfaces, such as a first interface, a second interface, a third interface, and a fourth interface. One or more of the interfaces may include ports, disk drives, wireless antennas, or other types of receiver circuits that connect the controller 150 to other electronic components. One or more of the interfaces may also include a user interface, such as a button, a key, a mouse, a microphone, a speaker, a display, or other elements that a user may use to interact with the controller 150 (such as entering instructions and receiving output).

[0029] The controller 150 may directly perform some of the operations described herein, and may indirectly implement other operations described herein. For example, the controller 150 may indirectly control operations, such as by retrieving information from the system memory 102. The controller 150 may directly control other operations, such as logic operations performed by the processor 152 running instructions from the computer memory 151, based on input received from electronic components and / or users via an interface. Thus, the process implemented by the controller 150 when the processor 152 runs instructions from the computer memory 151 may include steps that are not directly performed by the controller 150.

[0030] The controller 150 may use a processor 152 to implement an artificial intelligence model. For example, the artificial intelligence model may be implemented by one or more dedicated cores of a multi-core processor or even a dedicated processor. Alternatively, the artificial intelligence model may be implemented by a processor that is also used to implement other operations in addition to selectively applying the artificial intelligence model to information retrieved from the system memory. The system memory 102 may periodically or continuously obtain information from (one or more) HCFs so that the central computer 101 may maintain vigilance on the operating status of the equipment items in (one or more) HCFs. The artificial intelligence model may be applied periodically or on demand to monitor the comprehensive status of the HCF (such as the ICU at the HCF) and recommend appropriate upgrades based on a time-to-time basis based on need and utility. The artificial intelligence model may recommend maintenance and upgrades of ICU resources. The artificial intelligence model may be trained based on historical patient data, equipment usage data, and periodic equipment maintenance data, and generate appropriate upgrade triggers for better serviceability and advanced treatment. The artificial intelligence model may also cover an operator management module that helps to specifically train existing staff and hire new medical service providers to support HCC / ICU.

[0031] Figure 1B Another system for updating a medical facility according to a representative embodiment is illustrated.

[0032] exist Figure 1B In, with Figure 1AThat is, the central computer 101 can perform the process described herein for HCF#1, HCF#2, and HCF#3, and the system memory 102 retrieves a subset of the data at the HCFs for the process described herein. Figure 1B The multiple HCFs in may be provided by a single entity or different entities. The system 100B may be considered a centralized system as long as the central computer 101 may be centralized, and in some embodiments, the interface 140 and the system memory 102 may be centralized with the central computer 101 .

[0033] exist Figure 1A and Figure 1B In the system memory 102, the system memory 102 receives and stores information obtained from the medical facilities via the interface 140. The interface 140 at least interfaces the system memory 102 to one or more communication networks, such as the network 130. The central computer 101 is configured to retrieve the information obtained from one or more medical facilities from the system memory 102. The controller 150 is configured to apply the artificial intelligence model to the information obtained from each medical facility to determine whether the medical facility is to be updated. The central computer 101 is configured to initiate at least one of the upgrade maintenance of the medical facility based on the determination that the medical facility is to be updated.

[0034] Figure 2 An AI-based system for updating a medical facility is illustrated according to a representative embodiment.

[0035] Figure 2 It is an AI-based system for recommending maintenance and upgrades of ICU resources as a specific embodiment of the teachings of this document. As shown in the figure, the system 200 includes a patient database 202A, an equipment database 202B, an operator database 202C, an AI module 250A, an ICU maintenance module 250B, an ICU equipment upgrade module 250C, and an operator management module 250D. The AI ​​module 250A, the ICU maintenance module 250B, the ICU equipment upgrade module 250C, and the operator management module 250D can all be elements of a trained artificial intelligence model stored in the computer memory 151 and executed by the processor 152. The patient database 202A, the equipment database 202B, and the operator database 202C can be used Figure 1A and Figure 1B The AI ​​module 250A, the ICU maintenance module 250B, the ICU equipment upgrade module 250C and the operator management module 250D can be implemented using the system memory 102 in FIG. Figure 1A and Figure 1BThe system 200 may be implemented as a centralized system as long as the elements of the system 200 can be centralized, such as when implemented using a central computer 101 and a system memory 102.

[0036] The AI ​​module 250A may include a data acquisition component and a core AI intelligent component. The data acquisition module of the AI ​​module 250A may collect ICU-specific data, such as information about various monitoring devices that exist and their corresponding conditions, including how long the equipment has been in service, whether any irregularities have been observed, the working status of the equipment, and the history of regular maintenance. The data acquisition module of the AI ​​module 250A may also merge heterogeneous patient data (such as image-based: X-rays, MRIs, etc.; text-based: clinical prescriptions, order reports); and structured data into a centralized representation.

[0037] The core AI intelligence module of AI module 250A can analyze historical ICU patient data to understand the recovery during patient inflow and stay. The core AI intelligence module of AI module 250A can also be integrated with the pre- / post-ICU status of the same patient monitoring data to evaluate the improvement of the patient status for ICU support. The core AI intelligence module of AI module 250A can learn the characteristics / features of ICU-specific data and classify / rate it according to its current operating status. The core AI intelligence module of AI module 250A can identify poorly performing medical equipment based on the current working status based on the equipment working history (such as the number of times the equipment needs to be restarted, the number of times the equipment fails, etc.) and the periodic maintenance history. The core AI intelligence module of AI module 250A can also include a trigger module that determines whether to update the medical facility, such as by triggering the performance alarm of the poorly performing ICU equipment and communicating it with the ICU maintenance module 250B. The core AI intelligence module of AI module 250A can trigger the alarm of poorly performing and faulty equipment and communicate with the ICU equipment upgrade module 250C. The core AI intelligence module of AI module 250A can also trigger a special upgrade to the ICU by analyzing historical patient data using the needs assessment for critical illness.

[0038] The AI ​​module 250A can be responsible for generating insights using historical patient and ICU data. Patient-specific data used as input for the artificial intelligence model implemented by the AI ​​module 250A may include, for example, any one or more of the patient's clinical condition, clinical reports, and / or tabular data of ICU patients. The patient's clinical condition may include, for example, imaging data, such as X-rays and / or MRI scans. Clinical reports may include, for example, prescriptions, laboratory reports, or bills. Tabular data may include, for example, patient demographics, vital sign measurements, or laboratory reports. ICU data may relate to specific details of the ICU, such as how long the ICU has been operating, the types of operations supported by the ICU, details of medical equipment, maintenance history, etc. The purpose of the AI ​​module 250A is to integrate these heterogeneous data sets, generate meaningful information, and finally provide recommendations for maintenance and upgrades to the ICU.

[0039] The AI ​​module 250A may include a data acquisition and preprocessing component and a core AI smart component. The data acquisition and preprocessing module may present heterogeneous data such as images, text, and tabular data, and provide a common framework to represent such heterogeneous data sets in a machine-readable format. The data acquisition and preprocessing component may apply data cleaning and formatting techniques to remove any duplicate and missing elements. The core AI smart component may generate a ranking-based analysis while taking into account past records of patients for various types of ICUs and their critical time performance in terms of patient recovery time / status. According to the ranking-based system, the core AI smart component may generate triggers for poorly performing and faulty medical equipment in the ICU and forward them to the ICU equipment upgrade module 250C and the ICU maintenance module 250B. In addition, when analyzing patient data, if the AI ​​module 250A detects a mass casualty event, such as many dengue patients, the AI ​​module 250A may generate a trigger to upgrade multiple ICUs to a specific type, such as an ICU for a specific type of disease (such as dengue), so as to support advanced treatment of the cause of a mass casualty event. The same type of trigger may also be generated during an outbreak of a disease that requires a specialized ICU to treat and cure.

[0040] The ICU maintenance module 250B may include software instructions stored in the computer memory 151 and executed by the processor 152. The ICU maintenance module 250B may contain information on various types of ICU equipment and their maintenance status details, such as when they were last serviced or how long they have not been serviced. The ICU maintenance module 250B may be responsible for checking the working status of the triggered equipment (as alerted by the AI ​​module 250A) and determining whether maintenance is required at all based on budget considerations, availability of maintenance staff, etc. The ICU maintenance module 250B may also automatically trigger monthly / annual maintenance of various ICUs and their corresponding monitoring equipment. The ICU maintenance module 250B may also be responsible for integrating the recommendations received from the AI ​​module 250A with regular maintenance to reduce the effective life cost of the ICU equipment.

[0041] ICU maintenance module 250B can be responsible for generating suggestions for maintenance requirements for various types of medical equipment in ICU. Different types of ICUs (such as general medicine ICU, surgical ICU, pediatric ICU and neonatal ICU) may require different types of equipment. ICU maintenance module 250B can be responsible for suggesting maintenance status details, such as how long the ICU or equipment has been out of service. ICU maintenance module 250B can also generate suggestions for maintenance of various equipment such as heart monitors and / or mechanical ventilators. ICU maintenance module 250B can be divided into two main submodules, including a conventional maintenance submodule and a trigger-based maintenance submodule. The conventional maintenance submodule can be responsible for generating conventional or planned maintenance suggestions. Different types of ICUs (such as medicine or surgery) can have different maintenance schedules and may be highly dependent on the severity type of their operations. For example, the maintenance of a surgical ICU responsible for monitoring the most recently operated heart patients may be more critical than a medical ICU responsible for monitoring patients whose sugar levels have dropped and reported below the edge. The schedule can be adaptively changed with the operating age of the ICU and the type of patients treated at the ICU. For example, an ICU that has been in operation for a longer time may require more rapid maintenance than an ICU that has been recently opened. The trigger-based maintenance submodule can be responsible for analyzing the triggered maintenance requests received from the AI ​​module 250A and can verify them while taking into account budget and other considerations. Budget considerations can be to minimize the life cost of the equipment. Other requirements can include the availability of maintenance staff, regular staff schedules, etc. The trigger-based maintenance submodule can also generate recommendations to the user. In addition, based on the above factors, the trigger-based maintenance submodule can be responsible for prioritizing maintenance requests before presenting them to the user.

[0042] The ICU equipment upgrade module 250C may include software instructions stored in the computer memory 151 and run by the processor 152. The ICU equipment upgrade module 250C may be responsible for generating suggestions for upgrading various ICU devices based on the number of patient flows and the type of patient (such as based on the patient's demographic information and / or clinical condition). The ICU equipment upgrade module 250C may also be responsible for checking the operating conditions of the triggered equipment (once alerted by the AI ​​module 250A), and determining whether to repair / replace the failed equipment. The ICU equipment upgrade module 250C may also be responsible for suggesting the acquisition of specialized and advanced equipment, such as next-generation equipment, to support specialized treatments, including, for example, renal failure, neurotrauma, and critical cardiac conditions. The ICU equipment upgrade module 250C may also be responsible for proposing to upgrade the existing ICU for disease-specific treatments or treatments based on critical organ support. In addition, the ICU equipment upgrade module 250C may be responsible for generating suggestions for specialized ICU upgrades that take into account budget requirements.

[0043] ICU equipment upgrade module 250C can be responsible for suggesting any possible equipment upgrades for the ICU. The equipment can be: a heart monitor that records cardiac electrical activity, a mechanical ventilator for artificial respiratory support, a BiPAP device for respiratory support, a suction machine for removing obstructions (such as blood or mucus), an oxygen concentrator for maintaining blood oxygen levels, and an infusion and injection pump for titrating drug intake. Once alerted by AI module 250A, ICU equipment upgrade module 250C can help identify the device status and check the operating status of the triggered device. Finally, ICU equipment upgrade module 250C can determine whether to repair / replace the faulty equipment, such as to remove the blockage present in the suction tube or oxygen tube or replace it with a new oxygen supply. ICU equipment upgrade module 250C can be responsible for suggesting the acquisition of specialized and advanced equipment, such as the next generation of respiratory support for specialized treatment or the Advanced Organ Support (ADVOS) system for albumin dialysis procedures, which can eliminate water-soluble and albumin-bound substances.

[0044] The ICU equipment upgrade module 250C may include two main upgrade submodules, including a device-specific upgrade submodule and an ICU-specific submodule. The device-specific upgrade submodule may collect trigger requests from the AI ​​module 250A and verify them, and ultimately generate suggestions to the user whether the ICU equipment needs actual repair / replacement or upgrade. In addition, the device-specific upgrade submodule may verify other budget and staff-related constraints before completing and presenting the repair / replacement request for the equipment. As an example, upgrading to the next generation of cardiac monitoring equipment may require an additional $5000 and special training to operate the equipment, and if the hospital staff or annual budget does not meet the requirements, the device-specific upgrade submodule may decide to discard the suggestions from the AI ​​module 250A. The ICU-specific upgrade submodule may also receive AI-based triggers for upgrading the ICU to support more specialized treatments, such as using respiratory assistance and advanced life support machines to support the outbreak of COVID. Upgrading to such a specialized ICU may also require specialized training for staff, so the ICU-specific upgrade submodule may communicate it with the operator management module 250D.

[0045] As described above, the ICU equipment upgrade module 250C may consider various inputs, including from patient flow and clinical conditions of admitted patients, to recommend upgrades and additions to medical equipment.

[0046] The operator management module 250D may include software instructions stored in the computer memory 151 and executed by the processor 152. The operator management module 250D may be used to integrate operator data consisting of the status and experience of the ICU operators. The operator management module 250D may also be used to recommend the acquisition / hiring of new operators based on their (one or more) expertise and needs / requirements in the hospital and the upgraded ICU medical equipment. The operator management module 250D may also be used to support specialized training service providers, including selecting staff for specialized training using a ranking-based system, and after selecting the staff, identifying the type and amount of training required while taking into account their current expertise / training and needs.

[0047] Operator management module 250D can be responsible for integrating operator data, which contains the status and experience of ICU operators, the current available training set and the training list completed by the specific operator, and the type of specialized operators such as medicine or surgery. Operator management module 250D can analyze any possible and necessary training upgrades available for any hospital operator, and make suggestions accordingly. Operator management module 250D can also rank operators according to experience, and dispatch operators for severe situations accordingly, such as to ensure that the most critical patients are served by more skilled ICU operators. Operator management module 250D can also recommend employment and training for operators based on the expertise and needs / requirements of medical facilities. Operator management module 250D includes training existing ICU operator submodules and hiring new ICU operator submodules. Training existing ICU operator submodules can recommend required training for existing staff / workers, and can also prioritize such training and generate corresponding schedules for training each staff member. As an example, training existing ICU operator submodules can be based on determining that this type of training is most important after acquiring such a machine to schedule training related to processing next generation heart monitoring. The Train Existing ICU Operators submodule may also consider training requirements for upgraded (new) medical equipment. The Hire New ICU Operators submodule may be responsible for recommending new hires for ICU-related staff or medical service providers. The hiring of new employees may be part of routine operations or may be triggered by an outbreak. When hiring new staff, the Train Existing ICU Operators submodule may provide special priority for situations that require urgent attention. For example, the Train Existing ICU Operators submodule may determine that COVID-specific staff with sufficient training should be hired to set up the artificial respiration system.

[0048] Figure 3 A method for updating a system of a medical facility according to a representative embodiment is illustrated.

[0049] Figure 3 The method can be Figure 1A System 100A, Figure 1B System 100B and / or Figure 2 Executed by system 200.

[0050] Figure 3 The method can be mainly performed by a centralized system, such as Figure 1A and Figure 1B The method begins at S310 by collecting information from a medical facility, such as a healthcare facility. The medical facility may be Figure 1A HCF#1 or Figure 1BAny of HCF#1, HCF#2, or HCF#3 in the data center may be used to collect information from the data center, and information may be collected internally via an information collection and archiving system. The collected information may be equipment and / or facility usage information, patient treatment information and corresponding demographic information, and other types of information that may be valuable to the artificial intelligence model in determining when to update any of HCF#1, HCF#2, or HCF#3.

[0051] At S320, information is obtained from the medical facility via the interface. For example, the information may be obtained by the system memory 102 via the network 130 and the interface 140. For example, the information may be sent or retrieved periodically, and / or may be sent or retrieved on demand.

[0052] At S330, information is stored in the system memory. For example, information sent to or retrieved by the system memory 102 may be stored.

[0053] At S340, information is retrieved from the system memory 102. For example, the central computer 101 may periodically retrieve specified information from the system memory 340, such as for a particular equipment item or type or a particular facility.

[0054] At S350, the artificial intelligence model is applied to the information retrieved from the system memory 102. The artificial intelligence model is applied to determine whether the medical facility is to be updated.

[0055] The controller 150 is used to implement an AI-based advisory system for medical facilities, such as for ICU upgrades and for monitoring ICU medical equipment for periodic maintenance. The system described herein is responsible for utilizing historical / real-time data to generate actionable insights associated with upgrades to medical facilities (such as ICUs) while taking into account the current operating status of the medical facility and metrics such as predicted patient inflow. Figure 2 The AI ​​module 250A in the example may be responsible for generating insights based on historical data, while Figure 2 The ICU maintenance module 250B in the embodiment may be responsible for triggering routine maintenance, and Figure 2 The ICU equipment upgrade module 250C may be responsible for triggering the acquisition of the next generation of equipment.

[0056] In some embodiments, the information applied to the artificial intelligence model can be information about patient status and recovery for one or more medical facilities. This information can be used to determine anomalies in equipment usage, as well as patient outcomes associated with different staff members and different equipment. This information can also be applied from multiple facilities, such as to compare outcomes and usage at different facilities.

[0057] As one example of an output from the artificial intelligence model at S350, the controller 150 may recommend upgrades to ICU components based on equipment utilization and patient flow predictions. As another example, the controller 150 may recommend maintenance of ICU equipment based on equipment utilization and patient flow predictions. As yet another example, the controller 50 may manage equipment operators based on equipment utilization history, such as by recommending training or retraining.

[0058] At S360 , it is determined whether the medical facility is to be updated.

[0059] If the medical facility is to be updated (S360=Yes), at S370, at least one of maintenance or updating is initiated, and then the process returns to S310. If the medical facility is not to be updated (S360=No), the process returns to S310 without initiating updating.

[0060] Figure 1A System 100A, Figure 1B System 100B, Figure 2 System 200 and Figure 3 The method can be used to avoid emergency situations, wherein certain failures of medical equipment in the ICU can be overcome by regular monitoring and maintenance. These systems and methods can also be used to maintain the operational quality of key medical equipment through system and method maintenance. The marginal error of reporting healthy vital signs (such as blood pressure, pulse rate, oxygen level) can be reduced with carefully managed / monitored equipment because this can be evaluated more accurately. These systems and methods can be used to upgrade to the most advanced machines to improve the patient's vital sign estimation, disease detection and health support. In extreme cases, such as during a disease outbreak, these systems and methods can be used to upgrade to a special ICU to assist in providing excellent treatment and recovery. Keeping up with the latest trends in equipment development can also assist in understanding any new patterns or irregularities of patient symptoms. Training existing staff and recruiting specialized staff using these systems and methods can also help develop overall staff skill sets when equipment is upgraded, and ultimately improve ICU operation and serviceability.

[0061] Figure 4A Another method for updating a system of a medical facility according to a representative embodiment is illustrated.

[0062] Figure 4AThe method begins with a periodic trigger at S402 or an alarm trigger at S404. The periodic trigger can be a timed trigger at the medical facility to perform automatic collection of information, such as every 5 minutes, every 15 minutes, every hour, every 4 hours, every 6 hours, every 12 hours, or every 24 hours. The medical facility can use multiple periodic triggers for different types of data collection, including multiple periodic triggers set at different timed intervals for different types of data. The alarm trigger can be a trigger generated by an alarm, such as when equipment at the ICU detects a failure or potential failure or a significant event.

[0063] At S408, equipment or ICU data is retrieved. For example, data may be retrieved from an equipment or information archiving system at a medical facility. Equipment data may be usage data for the amount of time the equipment was used, the context in which the equipment was used, the movement of the equipment between different rooms and areas of the medical facility, and patient data for the patients on whom the equipment was used. ICU data may record the movement of staff, patients, and equipment in and out of the ICU.

[0064] At S412, the trained artificial intelligence model is applied to the data retrieved at S408. The trained artificial intelligence model can be trained to detect when various equipment should be maintained or upgraded, when various staff members should be hired or trained / retrained, when the ICU should be maintained or upgraded, etc. The training of the trained artificial intelligence model can be based on real-world situations of timing of known failures of staff or various equipment items, as well as input information of usage and work history of equipment and staff, such as from multiple different medical facilities.

[0065] At S416, a determination is made as to whether maintenance is required. For example, the trained artificial intelligence model may determine that maintenance is required for an item of equipment or an ICU as a facility. If maintenance is required (S416 = Yes), maintenance is initiated at S420 and the process ends at S425. If maintenance is required (S416 = No), the process ends at S425 without initiating maintenance.

[0066] Figure 4B Another method for updating a system of a medical facility according to a representative embodiment is illustrated.

[0067] Figure 4B Methods and Figure 4A The method of 417 overlaps with that of 4177, except that the determination at S417 is about whether the equipment or ICU needs to be upgraded, and at S421, if the answer is yes (S417=yes), the upgrade is initiated.

[0068] Figure 4C Another method for updating a system of a medical facility according to a representative embodiment is illustrated.

[0069] Figure 4C Methods and Figure 4A and Figure 4B The method overlaps with that of , except that at S409 the operator history data is retrieved, at S418 the determination at S417 is as to whether the operator needs to be trained, and at S422 if the answer is yes (S418=yes), a training command is initiated.

[0070] As from Figure 4A , Figure 4B and Figure 4C As should be apparent, one or more trained artificial intelligence models can be applied to data dynamically collected from a medical facility and used to output recommendations for maintenance and upgrades. The types of maintenance and upgrades can be for equipment at the medical facility, or for the medical facility as a whole, and for staff working at the medical facility or who should be employed to work at the medical facility.

[0071] Figure 5 A computer system on which a method for updating a system of a medical facility is implemented is illustrated according to another representative embodiment.

[0072] 4 , computer system 500 includes a set of software instructions that can be executed to cause computer system 500 to perform any of the methods or computer-based functions disclosed herein. Computer system 500 can operate as a standalone device, or can be connected to other computer systems or peripheral devices, for example, using network 501. In an embodiment, computer system 500 performs logic processing based on digital signals received via an analog-to-digital converter.

[0073] In a networked deployment, the computer system 500 operates in the capacity of a server or as a client user computer in a server-client user network environment, or operates as a peer computer system in a point-to-point (or distributed) network environment. The computer system 500 can also be implemented as or incorporated into various devices, such as a workstation, which includes a controller, a fixed computer, a mobile computer, a personal computer (PC), a laptop computer, a tablet computer, or any other machine capable of running a software instruction set (sequentially or otherwise) specifying the action to be taken by the machine. The computer system 500 can be incorporated as a device or in a device, which in turn is in an integrated system including additional devices. In an embodiment, the computer system 500 can be implemented using an electronic device that provides voice, video or data communication. In addition, although the computer system 500 is illustrated in the singular, the term "system" should also be considered to include any collection of systems or subsystems that run one or more software instruction sets to perform one or more computer functions alone or in combination.

[0074] like Figure 5 As illustrated, computer system 500 includes processor 510. Processor 510 can be considered as a representative example of a processor of a controller, and runs instructions to implement some or all aspects of the methods and processes described herein. Processor 510 is tangible and non-transient. As used herein, the term "non-transient" should be interpreted as not a permanent characteristic of a state, but a characteristic of a state that will last for a period of time. The term "non-transient" specifically negates transient characteristics, such as characteristics of a carrier or signal or other forms that exist only temporarily anywhere at any time. Processor 510 is an article and / or machine component. Processor 510 is configured to run software instructions to perform functions as described in various embodiments of this article. Processor 510 can be a general-purpose processor or can be part of an application-specific integrated circuit (ASIC). Processor 510 can also be a microprocessor, a microcomputer, a processor chip, a controller, a microcontroller, a digital signal processor (DSP), a state machine, or a programmable logic device. Processor 510 can also be a logic circuit, including a programmable gate array (PGA), such as a field programmable gate array (FPGA), or another type of circuit including discrete gates and / or transistor logic. Processor 510 may be a central processing unit (CPU), a graphics processing unit (GPU), or both. In addition, any processor described herein may include multiple processors, parallel processors, or both. Multiple processors may be included in a single device or multiple devices or coupled to a single device or multiple devices.

[0075] The term "processor" as used herein encompasses an electronic component capable of running a program or machine executable instructions. References to a computing device that includes a "processor" should be interpreted as including more than one processor or processing core, such as in a multi-core processor. A processor may also refer to a collection of processors within a single computer system or distributed among multiple computer systems. The term computing device system should also be interpreted to include a collection or network of computing devices that each include one or more processors. A program has software instructions that are run by one or more processors that may be within the same computing device or may be distributed across multiple computing devices.

[0076] The computer system 500 also includes a main memory 520 and a static memory 530, wherein the memories in the computer system 500 communicate with each other and with the processor 510 via a bus 508. Either or both of the main memory 520 and the static memory 530 can be considered as representative examples of the memory of the controller, and store instructions for implementing some or all aspects of the methods and processes described herein. The memory described herein is a tangible storage medium for storing data and executable software instructions and is non-transient during the time when the software instructions are stored therein. As used herein, the term "non-transient" should be interpreted as a characteristic that is not a permanent characteristic of a state, but a characteristic of a state that will last for a period of time. The term "non-transient" specifically negates transient characteristics, such as characteristics of carrier waves or signals or other forms that exist only temporarily anywhere at any time. The main memory 520 and the static memory 530 are articles of manufacture and / or machine components. The main memory 520 and the static memory 530 are computer-readable media from which a computer (e.g., a processor 510) can read data and executable software instructions. Each of the main memory 520 and the static memory 530 may be implemented as a random access memory (RAM), a read-only memory (ROM), a flash memory, an electrically programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a register, a hard disk, a removable disk, a magnetic tape, a compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a floppy disk, a Blu-ray disk, or any other form of storage medium known in the art. The memory may be volatile or non-volatile, secure and / or encrypted, unsecure and / or unencrypted.

[0077] "Memory" is an example of a computer-readable storage medium. Computer memory is any memory directly accessible to a processor. Examples of computer memory include, but are not limited to, RAM memory, registers, and register files. References to "computer memory" or "memory" should be interpreted as potentially being multiple memories. The memory may, for example, be multiple memories within the same computer system. The memory may also be multiple memories distributed among multiple computer systems or computing devices.

[0078] As shown, the computer system 500 also includes a video display unit 550, such as a liquid crystal display (LCD), an organic light emitting diode (OLED), a flat panel display, a solid state display, or a cathode ray tube (CRT). In addition, the computer system 500 includes an input device 560, such as a keyboard / virtual keyboard or a touch-sensitive input screen or a voice input unit with voice recognition, and a cursor control device 570, such as a mouse or a touch-sensitive input screen or a keypad. The computer system 500 also optionally includes a disk drive unit 580, a signal generating device 590 (such as a speaker or a remote controller) and / or a network interface device 540.

[0079] In an embodiment, Figure 5 As depicted, disk drive unit 580 includes a computer readable medium 582 in which one or more software instruction sets 584 (software) are embedded. The software instruction sets 584 are read from the computer readable medium 582 to be executed by the processor 510. In addition, the software instructions 584, when executed by the processor 510, perform one or more steps of the methods and processes as described herein. In an embodiment, the software instructions 584 reside in whole or in part within the main memory 520, static memory 530, and / or processor 510 during execution by the computer system 500. In addition, the computer readable medium 582 may include the software instructions 584 or receive and execute the software instructions 584 in response to a propagated signal so that a device connected to the network 501 communicates voice, video, or data over the network 501. The software instructions 584 may be sent or received over the network 501 via the network interface device 540.

[0080] In an embodiment, dedicated hardware implementations such as application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), programmable logic arrays, and other hardware components are constructed to implement one or more methods described herein. One or more embodiments described herein can use two or more specific interconnected hardware modules or devices with related control and data signals that can be transmitted between modules and through modules to implement functions. Therefore, the present disclosure encompasses software, firmware, and hardware implementations. Anything in this application should not be interpreted as being implemented or implementable only with software rather than hardware such as tangible non-transient processors and / or memories.

[0081] According to various embodiments of the present disclosure, a hardware computer system that executes a software program can be used to implement the methods described herein. In addition, in an exemplary non-limiting embodiment, implementations may include distributed processing, component / object distributed processing, and parallel processing. Virtual computer system processing can implement one or more of the methods or functions described herein, and the processors described herein can be used to support a virtual processing environment.

[0082] Therefore, the system for updating medical facilities enables the updating of medical facilities based on applying artificial intelligence models to information obtained from medical facilities. Examples of the above-mentioned updates include, for example, selective maintenance of equipment, selective upgrades of medical facilities, and / or selective upgrades of equipment items at medical facilities. Using the system described herein when enhancing the functionality of medical facilities with advanced equipment can assist in understanding any new patterns or irregularities of patient symptoms, resulting in proposals for more effective treatment. The system described herein can also be used to train existing staff and recruit specialized staff to help develop an overall skill set, as this will improve ICU operations and serviceability in the facility.

[0083] Although the system for updating medical facilities has been described with reference to several exemplary embodiments, it should be understood that the words that have been used are words of description and illustration, rather than words of limitation. Changes may be made within the scope of the appended claims as presently stated and amended without departing from the scope and spirit of the system for updating medical facilities in its aspects. Although the system for updating medical facilities has been described with reference to specific modules, materials, and embodiments, the system for updating medical facilities is not intended to be limited to the details disclosed; rather, the system for updating medical facilities extends to all functionally equivalent structures, methods, and uses, such as within the scope of the appended claims.

[0084] The illustrations of the embodiments described herein are intended to provide an overall understanding of the structures of the various embodiments. These illustrations are not intended to be used as a complete description of all elements and features of the disclosure described herein. After viewing the disclosure, many other embodiments may be apparent to those skilled in the art. Other embodiments may be utilized and derived from the disclosure so that structural and logical replacements and changes may be made without departing from the scope of the disclosure. In addition, the illustrations are merely representative and may not be drawn to scale. Certain proportions within the illustrations may be exaggerated, while other proportions may be minimized. Therefore, the disclosure and the accompanying drawings should be considered illustrative and not restrictive.

[0085] This article refers to one or more embodiments of the present disclosure individually and / or collectively herein by the term "invention" only for convenience, and is not intended to voluntarily limit the scope of the present application to any particular invention or inventive concept. In addition, although specific embodiments have been illustrated and described herein, it should be appreciated that any subsequent arrangements designed to achieve the same or similar purposes may replace the specific embodiments shown. The present disclosure is intended to cover any and all subsequent modifications or variations of the various embodiments. After reviewing this specification, the combination of the above-mentioned embodiments and other embodiments not specifically described herein will be apparent to those skilled in the art.

[0086] The Abstract of the present disclosure is provided to comply with 37 CFR § 1.72 (b) and is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. In addition, in the foregoing detailed description, various features may be grouped together or described in a single embodiment for the purpose of simplifying the present disclosure. This disclosure should not be interpreted as reflecting an intention that the claimed embodiments require more features than those expressly recited in each claim. Rather, as reflected in the following claims, the inventive subject matter may involve less than all the features of any disclosed embodiment. Therefore, the following claims are incorporated into the detailed description, with each claim itself as defining a separately claimed subject matter.

[0087] The previous description of the disclosed embodiments is provided to enable those skilled in the art to practice the concepts described in the present disclosure. As such, the subject matter disclosed above should be considered illustrative rather than restrictive, and the claims are intended to cover all such modifications, enhancements, and other embodiments that fall within the true spirit and scope of the present disclosure. Therefore, to the maximum extent permitted by law, the scope of the present disclosure is to be determined by the broadest permissible interpretation of the claims and their equivalents, and shall not be constrained or limited by the foregoing detailed description.

Claims

1. A system for updating medical facilities, comprising: a computer comprising a computer memory storing instructions and a processor executing said instructions; Interfaces to communication networks, and a system memory that receives and stores information obtained from the medical facility via the interface, wherein, based on the processor executing the instructions, the computer is configured to: retrieving from said system memory said information obtained from said medical facility; applying an artificial intelligence model to the information obtained from the medical facility to determine whether to update the medical facility; and At least one of maintenance or upgrading of the medical facility is initiated based on determining that the medical facility is to be updated.

2. The system according to claim 1, wherein: The system is a centralized system configured to determine whether a plurality of medical facilities including the medical facility are to be updated and to initiate at least one of maintenance or upgrading of each of the plurality of medical facilities.

3. The system according to claim 1, wherein: The artificial intelligence model includes: a trigger module that determines whether to update the medical facility, and a maintenance module that determines whether to initiate maintenance of equipment in the medical facility.

4. The system according to claim 1, wherein: The artificial intelligence model includes: a trigger module for determining whether to update the medical facility, and an upgrade module for determining whether to initiate an upgrade of the medical facility.

5. The system of claim 1, wherein: The system memory receives and stores usage information for a plurality of equipment items at the medical facility, and the computer is configured to initiate at least one of maintenance or an upgrade of each of the plurality of equipment items at the medical facility.

6. The system according to claim 1, wherein: The computer is configured to: intermittently retrieve the information obtained from the medical facility from the system memory; and intermittently apply the artificial intelligence model to the information obtained from the medical facility to determine whether to update the medical facility.

7. A method for upgrading a medical facility, comprising: receiving and storing at a system memory information obtained from the medical facility via an interface; retrieving, by a system computer from said system memory, said information obtained from said medical facility, said system computer comprising a computer memory storing instructions and a processor executing said instructions; applying, by the system computer, an artificial intelligence model to the information obtained from the medical facility to determine whether to update the medical facility; and At least one of maintenance or upgrading of the medical facility is initiated by the system computer based on determining that the medical facility is to be updated.

8. The method according to claim 7, wherein: The method is performed by a centralized system configured to determine whether a plurality of medical facilities including the medical facility are to be updated and to initiate at least one of maintenance or upgrading of each of the plurality of medical facilities.

9. The method according to claim 7, wherein: The artificial intelligence model includes: a trigger module that determines whether to update the medical facility, and a maintenance module that determines whether to initiate maintenance of equipment in the medical facility.

10. The method according to claim 7, wherein: The artificial intelligence model includes: a trigger module for determining whether to update the medical facility, and an upgrade module for determining whether to initiate an upgrade of the medical facility.

11. The method according to claim 7, wherein: The system memory receives and stores usage information for a plurality of equipment items at the medical facility, and the system computer is configured to initiate at least one of maintenance or an upgrade of each of the plurality of equipment items at the medical facility.

12. The method according to claim 7, wherein: The system computer is configured to: intermittently retrieve the information obtained from the medical facility from the system memory; and intermittently apply the artificial intelligence model to the information obtained from the medical facility to determine whether to update the medical facility.

13. A computer for updating medical facilities, comprising: Computer memory, which stores instructions; as well as a processor that executes the instructions, Wherein, based on the processor executing the instructions, the computer is configured to: retrieving information obtained from the medical facility via an interface from a system memory that receives and stores the information obtained from the medical facility; applying an artificial intelligence model to the information obtained from the medical facility to determine whether to update the medical facility; and At least one of maintenance or upgrading of the medical facility is initiated based on determining that the medical facility is to be updated.

14. The computer according to claim 13, wherein: The computer is implemented in a centralized system configured to determine whether a plurality of medical facilities including the medical facility are to be updated and to initiate at least one of maintenance or upgrading of each of the plurality of medical facilities.

15. The computer according to claim 13, wherein: The artificial intelligence model includes: a trigger module for determining whether to update the medical facility, a maintenance module for determining whether to initiate maintenance of equipment in the medical facility, and an upgrade module for determining whether to initiate an upgrade of the medical facility.

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