CN111993442B - High-intelligence general medical practice robot based on big data - Google Patents
High-intelligence general medical practice robot based on big data Download PDFInfo
- Publication number
- CN111993442B CN111993442B CN202010908601.8A CN202010908601A CN111993442B CN 111993442 B CN111993442 B CN 111993442B CN 202010908601 A CN202010908601 A CN 202010908601A CN 111993442 B CN111993442 B CN 111993442B
- Authority
- CN
- China
- Prior art keywords
- treatment cycle
- event
- information
- patient
- interface element
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J11/00—Manipulators not otherwise provided for
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14539—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring pH
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/44—Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails
- A61B5/441—Skin evaluation, e.g. for skin disorder diagnosis
- A61B5/445—Evaluating skin irritation or skin trauma, e.g. rash, eczema, wound, bed sore
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Molecular Biology (AREA)
- General Health & Medical Sciences (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Veterinary Medicine (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Pathology (AREA)
- Public Health (AREA)
- Cardiology (AREA)
- Dermatology (AREA)
- Robotics (AREA)
- Mechanical Engineering (AREA)
- Optics & Photonics (AREA)
- Vascular Medicine (AREA)
- Physiology (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The invention provides a big data-based high-intelligent general medical treatment execution robot, which comprises a detection device, a regulation and control device, a controller, a communication transmission device and a database, wherein the detection device is constructed for detecting the symptoms of a patient and transmitting the data with the database through the communication transmission device; the regulation and control device is used for regulating and controlling various emergency situations, regulating the coordination among various departments and generating corresponding reports; the detection device, the regulation and control device, the communication transmission device and the database are respectively connected with the controller in a control mode. According to the invention, the integral regulation and control of the hospital is carried out through the regulation and control device according to the critical condition of the patient, so that the patient can be treated efficiently, the delay of the state of the patient due to time delay is prevented, the data is shared or called with an external control center, and the robot can be allocated reasonably and efficiently according to the current data.
Description
Technical Field
The invention relates to the technical field of intelligent medical auxiliary equipment, in particular to a high-intelligence general medical operation robot based on big data.
Background
Most health detection devices are single-function detection instruments, or although some detection instruments with basic detection functions are integrated, the detected data information cannot be analyzed due to the fact that the detected data information cannot be shared; therefore, the system can only give simple single detection data to inform the user, and does not have the functions of systematically and integrally managing, analyzing, guiding and the like the user data information
For example, CN205215184U prior art discloses an intelligent diagnosis expert system in traditional Chinese medicine, which comprises an image acquisition subsystem and a pulse detection subsystem, and realizes the combination of tongue diagnosis, facial diagnosis and pulse diagnosis. The system can comprehensively analyze the obtained information and give out auxiliary treatment suggestions. Another typical life maintenance mode, brain suppression method and personal health information platform disclosed in the prior art of WO2015070634a1, and an information management system and information management server disclosed in the prior art of US20080208480a1, the body includes a touch display screen, an audio/video component, a payment component, a certificate printing component, a communication component and a control system, etc. to some extent, the body can realize mobile and portable operations. But the method has the defects that a cloud service platform for overall management of data and services is lacked, so that the functional content is single and cannot be expanded; data isolated islands cannot be interconnected and communicated, and artificial secondary synchronous workload is additionally increased.
The invention aims to solve the problems that the defects of insufficient diagnosis and treatment capacity, the lack of capacity of comprehensively and systematically analyzing the diseases of patients, the failure of fully mobilizing the resources of various medical devices, the lack of information integration and the like generally exist in the field.
Disclosure of Invention
The invention aims to provide a high-intelligent general medical treatment execution robot based on big data, aiming at the defects of the existing intelligent medical auxiliary equipment, and finding a set of practical and quick communication, quick detection, strong diagnosis and treatment capability and strong information integration capability through a large number of researches.
In order to overcome the defects of the prior art, the invention adopts the following technical scheme:
a big data based highly intelligent general medical practice robot, comprising a detection device, a regulation device, a controller, a communication transmission device and a database, wherein the detection device is configured to detect the occurrence of symptoms of a patient and transmit the data to the database through the communication transmission device; the regulation and control device is used for regulating and controlling various emergency situations, regulating the cooperation among various departments and generating corresponding reports; the detection device, the regulation and control device, the communication transmission device and the database are respectively in control connection with the controller.
Optionally, the regulating device includes: a touch-enabled display device, a device for displaying emergency events, a processor, an event data store, a communications interface, the controller being structured with executable instructions that, in response to execution by the plurality of processors, cause the computing device to: presenting a first modal interface element to collect an information guide defining care and closing the modal interface element after collecting the information; in response to detecting actuation of an event-initiating interface element, presenting a non-modal interface to manage and record event information, wherein the content of the non-modal interface element is determined by at least one of the care guidelines; and storing the collected information in event records in an event data store, the information defining at least one care guideline including at least one of: patient weight, an indication of whether compression is being performed, and an indication of whether the patient is pediatric.
Optionally, the detection apparatus comprises an analog container for receiving the lumen of the implantable medical device, a pump, a camera, and a signal processor; a pump in fluid communication with the simulated vessel configured to pump fluid through the simulated vessel in a pulsating flow of a pressure cycle; the camera is configured to capture a series of images of an implantable medical device; said signal processor attached to a camera for receiving, storing and processing a sequence of images; wherein said signal processor processes the sequence of images to select a set of images taken at selected times in the pressure cycle of the pulsatile flow; wherein the signal processor processes the set of images to identify a condition of the patient.
Optionally, the communication transmission device includes a collection unit, a status indication mechanism, a paging mechanism, and a queuing mechanism, where the collection unit is configured to collect each data detected by the detection device, collect an indication signal of the status indication mechanism, respond to a paging operation of the paging system, and perform queuing operation based on the queuing mechanism of the medical institution; the state indicating mechanism is configured to divide the degree of crisis of the patient and perform paging operation or queuing according to a set rule based on the degree of crisis; the paging mechanism is configured to page a patient's condition and respond to a department's wait or preparation based on a corresponding page; the queuing mechanism is constructed to perform queuing operations based on a hospital queuing system; the controller generates a corresponding detection list corresponding to the operation of the communication transmission device and stores the detection list in response to the database.
Optionally, the instructions further cause the computing device to: in response to detecting actuation of the tip interface element: presenting a second modality interface element to collect management information; establishing connection with an electronic medical record server through a communication interface; and sending the event record to an electronic medical record server, the instructions further causing the computing device to track a treatment period; the tracking of the treatment cycle comprises: starting a treatment cycle timer; and starting a treatment cycle timer, incrementing a treatment cycle counter, and providing a treatment cycle counter; the treatment cycle timer and a treatment cycle remaining time indicator based on the treatment cycle timer;
the tracking the treatment cycle further comprises: presenting a modality alert upon detecting that the therapy cycle timer has reached a predetermined time;
tracking the treatment cycle further comprises: detecting a start of a subsequent treatment cycle, incrementing a treatment cycle counter, resetting a treatment cycle timer, and a treatment cycle remaining time indicator, the treatment cycle being for a set dose of epinephrine, and wherein the modality alarm indicates an amount of time elapsed since a previous epinephrine dose.
Optionally, the controller is configured to perform actions for managing and recording actions during an emergency care event, the actions comprising: presenting a first modal interface element to collect information defining at least one care guideline and closing the modal interface element after collecting the information; in response to detecting actuation of an event-initiating interface element, presenting a non-modal interface to manage and record event information, wherein content of the non-modal interface element is determined by the at least one care guideline; and storing the collected information in an event record in an event data store.
Optionally, presenting the workflow interface includes: presenting an ordered list of workflow steps; and detecting actuation of the completion interface element of the first workflow step in the ordered list of workflow steps; inserting information related to the first workflow step into the event record; the first workflow step is deleted from the ordered list of workflow steps.
The beneficial effects obtained by the invention are as follows:
1. the hospital is integrally regulated and controlled by the regulating and controlling device according to the critical condition of the patient, so that the patient can be treated efficiently, delay of the state of the patient due to time delay is prevented, data is shared or called with an external control center, and the robot can be reasonably and efficiently allocated according to the current data;
2. the nursing guide is pre-arranged in the database, so that the robot can process according to the steps in the nursing guide, and the regulating and controlling device is used for carrying out right-facing processing on each disease in the database, so that the quality of the patient receiving and diagnosing and the accuracy of the diagnosis are improved;
3. wirelessly mirroring or transmitting other interfaces to another display device, a large format monitor or projection screen, through an interface on the touch-enabled display device, such that the entire care team views the large size display screen for viewing timers, alarms, timelines and other interface elements without querying the recording user's status;
4. the whole body position of the patient is monitored in real time by adopting the regulating and controlling device, so that the adaptability adjustment of the medicament use or the application force can be ensured in various first-aid operations;
5. the safety connection is protected through one or more passwords or multi-factor authentication, so that the safety of the electronic medical record and the electronic server is effectively ensured through the physical connection between the emergency care management equipment and the electronic medical record server or the computing equipment capable of communicating with the electronic medical record server.
Drawings
The invention will be further understood from the following description in conjunction with the accompanying drawings. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the embodiments. Like reference numerals designate corresponding parts throughout the different views.
Fig. 1 is a schematic structural diagram of the robot.
Fig. 2 is a schematic structural diagram of the simulated container.
FIG. 3 is a control flow diagram of the present invention.
Fig. 4 is a schematic control flow diagram of the regulating device.
Fig. 5 is a schematic control flow diagram of the detection device.
Fig. 6 is a schematic control flow diagram of the same-polarity conveying device.
The reference numbers illustrate: 1-a display device; 2-a simulated container; 3-hand part; 4-robot.
Detailed Description
In order to make the objects and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the following embodiments; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. Other systems, methods, and/or features of the present embodiments will become apparent to those skilled in the art upon review of the following detailed description. It is intended that all such additional systems, methods, features and advantages be included within this description, be within the scope of the invention, and be protected by the accompanying claims. Additional features of the disclosed embodiments are described in, and will be apparent from, the detailed description that follows.
The same or similar reference numerals in the drawings of the embodiments of the present invention correspond to the same or similar components; in the description of the present invention, it should be understood that if there is an orientation or positional relationship indicated by the terms "upper" and "lower" and "left" and "right" etc., it is only for convenience of description and simplification of the description based on the orientation or positional relationship shown in the drawings, but it is not indicated or implied that the device or assembly referred to must have a specific orientation.
The first embodiment is as follows: a big data based highly intelligent general medical practice robot, comprising a detection device, a regulation device, a controller, a communication transmission device and a database, wherein the detection device is configured to detect the occurrence of symptoms of a patient and transmit the data to the database through the communication transmission device; the regulation and control device is used for regulating and controlling various emergency situations, regulating the cooperation among various departments and generating corresponding reports; the detection device, the regulation and control device, the communication transmission device and the database are respectively in control connection with the controller; the regulating device comprises: a touch-enabled display device 1, a device for displaying emergency events, a processor, an event data store, a communications interface, the controller being structured with executable instructions that, in response to execution by the plurality of processors, cause the computing device to: presenting a first modal interface element to collect an information guide defining care and closing the modal interface element after collecting the information; in response to detecting actuation of an event-initiating interface element, presenting a non-modal interface to manage and record event information, wherein the content of the non-modal interface element is determined by at least one of the care guidelines; and storing the collected information in event records in an event data store, the information defining at least one care guideline including at least one of: patient weight, an indication of whether compression is being performed, and an indication of whether the patient is pediatric; the detection device comprises a simulation container 2, a pump, a camera and a signal processor, wherein the simulation container 2 is used for receiving an inner cavity of the implantable medical equipment; a pump in fluid communication with the simulation vessel 2 is configured for pumping fluid through the simulation vessel 2 in a pulsating flow of a pressure cycle; the camera is configured to capture a series of images of an implantable medical device; said signal processor attached to a camera for receiving, storing and processing a sequence of images; wherein said signal processor processes the sequence of images to select a set of images taken at selected times in the pressure cycle of the pulsatile flow; wherein the signal processor processes the set of images to identify a condition of the patient; the communication transmission device comprises a collection unit, a state indication mechanism, a paging mechanism and a queuing mechanism, wherein the collection unit is configured to collect each data detected by the detection device, collect an indication signal of the state indication mechanism, respond to the paging operation of the paging system and perform queuing operation based on the queuing mechanism of the medical institution; the state indicating mechanism is configured to divide the degree of crisis of the patient and perform paging operation or queuing according to a set rule based on the degree of crisis; the paging mechanism is configured to page a patient's condition and respond to a department's wait or preparation based on a corresponding page; the queuing mechanism is constructed to perform queuing operations based on a hospital queuing system; the controller generates a corresponding detection list corresponding to the operation of the communication transmission device and responds to the database for storage; the instructions further cause the computing device to: in response to detecting actuation of the tip interface element: presenting a second modality interface element to collect management information; establishing connection with an electronic medical record server through a communication interface; and sending the event record to an electronic medical record server, the instructions further causing the computing device to track a treatment period; the tracking of the treatment cycle comprises: starting a treatment cycle timer; and starting a treatment cycle timer, incrementing a treatment cycle counter, and providing a treatment cycle counter; the treatment cycle timer and a treatment cycle remaining time indicator based on the treatment cycle timer; the tracking the treatment cycle further comprises: presenting a modality alert upon detecting that the therapy cycle timer has reached a predetermined time; tracking the treatment cycle further comprises: detecting a start of a subsequent treatment cycle, incrementing a treatment cycle counter, resetting a treatment cycle timer, and a treatment cycle remaining time indicator, the treatment cycle being for a set dose of epinephrine, and wherein the modality alert indicates an amount of elapsed time since a previous epinephrine dose; the controller is configured to perform actions for managing and recording actions during an emergency care event, the actions comprising: presenting a first modal interface element to collect information defining at least one care guideline and closing the modal interface element after collecting the information; in response to detecting actuation of an event-initiating interface element, presenting a non-modal interface to manage and record event information, wherein content of the non-modal interface element is determined by the at least one care guideline; and storing the collected information in an event record in an event data store; presenting a workflow interface includes: presenting an ordered list of workflow steps; and detecting actuation of the completion interface element of the first workflow step in the ordered list of workflow steps; inserting information related to the first workflow step into the event record; the first workflow step is deleted from the ordered list of workflow steps.
Example two: the present embodiment should be understood to include at least all the features of any one of the embodiments described above and to further improve on the same, and in particular to provide a big data based highly intelligent general medical practice robot, which comprises a detection device, a control device, a controller, a communication transmission device and a database, wherein the detection device is configured to detect the occurrence of symptoms of a patient and transmit the data to the database through the communication transmission device; the regulation and control device is used for regulating and controlling various emergency situations, regulating the cooperation among various departments and generating corresponding reports; the detection device, the regulation and control device, the communication transmission device and the database are respectively in control connection with the controller; specifically, in this embodiment, the detection device and the control device are used cooperatively to provide a diagnosis function for an emergency or an initial diagnosis of a patient, and in addition, the whole robot 4 interacts with the human machine of the patient to enable the patient to be quickly treated in real time or provide a diagnosis aid according to corresponding symptoms, in this embodiment, the robot 4 can also integrally control the hospital according to the critical condition of the patient to ensure that the patient can be efficiently treated, so as to prevent delay of the patient's condition due to delay of time, in this embodiment, the controller further shares or calls data with an external control center to ensure that the robot 4 can reasonably and efficiently allocate the current data, in addition, in this embodiment, a large amount of common databases for the patient's symptoms are stored in the databases, ensuring that the detection means detects symptoms similar to those in the database, a list of suspicions is generated for diagnosis by the attending physician, minimizing undue reliance on the physician, while also incorporating the diagnosis of the physician's experience; the detection device, the regulation and control device, the communication transmission device and the database are respectively in control connection with the controller, and centralized analysis is carried out on the data allocated by the controller or linked with the outside, so that the detection data of each patient can be rapidly detected to ensure the whole diagnosis or treatment process; in this embodiment, the robot 4 generates a corresponding processing report when making any decision, so as to perform an operation of checking the operation of the robot 4;
the regulating device comprises: a touch-enabled display device 1, a device for displaying emergency events, a processor, an event data store, a communications interface, the controller being structured with executable instructions that, in response to execution by the plurality of processors, cause the computing device to: presenting a first modal interface element to collect an information guide defining care and closing the modal interface element after collecting the information; in response to detecting actuation of an event-initiating interface element, presenting a non-modal interface to manage and record event information, wherein the content of the non-modal interface element is determined by at least one of the care guidelines; and storing the collected information in event records in an event data store, the information defining at least one care guideline including at least one of: patient weight, an indication of whether compression is being performed, and an indication of whether the patient is pediatric; specifically, in this embodiment, the worker puts the care guideline in the database in advance, so that the robot 4 can process the care guideline according to the steps in the care guideline, and the regulation and control device performs right-facing processing on each disease in the database, thereby improving the quality of the patient receiving and diagnosing and the accuracy of the diagnosis; in this embodiment, the simplified and touch-enabled user interface element allows various events to be selected and quickly entered into the event record; in this embodiment, the care guideline is programmed into the computing device and used by the computing device to instruct the care team to complete steps for various actions to ensure compliance with the care guideline is as close as possible; in this embodiment, the timer of the care event is automatically tracked by the computing device and an alert is automatically generated to further improve compliance with the time-based care guideline; the emergency nursing management equipment is communicated with the electronic medical record server through a network; in the present embodiment, the network includes one or more wireless networks using any available wireless communication technology, including but not limited to Wi-Fi, 2G, 3G, 4G, LTE, and Bluetooth; in the present embodiment, the network includes one or more wired networks using any available wired communication technology, including but not limited to Ethernet, USB, and the Internet; the electronic medical record server comprises one or more computing devices configured to store healthcare-related information, such as patient identity, vital signs, symptoms, treatments, medications, and demographic information; in this embodiment, instead of communicating directly with the electronic medical record server, the emergency care management device communicates with an intermediate staging server that receives event records from the emergency care management device via a network and then sends the event records; comprises a touch-enabled display device 1 and a communication interface; the touch-enabled display device 1 displays an interface generated by the emergency care management device, registers one or more locations being touched by a user, and provides the touched locations to other components of the emergency care management device as input data; in the present embodiment, the touch-enabled display device 1 records not only the location of the touch, but also the amount of force used; in this embodiment, the communication interface includes one or more wireless network interfaces configured to communicate via a network; in this embodiment, the communication interface includes one or more wired interfaces configured to communicate therewith via a network, or directly with another computing device that will relay information to the electronic medical record server via a network; in this embodiment, the emergency care management device is configured to wirelessly mirror or transmit the interface presented on the touch-enabled display device 1 to another display device 1, such as a large format monitor or projection screen, so that the entire care team navigates through the large size display screen to view timers, alarms, timelines and other interface elements without asking the status of the recording user; the emergency care management apparatus shown further comprises a plurality of engines including a user interface management engine, a workflow presentation engine, a timeline management engine, a management data engine, an order management engine, an alert generation engine, and a period management engine;
the user interface management engine is configured to generate an overall user interface for directing care events and recording information; the workflow presentation engine in this embodiment is configured to provide functionality for directing and recording actions, including a series of steps that should each be performed in a specified order; the timeline management engine in this embodiment is configured to receive information about events and to display and manage a timeline view of the event information; the management data engine in this embodiment is configured to record and manage management information describing emergency care events that do not reflect the particular treatment provided; the merchant order management engine in this embodiment is configured to record orders for medications, treatments, and other items, and track when/if the ordered items are actually managed; the order management engine in this embodiment is further configured to track ordered items that have not yet been managed to help ensure that they have not been forgotten; the ordered goods include, but are not limited to, the following listed several situations: pharmaceutical, care equipment, meal or personal items; additionally, the alert generation engine is configured to receive information from other components of the emergency care management device to generate visual, audible, tactile or other alerts and, where appropriate, to generate such alerts; the cycle management engine in this embodiment is configured to track treatments performed in timed cycles according to guidelines and present information to assist in adherence to the cycle timing guidelines; in this embodiment, the control device further monitors the position of the whole body of the patient in real time, so as to ensure that the adjustment of the use of the medicament or the application force can be adaptively performed in various emergency operations;
the detection device comprises a simulation container 2, a pump, a camera and a signal processor, wherein the simulation container 2 is used for receiving an inner cavity of the implantable medical equipment; a pump in fluid communication with the simulation vessel 2 is configured for pumping fluid through the simulation vessel 2 in a pulsating flow of a pressure cycle; the camera is configured to capture a series of images of an implantable medical device; said signal processor attached to a camera for receiving, storing and processing a sequence of images; wherein said signal processor processes the sequence of images to select a set of images taken at selected times in the pressure cycle of the pulsatile flow; wherein the signal processor processes the set of images to identify a condition of the patient; specifically, in the present embodiment, the robot 4 can know the state of the patient by detecting parameters such as blood pressure of the patient, and in the present embodiment, the detection parameters of the detection device include, but are not limited to, the following several conditions: blood pressure, saturation, consciousness state, presence or absence of trauma, etc.; in particular, the time chosen is the moment of simulation of the highest fluid pressure in the internal cavity of the container 2 during the pressure cycle; the images in the set of images comprise asynchronous images; capturing each image of the set of images after a selected time interval has elapsed after capturing a previous image; wherein the selected time interval is less than or greater than the length of the pressure cycle; the signal processor selecting a subset of the set of images by selecting images from the set of images that are separated by a selected number of intermediate images; the signal processor generating a video from a subset of the set of images, a sequence of images comprising asynchronous images and synchronous images; capturing each image of the set of images when the pressure in the internal cavity of the simulated container 2 is greater than a high pressure threshold; a pressure indicator light in the field of view of the camera, the pressure indicator light configured to illuminate when the pressure in the internal cavity of the simulated container 2 is greater than the high pressure threshold; the signal processor processing each image of the set of images to detect features of at least one edge of the implantable medical device and comparing the features to features of edges detected in previous images in the sequence of images; the feature of each edge of the implantable medical device is the slope of a line fitting to the edge of the implantable medical device; the characteristic of each edge is the distance from a point on the edge to a point on the other edge; the signal processor processing each image of the set of images to detect at least one width measurement of the implantable medical device and comparing the at least one width measurement to width measurements detected in previous images in the set of images; at least one of the width measurements is measured by selecting a line of pixels from the image and identifying the outermost pixels in the line of pixels that represent structure of the implantable medical device; in this embodiment, nesting with the hand 3 within the cavity enables the hand 3 of the patient to be nested;
the implantable medical device is a sphygmomanometer, and the structure of the implantable medical device is a wire assembly of the sphygmomanometer; the signal processor processing each image to measure at least one characteristic of the implantable medical device for a plurality of rows of pixels in the image; the at least one feature of each line of the plurality of lines in each image comprises: a position representing a left outermost pixel of the implantable medical device; or represents a location representing a right outermost pixel of the implantable medical device; the signal processor calculating an average value for each feature for each image; the signal processor calculating a slope intercept formula for the at least one feature for at least two rows of pixels in each image; the signal processor identifying a change in a slope intercept formula for a subsequent image in the sequence of images as a malfunction of the implantable medical device;
the signal processor selecting a search region in each image in the sequence of images and measuring a characteristic of the implantable medical device in the search region; the implantable medical device is characterized by a number of pixels in the search area representing a structure of the implantable medical device; the sphygmomanometer comprises a detection port formed by a silk screen, and the detection port is configured to select a pixel representing the deformation quantity of the silk screen in each image for the signal processor; the signal processor locating discontinuities in pixels representing the mesh to identify pressure values of the sphygmomanometer; the signal processor calculating differences between pixels representing the mesh in a plurality of images in the sequence of images to identify a failure of the implantable medical device;
in addition, in this embodiment, a detection method for detecting blood pressure is further provided, where the detection method includes: the method comprises the following steps: deploying the implantable medical device in a lumen of the simulated vessel; connecting the inner cavity of the simulation container 2 to a pump; pumping fluid through the simulation vessel 2 in a pulsating flow having a pressure cycle; capturing a sequence of images of an implantable medical device; selecting a set of images from a sequence of images, wherein each image is captured at a selected time in a pressure cycle; processing the image using a signal processor to identify the occurrence of a fault event; each image in the sequence of images is captured at the selected time; each image in the sequence of images is captured at the selected time;
the communication transmission device comprises a collection unit, a state indication mechanism, a paging mechanism and a queuing mechanism, wherein the collection unit is configured to collect each data detected by the detection device, collect an indication signal of the state indication mechanism, respond to the paging operation of the paging system and perform queuing operation based on the queuing mechanism of the medical institution; the state indicating mechanism is configured to divide the degree of crisis of the patient and perform paging operation or queuing according to a set rule based on the degree of crisis; the paging mechanism is configured to page a patient's condition and respond to a department's wait or preparation based on a corresponding page; the queuing mechanism is constructed to perform queuing operations based on a hospital queuing system; the controller generates a corresponding detection list corresponding to the operation of the communication transmission device and responds to the database for storage; specifically, the collection unit and the state indicating mechanism are matched for use, so that each department can be efficiently matched for use; in this embodiment, the collecting unit is configured to allocate unused resources of the whole hospital uniformly, specifically, the server is in data connection with the robot 4, so that the server connects a required instruction with the server by means of an application form, the server responds to the application form, responds to the doctor on duty or nurse on duty based on the response of the paging mechanism and the queuing mechanism, and triggers medical response inside the hospital based on the insertion of queuing operation of the queuing mechanism or operating room; in this embodiment, after the robot 4 detects the criticality of the patient, the queuing mechanism queues the patient for drinking, so as to ensure that the patient can be properly placed; in addition, the queuing mechanism carries out successive treatment according to the queuing sequence under the emergency condition; in the application of the robot 4 to queuing, the robot 4 needs to send an application to a server or a central controller and perform queuing or queue-inserting operation by the server or the central controller; in this embodiment, the monitoring device and the monitoring device are further configured to cooperate with each other to detect a diseased position of the patient and trigger a detection operation of the monitoring device or the detection device;
the instructions further cause the computing device to: in response to detecting actuation of the tip interface element: presenting a second modality interface element to collect management information; establishing connection with an electronic medical record server through a communication interface; and sending the event record to an electronic medical record server, the instructions further causing the computing device to track a treatment period; the tracking of the treatment cycle comprises: starting a treatment cycle timer; and starting a treatment cycle timer, incrementing a treatment cycle counter, and providing a treatment cycle counter; the treatment cycle timer and a treatment cycle remaining time indicator based on the treatment cycle timer; the tracking the treatment cycle further comprises: presenting a modality alert upon detecting that the therapy cycle timer has reached a predetermined time; tracking the treatment cycle further comprises: detecting a start of a subsequent treatment cycle, incrementing a treatment cycle counter, resetting a treatment cycle timer, and a treatment cycle remaining time indicator, the treatment cycle being for a set dose of epinephrine, and wherein the modality alert indicates an amount of elapsed time since a previous epinephrine dose; in addition, in this embodiment, the monitoring device further includes an electronic medical record server configured to invoke data collected or recorded in the database, the electronic medical record server configured to construct the medical record to ensure that the medical record or treatment record of the patient can be recorded if not included in the electronic medical record; managing and recording treatment cycle items provides an interface to guide and record treatment initiation; after the start of the treatment is recorded, the amount of time since the start is tracked so that an alarm is raised at the appropriate time to start a new treatment cycle; a number of treatment cycles that have been performed are also tracked; in this embodiment, either placed into the computer or the database is used to guide and record administration of cardiopulmonary resuscitation, with some guidelines indicating that the compression provider should be changed every two minutes for optimal efficacy, while other guidelines suggest that treatment decisions should be made based on the number of cardiopulmonary resuscitation cycles to be performed to ensure proper and actual administration of medication, such as epinephrine;
additionally, the cycle management engine provides information to an alert generation engine to create at least one alert associated with a treatment cycle; in this embodiment, the information may include a time at which the cycle begins and a cycle duration from which the alert generation engine may determine a time at which the alert should be presented; in this embodiment, the information may include the time at which the alarm should be presented as determined by the cycle management engine, but not the time at which the cycle started or the cycle duration; in this embodiment, the information may include a haptic pattern of messages to be presented with the alert and presented with the alert, an alert sound to be presented with the alert, or any other suitable information; at block, the cycle management engine presents a cycle timer, a cycle counter, and a cycle remaining time indicator; the controller is configured to perform actions for managing and recording actions during an emergency care event, the actions comprising: presenting a first modal interface element to collect information defining at least one care guideline and closing the modal interface element after collecting the information; in response to detecting actuation of an event-initiating interface element, presenting a non-modal interface to manage and record event information, wherein content of the non-modal interface element is determined by the at least one care guideline; and storing the collected information in an event record in an event data store; specifically, presenting the workflow interface includes: presenting an ordered list of workflow steps; and detecting actuation of the completion interface element of the first workflow step in the ordered list of workflow steps; inserting information related to the first workflow step into the event record; deleting the first workflow step from the ordered list of workflow steps; in particular, the user interface management engine is configured to generate a general user interface for guiding care events and recording information in this embodiment, the workflow presentation engine is operated in the course of operating the workflow interface, the workflow presentation engine is configured to provide functionality for guiding and recording actions, the actions include a series of steps that should be performed in a specified order, respectively; in the present embodiment, the timeline management engine is configured to receive information about events and to display and manage a timeline view of the event information; the management data engine is configured to record and manage management information describing emergency care events that do not reflect the particular treatment provided; in addition, the cooperation of the workflow engine and the order management engine facilitates the interaction between the robot 4 and the patient or between a nurse and a doctor, the nurse can check the order management engine record of the robot 4, and the doctor can also prescribe his or her own medication order according to the recorded medicine; the order management engine is configured to record orders for medications, treatments, and other items, and track when the ordered items are actually managed; in this embodiment, the order management engine is further configured to track ordered items that have not yet been managed to help ensure that they have not been forgotten; the presented interface includes various non-modal interface elements that can be used to gather information about actions that occurred during the event; along a top edge of the interface, indicating with color-coded interface elements care-related tasks that may be entered into the interface; upon activation of the camera, a photograph can be taken and added to the event log and/or timeline; one typical use of capturing a picture to be added to an event record is to record an image of a chart;
example three: the present embodiment should be understood to include at least all the features of any one of the foregoing embodiments, and further improvements are made on the basis of the foregoing embodiments, and in particular, an apparatus for electronic medical record security is provided, in which a communication interface of an emergency care management device establishes a secure connection to an electronic medical record server; in this embodiment, a secure connection may be established upon completion of the event logging; in this embodiment, a secure connection may not be established immediately after the event recording is completed, but may wait until the emergency care management device is within the communication range of the network, or a connection to the electronic medical record server can be established; in this embodiment, the secure connection may include an encrypted channel; in this embodiment, the secure connection is protected by one or more passwords or multi-factor authentication; in this embodiment, the secure connection may include a physical connection between the emergency care management device and the electronic medical record server or a computing device capable of communicating with the electronic medical record server; in this embodiment, instead of establishing a secure connection directly to the electronic medical record server, the emergency care management device may establish a secure connection to an intermediate computing device that collects the final event records for eventual transmission to the electronic medical record server; the communication interface sends the event record to the electronic medical record server; the transmission may include a cryptographic hash, signature, or other value that may be used to verify that the final event record has not changed; in response to receiving a confirmation receipt from the electronic medical record server indicating that the event record has been received, validated, and stored, the user interface management engine deletes the event record from the event data store at block; various benefits may be realized by deleting event records, increasing the available space in the event data store, and reducing the likelihood of exposing health-related information from old event records; the method then proceeds to an end block and terminates; the workflow item combines guidance and data collection for a task having a plurality of steps that should be performed according to treatment criteria; guide the operation and collect information about the delivery of a shock (e.g., a defibrillation shock) to the patient, preferably best performed by following a set of specific steps that may otherwise be difficult to follow, and accurately recorded in the crazy activity of an emergency care event; another beneficial aspect provided by the workflow presentation engine is that the completion of each workflow step can be automatically added to the timeline so that the exact time between each workflow step can be recorded for analysis when a check is made.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
In conclusion, according to the high-intelligence general medical practice robot based on big data, the whole hospital is controlled by the control device according to the critical condition of the patient, so that the patient can be treated efficiently, delay of the state of an illness due to time delay is prevented, data can be shared or called with an external control center, and the robot can be allocated reasonably and efficiently according to the current data; the nursing guide is pre-arranged in the database, so that the robot can process according to the steps in the nursing guide, and the regulating and controlling device is used for carrying out right-facing processing on each disease in the database, so that the quality of the patient receiving and diagnosing and the accuracy of the diagnosis are improved; wirelessly mirroring or transmitting other interfaces to another display device, a large format monitor or projection screen, through an interface on the touch-enabled display device, such that the entire care team views the large size display screen for viewing timers, alarms, timelines and other interface elements without querying the recording user's status; the whole body position of the patient is monitored in real time by adopting the regulating and controlling device, so that the adaptability adjustment of the medicament use or the application force can be ensured in various first-aid operations; the safety connection is protected through one or more passwords or multi-factor authentication, so that the safety of the electronic medical record and the electronic server is effectively ensured through the physical connection between the emergency care management equipment and the electronic medical record server or the computing equipment capable of communicating with the electronic medical record server.
Although the invention has been described above with reference to various embodiments, it should be understood that many changes and modifications may be made without departing from the scope of the invention. That is, the methods, systems, and devices discussed above are examples. Various configurations may omit, substitute, or add various procedures or components as appropriate. For example, in alternative configurations, the methods may be performed in an order different than that described, and/or various components may be added, omitted, and/or combined. Moreover, features described with respect to certain configurations may be combined in various other configurations, as different aspects and elements of the configurations may be combined in a similar manner. Further, elements therein may be updated as technology evolves, i.e., many elements are examples and do not limit the scope of the disclosure or claims.
Specific details are given in the description to provide a thorough understanding of the exemplary configurations including implementations. However, configurations may be practiced without these specific details, for example, well-known circuits, processes, algorithms, structures, and techniques have been shown without unnecessary detail in order to avoid obscuring the configurations. This description provides example configurations only, and does not limit the scope, applicability, or configuration of the claims. Rather, the foregoing description of the configurations will provide those skilled in the art with an enabling description for implementing the described techniques. Various changes may be made in the function and arrangement of elements without departing from the spirit or scope of the disclosure.
In conclusion, it is intended that the foregoing detailed description be regarded as illustrative rather than limiting, and that it be understood that these examples are illustrative only and are not intended to limit the scope of the invention. After reading the description of the invention, the skilled person can make various changes or modifications to the invention, and these equivalent changes and modifications also fall into the scope of the invention defined by the claims.
Claims (6)
1. A big data based high intelligent general medical practice robot is characterized by comprising a detection device, a regulation and control device, a controller, a communication transmission device and a database, wherein the detection device is configured to detect the occurrence symptoms of a patient and transmit data to the database through the communication transmission device; the regulation and control device is used for regulating and controlling various emergency situations, regulating the cooperation among various departments and generating corresponding reports; the detection device, the regulation and control device, the communication transmission device and the database are respectively in control connection with the controller;
wherein, the regulation and control device comprises: a touch-enabled display device, a device for displaying emergency events, a processor, an event data store, a communications interface, the controller being structured with executable instructions that, in response to execution by the plurality of processors, cause the computing device to: presenting a first modal interface element to collect an information guide defining care and closing the modal interface element after collecting the information; in response to detecting actuation of an event-initiating interface element, presenting a non-modal interface to manage and record event information, wherein the content of the non-modal interface element is determined by at least one information guide of the care; and storing the collected information in event records in an event data store, the information defining at least one care guideline including at least one of: patient weight, an indication of whether compression is being performed, and an indication of whether the patient is pediatric.
2. The big-data based highly intelligent general medical practice robot of claim 1 wherein said detection means comprises an analog receptacle for receiving the internal cavity of the implantable medical device, a pump, a camera and a signal processor; a pump in fluid communication with the simulated vessel configured to pump fluid through the simulated vessel in a pulsating flow of a pressure cycle; the camera is configured to capture a series of images of an implantable medical device; said signal processor attached to a camera for receiving, storing and processing a sequence of images; wherein said signal processor processes the sequence of images to select a set of images taken at selected times in the pressure cycle of the pulsatile flow; wherein the signal processor processes the set of images to identify a condition of the patient.
3. The big-data-based highly intelligent general medical practice robot according to claim 1, wherein the communication transmission device comprises a collection unit, a status indication mechanism, a paging mechanism and a queuing mechanism, the collection unit is configured to collect the data detected by the detection device, collect an indication signal of the status indication mechanism, respond to the paging operation of the paging mechanism and perform the queuing operation based on the queuing mechanism of the medical mechanism; the state indicating mechanism is configured to divide the degree of crisis of the patient and perform paging operation or queuing according to a set rule based on the degree of crisis; the paging mechanism is configured to page a patient's condition and respond to a department's wait or preparation based on a corresponding page; the queuing mechanism is constructed to perform queuing operations based on a hospital queuing system; the controller generates a corresponding detection list corresponding to the operation of the communication transmission device and stores the detection list in response to the database.
4. The big-data based highly intelligent general medical execution robot of claim 1, wherein the instructions further cause the computing device to: in response to detecting actuation of the tip interface element: presenting a second modality interface element to collect management information; establishing connection with an electronic medical record server through a communication interface; and sending the event record to an electronic medical record server, the instructions further causing the computing device to track a treatment period; the tracking of the treatment cycle comprises: starting a treatment cycle timer; and starting a treatment cycle timer, incrementing a treatment cycle counter, and providing a treatment cycle counter; the treatment cycle timer and a treatment cycle remaining time indicator based on the treatment cycle timer;
the tracking the treatment cycle further comprises: presenting a modality alert upon detecting that the therapy cycle timer has reached a predetermined time;
tracking the treatment cycle further comprises: detecting a start of a subsequent treatment cycle, incrementing a treatment cycle counter, resetting a treatment cycle timer, and a treatment cycle remaining time indicator, the treatment cycle being for a set dose of epinephrine, and wherein the modality alarm indicates an amount of time elapsed since a previous epinephrine dose.
5. The big-data based highly intelligent general medical practice robot of claim 1 wherein the controller is configured to perform actions for managing and recording actions during an emergency care event, the actions comprising: presenting a first modal interface element to collect information defining at least one care guideline and closing the modal interface element after collecting the information; in response to detecting actuation of an event-initiating interface element, presenting a non-modal interface to manage and record event information, wherein content of the non-modal interface element is determined by the at least one care guideline; and storing the collected information in an event record in an event data store.
6. The big-data based highly intelligent general medical execution robot of claim 1, wherein presenting a workflow interface comprises: presenting an ordered list of workflow steps; and detecting actuation of the completion interface element of the first workflow step in the ordered list of workflow steps; inserting information related to the first workflow step into the event record; the first workflow step is deleted from the ordered list of workflow steps.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010908601.8A CN111993442B (en) | 2020-09-02 | 2020-09-02 | High-intelligence general medical practice robot based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010908601.8A CN111993442B (en) | 2020-09-02 | 2020-09-02 | High-intelligence general medical practice robot based on big data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111993442A CN111993442A (en) | 2020-11-27 |
| CN111993442B true CN111993442B (en) | 2021-07-23 |
Family
ID=73465765
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010908601.8A Active CN111993442B (en) | 2020-09-02 | 2020-09-02 | High-intelligence general medical practice robot based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111993442B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113938622B (en) * | 2021-12-15 | 2022-02-15 | 慕思健康睡眠股份有限公司 | Blood pressure detection device based on asynchronously recorded video and storage medium |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006218178A (en) * | 2005-02-14 | 2006-08-24 | Omron Healthcare Co Ltd | Cuff for hemadynamometer and hemadynamometer |
| CN107038326B (en) * | 2016-02-03 | 2024-02-27 | 湖南暄程科技有限公司 | Multifunctional medical service system |
| CN107788958A (en) * | 2017-10-20 | 2018-03-13 | 深圳市前海安测信息技术有限公司 | medical monitoring robot and medical monitoring method |
| CN107752984A (en) * | 2017-11-15 | 2018-03-06 | 李玉东 | A kind of high intelligent general medical practice operation robot based on big data |
| CN111564208A (en) * | 2020-04-06 | 2020-08-21 | 南通一二轻锐数据科技有限公司 | Application method of doctor assistant robot |
-
2020
- 2020-09-02 CN CN202010908601.8A patent/CN111993442B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN111993442A (en) | 2020-11-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11963924B2 (en) | Tools for case review performance analysis and trending of treatment metrics | |
| US20190057776A1 (en) | System and method for facilitating delivery of patient-care | |
| JP7355826B2 (en) | Platform-independent real-time medical data display system | |
| US20120191476A1 (en) | Systems and methods for collection, organization and display of ems information | |
| CN111128333A (en) | One-stop intelligent diagnosis and intelligent medical management system | |
| US10311696B2 (en) | Patient monitoring method and system providing incident grouping of alarm events | |
| CN105830072A (en) | A unique methodology combining user roles and context aware algorithms for presenting clinical information, audio, video and communication controls to safely capture caregiver attention, reduce information overload, and optimize workflow and decision support | |
| WO2015054382A1 (en) | Systems and methods for verifying protocol compliance | |
| KR20140028929A (en) | Method and apparatus for personal health care using mobile terminal | |
| EP2929476B1 (en) | A method and system to reduce the nuisance alarm load in the clinical setting | |
| US10980417B2 (en) | Acute care eco system integrating customized devices of personalized care with networked population based management | |
| US11622734B2 (en) | Methods and systems for monitoring compliance | |
| EP2869228A1 (en) | Biological information monitor apparatus and central monitor | |
| US20210304881A1 (en) | Systems and methods of producing patient encounter records | |
| John et al. | Remote patient management in peritoneal dialysis: an answer to an unmet clinical need | |
| CN111993442B (en) | High-intelligence general medical practice robot based on big data | |
| CN113939794A (en) | Processing of periods of transmitted data in a medical device system | |
| US20180314801A1 (en) | Healthcare resource tracking system and method for tracking resource usage in response to events | |
| EP3839966A1 (en) | System for configuring patient monitoring | |
| US20220225949A1 (en) | Wearable device network system | |
| US20210304860A1 (en) | Systems and methods of integrating medical device case files with corresponding patient care records | |
| JP2018136834A (en) | Hospital information system and program thereof | |
| KR101482520B1 (en) | Medical workflow-based adaptive display system and method | |
| US20200373019A1 (en) | Preventive care platform for interactive patient monitoring | |
| US20210027649A1 (en) | Systems and methods for providing behavioral training for user engagement with medical devices |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |