WO2023018390A1 - Patient request system and method - Google Patents

Patient request system and method Download PDF

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Publication number
WO2023018390A1
WO2023018390A1 PCT/TR2021/051171 TR2021051171W WO2023018390A1 WO 2023018390 A1 WO2023018390 A1 WO 2023018390A1 TR 2021051171 W TR2021051171 W TR 2021051171W WO 2023018390 A1 WO2023018390 A1 WO 2023018390A1
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WO
WIPO (PCT)
Prior art keywords
request
mobile device
interface
hospital
hcps
Prior art date
Application number
PCT/TR2021/051171
Other languages
French (fr)
Inventor
Kenan Evcan KAYA
Original Assignee
Kaya Kenan Evcan
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Priority claimed from TR2021/012638 external-priority patent/TR2021012638A2/en
Application filed by Kaya Kenan Evcan filed Critical Kaya Kenan Evcan
Publication of WO2023018390A1 publication Critical patent/WO2023018390A1/en

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Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Definitions

  • the invention relates to a system and method that enables the detailed determination of patient requests in clinical/hospital settings and the appointment of relevant healthcare professional (HCP) depending on the type of patient request.
  • HCP relevant healthcare professional
  • the invention relates to a system and method that establish the communication between inpatient patient and healthcare professional with data reading and machine learning technology, that enable the patient to select the problem they experience regionally in the form of muscle, bone, and internal organs (front and back), to select the pain severity through the pain rating table, to direct the appropriate HCPs depending on the selected problem, to keep the data of all the processes performed, to categorize the requests, to report the requests by evaluating the request fulfillment periods, to interpret the reported data and develop the HCP assignment processes accordingly and to report the job conclusion and conclusion periods of the HCP performing the processes.
  • Aim of the invention is to solve the abovementioned disadvantages by being inspired from the current conditions.
  • the main aim of the invention is to set forth a call system and method that accelerates and facilitates communication between patients and HCPs in hospitals.
  • Another aim of the invention is to determine the needs of patients in detail at the source in clinical/hospital settings, to use the workforce effectively, to develop a system and method that enables the needs to be met in a timely and fast manner.
  • Another aim of the invention is to create an ergonomic and simple system and method that allows patients to be used comfortably during discomfort.
  • Another aim of the invention is to design a system and method that minimizes the response time by ensuring that notification is sent to the assigned HCP.
  • the invention is a system that enables the detailed determination of the needs of patients at the source in clinical/hospital settings and the appointment of appropriate HCPs according to the request in order to fulfill the abovementioned objects.
  • the system comprises; a mobile device comprising the interface enabling the user to create a request alarm by determining the request type and details for the service they need, • a server that contains the database containing the records of all HCPs working in the relevant healthcare institution, receives the request created through the said interface and receives the request from the user device, determines and assigns the appropriate HCPs according to the request type, informs the HPCs it has appointed, keeps a record of the requests created by the users, and reports the data it keeps with the machine learning algorithms it has.
  • the invention also includes a method that enables the detailed determination of the needs of patients at the source in clinical/hospital settings and the appointment of appropriate HCPs according to the request. Accordingly, the method comprises the following process steps;
  • the server processes the request alarm sent to it and determines the request type, automatically determines the HCPs suitable for the determined request from the HCP database, and assigns the request to the determined HCPs,
  • the server sends a notification to the mobile device of the assigned HCP and the relevant HCPs are directed to the patient
  • Figure 1 is a schematic view of the system according to the invention.
  • inventions are described by means of examples only for clarifying the subject matter in this detailed description.
  • the invention is a system that enables the detailed determination of the needs of patients at the source in clinical/hospital settings and the appointment of appropriate HCPs according to the request.
  • Figure-1 shows the schematic view of the system of the invention.
  • the system includes a mobile device (1 ) containing an interface (2) that enables the user to create a request alarm by determining the request type and details for the service they need, a database containing the records of all HCPs working in the relevant healthcare institution, a server (3) that receives the request created through the said interface (2) and receives the request from the user device (1), determines and assigns the appropriate HCPs according to the request type, informs the HCPs it has appointed, keeps a record of the requests created by the users, and reports the data it keeps with the machine learning algorithms it has.
  • the user is defined as a patient receiving treatment in a healthcare institution.
  • the mobile device (1) can be characterized as tablet, smartphone, handheld computer, computer, etc. in different preferred embodiments of the system.
  • the said mobile device (1 ) has an interface (2) that allows the user to create request alarms. The user creates the request alarm by selecting one of the request types presented to them on the interface (2) running on the mobile device (1).
  • the pain region is selected on the image shown on the interface (2).
  • the user selects the pain area as “anterior” and/or “posterior” from the “muscle”, “bone”, or “internal organ” options presented to them.
  • Pain severity is selected over the pain image on the screen.
  • the request created depending on the selected request is transmitted to the server (3) via the mobile device (1) of the alarm.
  • the server (3) processes the request alarm sent to it and determines the request type and automatically determines the HCPs suitable for the determined request from the HCP database.
  • the request is then assigned to the designated appropriate HPCs.
  • the server (3) directs the relevant HCPs to the patient by sending a notification to the assigned HCPs' mobile device, preferably via SMS.
  • the request record is saved in the database on the server (3) for use in analyses that can be performed later.
  • the analysis and reporting of assistance requests can be provided with periodic reporting. Detailed analyses based on patients, departments, HCPs, etc. are carried out to conduct service improvement studies and to create the infrastructures of proactive approaches in this way.
  • the invention provides information to the system when the HCPs reaches the inpatient patient in the preferred embodiment of the system.
  • the system processes this data over time and categorizes and reports the HCPs.
  • the request and the duration to meet the request is evaluated for the HCP, inpatient room, and the relevant outpatient clinics. These data are interpreted by machine learning and it is ensured that the most accurate HCP reach the patient in the fastest way possible. Reports are prepared on which HCP finalized which work and in what period on the HCP side. It accelerates the processes for both the patient and the hospital in this way.
  • Information such as weather, calendar, and time can also be presented to the user through the interface (2) in addition to the feature of creating an alarm through the user's interface (2) in one of the preferred embodiments of the system.
  • the user can query the information of the HCP taking care of them through the interface (2) running on the mobile device (1 ) in another preferred embodiment of the system.
  • the request received through the interface (2) is queried from the database running on the server (3) and the information of the relevant HCP is presented to the user through the interface (2).
  • the information of the relevant HCP such as shifts, title, languages they can speak, education level, gender, telephone number, age, etc. is accessed in this way.
  • the user can query the hospital information in the database of the server (3) through the mobile interface (2) in another preferred embodiment of the system.
  • the user can access information such as hospital address, hospital phone, e-mail addresses of hospital and hospital officials, hospital transportation information, hospital entrance-exit doors (floor, emergency exit door, door name), parking information, as well as news and activities in the hospital, digital copies of hospital brochures and brochures names, brochure image, brochure description, date of publication, etc. in this context.
  • the user can order food/beverage through the interface (2) on the mobile device (1) in another preferred embodiment of the system.
  • the user can choose from the menus created by the hospital cafeteria through the interface (2) and place an order and observe the status of their order.
  • Users can search and create orders using the food type, food name, hospital unit where the food can be served and/or beverage name, beverage type, hospital unit where the beverage can be served and/or menu name, menu foods, menu beverages, menu availability times.
  • the user can also see the list of previous orders together with the order number, ordering patient name, patient room number, patient clinic name, etc.
  • the user can access online translation services through the interface (2) running on the mobile device (1 ) in order to minimize this problem in another preferred embodiment of the system.
  • patients can access various TV, radio, movie/series platform, game, and Internet access through the interface (2) running on the mobile device (1) to increase patient comfort.

Abstract

A system that enables the detailed determination of the needs of patients in clinical/hospital environments and the appointment of appropriate HCPs according to the request characterized in that it comprises a mobile device (1) containing an interface (2) that enables the user to create a request alarm by determining the request type and details for the service they need, a server (3) that comprises a database that contains the records of all HCPs working at the relevant healthcare institution, receives the request, which is created on the said interface (2), incoming from the user device (1), assigns the HCPs by determining the appropriate HCPs according to the request type, informs the HCPs that it assigns, records the requests created by the users, and reports the data that it has and records with machine learning algorithms by analyzing them.

Description

PATIENT REQUEST SYSTEM AND METHOD
Technical Field
The invention relates to a system and method that enables the detailed determination of patient requests in clinical/hospital settings and the appointment of relevant healthcare professional (HCP) depending on the type of patient request.
In particular, the invention relates to a system and method that establish the communication between inpatient patient and healthcare professional with data reading and machine learning technology, that enable the patient to select the problem they experience regionally in the form of muscle, bone, and internal organs (front and back), to select the pain severity through the pain rating table, to direct the appropriate HCPs depending on the selected problem, to keep the data of all the processes performed, to categorize the requests, to report the requests by evaluating the request fulfillment periods, to interpret the reported data and develop the HCP assignment processes accordingly and to report the job conclusion and conclusion periods of the HCP performing the processes.
State of the Art
Today, alarm buttons, which enable patients to report their emergency and/or nonemergency needs in traditional patient rooms, are insufficient because they do not allow the patient to specify the support they need. The patient presses the alarm button no matter what they need, and the healthcare professional who goes to the patient room understands the need of the patient after the they have heard the alarm and directs the relevant healthcare professional who will provide the service needed by the patient to the patient in the present art. This situation causes a loss of time in meeting the needs of the patient and is inefficient as it requires an additional guidance process after the request is understood because the need is not fully known at the first time.
Healthcare professionals should wear protective equipment to go to the rooms of patients who are under quarantine especially during difficult pandemic periods such as COVID-19 (coronavirus) etc. in addition to the above-mentioned disruptions. Even for a small need, it means a long preparation time for the healthcare professional to equip the equipment and go to the patient and meet their needs. However, the same preparation must be performed repeatedly, which appears as inefficiency of personnel and equipment, in cases where the qualifications of the healthcare professional to intervene do not coincide with the need. Patient-HCP communication channels should be supported with the help of technological facilities in order to prevent such situations and to ensure that patient needs response times are minimized. There is a need for ergonomic and simple equipment that the patient can fully convey the subject they need.
The application numbered 2017/16246 "Patient follow-up and nurse management system" was found as a result of the research made on the subject. A solution is provided that enables nurses to record the information, notes and treatments received by the patient electronically with the help of a mobile device and to transmit the transfer notes electronically and to perform the shift transfer with the help of the application in the system. The system does not mention a solution that automatically assigns HCPs by receiving the requests of the patients.
As a result, due to the abovementioned disadvantages and the insufficiency of the current solutions regarding the subject matter, a development is required to be made in the relevant technical field.
Aim of the invention
Aim of the invention is to solve the abovementioned disadvantages by being inspired from the current conditions.
The main aim of the invention is to set forth a call system and method that accelerates and facilitates communication between patients and HCPs in hospitals.
Another aim of the invention is to determine the needs of patients in detail at the source in clinical/hospital settings, to use the workforce effectively, to develop a system and method that enables the needs to be met in a timely and fast manner.
Another aim of the invention is to create an ergonomic and simple system and method that allows patients to be used comfortably during discomfort.
Another aim of the invention is to design a system and method that minimizes the response time by ensuring that notification is sent to the assigned HCP.
The invention is a system that enables the detailed determination of the needs of patients at the source in clinical/hospital settings and the appointment of appropriate HCPs according to the request in order to fulfill the abovementioned objects. Accordingly, the system comprises; a mobile device comprising the interface enabling the user to create a request alarm by determining the request type and details for the service they need, • a server that contains the database containing the records of all HCPs working in the relevant healthcare institution, receives the request created through the said interface and receives the request from the user device, determines and assigns the appropriate HCPs according to the request type, informs the HPCs it has appointed, keeps a record of the requests created by the users, and reports the data it keeps with the machine learning algorithms it has.
The invention also includes a method that enables the detailed determination of the needs of patients at the source in clinical/hospital settings and the appointment of appropriate HCPs according to the request. Accordingly, the method comprises the following process steps;
• the user creates the request alarm by selecting one of the request types presented to them on the interface running on a mobile device,
• communicating the created request alarm to the server that assigns the HCPs by receiving the request alarms through the mobile device,
• the server processes the request alarm sent to it and determines the request type, automatically determines the HCPs suitable for the determined request from the HCP database, and assigns the request to the determined HCPs,
• the server sends a notification to the mobile device of the assigned HCP and the relevant HCPs are directed to the patient,
• registering the request record in the database on the server for use in analyses that can be performed later and analyzing the said information using machine learning techniques on the server.
The structural and characteristic features and all the advantages of the invention will be understood more clearly by means of the figures and the detailed description with reference to these figures given below and therefore, the evaluation should be made by taking these figures and the detailed description into consideration.
Figures for Understanding of the Invention
Figure 1 is a schematic view of the system according to the invention.
Description of the Part References
1 . Mobile device
2. Interface
3. Server Detailed Description of the Invention
The preferred embodiments of the inventive system and method is described by means of examples only for clarifying the subject matter in this detailed description. The invention is a system that enables the detailed determination of the needs of patients at the source in clinical/hospital settings and the appointment of appropriate HCPs according to the request. Figure-1 shows the schematic view of the system of the invention. Accordingly, the system includes a mobile device (1 ) containing an interface (2) that enables the user to create a request alarm by determining the request type and details for the service they need, a database containing the records of all HCPs working in the relevant healthcare institution, a server (3) that receives the request created through the said interface (2) and receives the request from the user device (1), determines and assigns the appropriate HCPs according to the request type, informs the HCPs it has appointed, keeps a record of the requests created by the users, and reports the data it keeps with the machine learning algorithms it has.
The operating principle of the system is as follows:
The user is defined as a patient receiving treatment in a healthcare institution. The mobile device (1) can be characterized as tablet, smartphone, handheld computer, computer, etc. in different preferred embodiments of the system. The said mobile device (1 ) has an interface (2) that allows the user to create request alarms. The user creates the request alarm by selecting one of the request types presented to them on the interface (2) running on the mobile device (1).
The following types of requests are presented to the user in the preferred embodiment of the system:
- Pain o The pain region is selected on the image shown on the interface (2). The user selects the pain area as "anterior" and/or "posterior" from the "muscle", "bone", or "internal organ" options presented to them. o Pain severity is selected over the pain image on the screen.
- Water o Water Only o Carbonic Acid o Additional request - Other o Infusion o Nausea o Toilet o Blood Pressure o Mobilization o Question o Catheter o Stoma o Re-cover Bed
The request created depending on the selected request is transmitted to the server (3) via the mobile device (1) of the alarm. The server (3) processes the request alarm sent to it and determines the request type and automatically determines the HCPs suitable for the determined request from the HCP database. The request is then assigned to the designated appropriate HPCs. The server (3) directs the relevant HCPs to the patient by sending a notification to the assigned HCPs' mobile device, preferably via SMS. The request record is saved in the database on the server (3) for use in analyses that can be performed later. The analysis and reporting of assistance requests can be provided with periodic reporting. Detailed analyses based on patients, departments, HCPs, etc. are carried out to conduct service improvement studies and to create the infrastructures of proactive approaches in this way.
The invention provides information to the system when the HCPs reaches the inpatient patient in the preferred embodiment of the system. The system processes this data over time and categorizes and reports the HCPs. The request and the duration to meet the request is evaluated for the HCP, inpatient room, and the relevant outpatient clinics. These data are interpreted by machine learning and it is ensured that the most accurate HCP reach the patient in the fastest way possible. Reports are prepared on which HCP finalized which work and in what period on the HCP side. It accelerates the processes for both the patient and the hospital in this way.
Information such as weather, calendar, and time can also be presented to the user through the interface (2) in addition to the feature of creating an alarm through the user's interface (2) in one of the preferred embodiments of the system. The user can query the information of the HCP taking care of them through the interface (2) running on the mobile device (1 ) in another preferred embodiment of the system. The request received through the interface (2) is queried from the database running on the server (3) and the information of the relevant HCP is presented to the user through the interface (2). The information of the relevant HCP such as shifts, title, languages they can speak, education level, gender, telephone number, age, etc. is accessed in this way.
The user can query the hospital information in the database of the server (3) through the mobile interface (2) in another preferred embodiment of the system. The user can access information such as hospital address, hospital phone, e-mail addresses of hospital and hospital officials, hospital transportation information, hospital entrance-exit doors (floor, emergency exit door, door name), parking information, as well as news and activities in the hospital, digital copies of hospital brochures and brochures names, brochure image, brochure description, date of publication, etc. in this context.
The user can order food/beverage through the interface (2) on the mobile device (1) in another preferred embodiment of the system. The user can choose from the menus created by the hospital cafeteria through the interface (2) and place an order and observe the status of their order. Users can search and create orders using the food type, food name, hospital unit where the food can be served and/or beverage name, beverage type, hospital unit where the beverage can be served and/or menu name, menu foods, menu beverages, menu availability times. The user can also see the list of previous orders together with the order number, ordering patient name, patient room number, patient clinic name, etc.
One of the biggest problems of hospitals serving multinational patients is communication. Therefore, the user can access online translation services through the interface (2) running on the mobile device (1 ) in order to minimize this problem in another preferred embodiment of the system. In addition, patients can access various TV, radio, movie/series platform, game, and Internet access through the interface (2) running on the mobile device (1) to increase patient comfort.

Claims

7
1 . A system that enables the detailed determination of the needs of patients at the source in clinical/hospital settings and the appointment of appropriate HCPs according to the request, characterized by comprising;
• a mobile device (1) comprising the interface (2) enabling the user to create a request alarm by determining the request type and details for the service they need,
• a server (3) that contains the database containing the records of all HCPs working in the relevant healthcare institution, receives the request created through the said interface (2) and receives the request from the user device (1), determines and assigns the appropriate HCPs according to the request type, informs the HCPs it has appointed, keeps a record of the requests created by the users, and reports the data it keeps with the machine learning algorithms it has.
2. A system according to claim 1 , characterized in that; the said mobile device (1) is a tablet/smartphone/computer/handheld computer.
3. A system according to claim 1 , characterized in that; the said server (3) comprises a database containing hospital information.
4. A system according to claim 3, characterized in that; the said database contains at least one of the e-mail addresses of hospital address, hospital phone, hospital and hospital officials, hospital transportation information, hospital entrance-exit doors (floor, whether there is an emergency exit door, door name), parking information, news and activity information in the hospital, digital copies of hospital brochures, brochure names, brochure images, brochure description, and the date of publication of the brochure.
5. A system according to claim 1 , characterized in that; the said server (3) comprises a database containing at least one of the information on HCPs on shifts, title, languages they can speak, education level, gender, telephone number, age.
6. A system according to claim 1 , characterized in that; the said server (3) comprises a database containing a list of food, beverages, and menus offered by the hospital cafeteria and order records.
7. A system according to claim 1 , characterized in that; the said mobile device (1) comprises an interface (2) providing time, date, weather, calendar information. 8
8. A system according to claim 1 , characterized in that; the said mobile device (1) comprises an interface (2) enabling querying of hospital information.
9. A system according to claim 1 , characterized in that; the said mobile device (1) comprises an interface (2) enabling querying the information on HCPs taking care of the patient.
10. A system according to claim 1 , characterized in that; the said mobile device (1 ) comprises an interface (2) providing online translation, TV, radio, movie/series platform, games, and internet access.
11. A system according to claim 1 , characterized in that; the said mobile device (1 ) comprises an interface (2) enabling the user to order food from the menus provided to them and/or to query previous orders.
12. A method that enables the detailed determination of the needs of patients at the source in clinical/hospital settings and the appointment of appropriate HCPs according to the request, characterized by comprising; the following process steps;
• the user creates the request alarm by selecting one of the request types presented to them on the interface (2) running on the mobile device (1),
• communicating the created request alarm to the server (3) that assigns the HCPs by receiving the request alarms through the mobile device (1 ),
• the server (3) processes the request alarm sent to it and determines the request type, automatically determines the HCPs suitable for the determined request from the HCP database, and assigns the request to the determined HCPs,
• the server (3) sends a notification to the mobile device of the assigned HCP and the relevant HCPs are directed to the patient,
• registering the request record in the database on the server (3) for use in analyses that can be performed later and analyzing the said information using machine learning techniques on the server (3).
13. A method according to claim 12, characterized in that; the method comprises the process step of querying the hospital information in the database of the server (3) through the interface (2) running on the mobile device (1).
14. A method according to claim 13, characterized in that; the method comprises a process step that the user queries at least one of the hospital address, hospital 9 phone, e-mail addresses of hospital and hospital officials, hospital transportation information, hospital entrance-exit doors (floor, whether there is an emergency exit door, door name), parking information, news and activity information in the hospital, digital copies of hospital brochures, brochure names, brochure images, brochure description, and the date of publication of the brochure via the interface (2) and server (3) database running on the mobile device (1). A method according to claim 12, characterized in that; the method comprises the process step of querying at least one of the information on the HCPs on shifts, title, languages they can speak, education level, gender, telephone number, age of the HCP on the server (3) database through the interface (2) running on the mobile device (1 ). A method according to claim 12, characterized in that; the method comprises the process step of searching and ordering the food type, food name, hospital unit where the food can be served and/or beverage name, beverage type, hospital unit where the beverage can be served and/or menu name, menu foods, menu beverages, menu availability times through the interface (2) running on the mobile device (1 ). A method according to claim 12, characterized in that; the method comprises the process step of querying the list of previous orders through the interface (2) running on the mobile device (1) from the database of the server (3) using the order number, ordering patient name, patient room number, patient clinic name information. A method according to claim 17, characterized in that; the method comprises the process step of querying the status of the orders placed by the user through the interface (2) running on the mobile device (1). A method according to claim 12, characterized in that; the user can access online translation (translate), TV, radio, movie/series platform, games, and Internet access through the interface (2) running on the mobile device (1 ). A method according to claim 12, characterized in that; the method comprises the process step of selecting the "Pain" option from the request types presented to the user on the interface (2) running on a mobile device (1). A method according to claim 20, characterized in that; the method comprises the process step of selecting the pain region and pain severity at the interface (2) running on a mobile device (1). 10
22. A method according to claim 12, characterized in that; the method comprises the process step of selecting the "Water" option from the request types presented to the user on the interface (2) running on a mobile device (1 ).
23. A method according to claim 22, characterized in that; the method comprises the process step of selecting one or more of the "Water Only", "Carbonic Acid", "Additional Request" options on the interface (2) running on a mobile device (1).
24. A method according to claim 12, characterized in that; the method comprises the process step of selecting the "Other" option from the request types presented to the user on the interface (2) running on a mobile device (1 ).
25. A method according to claim 24, characterized in that the method comprises the process step of user selecting one or more of the following;
• infusion
• nausea
• toilet
• blood pressure
• mobilization
• question
• catheter
• stoma
• re-cover the bed on the interface (2) running on a mobile device (1).
26. A method according to claim 12, characterized in that; the server (3) comprises the process step of sending a notification via SMS to the mobile device of the assigned HCP.
27. A method according to claim 12, characterized in that; the method comprises the process step of receiving information such as weather, calendar, time through the user interface (2).
28. A method according to claim 12, characterized in that; the method comprises the process step of categorizing and reporting the data recorded by the said server (3) to the database as the incoming request and the time of meeting the incoming request. 11
29. A method according to claim 12, characterized in that; the method comprises the process step of categorizing and reporting the data recorded by the said server (3) in the database as incoming request to the relevant hospital department and the time of meeting the request. 30. A method according to claim 21 , characterized in that; the method comprises the process step of selecting the pain region as "muscle", "bone", or "internal organ" at the interface (2) running on a mobile device (1 ).
31 . A method according to claim 21 , characterized in that; the method comprises the process step of selecting the pain region as "muscle", "bone", or "internal organ" in the interface (2) running on a mobile device (1) as the anterior and/or posterior region.
32. A method according to claim 28 or claim 29, characterized in that; the method comprises the process step of improving HCP assignments by analyzing the data categorized as incoming request and the time of meeting the incoming request with machine learning techniques.
PCT/TR2021/051171 2021-08-10 2021-11-09 Patient request system and method WO2023018390A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
TR2021012638 2021-08-10
TR2021/012638 TR2021012638A2 (en) 2021-08-10 PATIENT REQUEST SYSTEM AND METHOD

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