CN-122029610-A - Systems, methods, and computer program products providing machine learning based healthcare information analysis

Abstract

The system for providing machine learning analysis of healthcare information may include at least one processor to receive healthcare data related to a patient from a plurality of data sources including at least one of an electronic medical record system, a patient program tracking system, a hospital information system, a radiological analysis system, a laboratory information system, a digital pathology system, a picture archiving and communication system, or any combination thereof, determine a medical finding of the patient using a machine learning model based on the healthcare data related to the patient, wherein the medical finding includes at least one of a proposed diagnosis for the patient or a recommendation to perform one or more tests on the patient, and provide the data related to the medical finding of the patient to a device related to the patient for display. Methods and computer program products are also disclosed.

Inventors

• A-A. Sharma

Assignees

• 拜耳医药保健有限责任公司

Dates

Publication Date

20260512

Application Date

20231011

Claims (20)

1. 1. A system for providing machine learning analysis of healthcare information, comprising: at least one processor programmed or configured to: receiving healthcare data associated with a patient from a plurality of data sources, wherein the plurality of data sources includes at least one of: an Electronic Medical Record (EMR) system, An Electronic Health Record (EHR) system, A patient procedure tracking system is provided which, A Hospital Information System (HIS), A Radiology Information System (RIS), A Radiation Analysis System (RAS), Laboratory Information System (LIS), Digital Pathology System (DPS), Picture Archiving and Communication Systems (PACS), Or any combination thereof; Generating a patient health history file based on healthcare data associated with the patient; determining a medical finding of the patient based on the patient health history profile using a machine learning model, wherein the medical finding includes at least one of a proposed diagnosis for the patient or a recommendation to perform one or more tests on the patient; data relating to the medical findings of the patient is provided to a device relating to the patient for display.
2. 2. The system of claim 1, wherein, in generating the patient health history file based on healthcare data related to the patient, the at least one processor is programmed or configured to: Receiving healthcare data associated with the patient; determining a longitudinal healthcare data set of the patient; The patient health history file is generated based on the longitudinal healthcare data set.
3. 3. The system of claim 2, wherein the at least one processor is further programmed or configured to: A web page accessible link is provided to the patient health history file to allow patient information to be displayed on the device and to allow the patient information to be received from the device via the web page accessible link.
4. 4. The system of claims 1-3, wherein, in generating the patient health history file, the at least one processor is programmed or configured to: Receiving demographic information related to the patient, and The patient health history file is generated based on the demographic information related to the patient.
5. 5. The system of any of claims 1-4, wherein, in generating the patient health history file, the at least one processor is programmed or configured to: receiving protected health information associated with the patient, and The patient health history file is generated based on the protected health information associated with the patient.
6. 6. The system of any of claims 1-5, wherein, when receiving the healthcare data related to the patient, the at least one processor is programmed or configured to: The healthcare data related to the patient is retrieved from at least one of the plurality of data sources based on a unique patient identifier associated with the patient.
7. 7. The system of any of claims 1-6, wherein, in providing data related to medical findings of the patient, the at least one processor is programmed or configured to: The data associated with the medical findings of the patient is provided to the device associated with the patient based on receiving a request for the medical findings including a unique patient identifier associated with the patient.
8. 8. The system of any of claims 1-7, wherein the proposed diagnosis includes one of a proposed differential diagnosis and a proposed final diagnosis.
9. 9. A method of providing machine learning analysis of healthcare information, comprising: receiving healthcare data associated with a patient from a plurality of data sources, wherein the plurality of data sources includes at least one of: an Electronic Medical Record (EMR) system, An Electronic Health Record (EHR) system, A patient procedure tracking system is provided which, A Hospital Information System (HIS), A Radiology Information System (RIS), A Radiation Analysis System (RAS), Laboratory Information System (LIS), Digital Pathology System (DPS), Picture Archiving and Communication Systems (PACS), Or any combination thereof; Generating a patient health history file based on healthcare data associated with the patient; determining a medical finding of the patient based on the patient health history profile using a machine learning model, wherein the medical finding includes at least one of a proposed diagnosis for the patient or a recommendation to perform one or more tests on the patient; data relating to the medical findings of the patient is provided to a device relating to the patient for display.
10. 10. The method of claim 9, wherein generating a patient health history profile based on healthcare data associated with the patient comprises: Receiving healthcare data associated with the patient; determining a longitudinal healthcare data set of the patient; The patient health history file is generated based on the longitudinal healthcare data set.
11. 11. The method of claim 10, further comprising: A web page accessible link is provided to the patient health history file to allow patient information to be displayed on the device and to allow the patient information to be received from the device via the web page accessible link.
12. 12. The method of claim 10 or 11, wherein generating the patient health history file comprises: Receiving demographic information related to the patient, and The patient health history file is generated based on the demographic information related to the patient.
13. 13. The method of any of claims 10-12, wherein generating the patient health history file comprises: receiving protected health information associated with the patient, and The patient health history file is generated based on the protected health information associated with the patient.
14. 14. The method of any of claims 9 to 13, wherein receiving the healthcare data related to the patient comprises: The healthcare data related to the patient is retrieved from at least one of the plurality of data sources based on a unique patient identifier associated with the patient.
15. 15. The method of any of claims 9 to 14, wherein providing data related to medical findings of the patient comprises: The data associated with the medical findings of the patient is provided to the device associated with the patient based on receiving a request for the medical findings including a unique patient identifier associated with the patient.
16. 16. The method of any one of claims 9 to 15, wherein the formulating a diagnosis comprises one of formulating a differential diagnosis and formulating a final diagnosis.
17. 17. A computer program product for providing machine learning analysis of healthcare information, the computer program product comprising at least one non-transitory computer-readable medium containing one or more instructions that, when executed by at least one processor, cause the at least one processor to: receiving healthcare data associated with a patient from a plurality of data sources, wherein the plurality of data sources includes at least one of: an Electronic Medical Record (EMR) system, An Electronic Health Record (EHR) system, A patient procedure tracking system is provided which, A Hospital Information System (HIS), A Radiology Information System (RIS), A Radiation Analysis System (RAS), Laboratory Information System (LIS), Digital Pathology System (DPS), Picture Archiving and Communication Systems (PACS), Or any combination thereof; Generating a patient health history file based on healthcare data associated with the patient; determining a medical finding of the patient based on the patient health history profile using a machine learning model, wherein the medical finding includes at least one of a proposed diagnosis for the patient or a recommendation to perform one or more tests on the patient; data relating to the medical findings of the patient is provided to a device relating to the patient for display.
18. 18. The computer program product of claim 17, wherein the one or more instructions that cause the at least one processor to generate a patient health history file based on the healthcare data related to the patient cause the at least one processor to: Receiving healthcare data associated with the patient; determining a longitudinal healthcare data set of the patient; The patient health history file is generated based on the longitudinal healthcare data set.
19. 19. The computer program product of claim 18, wherein the one or more instructions further cause the at least one processor to: A web page accessible link is provided to the patient health history file to allow patient information to be displayed on the device and to allow the patient information to be received from the device via the web page accessible link.
20. 20. The computer program product of claim 18 or 19, wherein the one or more instructions that cause the at least one processor to generate the patient health history file cause the at least one processor to: Receiving demographic information related to the patient, and The patient health history file is generated based on the demographic information related to the patient.

Description

Systems, methods, and computer program products providing machine learning based healthcare information analysis Technical Field The present disclosure relates generally to systems and/or devices for providing healthcare information, and in certain non-limiting embodiments, to systems, methods, and computer program products for providing machine learning based healthcare information analysis. Background Health informatics may refer to a scientific and engineering field that develops methods and techniques for acquiring, processing, and/or studying healthcare information (e.g., medical data, patient data, etc.) associated with a patient. In some cases, the healthcare data may come from different sources and/or modalities, such as electronic medical records (e.g., electronic health records), diagnostic test results, and/or medical scans. Health informatics applications may include solutions to problems encountered with medical data, as well as analysis of such medical data using computational techniques. Artificial Intelligence (AI) can be used for healthcare as a way to mimic human cognition in the analysis, presentation and/or understanding of healthcare data. AI may describe the ability of a computer program (e.g., a computer algorithm) to approximate conclusions from input data, which may be healthcare data. In some cases, computer algorithms may be used to identify patterns in the data and create logic that identifies those patterns. Such computer algorithms may include machine learning models that are trained to perform certain tasks using a large amount of input data. However, the health informatics application may be implemented in an environment requiring complex programming and processing resources to receive input data in the form of healthcare information related to a patient to the health informatics application for data analysis tasks. Thus, the manually programmed process developed to provide input data to the health informatics application may require a significant amount of network resources, may require manual updates, and may be inaccurate. Furthermore, devices running health informatics applications may require specially configured network devices and/or reprogramming to communicate with various medical devices and information systems based on network communication configurations. Disclosure of Invention Accordingly, systems, methods, and computer program products are provided for providing machine learning based healthcare information analysis. Further non-limiting embodiments or aspects are set forth in the following numbered clauses: Clause 1 is a system for providing machine learning analysis of healthcare information, comprising at least one processor programmed or configured to receive healthcare data related to a patient from a plurality of data sources, wherein the plurality of data sources includes at least one of an Electronic Medical Record (EMR) system, an Electronic Health Record (EHR) system, a patient program tracking system, a Hospital Information System (HIS), a Radiology Information System (RIS), a Radiology Analysis System (RAS), a Laboratory Information System (LIS), a Digital Pathology System (DPS), a Picture Archiving and Communication System (PACS), or any combination thereof, generate a patient health history profile based on the healthcare data related to the patient, determine a medical finding of the patient based on the patient health history profile using a machine learning model, wherein the medical finding includes at least one of a proposed diagnosis for the patient or a recommendation to perform one or more tests on the patient, and provide the data related to the medical finding of the patient to a device related to the patient for display. Clause 2 the system of clause 1, wherein, in generating the patient health history file based on the healthcare data related to the patient, the at least one processor is programmed or configured to receive the healthcare data related to the patient, determine a longitudinal healthcare data set for the patient, and generate the patient health history file based on the longitudinal healthcare data set. Clause 3 the system of clause 2, wherein the at least one processor is further programmed or configured to provide a web page accessible (web-accessible) link to the patient health history file to allow patient information to be displayed on the device and to allow the patient information to be received from the device via the web page accessible link. Clause 4 the system of clauses 1-3, wherein, in generating the patient health history file, the at least one processor is programmed or configured to receive demographic information related to the patient and to generate the patient health history file based on the demographic information related to the patient. Clause 5 the system of any of clauses 1-4, wherein, in generating the patient health history file, the at least one processor is programmed or configured to receive