Intelligent networking care monitoring management system

Abstract

The application discloses a smart networking care monitoring management system, which comprises a control host, and is electrically connected with an action controller, a detection device, an identification sensor, a memory module and a remote output unit. The action controller is controlled by the control host to drive the bed frame to act. The detection device is used for obtaining the in-bed state, physiological state or environmental state information of a care receiver. The identification sensor is used for acquiring the space feature data around the care equipment, so as to reflect the position, posture or operation behavior of the care receiver or a care worker. The system accurately determines whether the care worker is actually present and performs a compliant action under a specific care situation (such as a sputum taking mode or a feeding mode), and then outputs a digital process record with time stamp information.

Description

Technical Field

[0001] This invention relates to the field of smart care technology, and more specifically, to a smart networked care monitoring and management system. Background Technology

[0002] With the aging population trend, the shortage of caregivers has become a serious challenge for medical and long-term care institutions. To alleviate the physical burden on caregivers, the industry has developed various assisted turning devices, such as the turning aid structure in Taiwan Patent No. M671940, which assists users in adjusting their posture through the cooperation of an electrically driven component and a specific mattress structure. However, existing technologies still have the following unresolved shortcomings when implemented in actual care management processes: First, the generation of care records still relies heavily on manual entry, resulting in insufficient timeliness and accuracy of the data. Existing technologies largely focus on improving hardware structure; while some devices possess basic monitoring functions, their data collection is often disconnected from actual operational processes. In clinical care practice, care records, such as turning times and feeding patterns, are still mostly handwritten or manually entered into the system afterward. This not only increases the administrative workload but is also prone to inaccuracies due to human error or memory bias, making it difficult to form a foundation for continuous big data analysis.

[0003] Secondly, the existing system lacks a behavioral verification mechanism, failing to ensure the compliance of care quality. Most existing sensing devices only monitor the patient in one direction, lacking effective sensing mechanisms for the behavior of caregivers. For example, in specific situations requiring staff presence, such as chest percussion or feeding, traditional equipment can only record whether the bed moves, but cannot confirm the caregiver's actual presence or determine whether their actions conform to standard procedures. This gap in recording makes it impossible for institutional management to identify instances of neglect or staff negligence, and in the event of a medical dispute, there is a lack of credible evidence to clarify responsibility.

[0004] Furthermore, the lack of correlation and cross-validation between heterogeneous data affects the accuracy of decision support. Existing physiological monitoring equipment, environmental sensors, and bed control systems mostly operate independently, lacking effective logical connections between various data points. When data is not cross-validated—for example, the equipment indicates that a turning motion has been performed, but the position sensor does not detect the corresponding postural change—the system cannot determine the validity of the data in real time, nor can it provide forward-looking care suggestions tailored to the user's specific condition, thus limiting the depth of smart care systems in precision medicine applications.

[0005] Even worse, the operational and sensor information generated by existing electric beds or turning-over assistive beds is mostly displayed on the device itself or the control interface. The relevant data is not systematically saved, and it is difficult to centrally manage, query, or download it through the network. As a result, the information is only useful for real-time reference and is not conducive to subsequent care management, quality assessment, or accountability.

[0006] In other words, current care equipment generally can only perform posture adjustments or provide single sensing information, but lacks a mechanism to integrate and compare bed movements, the state of the person being cared for, and the behavior of caregivers to form a verifiable care process record. Therefore, it has not yet met the needs of care monitoring and management and data reliability in smart care environments. How to solve the aforementioned problems is a key research and development direction for the industry.

[0007] Due to the aforementioned shortcomings and needs, the inventor, drawing on years of experience in related technologies and product design and manufacturing, researched these deficiencies and needs and actively sought solutions. Through continuous research and experimentation, a smart networked care monitoring and management system was successfully developed to overcome the inconveniences and troubles caused by the inability to monitor existing systems. Summary of the Invention

[0008] To address at least one of the aforementioned technical problems, this invention proposes a smart networked care monitoring and management system. This system is applied to electric beds, turning-over assistive beds, or other care devices with posture adjustment functions. It combines device drive control, human body status detection, and personnel behavior recognition mechanisms to simultaneously collect and analyze the user's posture changes, bed status, and the approach and operational behavior of caregivers during posture adjustment or care actions performed by the device. This results in a verifiable care process record, which is then used for subsequent care management, quality assessment, and system integration applications via a network connection.

[0009] The first aspect of this invention provides a smart networked care monitoring and management system, comprising: A care device, wherein the care device has a posture adjustment function; The control host is used to receive, process, and integrate control and sensing information in the system. The identification sensor is electrically connected to the control host and is used to acquire spatial feature data within a predetermined range of the care equipment. The spatial feature data includes the location information and behavioral characteristics of the caregiver. An action controller is electrically or signal-connected to the care equipment. The control host controls the action controller to drive the care equipment to perform posture adjustments or corresponding care actions. A detection device, which is electrically connected to a control host, is configured on the care equipment and is used to collect the status information of the person being cared for on the care equipment; The control host performs a spatiotemporal synchronous logical comparison of the operating mode of the motion controller, the status feedback signal of the detection device, and the spatial and behavioral characteristics of the identification sensor, thereby determining whether the caregiver is actually present to perform the corresponding care work in a specific situation.

[0010] In a preferred embodiment of the present invention, the care device is a folding bed frame assembly, which includes a base frame, at least one drive cylinder, and a block mattress assembly. The block mattress assembly is disposed above the base frame, and the motion controller controls the drive cylinder to drive the folding bed frame assembly to perform lifting, flipping, or posture adjustment actions.

[0011] In a preferred embodiment of the present invention, the control host is connected to a memory module, which is used to store care history data generated during the care device's care actions.

[0012] In a preferred embodiment of the present invention, the control host is electrically connected to a human-machine interface for providing care mode settings, status queries, or scenario mode selection.

[0013] In a preferred embodiment of the present invention, the identification sensor is at least one of a radar wave sensing element, an image sensing element, or a non-contact sensing element, and the identification sensor is used to acquire spatial feature data around the care device.

[0014] In a preferred embodiment of the present invention, a remote output unit is further included. The remote output unit is electrically connected to the control host and transmits care history data to an external management platform or remote terminal device via wired or wireless communication for querying, management, or system integration applications.

[0015] In a preferred embodiment of the present invention, a warning element is further included. The warning element is electrically connected to the control host. When the control host determines that the corresponding caregiver's operation behavior information has not been obtained in a specific care situation, the warning element is used to provide a warning in the form of sound, light, or message.

[0016] In a preferred embodiment of the present invention, the status information includes at least one of the following: bed-off detection information, prolonged bed rest pressure monitoring information, urine bag liquid level information, diaper humidity information, vital signs information, blood oxygen saturation, or ambient temperature and humidity.

[0017] The technical solution of the present invention has the following advantages compared with the prior art: 1. This invention integrates the drive control information and sensing information of care equipment, enabling the equipment to generate corresponding care process data simultaneously when performing posture adjustment or care actions. This reduces the problems of insufficient real-time performance, omissions, or distortions caused by relying on manual entry of care records, and improves the integrity and traceability of care records.

[0018] 2. By comparing the detection results of the patient's status and the caregiver's approach and operation behavior, the system can confirm whether the caregiver is actually present to perform the corresponding care work in a specific care situation. This makes up for the deficiency of existing care equipment, which can only record equipment actions but cannot verify care behavior, and is conducive to care quality management and responsibility clarification.

[0019] 3. By integrating and networking care data, the system links and cross-references bed movement information, the status information of the person being cared for, and other relevant sensor information. This information is then systematically stored and centrally managed via a network to improve the consistency and reliability of care monitoring data. This data can then be used for subsequent care management, quality assessment, and system integration, overcoming the limitation of existing care equipment that only provides real-time display and is not conducive to long-term management. Attached Figure Description

[0020] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, some of the drawings in the following description are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0021] Figure 1 This is a schematic diagram of the architecture of the intelligent networked care monitoring and management system according to an embodiment of the present invention; Figure 2 This is a three-dimensional appearance schematic diagram of the electric bed in the intelligent networked care monitoring and management system of the present invention. Figure 3 This is a three-dimensional exploded view of the electric bed in the intelligent networked care monitoring and management system of this invention. Figure 4 This is a schematic diagram of the appearance of the intelligent networked care monitoring and management system according to an embodiment of the present invention in actual application.

[0022] In the diagram, 10 is the system; 11 is the control host; 12 is the human-machine interface; 15 is the identification sensor; 16 is the memory module; 18 is the remote output unit; 19 is the warning element; 20 is the folding bed frame assembly; 21 is the bottom frame; 210 is the outer frame; 211 is the support frame; 22 is the drive cylinder; 25 is the block mattress assembly; 26 is the block frame; 27 is the block mattress; 30 is the motion controller; and 40 is the detection device. Detailed Implementation

[0023] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0024] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0025] Example 1 See Figure 1 As shown, this invention proposes a smart networked care monitoring and management system 10 for electric beds, turning-over assist beds, or other care folding bed frame assemblies 20 with posture adjustment functions. The system 10 mainly includes a control host 11, a human-machine interface 12, an identification sensor 15, a memory module 16, and a remote output unit 18, and is electrically or signal-connected to an action controller 30 and a detection device 40. The action controller 30 is used to control the folding bed frame assemblies 20 to perform posture adjustment actions, while the detection device 40 is used to obtain the status information of the person being cared for on the folding bed frame assemblies 20.

[0026] Therefore, the system 10 uses the host 11 to perform a spatiotemporal logical comparison of the operating mode of the action controller 30, the status feedback signal of the detection device 40, and the spatial location and behavioral characteristics of the caregiver acquired by the identification sensor 15, thereby determining whether the caregiver is indeed present to perform the corresponding substantive care work in a specific situation mode.

[0027] The intelligent networked care monitoring and management system of this invention integrates motion control of care equipment, detection of the state of the person being cared for, and information related to the behavior of caregivers. This allows electric beds or turning-around beds to simultaneously generate a time-series-related care process record when performing care actions. By cross-referencing the bed frame's motion information with the state and spatial characteristics obtained by sensing devices and identification sensors, the system avoids record distortion caused by relying solely on equipment actions to determine care completion and confirms whether caregivers were actually present to perform the corresponding care tasks within the specified time period. This not only reduces reliance on manual entry for care records but also enhances the traceability and verifiability of care operations, enabling the generated care process data to be used for subsequent quality management, accountability clarification, and network integration applications.

[0028] The control host 11 is the core control unit of the system, used to receive, process, and integrate control and sensing information transmitted from various modules, and to execute system operation and data management according to preset logic. The human-machine interface 12 is electrically connected to the control host 11 and serves as an interface for caregivers or managers to perform operation settings, status queries, or mode selections. It can take the form of physical buttons, a touch display device, or other input and display interface devices. The identification sensor 15 is electrically connected to the control host 11. The identification sensor 15 can be a millimeter-wave radar sensor module, a vision recognition module, or an equivalent non-contact sensing element, used to actively or passively acquire spatial feature data within a predetermined range of the folding bed frame assembly 20, to obtain relevant status information of the person being cared for or the caregiver. This status information may include posture changes, positional relationships, or other identifiable physical characteristics. By controlling the host 11 to process the aforementioned physical characteristic data, the system 10 can accurately identify detailed operational behaviors in specific care situations, including but not limited to the frequency of hand tremors when caregivers perform sputum patting or back patting, the lifting action of holding objects when feeding orally or via tube, and the fixed-point stationary status of personnel when assisting in relocation or lifting legs to trim nails, and then converting the behavioral information into a digital process record that can be compared and verified by the system.

[0029] Furthermore, the memory module 16 is electrically connected to the control host 11 and is used to format, encapsulate, and digitally store the operation commands triggered by the motion controller 30, the sensing data returned by the detection device 40, and the behavioral recognition information generated by the identification sensor 15 during the operation of the system 10, forming a care process record with time stamp information for management to trace or audit. The remote output unit 18 includes information communication architectures such as Ethernet, Wi-Fi, Bluetooth Low Energy (BLE), or LTE / 5G mobile communication networks. It is scheduled by the control host 11 to synchronously or asynchronously transmit the data in the memory module 16 to a cloud management platform or remote terminal device. In this way, the system 10 of the present invention can realize centralized management of big data and can further integrate data with the enterprise resource planning (ERP) or nursing information system (NIS) of medical institutions for cross-platform data application.

[0030] The control host 11 is further electrically connected to an alarm element 19, which is used to provide sound, light or message warnings when the system 10 detects an abnormal state or a situation that requires reminders.

[0031] The motion controller 30 is electrically or signal-connected to the folding bed frame assembly 20, and is used to drive the folding bed frame assembly 20 to perform posture adjustments or other corresponding care actions according to the control commands issued by the control host 11. The detection device 40 is disposed on or around the folding bed frame assembly 20, and is composed of a plurality of sensing units, used to obtain the operating status of the care equipment and the relevant status information of the care recipient. Its sensing scope includes, but is not limited to, bed exit detection, prolonged bed rest pressure monitoring, urine bag liquid level height, diaper humidity sensing, vital signs signals, blood oxygen saturation, and ambient temperature and humidity sensing information.

[0032] The detection device 40 transmits the acquired analog or digital sensing signals back to the control host 11 for processing, so that the sensing information can be accurately aligned with the operation commands of the motion controller 30 on the time axis, thereby serving as the basis for the system 10 to determine the authenticity of care records and cross-validate execution data.

[0033] like Figure 2 and Figure 3 As shown, in this embodiment, the intelligent networked care monitoring and management system 10 is applied to the folding bed frame assembly 20. The folding bed frame assembly 20 mainly includes a base frame 21, at least one drive cylinder 22, and a block mattress assembly 25. The base frame 21 includes an outer frame 210 and a support frame 211, which are used to support the overall bed frame structure and provide the mounting base for each component. The drive cylinder 22 is located between the base frame 21 and the movable bed frame part, and is electrically or signal-connected to the motion controller 30, so that the drive cylinder 22 can extend and retract according to the control command to drive the bed frame to perform lifting, flipping, or other posture adjustment actions.

[0034] The modular mattress assembly 25 is mounted on the base frame 21 and includes at least one modular frame 26 and a modular mattress 27 mounted thereon, so that the mattress can be adjusted synchronously according to the posture of the bed frame to provide support for the person being cared for.

[0035] Therefore, this application constitutes a smart networked care monitoring and management system that can detect the status of the person being cared for and monitor the actions of the caregiver.

[0036] The operational process of this invention in actual use is as follows: Please see Figures 1-4 As shown, when the smart networked care monitoring and management system 10 is started, the control host 11 first completes the communication initialization of each module, including the human-machine interface 12, identification sensor 15, memory module 16, remote output unit 18, alarm element 19, motion controller 30 and detection device 40, in order to establish the basic operating state of the system.

[0037] When actual caregiving begins, caregivers can select or set a predetermined care scenario mode through the human-machine interface 12 of the system 10. This care scenario mode can correspond to a specific posture adjustment procedure or caregiving procedure, such as patting the back or feeding orally. After receiving the operation command, the control host 11 sends a corresponding control command to the motion controller 30 according to the selected scenario mode, causing it to drive the drive cylinder 22 of the folding bed frame assembly 20 to perform posture adjustment or other corresponding caregiving actions. For example, the motion controller 30 drives the drive cylinder 22 of the folding bed frame assembly 20 to adjust the block mattress assembly 25 to a preset posture (e.g., Figure 4 As shown, the back is raised 30 to 45 degrees; on the other hand, the identification sensor 15 and the detection device 40 are simultaneously activated, entering a high-frequency data monitoring state. While the folding bed frame assembly 20 performs the aforementioned posture adjustment or care actions, the detection device 40 continuously acquires the operating status of the folding bed frame assembly 20 and the relevant status information of the person being cared for, and transmits the acquired sensing signals back to the control host 11 in real time or periodically. This sensing information can reflect whether the person being cared for is in bed, whether their posture has changed, and changes in related physiological or environmental conditions.

[0038] During system operation, the identification sensor 15 uses millimeter-wave radar or image recognition technology to capture the dynamic spatial features around the folding bed frame assembly 20 in real time. The control host 11 extracts features from the signals returned by the identification sensor 15 to determine the positional relationship between the caregiver and the person being cared for (e.g., whether the distance is ≤50cm) and specific operating gestures. At the same time, the detection device 40 collects information such as the physiological signs of the person being cared for, the pressure distribution of prolonged lying down, or the diaper moisture, and performs time-series alignment with the action information of the motion controller 30 and the status feedback signals of the detection device 40.

[0039] The control host 11 compares the output mode of the motion controller 30 (proving that the bed has been turned over) with the status feedback of the detection device 40 (proving that the position of the person being cared for has actually changed), and supplements it with the behavioral characteristics obtained by the identification sensor 15 (proving that the person is indeed present and performing hand tremor actions such as patting the back). If the system comparison finds that the data does not match (for example, the back-patting mode is activated but the identification sensor does not detect the presence of the person), the control host 11 determines that the care is abnormal or inactive, and immediately triggers the alarm element 19 to issue a reminder message, which is then notified to the main management personnel or the family members of the person being cared for through the remote output unit 18.

[0040] The control host 11 can synchronously or asynchronously transmit the care history records stored in the memory module 16 to an external management platform or remote terminal device through the remote output unit 18 according to a predetermined schedule or management needs, for centralized management, long-term storage, or subsequent system integration applications. The management end can use this to perform hierarchical management and quality auditing, and further integrate the data into the medical institution's ERP or NIS system to achieve big data-driven precision care management.

[0041] As described above, the intelligent networked care monitoring and management system of the present invention integrates the motion control of care equipment, the status detection of the person being cared for, and the behavior recognition mechanism of caregivers. This enables the electric bed or turning-over assistive bed to simultaneously generate a time-series-related care process record when performing various care actions. By cross-referencing the bed frame motion information, the status information obtained by the sensing device, and the spatial and behavioral characteristics captured by the identification sensor, the system effectively avoids the record distortion problem that may occur when relying solely on equipment actions as the basis for care completion. This data cross-verification mechanism can effectively identify whether the person is indeed present and performing compliant actions (such as the frequency of back patting or feeding posture), completely solving the shortcomings of handwritten records being distorted and unable to verify care behaviors.

[0042] Meanwhile, this architecture not only reduces reliance on manual entry for care records but also enhances the traceability and verifiability of care operations. This allows management to conduct care quality management and clarify responsibilities, enabling the implementation of care quality audits and reducing care deficiencies and staff absenteeism. Furthermore, through networking and centralized data management mechanisms, the care process data generated by the system can be stored long-term for subsequent retrieval and integration, further strengthening the application value of existing care equipment in practical management.

[0043] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0044] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to the above embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0045] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A smart networked care monitoring and management system, characterized in that, include: A care device, wherein the care device has a posture adjustment function; The control host is used to receive, process, and integrate control and sensing information in the system. The identification sensor is electrically connected to the control host and is used to acquire spatial feature data within a predetermined range of the care equipment. The spatial feature data includes the location information and behavioral characteristics of the caregiver. An action controller is electrically or signal-connected to the care equipment. The control host controls the action controller to drive the care equipment to perform posture adjustments or corresponding care actions. A detection device, which is electrically connected to a control host, is configured on the care equipment and is used to collect the status information of the person being cared for on the care equipment; The control host performs a spatiotemporal synchronous logical comparison of the operating mode of the motion controller, the status feedback signal of the detection device, and the spatial and behavioral characteristics of the identification sensor, thereby determining whether the caregiver is actually present to perform the corresponding care work in a specific situation.

2. The intelligent networked care monitoring and management system according to claim 1, characterized in that, The care device is a folding bed frame assembly, which includes a base frame, at least one drive cylinder, and a block mattress assembly. The block mattress assembly is located above the base frame, and the motion controller controls the drive cylinder to drive the folding bed frame assembly to perform lifting, flipping, or posture adjustment actions.

3. The intelligent networked care monitoring and management system according to claim 1, characterized in that, The control host is connected to a memory module, which is used to store care history data generated during the care activities performed by the care equipment.

4. The intelligent networked care monitoring and management system according to claim 1, characterized in that, The control host is electrically connected to a human-machine interface, which is used to provide care mode settings, status queries, or scenario mode selection.

5. The intelligent networked care monitoring and management system according to claim 1, characterized in that, The identification sensor is at least one of a radar wave sensing element, an image sensing element, or a non-contact sensing element, and the identification sensor is used to acquire spatial feature data around the care device.

6. The intelligent networked care monitoring and management system according to claim 1, characterized in that, It also includes a remote output unit, which is electrically connected to the control host. The remote output unit transmits care history data to an external management platform or remote terminal device via wired or wireless communication for querying, management or system integration applications.

7. The intelligent networked care monitoring and management system according to claim 1, characterized in that, It also includes a warning element, which is electrically connected to the control host. When the control host determines that it has not obtained the corresponding caregiver's operation behavior information in a specific care situation, the warning element is used to provide a warning in the form of sound, light, or message.

8. The intelligent networked care monitoring and management system according to claim 1, characterized in that, The status information includes at least one of the following: bed exit detection information, prolonged bed rest pressure monitoring information, urine bag fluid level information, diaper humidity information, vital signs information, blood oxygen saturation, or ambient temperature and humidity.

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