EVOLVING CONTEXTUAL CLINICAL DATA ENGINE FOR MEDICAL DATA PROCESSING

• US 20150331995A1
• Filed: 05/13/2015
• Published: 11/19/2015
• Est. Priority Date: 05/14/2014
• Status: Abandoned Application

• Current Assignee: TeraRecon Inc. (Fortive Corp.)
• Original Assignee: TeraRecon Inc. (Fortive Corp.)
• Inventors: Zhao, Tiecheng, Sorenson, Jeffrey, Iwase, Akio
• Application Number:
  US14/711,571
• Publication Number:
  US 20150331995A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 10/65 stored on portable record carriers, e.g. on smartcards, RFID tags or CD
• CPC Class Codes: G16H 30/20 for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A medical information server receives a signal from a client device representing a first user interaction with first medical data associated with a first medical condition of a patient received from a first medical data server. A data retrieval module accesses a second medical data server to retrieve second medical data of the patient that is related to the first medical data. A data analysis module automatically performs a first analysis on image data of the first medical data to generate image quantitative result and a second analysis on the image quantitative result in view of other medical data of the patient to determine a likelihood of a second medical condition of the patient based on the analysis. A data integrator integrates the second medical data with an analysis result of the analysis to generate and transmit a view of medical information to the client device to be displayed therein.

Claims

1. A computer-implemented method for processing medical data, the method comprising:

receiving, at a medical information server, a signal from a client device of a user over a network, the signal representing a first user interaction of the user with respect to first medical data displayed at the client device, the first medical data being associated with a first medical condition of a patient, the first medical data including image data of a medical image of the patient associated with the first medical condition, wherein the first medical data was received from a first medical data server over the network;

in response to the signal, accessing, by a data retrieval module executed by a processor, a second medical data server to retrieve second medical data of the patient that is related to the first medical data, the second medical data including at least one of medical lab data and a medical symptom of the patient associated with the first medical condition, wherein the first and second medical data servers are different servers;

automatically performing, by a data analysis module of an evolving contextual clinical data (ECCD) engine, including

performing a first analysis on the image data of the first medical data to generate image quantitative result, and

performing a second analysis on the image quantitative result in view of the at least one of medical lab data and a medical symptom of the patient;

determining, by the analysis module, a likelihood of an occurrence of a second medical condition of the patient based on the analysis;

integrating, by a data integrator, the second medical data with an analysis result of the analysis to generate one or more views of medical information, the one or more views of the medical information including information indicating the likelihood of the occurrence of the second medical condition of the patient; and

transmitting the one or more views of second medical information to the client device to be displayed on a display of the client device.

2. The method of claim 1, further comprising:

automatically determining a recommendation of a course of action to be taken based on the analysis result in view of a set of ECCD rules, wherein the ECCD rules specify a list of actions to be recommended based on specific medical data at certain ranges; and

transmitting the recommendation as part of the one or more views of medical information to the client device to be displayed therein.

3. The method of claim 1, further comprising:

retrieving third medical data of other patients associated with the first medical condition; and

determining the likelihood of the occurrence of the second medical condition based on the third medical data of other patients associated with the first medical condition.

4. The method of claim 3, further comprising:

generating a graphical representation based on the second medical data of the patient and the third medical data of other patients; and

transmitting the graphical representation to the client device to be displayed as part of the one or more views of medical information, wherein the graphical representation includes a first indicator representing the second medical data of the patient and a plurality of second indicators representing the third medical data of the other patients.

5. The method of claim 1, further comprising automatically performing a first action based on a set of ECCD rules in view of the analysis of the second medical data of the patient, wherein the one or more views of medical information further indicates that the first action has been performed.

6. The method of claim 5, wherein the first action comprises sending a message to the patient concerning the second medical data.

7. The method of claim 1, wherein the medical data servers comprise a picture archiving and information system (PACS), an electronic medical record (EMR) server, a laboratory information server, and a hospital information system.

8. A non-transitory machine-readable medium having instructions stored therein, which when executed by a processor, cause the processor to perform a method for processing medical information, the method comprising:

receiving, at a medical information server, a signal from a client device of a user over a network, the signal representing a first user interaction of the user with respect to first medical data displayed at the client device, the first medical data being associated with a first medical condition of a patient, the first medical data including image data of a medical image of the patient associated with the first medical condition, wherein the first medical data was received from a first medical data server over the network;

in response to the signal, accessing, by a data retrieval module executed by a processor, a second medical data server to retrieve second medical data of the patient that is related to the first medical data, the second medical data including at least one of medical lab data and a medical symptom of the patient associated with the first medical condition, wherein the first and second medical data servers are different servers;

automatically performing, by a data analysis module of an evolving contextual clinical data (ECCD) engine, including

performing a first analysis on the image data of the first medical data to generate image quantitative result, and

performing a second analysis on the image quantitative result in view of the at least one of medical lab data and a medical symptom of the patient;

determining, by the analysis module, a likelihood of an occurrence of a second medical condition of the patient based on the analysis;

integrating, by a data integrator, the second medical data with an analysis result of the analysis to generate one or more views of medical information, the one or more views of the medical information including information indicating the likelihood of the occurrence of the second medical condition of the patient; and

transmitting the one or more views of second medical information to the client device to be displayed on a display of the client device.

9. The non-transitory machine-readable medium of claim 8, wherein the method further comprises:

automatically determining a recommendation of a course of action to be taken based on the analysis result in view of a set of ECCD rules, wherein the ECCD rules specify a list of actions to be recommended based on specific medical data at certain ranges; and

transmitting the recommendation as part of the one or more views of medical information to the client device to be displayed therein.

10. The non-transitory machine-readable medium of claim 8, wherein the method further comprises:

retrieving third medical data of other patients associated with the first medical condition; and

determining the likelihood of the occurrence of the second medical condition based on the third medical data of other patients associated with the first medical condition.

11. The non-transitory machine-readable medium of claim 10, wherein the method further comprises:

generating a graphical representation based on the second medical data of the patient and the third medical data of other patients; and

transmitting the graphical representation to the client device to be displayed as part of the one or more views of medical information, wherein the graphical representation includes a first indicator representing the second medical data of the patient and a plurality of second indicators representing the third medical data of the other patients.

12. The non-transitory machine-readable medium of claim 8, wherein the method further comprises automatically performing a first action based on a set of ECCD rules in view of the analysis of the second medical data of the patient, wherein the one or more views of medical information further indicates that the first action has been performed.

13. The non-transitory machine-readable medium of claim 12, wherein the first action comprises sending a message to the patient concerning the second medical data.

14. The non-transitory machine-readable medium of claim 8, wherein the medical data servers comprise a picture archiving and information system (PACS), an electronic medical record (EMR) server, a laboratory information server, and a hospital information system.

15. A data processing system operating as a medical information server, comprising:

a processor;

a memory coupled to the processor storing instructions, which when executed by the processor, cause the processor to perform a method, the method including

receiving a signal from a client device of a user over a network, the signal representing a first user interaction of the user with respect to first medical data displayed at the client device, the first medical data being associated with a first medical condition of a patient, the first medical data including image data of a medical image of the patient associated with the first medical condition, wherein the first medical data was received from a first medical data server over the network,

in response to the signal, accessing, by a data retrieval module executed by the processor, a second medical data server to retrieve second medical data of the patient that is related to the first medical data, the second medical data including at least one of medical lab data and a medical symptom of the patient associated with the first medical condition, wherein the first and second medical data servers are different servers,

automatically performing, by a data analysis module of an evolving contextual clinical data (ECCD) engine, including

performing a first analysis on the image data of the first medical data to generate image quantitative result, and

performing a second analysis on the image quantitative result in view of the at least one of medical lab data and a medical symptom of the patient;

determining, by the analysis module, a likelihood of an occurrence of a second medical condition of the patient based on the analysis,

integrating, by a data integrator, the second medical data with an analysis result of the analysis to generate one or more views of medical information, the one or more views of the medical information including information indicating the likelihood of the occurrence of the second medical condition of the patient, and

transmitting the one or more views of second medical information to the client device to be displayed on a display of the client device.

16. The system of claim 15, wherein the method further comprises:

automatically determining a recommendation of a course of action to be taken based on the analysis result in view of a set of ECCD rules, wherein the ECCD rules specify a list of actions to be recommended based on specific medical data at certain ranges; and

transmitting the recommendation as part of the one or more views of medical information to the client device to be displayed therein.

17. The system of claim 15, wherein the method further comprises:

retrieving third medical data of other patients associated with the first medical condition; and

determining the likelihood of the occurrence of the second medical condition based on the third medical data of other patients associated with the first medical condition.

18. The system of claim 17, wherein the method further comprises:

generating a graphical representation based on the second medical data of the patient and the third medical data of other patients; and

transmitting the graphical representation to the client device to be displayed as part of the one or more views of medical information, wherein the graphical representation includes a first indicator representing the second medical data of the patient and a plurality of second indicators representing the third medical data of the other patients.

19. The system of claim 15, wherein the method further comprises automatically performing a first action based on a set of ECCD rules in view of the analysis of the second medical data of the patient, wherein the one or more views of medical information further indicates that the first action has been performed.

20. The system of claim 19, wherein the first action comprises sending a message to the patient concerning the second medical data.

21. The system of claim 15, wherein the medical data servers comprise a picture archiving and information system (PACS), an electronic medical record (EMR) server, a laboratory information server, and a hospital information system.

22. A computer-implemented method for processing medical information, the method comprising:

receiving, at a medical information server, a signal from a client device of a user over a network, the signal representing a first user interaction of the user with respect to first medical data displayed at the client device, the first medical data being associated with a body part of a patient, the first medical data including image data of a medical image of the patient associated with the body part, wherein the first medical data was received from a first medical data server over the network;

in response to the signal, accessing, by a data retrieval module executed by a processor, a second medical data server to retrieve second medical data of the patient that is related to the first medical data, the second medical data including a medical history of the patient associated with the body part of the patient, wherein the first and second medical data servers are different servers;

automatically performing, by a data analysis module of an evolving contextual clinical data (ECCD) engine, including

performing a first analysis on the image data of the first medical data to generate image quantitative result, and

performing a second analysis on the image quantitative result in view of the medical history of the patient;

determining, by the analysis module, a likelihood of an occurrence of a medical condition of the patient based on the analysis;

integrating, by a data integrator, the second medical data with an analysis result of the analysis to generate one or more views of medical information, the one or more views of the medical information including information indicating the likelihood of the occurrence of the medical condition of the patient; and

transmitting the one or more views of second medical information to the client device to be displayed on a display of the client device.