An inter-hospital diagnosis and information sharing system supported with 5g and IoT

Abstract

The present invention relates to a system which enables to share the inter-hospital information obtained from patients'medical data, by using next generation communication technologies such as 5G and Internet of Things (loT) technologies, in a safe way by means of blockchain technology support; and comprises disease tracking, diagnosis and diagnosis applications supported with artificial intelligence.

Description

[0001] AN INTER-HOSPITAL DIAGNOSIS AND INFORMATION SHARING SYSTEM SUPPORTED WITH 5G AND IOT

[0002] Technical Field

[0003] The present invention relates to a system for inter-hospital sharing the information obtained from patients’ medical data, by using next generation communication technologies such as 5G and Internet of Things (loT) technologies.

[0004] Background of the Invention

[0005] Data sharing is considered as a critical infrastructure for hospitals simnce it is an important parameter for patient diagnosis, treatment and follow-up. Today, this problem is tried to be solved by hospitals using their own data centers and servers; but due to data security reasons, hospitals do not have the opportunity to share experience and information among each other. However, data sharing between hospitals plays a critical role in terms of diagnosis and treatment, particularly in critical situations such as the need to apply fast and effective treatment methods to patients being observed during the pandemic. Therefore, there is a need for a new system which can solve the problem by taking all these problems into consideration.

[0006] The Chinese patent document no. CN115440350A, an application included in the state of the art, discloses a hospital resource sharing system based on technologies such as internet of things, 5G, big data analysis. The invention provides a hospital agent construction method comprising the following steps: constructing a full- intelligent scene, namely continuously improving the medical experience diagnosis and treatment efficiency and quality of a patient and improving the operation management water quality and innovation capability through the following steps. Thus, a boost to hospital digital transformation is provided based on the development of new technologies such as cloud and 5G, Al, Internet of Things, big data and so on, centering on the user's sense of experience from the doctor, nurse and patient perspective and various existing systems are managed through a framework, thus enabling a scanning of the interoperability between systems. The mechanism support service for solving the problems of redundancy and repeated construction guarantees the ability of data sharing and generality of the construction and operation of the mechanism and the system has a broad application prospect. According to the invention, resource sharing and value maximization are realized and the problems of a traditional informatization construction mode of intelligent services, poor business interaction between fields, insufficient information integration between patient services and medical businesses, and no online and offline integrated medical service experience are solved.

[0007] Summary of the Invention

[0008] An objective of the present invention is to realize a system for inter-hospital sharing the information obtained from patients’ medical data, by using next generation communication technologies such as 5G and Internet of Things (loT) technologies.

[0009] Detailed Description of the Invention

[0010] “An Inter-Hospital Diagnosis and Information Sharing System Supported with 5G and loT” realized to fulfil the objective of the present invention is shown in the figure attached, in which:

[0011] Figure l is a schematic view of the inventive system.

[0012] The components illustrated in the figure are individually numbered, where the numbers refer to the following:

[0013] 1. System 2. Patient information management server

[0014] 3. Data collection and processing server

[0015] 4. Location-based analytical review and emergency notification server

[0016] 5. Artificial intelligence diagnosis and identification server

[0017] 6. Security and privacy management server

[0018] 7. Server

[0019] The inventive system (1) for inter-hospital sharing the information obtained from patients’ medical data, by using next generation communication technologies such as 5G and Internet of Things (loT) technologies; comprises at least one patient information management server (2) which ensures the standardized collection, management and sharing of medical data in the healthcare sector and the secure management of patients' health information; at least one data collection and processing server (3) which ensures that medical data from different hospitals is collected and processed and organized to make it usable for health services; at least one location-based analytical review and emergency notification server (4) which analyzes how diseases spread regionally, identifies whether they are on the rise in certain areas, and generates emergency notifications, -at least one Al diagnosis and identification server (5) which enables the use of Al models to analyze medical data, identifies diseases and creates treatment recommendations,

[0020] - at least one security and privacy management server (6) which performs actions to protect patients' and healthcare providers' information, with a focus on data security and privacy in the healthcare sector,

[0021] - at least one server (7) which communicates and exchanges data with all servers (2, 3, 4, 5, 6), improves data security in the healthcare industry while helping patients get better healthcare and healthcare professionals have easier and more secure data access. The patient information management server (2) included in the inventive system (1) is configured to be in communication with the server (7) to exchange data over any communication protocol. The patient information management server (2) is configured to manage personal and demographic information of patients. The patient information management server (2) is configured to store and update basic information such as patient name, age, gender and place of residence. The patient information management server (2) is configured to retrieve health-related data such as medications, allergies, past medical conditions, etc. The patient information management server (2) is configured to generate a health history and profile of patients. The patient information management server (2) is configured to create a database containing definitions, symptoms, causes and treatment options of various diseases. The patient information management server (2) is configured to guide diagnostic and treatment processes by sharing diagnoses and treatments of diseases with healthcare professionals. The patient information management server (2) is configured to be a repository of the latest medical research and up-to-date health information. The patient information management server (2) is configured to standardize the diagnosis and treatment of patients. The patient information management server (2) is configured to enable the creation and secure storage of patient diagnosis, diagnosis and treatment forms that contain all medical details, from test results, to diagnoses, to treatments administered.

[0022] The data collection and processing server (3) included in the inventive system (1) is configured to be in communication with the server (7) to exchange data over any communication protocol. The data collection and processing server (3) is configured to be in communication to enable the collection of medical test data such as blood tests, magnetic resonance imaging (MRI), electrocardiography (ECG), x- ray, tomography generated by medical devices and loT (Internet of Things) sensors used in hospitals. The data collection and processing server (3) is configured to be in communication to collect data on the immediate health status of patients and to integrate the data into a wider data processing process. The data collection and processing server (3) is configured to communicate to perform cleaning, organization and integration of the collected data. The data collection and processing server (3) is configured to be in communication to detect and correct erroneous or incomplete data and to bring data from different sources into a compatible format. The data collection and processing server (3) is configured to communicate to ensure secure and long-term storage of medical data. The data collection and processing server (3) is configured to maintain separate records for each patient and to communicate to store these records securely. The data collection and processing server (3) is configured to combine the different medical information received from patients and is configured to communicate to help generate disease-by-disease data. The data collection and processing server (3) is configured to communicate to ensure the security and accessibility of data using big data processing techniques and big data storage methods. The data collection and processing server (3) is configured to communicate to ensure that intra- and interhospital data is transmitted to healthcare providers quickly and securely to enable accurate diagnoses and treatments.

[0023] The location-based analytical examination and emergency notification server (4) included in the inventive system (1) is configured to be in communication with the server (7) to exchange data over any communication protocol. The location-based analytical examination and emergency notification server (4) is configured to analytically examine how diseases are distributed geographically. The locationbased analytical review and emergency notification server (4) is configured to analyze whether diseases are more prevalent in certain regions using regional data. The location-based analytical review and emergency notification server (4) is configured to provide early warnings about disease outbreaks or health issues in a particular region. The location-based analytical review and emergency notification server (4) is configured to visualize and present the results of big data analysis in an understandable way. The location-based analytical review and emergency notification server (4) is configured to visually represent disease distribution and trends using graphs, maps and graphical tools to help healthcare professionals better understand data and make quick decisions. The location-based analytics review and emergency notification server (4) is configured to monitor the spread of diseases and unexpected events. The location-based analytical review and emergency notification server (4) is configured to track rare diseases, regionally unexpected disease outbreaks or diseases with large societal impact. The location-based analytical review and emergency notification server (4) is configured to generate rapid notifications during emergencies and incidents, enabling healthcare providers and administrators to react quickly. The location-based analytical review and emergency notification server (4) is being configured to support disease control and emergency management and to ensure that the health system is prepared for crisis situations.

[0024] The Al diagnosis and identification server (5) included in the inventive system (1) is configured to be in communication with the server (7) to exchange data over any communication protocol. The Al diagnosis and identification server (5) is configured to process medical data from distributed data sources using distributed Al techniques, such as federated learning, to address the key issues of security, privacy and data transfer efficiency of artificial intelligence (Al) applications in the healthcare industry. The Al diagnosis and identification server (5) processes the medical data sent from the source hospitals to the server (7) using Al techniques such as federated learning and sends it to the server (7). This process provides benefits in terms of privacy and security as it sends processed data instead of raw data.". The Al diagnosis and identification server (5) is configured to process all data locally without the need to send it to the server (7) and only send it to the server (7) for model updates. The Al diagnosis and identification server (5) is configured to provide the possibility to use a wider pool of data by bringing together distributed data sources, such as different hospitals, clinics or healthcare organizations. The Al diagnosis and identification server (5) is configured to provide access to customized Al models for different healthcare departments (e.g., internal medicine, surgery, pediatrics, orthopedics, etc.). The Al diagnosis and identification server (5) is configured to perform medical diagnoses of patients using Al models and provide treatment recommendations. The Al diagnosis and identification server (5) is configured to make accurate diagnoses and create appropriate treatment plans, taking into account the medical history and current health status of patients. The Al diagnosis and identification server (5) is configured to provide information and recommendations to healthcare professionals. The Al diagnosis and identification server (5) is configured to communicate with the location-based analytical review and emergency notification server (4) and perform advanced analytics to predict future disease trends by examining regional distributions of diseases. The Al diagnosis and identifications server (5) is configured to help identify where diseases are more prevalent and which areas are likely to experience problems in the future. The Al diagnostic server (5) is configured to help healthcare providers take preventative measures.

[0025] The security and privacy management server (6) included in the inventive system (1) is configured to be in communication with the server (7) to exchange data over any communication protocol. The security and privacy management server (6) is configured to authenticate patients and healthcare professionals and authorize access to the data. The security and privacy management server (6) is configured to ensure that only authorized persons can access the data, thanks to access controls set according to the roles and permissions of the users. The security and privacy management server (6) is configured to encrypt all data for the security of medical data. The security and privacy management server (6) is configured to control access to encrypted data by a centralized control mechanism. The security and privacy management server (6) is configured to provide effective protection against unauthorized access and misuse of the data by recording which users access the data, when and for what purpose. The security and privacy management server (6) is configured to ensure that access to and changes to data are recorded on the blockchain in a transparent, indelible and unalterable way, using blockchain technology for securing medical data. The security and privacy management server (6) is configured to prevent hospitals or healthcare providers from manipulating or concealing data. The security and privacy management server (6) is configured to enable secure and reliable storage and sharing of health data via blockchain. The server (7) included in the inventive system (1) is configured to communicate and exchange data with the patient information management server (2), data collection and processing server (3), location-based analytical examination and emergency notification server (4), artificial intelligence diagnosis and diagnosis server (5) and security and privacy management server (6). The server (7) is configured to enable disease control and rapid response to crisis situations by monitoring and analyzing diseases, contributing to better healthcare for patients and easier and safer access for healthcare professionals, while increasing data security in the healthcare sector.

[0026] Industrial Application of the Invention

[0027] The inventive system (1) changes traditional approaches to healthcare, creating a more efficient and effective healthcare system. Inter-hospital information sharing, Al diagnostics and 5G communication enable faster diagnosis and better treatment of patients. System (1) enables patients to better manage their medical data and medical staff from different hospitals to collaborate more closely. This also allows Al diagnostic modules to be customized according to the needs of each healthcare department, providing more accurate diagnoses and treatment recommendations across different medical specialties. System (1) enables inter-hospital communication over 5G and beyond mobile communication networks, ensuring that patients' medical data is better managed and healthcare professionals in different hospitals can collaborate more closely. This provides a great advantage in remote medical consultancy, emergency response and medical research. System (1) facilitates information sharing between hospitals using Al-based federated learning. In this way, the knowledge of one hospital can be shared with other hospitals, helping patients receive more comprehensive and accurate diagnoses. System (1) also maximizes data assurance with blockchain technology and protects patients' personal data. This, in turn, increases patient trust. Within these basic concepts; it is possible to develop various embodiments of the inventive “Inter-Hospital Diagnosis and Information Sharing System (1) Supported with 5G and loT”; the invention cannot be limited to examples disclosed herein and it is essentially according to claims.

Claims

CLAIMS1. A system (1) for inter-hospital sharing the information obtained from patients’ medical data, by using next generation communication technologies such as 5G and Internet of Things (loT) technologies; comprising at least one patient information management server (2) which ensures the standardized collection, management and sharing of medical data in the healthcare sector and the secure management of patients' health information; at least one data collection and processing server (3) which ensures that medical data from different hospitals is collected and processed and organized to make it usable for health services; at least one location-based analytical review and emergency notification server (4) which analyzes how diseases spread regionally, identifies whether they are on the rise in certain areas, and generates emergency notifications, -at least one Al diagnosis and identification server (5) which enables the use of Al models to analyze medical data, identifies diseases and creates treatment recommendations,- at least one security and privacy management server (6) which performs actions to protect patients' and healthcare providers' information, with a focus on data security and privacy in the healthcare sector,- at least one server (7) which communicates and exchanges data with all servers (2, 3, 4, 5, 6), improves data security in the healthcare industry while helping patients get better healthcare and healthcare professionals have easier and more secure data access.

2. A system (1) according to Claim 1; characterized by the patient information management server (2) which is configured to be in communication with the server (7) to exchange data over any communication protocol.

3. A system (1) according to Claim 1 or 2; characterized by the patient information management server (2) which is configured to manage personal and demographic information of patients.

4. A system (1) according to any of the preceding claims; characterized by the patient information management server (2) which is configured to store and update basic information such as patient name, age, gender and place of residence.

5. A system (1) according to any of the preceding claims; characterized by the patient information management server (2) which is configured to retrieve health-related data such as medications, allergies, past medical conditions, etc.

6. A system (1) according to any of the preceding claims; characterized by the patient information management server (2) which is configured to generate a health history and profile of patients.

7. A system (1) according to any of the preceding claims; characterized by the patient information management server (2) which is configured to create a database containing definitions, symptoms, causes and treatment options of various diseases.

8. A system (1) according to any of the preceding claims; characterized by the patient information management server (2) which is configured to guide diagnostic and treatment processes by sharing diagnoses and treatments of diseases with healthcare professionals.

9. A system (1) according to any of the preceding claims; characterized by the patient information management server (2) which is configured to be a repository of the latest medical research and up-to-date health information.

10. A system (1) according to any of the preceding claims; characterized by the patient information management server (2) which is configured to standardize the diagnosis and treatment of patients.

11. A system (1) according to any of the preceding claims; characterized by the patient information management server (2) which is configured to enable the creation and secure storage of patient diagnosis, diagnosis and treatment forms that contain all medical details, from test results, to diagnoses, to treatments administered.

12. A system (1) according to any of the preceding claims; characterized by the data collection and processing server (3) which is configured to be in communication with the server (7) to exchange data over any communication protocol.

13. A system (1) according to any of the preceding claims; characterized by the data collection and processing server (3) which is configured to be in communication to enable the collection of medical test data such as blood tests, magnetic resonance imaging (MRI), electrocardiography (ECG), x- ray, tomography generated by medical devices and loT (Internet of Things) sensors used in hospitals.

14. A system (1) according to any of the preceding claims; characterized by the data collection and processing server (3) which is configured to be in communication to collect data on the immediate health status of patients and to integrate the data into a wider data processing process.

15. A system (1) according to any of the preceding claims; characterized by the data collection and processing server (3) which is configured to communicate to perform cleaning, organization and integration of the collected data.

16. A system (1) according to any of the preceding claims; characterized by the data collection and processing server (3) which is configured to be in communication to detect and correct erroneous or incomplete data and to bring data from different sources into a compatible format. The17. A system (1) according to any of the preceding claims; characterized by the data collection and processing server (3) which is configured to communicate to ensure secure and long-term storage of medical data.

18. A system (1) according to any of the preceding claims; characterized by the data collection and processing server (3) which is configured to maintain separate records for each patient and to communicate to store these records securely.

19. A system (1) according to any of the preceding claims; characterized by the data collection and processing server (3) which is configured to combine the different medical information received from patients and is configured to communicate to help generate disease-by-disease data.

20. A system (1) according to any of the preceding claims; characterized by the data collection and processing server (3) which is configured to communicate to ensure the security and accessibility of data using big data processing techniques and big data storage methods.

21. A system (1) according to any of the preceding claims; characterized by the data collection and processing server (3) which is configured tocommunicate to ensure that intra- and inter-hospital data is transmitted to healthcare providers quickly and securely to enable accurate diagnoses and treatments.

22. A system (1) according to any of the preceding claims; characterized by the location-based analytical examination and emergency notification server (4) which is configured to be in communication with the server (7) to exchange data over any communication protocol.

23. A system (1) according to any of the preceding claims; characterized by the location-based analytical examination and emergency notification server (4) which is configured to analytically examine how diseases are distributed geographically.

24. A system (1) according to any of the preceding claims; characterized by the location-based analytical examination and emergency notification server (4) which is configured to analyze whether diseases are more prevalent in certain regions using regional data.

25. A system (1) according to any of the preceding claims; characterized by the location-based analytical examination and emergency notification server (4) which is configured to provide early warnings about disease outbreaks or health issues in a particular region.

26. A system (1) according to any of the preceding claims; characterized by the location-based analytical examination and emergency notification server (4) which is configured to visualize and present the results of big data analysis in an understandable way.

27. A system (1) according to any of the preceding claims; characterized by the location-based analytical examination and emergency notificationserver (4) which is configured to visually represent disease distribution and trends using graphs, maps and graphical tools to help healthcare professionals better understand data and make quick decisions.

28. A system (1) according to any of the preceding claims; characterized by the location-based analytical examination and emergency notification server (4) which is configured to monitor the spread of diseases and unexpected events.

29. A system (1) according to any of the preceding claims; characterized by the location-based analytical examination and emergency notification server (4) which is configured to track rare diseases, regionally unexpected disease outbreaks or diseases with large societal impact.

30. A system (1) according to any of the preceding claims; characterized by the location-based analytical examination and emergency notification server (4) which is configured to generate rapid notifications during emergencies and incidents, enabling healthcare providers and administrators to react quickly.

31. A system (1) according to any of the preceding claims; characterized by the location-based analytical examination and emergency notification server (4) which is configured to support disease control and emergency management and to ensure that the health system is prepared for crisis situations.

32. A system (1) according to any of the preceding claims; characterized by the Al diagnosis and identification server (5) which is configured to be in communication with the server (7).

33. A system (1) according to any of the preceding claims; characterized by the Al diagnosis and identification server (5) which is configured to process medical data from distributed data sources using distributed Al techniques, such as federated learning, to address the key issues of security, privacy and data transfer efficiency of artificial intelligence (Al) applications in the healthcare industry.

34. A system (1) according to any of the preceding claims; characterized by the Al diagnosis and identification server (5) which is configured to process the medical data sent from the source hospitals to the server (7) using Al techniques such as federated learning and sends it to the server (7).

35. A system (1) according to any of the preceding claims; characterized by the Al diagnosis and identification server (5) which is configured to process all data locally without the need to send it to the server (7) and only send it to the server (7) for model updates.

36. A system (1) according to any of the preceding claims; characterized by the Al diagnosis and identification server (5) which is configured to provide the possibility to use a wider pool of data by bringing together distributed data sources, such as different hospitals, clinics or healthcare organizations.

37. A system (1) according to any of the preceding claims; characterized by the Al diagnosis and identification server (5) which is configured to provide access to customized Al models for different healthcare departments (e.g., internal medicine, surgery, pediatrics, orthopedics, etc.).

38. A system (1) according to any of the preceding claims; characterized by the Al diagnosis and identification server (5) which is configured to perform medical diagnoses of patients using Al models and provide treatment recommendations.

39. A system (1) according to any of the preceding claims; characterized by the Al diagnosis and identification server (5) which is configured to make accurate diagnoses and create appropriate treatment plans, taking into account the medical history and current health status of patients.

40. A system (1) according to any of the preceding claims; characterized by the Al diagnosis and identification server (5) which is configured to provide information and recommendations to healthcare professionals.

41. A system (1) according to any of the preceding claims; characterized by the Al diagnosis and identification server (5) which is configured to communicate with the location-based analytical review and emergency notification server (4) and perform advanced analytics to predict future disease trends by examining regional distributions of diseases.

42. A system (1) according to any of the preceding claims; characterized by the Al diagnosis and identification server (5) which is configured to help identify where diseases are more prevalent and which areas are likely to experience problems in the future.

43. A system (1) according to any of the preceding claims; characterized by the Al diagnosis and identification server (5) which is configured to help healthcare providers take preventative measures.

44. A system (1) according to any of the preceding claims; characterized by the security and privacy management server (6) which is configured to be in communication with the server (7) to exchange data over any communication protocol.

45. A system (1) according to any of the preceding claims; characterized by the security and privacy management server (6) which is configured to authenticate patients and healthcare professionals and authorize access to the data.

46. A system (1) according to any of the preceding claims; characterized by the security and privacy management server (6) which is configured to ensure that only authorized persons can access the data, thanks to access controls set according to the roles and permissions of the users.

47. A system (1) according to any of the preceding claims; characterized by the security and privacy management server (6) which is configured to encrypt all data for the security of medical data.

48. A system (1) according to any of the preceding claims; characterized by the security and privacy management server (6) which is configured to prevent hospitals or healthcare providers from manipulating or concealing data.

49. A system (1) according to any of the preceding claims; characterized by the security and privacy management server (6) which is configured to enable secure and reliable storage and sharing of health data via blockchain.

50. A system (1) according to any of the preceding claims; characterized by the security and privacy management server (6) which is configured to ensure that access to and changes to data are recorded on the blockchain in a transparent, indelible and unalterable way, using blockchain technology for securing medical data.

51. A system (1) according to any of the preceding claims; characterized by the security and privacy management server (6) which is configured toprevent hospitals or healthcare providers from manipulating or concealing data.

52. A system (1) according to any of the preceding claims; characterized by the security and privacy management server (6) which is configured to enable secure and reliable storage and sharing of health data via blockchain.

53. A system (1) according to any of the preceding claims; characterized by the server (7) which is configured to communicate and exchange data with the patient information management server (2), data collection and processing server (3), location-based analytical examination and emergency notification server (4), artificial intelligence diagnosis and diagnosis server (5) and security and privacy management server (6).

54. A system (1) according to any of the preceding claims; characterized by the server (7) which is configured to enable disease control and rapid response to crisis situations by monitoring and analyzing diseases, contributing to better healthcare for patients and easier and safer access for healthcare professionals, while increasing data security in the healthcare sector.

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