KR20190090650A - Method and Apparatus for Managing Pain - Google Patents

Abstract

Disclosed are a method and an apparatus for managing pain. The present embodiment provides the method and the apparatus for managing pain which integrate and record pain information of a patient with a surrounding environment element based on a time zone, and then analyze data to accurately determine pain intensity of the patient to provide prescription information for the patient. In addition, the method and the apparatus for managing pain perform effective prescriptions and make big data of pain data according to diseases, thereby being able to improve future medical development and life quality of patients.

Description

Pain management method and device {Method and Apparatus for Managing Pain}

This embodiment relates to a pain management method and apparatus.

The contents described below merely provide background information related to this embodiment and do not constitute a prior art.

Pain is one of the most common and painful symptoms suffered by patients. For example, 30 to 50 percent of patients diagnosed early or undergoing active chemotherapy, 60 to 70 percent in advanced stages, and 80 to 90 percent in late stages are known to suffer from pain. .

Pain not only interferes with daily life, but also greatly affects the quality of life of the patient, so the pain should be controlled sufficiently. However, according to WHO's Pain Management Principles and Programs, 40-50% of these patients do not receive adequate pain treatment, even though more than 90% of patients can be adequately controlled.

For example, the pain experienced by cancer patients is characterized by persistent pain. However, in about 70-80% of patients, in addition to chronic pain, breakthrough pain appears.

Sudden pain refers to pain that starts suddenly ill and appears repeatedly for a short period of time. Usually, while sudden pain persists, you cannot do your daily activities at all.

Recurring pain can not only cause pain to the patient, but also frustration and depression caused by his or her inability to control himself. It needs to be managed continuously.

In this embodiment, the pain information of the patient is recorded together with the surrounding environment factors based on the time zone, and the data can be analyzed to more accurately check the pain intensity of the patient and to prescribe the patient. The goal is to provide pain management methods and devices that enable data to be big data to improve future medical development and the quality of life of patients.

According to an aspect of the present embodiment, a sensing device for sensing the environment information periodically, and senses and transmits the pressure information generated when the patient feels pain; A pain management apparatus for extracting pain intensity based on the pressure information and generating pain data for each patient matching the pain intensity with the surrounding environment information for each time period; And it provides a pain management system comprising a hospital server for generating pain relief prescription information optimized for each patient based on the patient-specific pain data.

According to another aspect of the present embodiment, the environment information receiving unit for receiving the environment information periodically from the sensing device attached to the patient wearable form; A pressure information receiver configured to receive pressure information generated when the patient feels pain from the sensing device; A pain information processor extracting pain intensity based on the pressure information; And a pain data generation unit configured to generate and display pain data for each patient matching the pain intensity along with the surrounding environment information for each time zone.

The pain data generator calculates a pain cycle in which pain is repeated based on the pain intensity matched for each time zone.

The pain data generator may display the pain intensity and the pain period matched for each time zone in the form of a chart.

The pain data generator may display the pain intensity by distinguishing the pain intensity by a predetermined color on the chart.

The pain information processing unit comprises a pressure value extraction unit for extracting the pressure value included in the pressure information; A level extraction unit for extracting a level corresponding to the pressure value; A pain intensity extracting unit for extracting pain intensity corresponding to the level; And a pain data generator for generating patient-specific pain data matching the pain intensity with the surrounding environment information based on the time information.

When the pressure value included in the pressure information is less than the first threshold value, the pain information processor extracts a level corresponding to the pressure value less than the first threshold value, and confirms the pain intensity corresponding to the level as a weak pain. The patient-specific pain data matched with the surrounding environment information is generated based on the information.

The pain information processing unit extracts a level corresponding to the pressure value exceeding the first threshold and less than or equal to the second threshold when the pressure value included in the pressure information exceeds the first threshold and is less than or equal to the second threshold. The corresponding pain intensity is identified as intermediate pain to generate the patient-specific pain data matched with the environment information based on time information.

The pain information processor extracts a level corresponding to a pressure value exceeding a second threshold and less than or equal to a third threshold when the pressure value included in the pressure information is greater than or equal to a second threshold and less than or equal to a third threshold, and corresponds to the level. Identifying pain intensity as severe pain to generate the patient-specific pain data matched with the environment information based on time information.

Further comprising a prescription processing unit for generating pain relief prescription information optimized for each patient based on the patient-specific pain data.

The prescription processing unit analyzes the patient-specific pain data, and as a result, when the pain intensity occurs more than a predetermined number of times in the morning of the preset time zone or when the severe pain occurs, the pain cycle is repeated within the preset time If it is determined that the patient's pain intensified at the time of dawn, the pain relief prescription information is adjusted to adjust the drug component so that the pain is relieved at the time of dawn during the time of taking the medicine.

When the prescription processor analyzes the patient-specific pain data, when the temperature information or humidity information included in the surrounding environment information is outside the preset temperature threshold regardless of time zone, the pain intensity is intermediate pain more than a preset number of times. When this occurs or the severe pain occurs, if the pain cycle is repeated within a predetermined time, the pain relief prescription information for improving the surrounding environment is generated.

According to another aspect of the present embodiment, the step of receiving the environment information periodically from the sensing device attached to the patient in a wearable form; Receiving pressure information generated when the patient feels pain from the sensing device; Extracting pain intensity based on the pressure information; It provides a pain management method comprising the step of generating and displaying the patient-specific pain data matching the pain intensity with the surrounding environment information for each time period.

As described above, according to the present embodiment, the pain of the patient in the hospital server is integrated with time zones and surrounding factors, and data is analyzed to accurately manage the patient and provide a prescription. According to the present embodiment, the effective prescription and pain data according to the disease are made big data (Big Data), thereby improving the future medical development and the quality of life of the patient.

1 is a block diagram schematically showing a pain management system according to the present embodiment.
2 is a block diagram schematically illustrating a sensing device according to the present embodiment.
3 is a block diagram schematically showing a pain management apparatus according to the present embodiment.
4 is a flowchart illustrating a pain management method according to the present embodiment.
5 is a view showing a chart showing pain intensity and pain period matched for each time zone according to the present embodiment.

Hereinafter, the present embodiment will be described in detail with reference to the accompanying drawings.

1 is a block diagram schematically showing a pain management system according to the present embodiment.

The pain management system according to the present embodiment may include the sensing devices 110-1, 110-2, and 110 -N, the pain management devices 112-1, 112-2, and 112 -N, and the pain management application 114-1. 114-2, 114 -N), network 120, and hospital server 130. Components included in the pain management system are not necessarily limited thereto.

The sensing devices 110-1, 110-2, and 110 -N refer to a wearable type sensing device attached to a part of a patient's body. The sensing devices 110-1, 110-2, and 110 -N collect environment information around the patient at predetermined intervals. The sensing devices 110-1, 110-2, and 110 -N collect temperature information around the patient at a predetermined cycle and collect humidity information. The sensing devices 110-1, 110-2, and 110 -N sense pressure when the patient feels pain. However, the sensing devices 110-1, 110-2, and 110 -N are not limited to devices that sense the pressure that the patient presses. It is also possible to have a button-type device that can receive the intensity of pain by varying the number of pressing.

The sensing devices 110-1, 110-2, and 110 -N periodically sense information about the surrounding environment, and sense pressure information generated when the patient feels pain to manage the pain management devices 112-1, 112-2, 112-N).

The pain management devices 112-1, 112-2, and 112 -N communicate with the sensing devices 110-1, 110-2, and 110 -N by short-range wireless communication. The pain management devices 112-1, 112-2, and 112 -N refer to electronic devices that communicate with the hospital server 130 via the network 120 according to a user's key manipulation.

The pain management devices 112-1, 112-2, and 112 -N communicate with the sensing devices 110-1, 110-2, and 110 -N through short-range wireless communication, and via the network, the hospital server 130. Memory for storing a program or a protocol for communicating with the memory), a microprocessor for executing and controlling the program, and the like.

The pain management devices 112-1, 112-2, and 112-N are smart phones, tablets, laptops, personal computers (PDAs), and personal digital assistants (PDAs). The electronic device may be a digital assistant, a game console, a portable multimedia player (PMP), a wireless communication terminal, a media player, or the like.

The pain management devices 112-1, 112-2, and 112-N are (i) communication devices such as communication modems for communicating with various devices or wired and wireless networks, and (ii) memory for storing various programs and data. And (iii) microprocessors for executing, operating, and controlling programs. According to at least one embodiment, the memory may be a computer such as a random access memory (RAM), a read only memory (ROM), a flash memory, an optical disk, a magnetic disk, or a solid state disk Readable recording / storage medium. According to at least one embodiment, the microprocessor may be programmed to selectively perform one or more of the operations and functions described in the specification. According to at least one embodiment, the microprocessor may be implemented as hardware, such as an Application Specific Integrated Circuit (ASIC), in whole or in part.

Although the pain management devices 112-1, 112-2, and 112 -N are described as being implemented as a separate device from the hospital server 130, in the implementation of the actual embodiment, the pain management devices 112-1 and 112 are described. -2, 112-N may be implemented as a stand alone device of the type including the hospital server 130. The pain management devices 112-1, 112-2, and 112 -N drive the pain management applications 114-1, 114-2, and 114 -N by a user's manipulation or command.

The pain management applications 114-1, 114-2, 114-N are mounted on the pain management devices 112-1, 112-2, 112-N, and the pain management devices 112-1, 112-2, It is preferable to operate using various hardware provided in 112-N), but is not necessarily limited thereto, and may be implemented as a separate device.

The pain management applications 114-1, 114-2, and 114 -N may operate in conjunction with applications already installed in the pain management apparatuses 112-1, 112-2, and 112 -N. The pain management applications 114-1, 114-2, and 114 -N periodically receive the environment information from the sensing devices 110-1, 110-2, and 110 -N attached to the patient in a wearable form. The pain management applications 114-1, 114-2, 114 -N receive pressure information from the sensing devices 110-1, 110-2, 110 -N that occur when the patient feels pain. Pain management applications 114-1, 114-2, and 114-N extract pain intensity based on the pressure information. The pain management applications 114-1, 114-2, and 114-N generate and display patient-specific pain data matching the pain intensity along with the environment information for each time zone.

The pain management devices 112-1, 112-2, and 112 -N extract pain intensities based on the pressure information received from the sensing devices 110-1, 110-2, and 110 -N. The pain management devices 112-1, 112-2, and 112 -N generate patient-specific pain data matching the pain intensity along with the environment information for each time zone.

The pain management devices 112-1, 112-2, and 112-N are integrated records with pain time and peripheral factors in which the pain of patients received from the sensing devices 110-1, 110-2, and 110-N occurs. do. The pain management devices 112-1, 112-2, and 112-N may analyze data on pain time zones and surrounding factors to more accurately manage patients and provide prescriptions for patient pain. The pain management devices 112-1, 112-2, and 112 -N can be used to improve effective prescription and disease-based pain data to improve future medical development and quality of life of patients.

The pain management devices 112-1, 112-2, and 112 -N are connected to the sensing devices 110-1, 110-2, and 110 -N attached to the wearable patient, and short-range wireless communication (eg, BLE, WI-). Communication based on FI).

The sensing devices 110-1, 110-2, and 110 -N attached to the wearable patient include a temperature sensor 212, a humidity sensor 214, a pressure sensor 216, and the like. The sensing devices 110-1, 110-2, and 110 -N attached to the wearable patient sense the real-time ambient information by mounting them on the wrist or the periphery of the patient using the provided sensors.

The sensing devices 110-1, 110-2, and 110 -N transmit the collected surrounding environment information to the pain management devices 112-1, 112-2, and 112 -N using short-range wireless communication. The pain management apparatuses 112-1, 112-2, and 112 -N analyze changes in the surrounding environment by analyzing the surrounding environment information collected from the sensing devices 110-1, 110-2, and 110 -N.

The pain management devices 112-1, 112-2, and 112 -N record real-time ambient environment information (temperature and humidity) of the patient received from the sensing devices 110-1, 110-2, and 110 -N.

When the pain comes, the wearable sensing devices 110-1, 110-2, and 110 -N of the wearable type are pressed strongly or weakly according to the pain intensity once. The sensing devices 110-1, 110-2, and 110 -N transmit pain signals to the pain management devices 112-1, 112-2, and 112 -N through wireless short-range communication. The pain management devices 112-1, 112-2, and 112 -N may transmit pain signals together with temperature information and humidity information received from the sensing devices 110-1, 110-2, and 110 -N based on time information. Match and save.

The patient may weakly press or hardly press the sensor unit 210 provided in the sensing devices 110-1, 110-2, and 110 -N according to the pain level. The sensing devices 110-1, 110-2, and 110 -N receive the pressure information according to the intensity according to the pressure that the patient presses from the pressure sensor 216. N).

The pain management devices 112-1, 112-2, and 112 -N analyze the pressure information received from the sensing devices 110-1, 110-2, and 110 -N and store the pain intensity according to the pressure intensity.

The pain management devices 112-1, 112-2, and 112 -N analyze pain information by analyzing pressure information received from the sensing devices 110-1, 110-2, and 110 -N. The pain management devices 112-1, 112-2, and 112-N check the pressure values included in the pressure information. The pain management devices 112-1, 112-2, and 112 -N identify levels (eg, level 1 to level 10) corresponding to the pressure values. The pain management devices 112-1, 112-2, and 112 -N identify 'pain intensity (eg, mild pain, moderate pain, severe pain, etc.)' corresponding to the level (eg, level 1 to level 10). . The pain management apparatuses 112-1, 112-2, and 112 -N store the pain intensity along with the environment information based on the time information.

The pain management apparatuses 112-1, 112-2, and 112 -N may have a pressure value of '10g' included in the pressure information received from the sensing devices 110-1, 110-2, and 110 -N. Check the level (eg level 1) corresponding to 10g '. The pain management apparatuses 112-1, 112-2, and 112-N identify the pain intensity corresponding to 'level 1' as weak pain and store it together with the environment information based on time information.

When the pain management apparatuses 112-1, 112-2, and 112-N include a pressure value included in the pressure information received from the sensing devices 110-1, 110-2, and 110-N, is '50g', Check the level (eg level 5) corresponding to 50g '. The pain management apparatuses 112-1, 112-2, and 112 -N identify pain intensity corresponding to 'level 5' as 'medium pain' and store it together with the environment information based on time information.

When the pain management apparatuses 112-1, 112-2, and 112-N are included in the pressure information included in the pressure information received from the sensing devices 110-1, 110-2, and 110-N, '100g', Check the level (eg level 10) corresponding to 100g '. The pain management devices 112-1, 112-2, and 112 -N identify the pain intensity corresponding to 'level 10' as 'severe pain' and store it together with the environment information based on time information.

The criteria that the pain management devices 112-1, 112-2, and 112-N classify according to pain intensity are as follows.

‘Weak Pain’: Software Algorithm 1 when Pressure Value is Level 1-5, eg 10g Pressure Value

‘Moderate pain’: Software algorithm 2 when pressure value is entered at level 4 or 6, eg 50g

'Severe pain': Software algorithm 3 when pressure level 7 ~ 10, eg 100g pressure

However, when the sensing devices 110-1, 110-2, and 110 -N are button type devices that can receive pain intensity according to the number of times the patient presses the button, the pain management devices 112-1 and 112-are used. 2, 112-N) may determine and store pain intensity by matching preset pain intensity according to the number of times input by the patient. For example, the pain management devices 112-1, 112-2, and 112 -N may be referred to as 'weak pain' when the patient presses the sensing devices 110-1, 110-2, and 110 -N once, and when the user presses twice. It can be classified as 'medium pain' or 'severe pain' when pressed three times.

The pain management devices 112-1, 112-2, 112 -N are equipped with pain management applications 114-1, 114-2, 114 -N. Pain management applications 114-1, 114-2, and 114-N use the application to calculate pain intensity measurements based on temperature and humidity data in real time and display them for easy viewing by color.

Situation 1

The pain management devices 112-1, 112-2, and 112 -N use chartered pain management applications 114-1, 114-2, and 114 -N as charts to match pain periods and intensities over time. Mark it.

If the patient has severe pain only at dawn, the pain management device (112-1, 112-2, 112-N) is a pain management application (114-1) 114-2, 114-N) and match the pain cycle and intensity matched at dawn time on the chart.

The pain management devices 112-1, 112-2, and 112 -N may manage patient-specific pain data about the matched and stored pain cycle and intensity mainly at dawn time. The pain management apparatuses 112-1, 112-2, and 112 -N transmit patient-specific pain data to a medical staff member subscribed to a service, or transmit patient-specific pain data to a hospital server 130.

The medical staff terminal or the hospital server 130 may take medicine at a specific time of morning, lunch, and dinner during prescription based on the patient-specific pain data received from the pain management apparatuses 112-1, 112-2, and 112-N. You can adjust the ingredients of the drug, making it possible to prescribe effective medicine,

Situation 2

The pain management devices 112-1, 112-2, and 112 -N use chartered pain management applications 114-1, 114-2, and 114 -N as charts to match pain periods and intensities over time. Mark it.

If the patient is severe pain due to the environment, the patient will press the sensor unit 210 each time the pain occurs, so the pain management devices (112-1, 112-2, 112-N) is equipped with a pain management application 114 -1, 114-2, 114-N), and match the stored pain period and intensity with the surrounding environment information on the chart.

The pain management devices 112-1, 112-2, and 112 -N may manage patient-specific pain data about the matched and stored pain cycle and intensity together with the surrounding environment information. The pain management apparatuses 112-1, 112-2, and 112 -N transmit patient-specific pain data to a medical staff member subscribed to a service, or transmit patient-specific pain data to a hospital server 130.

When the medical staff terminal or the hospital server 130 analyzes the pain cycle data for each time zone based on the patient-specific pain data received from the pain management apparatuses 112-1, 112-2, and 112-N, the environment information (temperature, By determining the pain cycle according to humidity, etc.), prescription information for improving the temperature and the environment may be generated and transmitted to the pain management apparatuses 112-1, 112-2, and 112-N. As a result, pain relief and management are possible from the patient's perspective.

Pain management devices (112-1, 112-2, 112-N) is a big data of the pain data by temperature, humidity, time of day according to the disease, sex, and age of the patient to help effective prescription and pain relief do.

The network 120 refers to a communication means for connecting the hospital server 130 and the pain management devices 112-1, 112-2, and 112 -N. The network 120 may be a closed network such as a local area network (LAN), a wide area network (WAN), or the like, but is preferably an open type such as the Internet.

The Internet can be divided into several services, such as HyperText Transfer Protocol (HTTP), Telnet, File Transfer Protocol (FTP), Domain Name System (DNS), Simple Mail Transfer Protocol (SMTP) Simple Network Management Protocol (NFS), Network File Service (NFS), and Network Information Service (NIS).

The network 120 may include not only the Internet network but also code division multiple access (CDMA), wide code division multiple access (WCDMA), global system for mobile communications (GSM), long term evolution (LTE), evolved packet core (EPC), It refers to a communication network such as 5G, an access network of a next-generation mobile communication system to be implemented in the future, and a cloud computing access network between a cloud computing service providing device and a terminal.

The hospital server 130 includes the same hardware module as a web server or a network server which is conventionally hardware. The hospital server 130 may be implemented in the form of a web server or a network server. Hospital server 130 generally communicates with an unspecified number of clients or other servers via an open computer network, such as the Internet.

The hospital server 130 refers to a computer system or computer software (web server program) which derives and provides a work result corresponding to a work execution request of a client or another web server.

In addition to the above-described web server program, the hospital server 130 includes a series of application programs or various databases built in a device.

The hospital server 130 provides a service in connection with an authenticated medical institution server, an authenticated medical staff terminal, and a registered medical staff terminal. The hospital server 130 classifies the information on the prescription information and stores and manages it in a database.

The hospital server 130 generates pain relief prescription information optimized for each patient based on the patient-specific pain data. The hospital server 130 generates optimized pain relief prescription information for each patient based on the patient-specific pain data received from the pain management devices 112-1, 112-2, and 112 -N.

As a result of analyzing the pain data for each patient, the hospital server 130 analyzes the patient's pain data, and when the pain intensity occurs more than a preset number of times in the morning time zone, or when severe pain occurs, the pain cycle is repeated within the preset time. In this case, the pain of the patient is determined to be severe at dawn, and the pain relief prescription information is adjusted to adjust the drug components so as to alleviate the pain at dawn during the medicine taking time (eg, morning, lunch, dinner).

As a result of analyzing the pain data for each patient, the hospital server 130, when the temperature information or humidity information included in the surrounding environment information is outside the preset temperature threshold regardless of the time zone, the pain intensity is more than the predetermined number of times the intermediate pain When this occurs or severe pain occurs, if the pain cycle is repeated within a predetermined time, the pain relief prescription information for improving the surrounding environment is generated.

2 is a block diagram schematically illustrating a sensing device according to the present embodiment.

The sensing devices 110-1, 110-2, and 110 -N according to the present embodiment include a sensor unit 210, a control unit 220, and a communication unit 230. Components included in the sensing devices 110-1, 110-2, and 110 -N are not necessarily limited thereto.

Each component included in the sensing devices 110-1, 110-2, and 110 -N may be connected to a communication path connecting a software module or a hardware module inside the device to operate organically with each other. These components communicate using one or more communication buses or signal lines.

Each component of the sensing devices 110-1, 110-2, and 110 -N illustrated in FIG. 2 refers to a unit that processes at least one function or operation, and is a software module, a hardware module, or software and hardware. It can be implemented as a combination of.

The sensor unit 210 collects environment information around the patient at a predetermined cycle. The sensor unit 210 collects temperature information around the patient at a predetermined cycle and collects humidity information. The sensor unit 210 detects pressing pressure when the patient feels pain.

The sensor unit 210 includes a temperature sensor 212, a humidity sensor 214, and a pressure sensor 216.

The temperature sensor 212 senses the temperature of the situation around the patient. The temperature sensor 212 transmits the sensed temperature information to the controller 220. The humidity sensor 214 senses the humidity of the situation around the patient. The humidity sensor 214 transmits the sensed humidity information to the controller 220. The pressure sensor 216 senses the pressure of pressing hard or weakly depending on the degree of pain when the patient feels pain. The pressure sensor 216 transmits the sensed pressure information to the controller 220. The pressure information includes the intensity of pain by the pressure value the patient presses.

The controller 220 refers to control means for controlling the overall functions of the sensing devices 110-1, 110-2, and 110 -N. The control unit 220 stores a memory for controlling the overall components of the sensing devices 110-1, 110-2, and 110 -N, and executes the corresponding program to detect the sensing devices 110-1, 110-2, 110-N) may be configured to include a microprocessor for controlling the components.

The controller 220 transmits the temperature information received from the temperature sensor 212 to the pain management devices 112-1, 112-2, and 112 -N via the communication unit 230. The controller 220 transmits the humidity information received from the humidity sensor 214 to the pain management devices 112-1, 112-2, and 112 -N via the communication unit 230. The controller 220 transmits the pressure information received from the pressure sensor 216 to the pain management devices 112-1, 112-2, and 112 -N via the communication unit 230.

The communication unit 230 refers to communication means for performing a function of interworking with the pain management devices 112-1, 112-2, and 112 -N using near-field wireless communication. The communication unit 230 transmits and receives various data to the pain management device (112-1, 112-2, 112-N).

3 is a block diagram schematically showing a pain management apparatus according to the present embodiment.

The pain management apparatuses 112-1, 112-2, and 112 -N according to the present embodiment include an information receiver 310, an environment information processor 320, a pain information processor 330, and a prescription processor 340. do. The components included in the pain management devices 112-1, 112-2, and 112 -N are not necessarily limited thereto.

In FIG. 3, the pain management devices 112-1, 112-2, and 112 -N are illustrated as devices implemented separately from the sensing devices 110-1, 110-2, and 110 -N, but are not limited thereto. The pain management apparatuses 112-1, 112-2, and 112 -N may be implemented as one device with the sensing devices 110-1, 110-2, and 110 -N.

Each component included in the pain management apparatuses 112-1, 112-2, and 112 -N may be connected to a communication path connecting a software module or a hardware module inside the device to operate organically with each other. These components communicate using one or more communication buses or signal lines.

Each component of the pain management apparatuses 112-1, 112-2, and 112-N illustrated in FIG. 3 refers to a unit that processes at least one function or operation, and includes a software module, a hardware module, or software. It can be implemented in a combination of hardware.

The information receiver 310 communicates with the sensing devices 110-1, 110-2, and 110 -N in short-range wireless communication. The information receiver 310 includes a surrounding environment information receiver 310 and a pressure information receiver 310.

The surrounding environment information receiving unit 310 periodically receives the surrounding environment information from the sensing devices 110-1, 110-2, and 110 -N attached to the patient in a wearable form. The pressure information receiver 310 receives pressure information generated when the patient feels pain from the sensing devices 110-1, 110-2, and 110 -N.

The surrounding environment information processing unit 320 receives the surrounding environment information (temperature information, humidity information) from the surrounding environment information receiving unit 310. The environment information processor 320 matches and stores temperature information and humidity information received from the sensing devices 110-1, 110-2, and 110 -N based on time information.

The pain information processor 330 extracts pain intensity based on the pressure information.

The pain information processor 330 extracts a level (eg, level 1) corresponding to the pressure value below the first threshold when the pressure value included in the pressure information is less than the first threshold (eg, 10 g), For example, the pain intensity corresponding to level 1) is identified as a weak pain, and the patient-specific pain data matched with the surrounding environment information is generated based on time information.

The pain information processing unit 330 exceeds the first threshold (eg, 10g) when the pressure value included in the pressure information exceeds the first threshold (eg, 10g) and is less than or equal to the second threshold (eg, 50g) and the second threshold value (eg, 10g). The level (eg level 5) corresponding to the pressure value below the threshold (eg 50 g) is extracted. If the strength of the pain is determined by the number of times the patient presses the button in the form of the button of the sensor device 110-1, 110-2, or 110 -N, the above threshold is the number of button presses corresponding to the intensity of the pain. May be specified.

The pain information processor 330 checks the pain intensity corresponding to the level (eg, level 5) as 'intermediate pain' and generates patient-specific pain data matched with the surrounding environment information based on the time information.

The pain information processing unit 330 exceeds the second threshold (eg, 50g) when the pressure value included in the pressure information exceeds the second threshold (eg, 50g) and is less than or equal to the third threshold (eg, 50g) and the third threshold (eg, 50g). A level (eg, level 10) corresponding to a pressure value (eg, 100 g) that is below a threshold (eg, 100 g) is extracted.

The pain information processor 330 identifies the pain intensity corresponding to the level (eg, level 10) as severe pain and generates patient-specific pain data matched with the environment information based on the time information.

The pain information processor 330 includes a pressure value extractor 332, a level extractor 334, a pain intensity extractor 336, and a pain data generator 338.

The pressure value extractor 332 extracts the pressure value included in the pressure information. The level extractor 334 extracts a level (eg, level 1 to level 10) corresponding to the pressure value. The pain intensity extractor 336 extracts 'pain intensity (eg, mild pain, moderate pain, severe pain, etc.)' corresponding to the level (eg, level 1 to level 10).

The pain data generator 338 generates and displays patient-specific pain data matching pain intensities with the surrounding environment information for each time zone. The pain data generator 338 calculates a pain cycle in which pain is repeated based on the matched pain intensity for each time period. The pain data generator 338 displays the pain intensity and pain period matched for each time zone in the form of a chart. The pain data generator 338 classifies and displays the pain intensity by a predetermined color on the chart. The pain data generator 338 generates pain data for each patient who matched the pain intensity with the surrounding environment information based on the time information.

The prescription processor 340 generates pain relief prescription information optimized for each patient based on patient-specific pain data.

The prescription processing unit 340 analyzes the patient-specific pain data, and when the pain intensity is greater than the preset number of times in the morning of the preset time zone or when severe pain occurs, the pain cycle is repeated within the preset time. In this case, the pain of the patient is determined to be severe at dawn, and the pain relief prescription information is adjusted to adjust the drug components so as to alleviate the pain at dawn during the medicine taking time (eg, morning, lunch, dinner).

As a result of analyzing the pain data for each patient, the prescription processor 340 analyzes the patient-specific pain data, and irrespective of the time zone, when the temperature information or humidity information included in the surrounding environment information is outside the preset temperature threshold, the pain intensity is more than a predetermined number of times of intermediate pain. When this occurs or severe pain occurs, if the pain cycle is repeated within a predetermined time, the pain relief prescription information for improving the surrounding environment is generated.

4 is a flowchart illustrating a pain management method according to the present embodiment.

The sensing devices 110-1, 110-2, and 110 -N are wearable devices that are attached to a part of a patient's body and collect surrounding environment information around a patient at predetermined intervals. The sensing devices 110-1, 110-2, and 110 -N collect temperature information around the patient at a predetermined cycle and collect humidity information. The sensing devices 110-1, 110-2, and 110 -N periodically sense the surrounding environment information and transmit the sensing information to the pain management devices 112-1, 112-2, and 112 -N (S410).

The sensing devices 110-1, 110-2, and 110 -N sense pressure when the patient feels pain. The sensing devices 110-1, 110-2, and 110 -N sense the pressure value that the patient presses whenever pain occurs and transmits the pressure values to the pain management devices 112-1, 112-2, and 112 -N (S420). ).

The pain management devices 112-1, 112-2, and 112 -N communicate with the sensing devices 110-1, 110-2, and 110 -N in short-range wireless communication. The pain management devices 112-1, 112-2, and 112 -N periodically receive the environment information from the sensing devices 110-1, 110-2, and 110 -N attached to the patient in a wearable form. The pain management devices 112-1, 112-2, and 112 -N may receive ambient information (temperature information, humidity information) received from the sensing devices 110-1, 110-2, and 110 -N based on time information. To match and store (S430).

The pain management devices 112-1, 112-2, and 112 -N receive pressure information generated when the patient feels pain from the sensing devices 110-1, 110-2, and 110 -N. The pain management devices 112-1, 112-2, and 112 -N extract the pain intensity according to the pressure value corresponding to the pressure information received from the sensing devices 110-1, 110-2, and 110 -N ( S440).

In operation S440, the pain management devices 112-1, 112-2, and 112 -N extract the pressure values included in the pressure information. The pain management devices 112-1, 112-2, and 112-N extract the levels (e.g., 1-10) corresponding to the pressure values. The pain management devices 112-1, 112-2, and 112 -N extract a 'pain intensity (eg, mild pain, moderate pain, severe pain, etc.)' corresponding to the level (eg, 1-10).

Pain management devices (112-1, 112-2, 112-N) stores the environment information, pain intensity for each time zone (S450). In operation S450, the pain management apparatuses 112-1, 112-2, and 112 -N generate and display patient-specific pain data matching the pain intensity along with the environment information for each time zone.

The pain management devices 112-1, 112-2, and 112 -N calculate pain periods in which pain is repeated based on time-matched pain intensity. The pain management devices 112-1, 112-2, and 112 -N display the matched pain intensity and the pain period for each time zone in the form of a chart. The pain management apparatuses 112-1, 112-2, and 112-N classify and display pain intensity by predetermined color on the chart. The pain management apparatuses 112-1, 112-2, and 112 -N generate patient-specific pain data in which pain intensity is matched with surrounding environment information based on time information.

The pain management devices 112-1, 112-2, and 112 -N have levels corresponding to pressure values below the first threshold, for example, when the pressure value included in the pressure information is below the first threshold (eg, 10 g). , Level 1) is extracted, and the pain intensity corresponding to the level (eg, level 1) is identified as weak pain to generate patient-specific pain data matched with the environment information based on time information.

The pain management devices 112-1, 112-2, and 112 -N have a first threshold when the pressure value included in the pressure information exceeds the first threshold (eg, 10g) and is below the second threshold (eg, 50g). Extract a level (eg, level 5) that corresponds to a pressure value above (eg, 10 g) and below a second threshold (eg, 50 g). The pain management apparatuses 112-1, 112-2, and 112-N identify the pain intensity corresponding to the level (eg, level 5) as 'medium pain' and match the patient with the surrounding environment information based on time information. Generates star pain data.

The pain management devices 112-1, 112-2, and 112 -N have a second threshold when the pressure value included in the pressure information exceeds the second threshold (eg 50g) and is below the third threshold (eg 50g). Extract a level (eg, level 10) that corresponds to a pressure value (eg, 100 g) that is above (eg, 50 g) and below a third threshold (eg, 100 g). The pain management devices 112-1, 112-2, and 112 -N identify the pain intensity corresponding to the level (eg, level 10) as severe pain, and match each patient's pain with the surrounding environment information based on time information. Generate data.

The hospital server 130 generates pain relief prescription information optimized for each patient based on patient-specific pain data from the pain management apparatuses 112-1, 112-2, and 112-N (S460).

In step S460, as a result of analyzing the patient-specific pain data, the hospital server 130, if the pain intensity is more than a predetermined number of times in the morning of the preset time zone or a severe pain occurs, the pain cycle is preset When repeated within the time, the pain of the patient is determined to be severe at the time of dawn, and the pain relief prescription information is adjusted to adjust the drug component so that the pain at the time of dawn during the medicine taking time (eg, morning, lunch, evening).

In step S460, as a result of analyzing the patient-specific pain data, the hospital server 130, if the temperature information or humidity information included in the surrounding environment information is out of the preset temperature threshold, regardless of time zone, the number of pain intensity is a predetermined number When the middle pain or severe pain occurs, if the pain cycle is repeated within a predetermined time, the pain relief prescription information for improving the surrounding environment is generated.

In FIG. 4, steps S410 to S460 are described as being sequentially executed, but are not necessarily limited thereto. In other words, since the steps described in FIG. 4 may be applied by changing the steps or executing one or more steps in parallel, FIG. 4 is not limited to the time series order.

As described above, the pain management method according to the present embodiment described in FIG. 4 may be implemented in a program and recorded in a computer-readable recording medium. The computer-readable recording medium having recorded thereon a program for implementing the pain management method according to the present embodiment includes all kinds of recording devices storing data that can be read by a computer system.

5 is a view showing a chart showing pain intensity and pain period matched for each time zone according to the present embodiment.

The sensing devices 110-1, 110-2, and 110 -N mounted in a wearable form on the patient periodically collect the patient's surrounding information using the sensor unit 210.

When the patient feels pain in the body part, when the pain intensity is input to the sensing devices 110-1, 110-2, and 110 -N, the pain management device 112-1, 112-2, and 112 -N is collected. The pain intensity is matched and stored along with the surrounding environment information.

As shown in FIG. 5, the pain management apparatuses 112-1, 112-2, and 112 -N include time zones (eg, 1:00, 2:00, 3:00, 4:00, 5:00, 6:00, 7:00, 8:00, 9:00, 10:00, 11:00, 12:00, 13:00, 14:00, 15:00, 16:00, 17:00, 18: 00, 19:00, 20:00, 21:00, 22:00, 23:00, 00:00) to generate and display the patient-specific pain data matching the pain intensity with the surrounding environment information. As shown in FIG. 5, the pain management apparatuses 112-1, 112-2, and 112 -N display the pain intensity and the pain period matched for each time zone in the form of a chart.

As shown in FIG. 5, the pain management apparatuses 112-1, 112-2, and 112 -N classify and display pain intensities on a chart. For example, the pain management devices 112-1, 112-2, and 112 -N may display 'mild pain' in yellow, 'mid pain' in orange, and 'severe pain' in red. .

In other words, as shown in Figure 5, 1:30 (weak pain), 2:00, 3:30 (weak pain), 4:00, 5:00 ~ 6:00 (weak pain, moderate pain) by time zone , Severe pain), 7:00, 8:00, 9:00, 10:00, 11:00, 12:00 (soft pain), 13:00 (soft pain), 14:00 (medium pain), 15 Pain intensity on the chart: 00, 16:00, 17:00 (medium pain, severe pain), 18:00, 19:00, 20:00, 21:00, 22:00, 23:00, 00:00 Is displayed.

The pain management devices 112-1, 112-2, and 112 -N may classify pain intensity based on the following criteria.

‘Weak pain’: pressure below the first threshold, levels 1-3, first software algorithm

‘Moderate pain’: a pressure value above the first threshold and below the second threshold, levels 4-6, second software algorithm

‘Severe Pain’: Pressure value level 7-10 above the second threshold and below the third threshold, third software algorithm

The pain management devices 112-1, 112-2, and 112 -N perform data analysis on patient surrounding information and patient pain information received from the sensing devices 110-1, 110-2, and 110 -N. The patient's pain state can be pinpointed by extracting more severe time and environmental information.

The pain management apparatuses 112-1, 112-2, and 112 -N may generate patient-specific pain data matching the pain intensity along with the environment information for each time zone and transmit the pain data to the hospital server 130.

The hospital server 130 may provide prescription information optimized for the pain of the patient by varying the prescription of the medicine according to the pain intensity of the patient based on the result of analyzing the patient environment information and the patient pain information.

The foregoing description is merely illustrative of the technical idea of the present embodiment, and various modifications and changes may be made to those skilled in the art without departing from the essential characteristics of the embodiments. Therefore, the present embodiments are to be construed as illustrative rather than restrictive, and the scope of the technical idea of the present embodiment is not limited by these embodiments. The scope of protection of the present embodiment should be construed according to the following claims, and all technical ideas within the scope of equivalents thereof should be construed as being included in the scope of the present invention.

110-1, 110-2, 110-N: sensing device
112-1, 112-2, 112-N: pain management device
114-1, 114-2, 114-N: Pain Management Applications
120: network 130: hospital server
210: sensor unit 212: temperature sensor
214: humidity sensor 216: pressure sensor
220: control unit 230: communication unit
310: pain information management
312: surrounding information receiver
314: pressure information receiver
320: surrounding information processing unit 330: pain information processing unit
332: pressure value extraction 334: level extraction
336: pain intensity extraction unit 338: pain data generation unit
340: prescription processing unit

Claims (13)

Sensing device for sensing the environment information periodically, and by sensing the pressure information generated when the patient feels pain;
A pain management apparatus for extracting pain intensity based on the pressure information and generating pain data for each patient matching the pain intensity with the surrounding environment information for each time period; And
Hospital server for generating optimized pain relief prescription information for each patient based on the patient-specific pain data
Pain management system comprising a. An environment information receiver configured to periodically receive surrounding environment information from a sensing device attached to a patient in a wearable form;
A pressure information receiver configured to receive pressure information generated when the patient feels pain from the sensing device;
A pain information processor extracting pain intensity based on the pressure information; And
Pain data generation unit for generating and displaying pain data for each patient matching the pain intensity with the surrounding environment information for each time period
Pain management device comprising a. 3. The method of claim 2,
The pain data generation unit,
The pain management apparatus, characterized in that for calculating the pain cycle in which the pain is repeated based on the pain intensity matched for each time period. The method of claim 3, wherein
The pain data generation unit,
The pain management apparatus, characterized in that for displaying the pain intensity matched by time period and the pain period in the form of a chart (Chart). 5. The method of claim 4,
The pain data generation unit,
The pain management apparatus, characterized in that to display the pain intensity is divided by the predetermined color on the chart. 3. The method of claim 2,
The pain information processing unit,
A pressure value extracting unit for extracting a pressure value included in the pressure information;
A level extraction unit for extracting a level corresponding to the pressure value;
A pain intensity extracting unit for extracting pain intensity corresponding to the level; And
Pain data generation unit for generating patient-specific pain data matching the pain intensity with the surrounding environment information based on the time information
Pain management device comprising a. 3. The method of claim 2,
The pain information processing unit,
When the pressure value included in the pressure information is less than the first threshold value, the level corresponding to the pressure value below the first threshold value is extracted, and the pain intensity corresponding to the level is confirmed as a weak pain, and the surrounding is based on the time information. Pain management device characterized in that for generating the patient-specific pain data matched with the environmental information. 3. The method of claim 2,
The pain information processing unit,
When the pressure value included in the pressure information is above the first threshold and below the second threshold, the level corresponding to the pressure value above the first threshold and below the second threshold is extracted, and the pain intensity corresponding to the level is extracted. The pain management device, characterized in that for generating the pain data for each patient matched with the surrounding information on the basis of the time information to determine the pain. 3. The method of claim 2,
The pain information processing unit,
If the pressure value included in the pressure information is greater than or equal to the second threshold and less than or equal to the third threshold, a level corresponding to the pressure value exceeding the second threshold and less than or equal to the third threshold is extracted, and the pain intensity corresponding to the level is increased. Pain management device characterized in that for generating pain data for each patient matched with the surrounding environment information on the basis of time information confirmed by pain. 3. The method of claim 2,
Prescription processing unit for generating optimized pain relief prescription information for each patient based on the patient-specific pain data
Pain management device further comprises. 11. The method of claim 10,
The prescription processing unit,
As a result of analyzing the patient-specific pain data, when the pain intensity occurs more than a predetermined number of times in the morning of the preset time zone or when the severe pain occurs, the pain cycle is repeated within the preset time, It is determined that the pain of the patient at the time of dawn is severe, pain management device characterized in that for generating the pain relief prescription information adjusted to the drug component so that the pain is relieved at the time of dawn during the time of taking the medicine. 11. The method of claim 10,
The prescription processing unit,
As a result of analyzing the pain data for each patient, irrespective of the time zone, when the temperature information or the humidity information included in the surrounding environment information is out of a preset temperature threshold, the intermediate pain occurs more than a preset number of times or the pain intensity is increased. When the severe pain occurs, if the pain cycle is repeated within a predetermined time, the pain management device characterized in that for generating the pain relief prescription information for improving the surrounding environment. Receiving environment information periodically from a sensing device attached to a patient in a wearable form;
Receiving pressure information generated when the patient feels pain from the sensing device;
Extracting pain intensity based on the pressure information;
A process of generating and displaying pain data for each patient matching the pain intensity along with the surrounding environment information for each time zone
Pain management method comprising a.

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