Artificial intelligence-based medical management system and method

Abstract

There is a challenge in that doctors, hospitals, insurance companies, or patients cannot obtain the necessary medical information in a timely manner when they need it. Therefore, by providing patients with up-to-date digital medical records that can be securely accessed from anywhere, we can strengthen collaboration and communication among different healthcare providers and institutions. [Solution] This is solved by an AI system, method, and computer program product for patient diagnosis and treatment suggestion, which uses advanced AI algorithms to analyze all available data to diagnose diseases and suggest treatments.

Description

Technical Field

[0001] Broadly speaking, the present invention relates to a medical management system and method based on artificial intelligence, and particularly to an AI system, method, and computer program product specialized for maintaining, updating, and intelligently analyzing patient information for the purpose of providing diagnostic and therapeutic insights.

Background Art

[0002] In the field of medicine, a variety of tools are available for examining and treating patients' medical conditions. Conventionally, doctors directly examined patients, identified the problems and medical conditions experienced by patients based on the vast personal knowledge obtained from years of research, and determined appropriate treatment methods. Over the past few decades, a wide range of reference materials for improving patient care have become available to clinicians. Especially in recent years, the available resources have been greatly expanded.

[0003] Doctors keep long-term medical records for all patients. These medical records are usually stored in the record storage location of the clinic. When a patient changes their doctor, there is no easy way for the new doctor to access the patient's past medical records unless the patient's medical records are copied and sent to the next doctor.

[0004] Electronic medical records are designed to assist doctors in monitoring patients. However, due to the lack of standardization, communication among medical staff, information exchange, and access to medical information may be difficult.

[0005] Traditionally, vast amounts of patient medical information have been stored in various formats across clinics, workplaces, hospitals, government agencies, and other facilities worldwide. These locations can be inconvenient for patients, or patients may be too critically ill to access them. While this medical information is valuable for patient management, there is no reliable method for quickly disseminating it to the organizations that support patients (e.g., doctors, hospitals, public social services agencies, workplaces, third-party payment agencies). This lack of information flow is particularly problematic in emergencies where timely treatment is crucial.

[0006] The introduction of common medical records and electronic medical records has made access to medical information easier. However, the fundamental problem remains: doctors, hospitals, insurance companies, or patients cannot obtain the necessary information in a timely manner when they need it. Currently, most medical records are stored in doctors' clinics, hospitals, or archives.

[0007] Electronic medical records (EMRs) have another challenge compared to traditional charts: the records tend to be redundant and incomplete. Data compilation and management are time-consuming, and much of the data processing is done for specific purposes rather than for comprehensive patient data management, making the system highly inefficient. For example, some hospitals manage patient medical records in multiple separate files: one for financial processing and billing, another for recording patient symptoms, and yet another for recording blood test results, and so on.

[0008] Currently, in many cases, doctors lack access to patients' past medical records, making it difficult to treat patients referred by counselors. Patient medical records are typically stored at primary care centers, preventing referring physicians from accessing them. Due to various reasons, such as clinic closures or failure to receive medical records, examinations and diagnoses may be performed without access to crucial patient records. In emergency situations where a lack of information can be critical, repeated examinations are common.

[0009] The inventors of this invention have proposed computer systems, processes, and resources to clarify all aspects of current medical history and provide patients with portable, securely accessible, and up-to-date digital medical records. This invention is relevant not only to emergency situations in patient care but also when patients relocate or transition to new healthcare providers. Furthermore, this invention provides a solution to standardize the storage and access of medical records, thereby enhancing cooperation and communication between different healthcare providers and institutions. [Overview of the Initiative]

[0010] This invention relates to an AI system, method, and computer program product for patient diagnosis and treatment recommendation, which uses advanced AI algorithms to analyze all available data to diagnose diseases and suggest treatments. The system is designed to improve the accuracy and efficiency of healthcare delivery and can provide healthcare professionals with up-to-date information and treatment options extracted based on the latest research findings and clinical data.

[0011] One embodiment of the present invention discloses an AI system, method, and computer program product that enables a patient to access or manage their own medical records. It may also provide a portable, highly flexible, patient-manageable system for storing, organizing, and processing medical information. The main focus of the present invention is to assist physicians in diagnosing diseases and determining treatment methods by analyzing all available data.

[0012] This invention provides a comprehensive and interconnected AI system and method that utilizes artificial intelligence to facilitate patient diagnosis and treatment recommendations. By connecting multiple portals and data sources, medical professionals can access a wealth of information and make well-informed decisions based on the latest research findings and clinical data.

[0013] In one embodiment of the present invention, a main AI system, method, and computer program product provide data to patients, physicians, and other institutions by collecting medical data from other interconnected AI-based systems.

[0014] As an example, the main AI system may include: at least one data source (an AI system or a system including AI functions) having medical information; a data source having personal medical data relating to at least one patient; and one or more server devices. The servers are capable of accessing the medical information and the personal medical data. The servers include an AI component that analyzes the personal medical data and the medical information in combination to identify issues requiring further attention from the patient themselves or an authorized external entity. The main AI system has communication means that enable real-time communication with the external entity, and the external entity is capable of accessing the patient's personal medical data.

[0015] In various embodiments, the main AI system collects the patient's medical history and other patient information in real time, connects to an AI system or a system containing AI functions to obtain a comprehensive electronic health record, acquires diagnostic image data, and acquires molecular biological data. Data on the patient's medications, their effectiveness, side effects, and drug interactions are also provided to the main AI system.

[0016] In one embodiment of the present invention, the main AI system acquires various items related to the patient's medical history and other patient information in real time from other AI systems or systems that include AI functions.

[0017] In some embodiments, a system is provided that includes an AI system or AI function for collecting a patient's medical history and patient information, and obtaining a comprehensive electronic health record, diagnostic image data, and molecular biological data. Data on the patient's medications, their effectiveness, side effects, and drug interactions are also provided by these methods.

[0018] In another embodiment of the present invention, the main AI system is connected to a system comprising multiple AI systems or AI functions that provide comprehensive data of electronic health records, including the patient's medical history, diagnosis, treatment, and medication.

[0019] In one embodiment of the present invention, another AI system or a system including AI functions provides genome analysis information to the main AI system.

[0020] By obtaining laboratory analysis information from other AI systems or systems that include AI functions, laboratory analysis information can also be considered in the main AI system.

[0021] Patients' electronic health records are also reviewed and analyzed through other independent, dedicated AI systems or systems that include AI functions, and then provided to the main AI system.

[0022] In another embodiment of the present invention, a system is provided that includes an AI-enabled system or AI function that provides diagnostic image data, including X-ray, MRI, CT scan, and other radiographic images of a patient, from a data source to a main AI system.

[0023] Pathological data is also examined and analyzed by other independent AI systems or systems that include AI functions, and the results of that analysis are provided to the main AI system.

[0024] In one embodiment of the present invention, the main AI system acquires molecular biological data, including proteomics and metabolomics, relating to a patient from another AI system or a system including AI functions.

[0025] Data regarding the patient's medications, their effectiveness, side effects, and drug interactions are also provided to the main AI system via an independent AI system or a system including AI functions.

[0026] Also provided is a system including another AI system or AI function that conducts an interview with a patient by asking appropriate questions based on the patient's responses, assists the physician, eliminates human bias, and provides the results to the main AI system.

[0027] In one form of the present invention, the system includes a plurality of portals (systems including AI systems or AI functions), each designed to connect different stakeholders within the healthcare system. These portals include: PatientConnect.ai (a system that enables patients to collaborate with healthcare professionals and access medical information and resources), GenomicAnalysis.ai (a system that provides genomic analysis information to healthcare professionals), LabResults.ai (a system that provides laboratory analysis information to healthcare professionals), PatientRecords.ai (a system that enables healthcare professionals to access electronic health records and patient data), DiagnosticImaging.ai (a system that provides image analysis information to healthcare professionals), DiagnosticPathology.ai (a system that provides pathological analysis information to healthcare professionals), MolecularBiology.ai (a system that provides molecular biology analysis information to healthcare professionals), Pharmacotherapy.ai (a system that presents AI-based drug therapy recommendations), and Anamnesis.ai (an AI-based system that conducts an interview with the patient, asks appropriate questions based on the patient's responses, assists the physician, and eliminates human bias).

[0028] In one form of the present invention, a method is provided in which the main AI system analyzes data collected from the above-described system including an AI system or AI function and provides diagnostic and treatment recommendations to healthcare professionals and other users.

[0029] In one embodiment of the present invention, data collected from the above-described system including an AI system or AI function is analyzed by the main AI system and diagnostic and treatment recommendations are provided to healthcare professionals and other users.

[0030] In one embodiment of the present invention, a main AI system is connected to an AI system or a system including an AI function that collects medical histories and other patient information in real time and provides comprehensive electronic health records, acquires diagnostic image data, and provides a method for acquiring molecular biology data. Data regarding a patient's medications, their efficacy, side effects, and drug interactions is also provided to the main system.

[0031] In one embodiment of the present invention, a method is provided for a main AI system to acquire items related to a patient's medical history and other patient information in real time from another AI system or a system including an AI function.

[0032] In one embodiment of the present invention, a method is provided for providing a system including an AI system or an AI function for collecting medical histories and patient information and acquiring comprehensive electronic health records, diagnostic image data, and molecular biology data. Data regarding a patient's medications, their efficacy, side effects, and drug interactions is also provided by these methods. The collected data is then provided to the main AI system.

[0033] In another embodiment of the present invention, a method is presented for providing comprehensive data related to a patient's electronic health record (including the patient's medical history, diagnosis, treatment, and medication) by a main AI system connected to a system including a plurality of AI systems or AI functions.

[0034] In one embodiment of the present invention, a method is presented for a main AI system to acquire genomic analysis information from another AI system or a system including an AI function.

[0035] In one embodiment of the present invention, a method is presented for a main AI system to also consider laboratory analysis information by acquiring laboratory analysis information from another AI system or a system including an AI function.

[0036] One embodiment of the present invention presents a method in which a patient's electronic health record is reviewed and analyzed via another independent, dedicated AI system or a system including AI functions, and then provided to a main AI system.

[0037] In another embodiment of the present invention, a method is presented for providing an AI system or a system including an AI function that acquires diagnostic image data, including X-ray, MRI, CT scan, and other radiographic images of a patient, for a main AI system.

[0038] In one embodiment of the present invention, pathology data is also examined and analyzed by an independent AI system or a system including AI functions, and a method is presented in which this analyzed data is provided to the main AI system.

[0039] One embodiment of the present invention provides a method for a main AI system to acquire molecular biological data (including proteomics and metabolomics) of a patient from another AI system or a system that includes AI functions.

[0040] In another embodiment of the present invention, a method is presented in which data on a patient's medications, their efficacy, side effects, and drug interactions are also provided to the main AI system via an independent AI system or a system including AI functions.

[0041] Another embodiment of the present invention provides a system that includes another AI system or AI function that assists a physician and eliminates human bias by conducting a medical interview with a patient by asking appropriate questions based on the patient's responses, and provides the results to the main AI system.

[0042] One embodiment of the present invention provides a method in which the system used includes multiple portals (AI systems or systems including AI functions), each portal designed to connect different stakeholders in a healthcare system. These portals include: PatientConnect.ai (a system that enables patients to collaborate with healthcare professionals and access medical information and resources), GenomicAnalysis.ai (a system that provides genomic analysis information to healthcare professionals), LabResults.ai (a system that provides laboratory analysis information to healthcare professionals), PatientRecords.ai (a system that enables healthcare professionals to access electronic health records and patient data), DiagnosticImaging.ai (a system that provides image analysis information to healthcare professionals), DiagnosticPathology.ai (a system that provides pathology analysis information to healthcare professionals), MolecularBiology.ai (a system that provides molecular biology analysis information to healthcare professionals), Pharmacotherapy.ai (a system that presents AI-driven drug therapy recommendations), and Anamnesis.ai (an AI-based system that conducts interviews with patients, asks appropriate questions based on patient responses, and assists physicians in eliminating human bias).

[0043] In another embodiment of the present invention, a method is presented in which data collected from the above-mentioned AI system or a system including AI functions is analyzed by a main AI-based system to provide medical professionals and other users with diagnostic and treatment suggestions. [Brief explanation of the drawing]

[0044] [Figure 1] This is a block diagram showing an embodiment of the system of the present invention. [Figure 2] This figure shows an example of a computing device that can be used as a PMI (Patient Medical Information) device in an embodiment of the present invention. [Figure 3] This is an exemplary flowchart of user interaction in an embodiment of the present invention. [Modes for carrying out the invention]

[0045] This invention relates to a system, method, and computer program product that enables patients to access and manage their own medical records. According to this invention, a flexible, portable, patient-centered system for storing, organizing, and processing medical information can be provided. The main focus of this invention is to assist physicians in diagnosing diseases and determining treatments by analyzing all available data.

[0046] In the following explanation, “software” refers to the code and instructions that make a computer or a part of it function. Examples of software components include code snippets, information code, precompiled code, compiled code, translated code, computer programs, and logical algorithms.

[0047] A “computer” is a device or system capable of processing input, processing structured input according to specific rules, and producing output. Typical computers include: laptops, desktops, mobile devices, tablets, etc.; computers with one or more processors, or multi-core processors, operating in parallel or non-parallel; computer units; laptops; servers; clients; smart televisions; communication devices with internet connectivity; and devices capable of receiving and processing data according to one or more stored software programs and producing results. These typically include input devices, output devices, memory devices, arithmetic units, logic units, and control units.

[0048] This invention relates to an AI system, method, and computer program product for patient diagnosis and treatment suggestions, guided by advanced AI algorithms. The system is designed to improve the accuracy and efficiency of healthcare delivery, providing healthcare professionals with up-to-date information and treatment options extracted from the latest research findings and clinical data.

[0049] In one embodiment of the present invention, an AI system, method, and computer program product are disclosed that enable a patient to access and manage their own medical records. A flexible and portable patient-led system is provided for storing, organizing, and processing medical information. The main focus of the present invention is to assist physicians and patients in making decisions regarding disease diagnosis and treatment by analyzing all available data.

[0050] This invention provides a comprehensive, interconnected AI system and method that leverages artificial intelligence to facilitate patient diagnosis and treatment decisions. By connecting multiple portals and data sources, medical professionals can access a wealth of information and make informed decisions based on the latest research findings and clinical data.

[0051] In one embodiment of the present invention, a main AI system, method, and computer program product provide data to patients, physicians, and other institutions by collecting medical data from other connected AI-based systems.

[0052] In a typical embodiment, the main AI system may include: at least one data source (an AI system or a system including AI functions) having medical information; a data source having personal medical data relating to at least one patient; and one or more server devices. The servers are accessible to the medical information and personal medical data. The servers include an AI component that analyzes the personal medical data and medical information in combination to identify issues requiring further attention from the patient themselves or an authorized external entity. The system also has means of communication that enable real-time communication with an authorized external entity, which is able to access the patient's personal medical data. Importantly, the patient's personal medical data is accessible to the patient themselves.

[0053] In various embodiments, the main AI system and method connect to an AI system or a system including AI functions that collects medical history and other patient information in real time and provides a comprehensive electronic health record, acquires diagnostic image data and molecular biological data. Data on the patient's medications, their effectiveness, side effects, and drug interactions are also provided to the main system.

[0054] In one embodiment of the present invention, the main AI system and method involve the main AI system acquiring in real time various items related to a patient's medical history and other patient information from another AI system or a system including AI functions.

[0055] In some embodiments, AI systems and methods are provided for collecting medical history and patient information to obtain comprehensive electronic health records, diagnostic image data, and molecular biological data. These methods also provide data on the patient's medications, their effectiveness, side effects, and drug interactions.

[0056] Another embodiment of the present invention provides a main AI system connected to a system including multiple AI systems or AI functions that provide comprehensive data related to a patient's electronic health record (including medical history, diagnosis, treatment, and medication), and a method thereof.

[0057] One embodiment of the present invention provides a system and method in which a main AI system includes other AI systems or AI functions for acquiring genome analysis information.

[0058] Furthermore, by acquiring laboratory analysis information from other appropriate AI systems or systems that include AI functions, the main AI system can also take laboratory analysis information into consideration.

[0059] The patient's electronic health records are also reviewed and analyzed by another independent AI system or a system including AI functions using the method of this embodiment, and then provided to the main AI system.

[0060] In another embodiment of the present invention, an AI system and method are provided in which a main AI system acquires diagnostic image data, including X-ray, MRI, CT scan, and other patient radiographic images, from other AI systems or systems that include AI functions.

[0061] This method also includes a method in which pathology data is reviewed and analyzed by an independent AI system or a system that includes AI functions, and the results of that analysis are provided to the main AI system.

[0062] In one embodiment of the present invention, the main AI system and method acquire molecular biological data, including proteomics and metabolomics of a patient, from another AI system or a system that includes AI functions.

[0063] At this time, data on the patient's medications, their effectiveness, side effects, and drug interactions are also provided to the main AI system via an independent AI system or a system including AI functions, using this method.

[0064] Furthermore, the system and method also provide other AI systems or AI functions that conduct medical interviews with patients by asking appropriate questions based on the patient's responses, thereby assisting physicians, eliminating human bias, and providing the results to the main AI system.

[0065] In particular, the present invention includes a system and method comprising multiple portals that connect various parties in a medical system (an AI system or a system including AI functions). These portals consist of the following: PatientConnect.ai: A system that enables patients to connect with healthcare professionals and access health information and resources. GenomicAnalysis.ai: A system that provides genomic analysis information to medical professionals. LabResults.ai: A system that provides laboratory analysis information to medical professionals. PatientRecords.ai: A system that enables healthcare professionals to access electronic health records and patient data. Diagnosticimaging.ai: A system that provides image analysis information to medical professionals. DiagnosticPathology.ai: A system that provides pathology analysis information to medical professionals. MolecularBiology.ai: A system that provides molecular biology analysis information to medical professionals. Pharmacotherapy.ai: A system where AI guides medical professionals and suggests appropriate drug therapies. Anamnesis.ai: An AI system or system including AI functions that conducts interviews with patients, asks appropriate questions based on the patient's responses, assists physicians, and eliminates human bias.

[0066] This system may store and analyze medical information on personal medical devices (including wearable devices) that patients can carry. Other data, such as the patient's electronic health records (including medical history, diagnoses, treatments, and medications), diagnostic image data such as X-rays, MRIs, and CT scans, the patient's molecular biology data (including proteomics and metabolomics), and medications taken, their effectiveness, side effects, and drug interactions, may also be provided to a major artificial intelligence (AI) system.

[0067] These data are collected from various sources (AI systems or systems including AI functions), such as PatientConnect.ai, which enables patients to connect with healthcare professionals and access health information and resources, and smartwear.ai, which provides real-time health tracking and analysis through wearable devices. GenomicAnalysis.ai provides genomic analysis information to healthcare professionals, LabResults.ai provides laboratory analysis information to healthcare professionals, PatientRecords.ai enables healthcare professionals to access electronic health records and patient data, Diagnosticimaging.ai provides image analysis information to healthcare professionals, DiagnosticPathology.ai provides pathology analysis information to healthcare professionals, MolecularBiology.ai provides molecular biology analysis information to healthcare professionals, and Pharmacotherapy.ai allows AI to guide healthcare professionals and suggest appropriate drug therapies. However, data may also be collected from other government agencies and non-governmental organizations to make diagnostic and treatment suggestions. The output is not limited to treatment; by analyzing all available data, it also makes other suggestions to help physicians diagnose diseases and determine treatments.

[0068] This system further includes an artificial intelligence (AI)-based patient diagnosis and treatment recommendation system and method combining cloud-based servers, edge computing devices, and a distributed data storage infrastructure. Cloud servers handle the majority of data processing and AI model training, while edge computing devices (e.g., smartphones, tablets, dedicated medical devices) enable real-time processing and analysis close to the data source. The distributed data storage infrastructure ensures secure and efficient access to medical data. The system utilizes both wired and wireless networks to facilitate communication between different components and users.

[0069] The main artificial intelligence system is called innovativetechnologies.ai. This is the primary AI engine that receives, processes, and analyzes data from the following portals. GenomicAnalysis.ai: A system that provides genomic analysis information to medical professionals. LabResults.ai: A system that provides laboratory analysis information to medical professionals. PatientRecords.ai: A system that enables healthcare professionals to access electronic health records and patient data. Diagnosticimaging.ai: A system that provides image analysis information to medical professionals. DiagnosticPathology.ai: A system that provides pathology analysis information to medical professionals. MolecularBiology.ai: A system that provides molecular biology analysis information to medical professionals. Pharmacotherapy.ai: AI guides healthcare professionals and suggests appropriate drug therapies. However, additional data may be collected from government and non-governmental organizations to provide diagnostic and treatment suggestions. Output is not limited to treatment. All available data will be analyzed to provide other suggestions to support physicians in disease diagnosis and treatment. The AI ​​component should not only identify issues requiring follow-up but also provide comprehensive treatment suggestions based on the evidence levels confirmed by TreatmentPlan.ai, GoldStandard.ai, and StateOfTheArt.ai.

[0070] Embodiments of the present invention enable the updating of patient medical records and provide clinical recommendations based on the updated patient medical information. Embodiments allow patients, hospitals, physicians, insurance providers, and related healthcare fields to access all relevant information related to patient care online.

[0071] Embodiments of the present invention enable patients to monitor their own medical reports. This allows patients to: • Patients can compare their care to recognized standard medical record guidelines. Patients can compare their medical condition to data, diagnostic and treatment protocols from similar disease courses, populations, or other medical situations based on exemplary systems. Patients can evaluate how well a particular doctor, hospital, or other relevant healthcare field provides care in accordance with standard care and recognized practices. Patients can interact with relevant medical fields and provide information about their medical condition through an exemplary system.

[0072] Embodiments of the present invention can warn patients, their physicians, and health surveillance agencies that monitor health-related demographics that a patient may not be taking the appropriate medication to treat their medical condition.

[0073] (Detailed explanation of the drawing) As shown in the block diagram (100) of Figure 1, the present invention may include a centralized component (hereinafter referred to as the Analysis Processing Center (102) or Main AI System). In this Analysis Processing Center, major AI processing is performed, and medical records, medical information, and patient data are scanned, analyzed, or stored. The Analysis Processing Center (102) or Main AI System can be centralized, distributed, or functionally centralized. The Analysis Processing Center (102) or Main AI System includes and operates on one or more server computers. The Analysis Processing Center (102) or Main AI System collects data from one or more databases or websites (AI systems or systems including AI functions) (e.g., 104, 105, 106, 107, 108, 109, 110, 111), and may also collect data from other data sources. Databases and websites may reside on the server, or they may exist separately from the server and be accessible from the server. The analysis processing center (102) or the main AI system may be equipped with various network communication ports (114) for communicating with external medical personnel (112) via a network or cloud (116).

[0074] The analysis processing center (102) or main AI system may include a processing unit (preprocessing) 130, which is software or hardware that organizes, maintains, edits, and processes patient data and medical information received from databases and websites (AI systems or systems including AI functions) (104, 105, 106, 107, 108, 109, 110, 111, etc.).

[0075] The analysis processing center (102) or main AI system may include various artificial intelligence components, such as an AI component consisting of a diagnostic protocol (126) and a treatment protocol (128), and an AI-derived component (124).

[0076] The analysis processing center (102) or the main AI system communicates with the patient's personal medical device (PMD) (134). This device has a patient medical information (PMI) database (132) that stores and stores the patient's medical records and patient information. If the patient possesses a PMD (134), the patient's medical data may be stored on the medical device or accessed from the device.

[0077] The computer system (200) may include one or more processors (203) connected to a communication bus, crossover bar, network, etc. (202). The computer system (200) may include a display interface (207) that can be transmitted to the communication bus, crossover bar, network, etc. (202).

[0078] The computer system (200) includes, but is not limited to, main memory (204), random access memory (RAM), and secondary memory. Secondary memory (201) includes, for example, a disk drive (210) or a removable drive (211). The computer (200) may include input devices such as a pointing device like a mouse or digitizer, a keyboard, and other devices.

[0079] The computer system (200) also includes output devices such as a display and a display interface.

[0080] Figure 3 is a flowchart illustrating how various types of users interact with the analysis processing center (102) or the main AI system. In step (301), the user attempts to establish a connection through a computer, mobile phone, laptop, tablet, or other device. Each user has a user ID, which they enter in step (302). If the user ID is not recognized, the system disconnects the connection or allows the user to try again (303).

[0081] If the user ID is recognized (302), the user may be prompted to authenticate to the system (304). This could be a password, biometric authentication, or other authentication procedure. If authentication fails, the system either disconnects the connection or allows the user to try again (305).

[0082] If authentication is successful, the user's permission level (306) determines which functions within the system they can access. Users identified as patients or physicians (307) can retrieve, update, analyze, and otherwise access all data and functions related to a specific patient. Administrators of analysis processing centers can access the center (102) or components of the main AI system (311). Other parties (312) may be able to view or retrieve requested information without altering the data (313).

[0083] The AI ​​component of this system is designed to leverage all accessible scientific data and embodies future platforms: TreatmentPlan.ai, GoldStandard.ai, and StateOfTheArt.ai. These platforms hold gold-standard, cutting-edge medical knowledge derived from vast amounts of scientific data. This cutting-edge information is summarized and made accessible through these portals. This summarized knowledge is then used as a benchmark to compare individual patient diagnoses and treatment plans, enabling the AI ​​to identify areas requiring further attention or adjustment.

[0084] The above description and illustrations should not be construed as encompassing the entire scope of the invention or limiting it to the specific forms disclosed herein. Those skilled in the art will understand that the invention can be implemented in other specific forms, adaptations, and modifications without departing from its essential features. The disclosed examples are illustrative and not restrictive, and the invention is not limited to the exact structure and operation described herein.

Claims

1. Using advanced AI algorithms, all available data is analyzed to diagnose diseases and suggest treatment options. AI systems, methods, and computer program products for patient diagnosis and treatment recommendations.

2. To enable patients to access or manage their own medical records, To analyze all available data, store, organize, and process medical information in order to diagnose diseases and suggest treatment methods. The AI ​​system, method, and computer program product according to claim 1.

3. By connecting multiple portals and data sources, AI is used to facilitate patient diagnosis and treatment recommendations. The AI ​​system and method according to claim 1 or 2.

4. A main AI system and at least one data source (an AI system or a system including AI functions) containing medical information, A data source that has personal medical data for at least one patient, It comprises one or more server devices, The server is capable of accessing the medical information and the personal medical data. The server includes an AI component that combines and analyzes the personal medical data and the medical information to identify issues that require further attention from the patient themselves or an authorized external entity. The main AI system has communication means that enable real-time mutual communication with the external entity, and the external entity can access the patient's personal medical data. The AI ​​system according to any one of claims 1 to 3,

5. The aforementioned main AI system collects patient medical history and other patient information in real time, including the patient's medications, their effectiveness, side effects, or drug interactions. The main AI system connects to other AI systems or systems including AI functions that provide comprehensive electronic health records, acquires diagnostic image data, and acquires molecular biological data. The AI ​​system according to any one of claims 1 to 4.

6. The aforementioned main AI system acquires various items related to the patient's medical history and other patient information in real time from other AI systems or systems that include AI functions. The AI ​​system according to any one of claims 1 to 5.

7. The main AI system is connected to a system that includes multiple AI systems or AI functions that provide comprehensive data of electronic health records, including the patient's medical history, diagnosis, treatment, medication effectiveness, side effects, and drug interactions. The AI ​​system according to any one of claims 1 to 6.

8. The main AI system is connected to multiple AI systems or systems including AI functions that provide comprehensive data of electronic health records, including the patient's medical history, diagnosis, treatment, and medication. The AI ​​system according to any one of claims 1 to 7.

9. Another AI system or a system including AI functions provides genome analysis information to the main AI system. The AI ​​system according to any one of claims 1 to 8.

10. The main AI system acquires laboratory analysis information from other AI systems or systems that include AI functions. The AI ​​system according to any one of claims 1 to 9.

11. The patient's electronic health records are reviewed and analyzed via another independent, dedicated AI system or a system including AI functions, and provided to the main AI system. The AI ​​system according to any one of claims 1 to 9.

12. Another AI system or a system including AI functions provides diagnostic image data, including X-ray, MRI, CT scan, and other radiographic images of a patient, from a data source to the main AI system. The AI ​​system according to any one of claims 1 to 11.

13. Pathology data is examined and analyzed by another independent AI system or a system including AI functions, and the analysis results are provided to the main AI system. The AI ​​system according to any one of claims 1 to 12.

14. The main AI system acquires molecular biological data, including proteomics and metabolomics, related to patients from other AI systems or systems that include AI functions. The AI ​​system according to any one of claims 1 to 13.

15. Data regarding the patient's medications, their effectiveness, side effects, and drug interactions are provided to the main AI system via an independent AI system or a system including AI functions. The AI ​​system according to any one of claims 1 to 14.

16. A system is provided that includes other AI systems or AI functions that conduct medical interviews with patients by asking appropriate questions based on the patient's responses, thereby assisting physicians, eliminating human bias, and providing the results to the main AI system. The AI ​​system according to any one of claims 1 to 15.

17. The aforementioned main AI system is one of the following AI systems or systems including AI functions that involve various stakeholders in the medical system: PatientConnect.ai (a system that enables patients to connect with healthcare professionals and access health information and resources) GenomicAnalysis.ai (a system that provides genome analysis information to medical professionals) LabResults.ai (a system that provides laboratory analysis information to medical professionals), PatientRecords.ai (a system that allows healthcare professionals to access electronic health records and patient data), DiagnosticImaging.ai (a system that provides image analysis information to medical professionals) DiagnosticPathology.ai (a system that provides pathology analysis information to medical professionals) MolecularBiology.ai (a system that provides molecular biology analysis information to medical professionals) Pharmacotherapy.ai (a system in which AI guides medical professionals and suggests appropriate drug therapies), and Anamnesis.ai (an AI-based system that conducts interviews with patients, asks appropriate questions based on the patient's responses, assists doctors, and eliminates human bias). Configured to connect to at least one selected from, The AI ​​system according to any one of claims 1 to 16.

18. The data collected from the aforementioned other AI systems or systems including AI functions is analyzed by the main AI system, and diagnostic information and treatment suggestions are provided to medical professionals and other users. The AI ​​system according to any one of claims 1 to 17.

19. The aforementioned main AI system collects patient medical history and other patient information in real time, including the patient's medications, their effectiveness, side effects, or drug interactions. The main AI system connects to other AI systems or systems including AI functions that provide comprehensive electronic health records, acquires diagnostic image data, and acquires molecular biological data. The method according to any one of claims 1 to 3.

20. The aforementioned main AI system acquires various items related to the patient's medical history and other patient information in real time from other AI systems or systems that include AI functions. The method according to claim 19.

21. A system is provided that collects patient information and their medical history, as well as acquires comprehensive electronic health records, diagnostic imaging data, and molecular biological data, including other AI systems or AI functions. This method also provides data on the patient's medications, their effectiveness, side effects, and drug interactions. These data are provided to the main AI system. The method according to claim 19 or 20.

22. The main AI system is connected to a system that includes multiple AI systems or AI functions that provide comprehensive data of electronic health records, including the patient's medical history, diagnosis, treatment, and medications taken. The method according to any one of claims 19 to 21.

23. Another AI system or a system including AI functions provides genome analysis information to the main AI system. The method according to any one of claims 19 to 22.

24. The main AI system acquires laboratory analysis information from other AI systems or systems that include AI functions, and also examines said laboratory analysis information. The method according to any one of claims 19 to 23.

25. The patient's electronic health records are reviewed and analyzed via another independent, dedicated AI system or a system including AI functions, and provided to the main AI system. The method according to any one of claims 19 to 24.

26. Another AI system or a system including AI functions provides diagnostic image data, including X-ray, MRI, CT scan, and other radiographic images of a patient, from a data source to the main AI system. The method according to any one of claims 19 to 25.

27. Pathology data is examined and analyzed by another independent AI system or a system including AI functions, and the analysis results are provided to the main AI system. The method according to any one of claims 19 to 26.

28. The main AI system acquires molecular biological data, including proteomics and metabolomics, related to patients from other AI systems or systems that include AI functions. The method according to any one of claims 19 to 27.

29. Data regarding the patient's medications, their effectiveness, side effects, and drug interactions are provided to the main AI system via an independent AI system or a system including AI functions. The method according to any one of claims 19 to 28.

30. A system is provided that includes other AI systems or AI functions that conduct medical interviews with patients by asking appropriate questions based on the patient's responses, thereby assisting physicians, eliminating human bias, and providing the results to the main AI system. The method according to any one of claims 19 to 29.

31. This method is executed using multiple portals. Each of the aforementioned portals is designed to connect the various stakeholders within the healthcare system. The aforementioned portal includes: PatientConnect.ai (a system that enables patients to connect with healthcare professionals and access health information and resources) GenomicAnalysis.ai (a system that provides genome analysis information to medical professionals) LabResults.ai (a system that provides laboratory analysis information to medical professionals), PatientRecords.ai (a system that allows healthcare professionals to access electronic health records and patient data), DiagnosticImaging.ai (a system that provides image analysis information to medical professionals) DiagnosticPathology.ai (a system that provides pathology analysis information to medical professionals) MolecularBiology.ai (a system that provides molecular biology analysis information to medical professionals) Pharmacotherapy.ai (a system in which AI guides medical professionals and suggests appropriate drug therapies), and Anamnesis.ai (an AI-based system that conducts interviews with patients, asks appropriate questions based on the patient's responses, assists doctors, and eliminates human bias). Includes, The method according to any one of claims 19 to 30.

32. The data collected from the aforementioned other AI systems or systems including AI functions is analyzed by the main AI system, and diagnostic information and treatment suggestions are provided to medical professionals and other users. The method according to any one of claims 19 to 31.

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