Real time medical data analysis system

• US 9,095,274 B2
• Filed: 08/31/2008
• Issued: 08/04/2015
• Est. Priority Date: 08/31/2008
• Status: Active Grant

• Current Assignee: Empire Technology Development LLC (Allied Inventors Management, LLC), Tombolo Technologies, LLC
• Original Assignee: Empire Technology Development LLC (Allied Inventors Management, LLC)
• Inventors: Fein, Gene, Merritt, Edward
• Primary Examiner(s): Jackson, Gary
• Assistant Examiner(s): JIAN, SHIRLEY XUEYING
• Application Number:
  US12/202,282
• Publication Number:
  US 20100056877A1
• Time in Patent Office: 2,529 Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 8/06 Measuring blood flow measuring volume flow in general G01F, e.g. G01F1/66, G01F1/72; measuring speed of fluids in general G01P5/00
• CPC Class Codes: A61B 8/0858 involving measuring tissue layers, e.g. skin, interfaces
• CPC Class Codes: A61B 8/565 involving data transmission via a network
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 70/60 relating to pathologies

Abstract

A medical data analysis system utilizing a cloud computing resource. Exemplary embodiments provide real time medical testing data to a cloud computing resource via middleware. Exemplary middleware may condition the data for use by the cloud computing resource and the middleware may appropriately format the results of the analysis provided by the cloud for display on a user interface device.

Claims

1. A method of analyzing medical data, comprising:

sensing at least one medical parameter of a patient to provide sensed medical data;

transmitting the sensed medical data to a cloud computing resource via a middleware for processing in at least near real time, the middleware including an application engine, a user interface application linked to the application engine by a user programming interface, a business component operatively connected to the application engine, and a hardware abstraction layer linked to the business component by a system application programming interface, the hardware abstraction layer being situated between the application engine and the business component and a middleware hardware;

receiving analysis results from the cloud computing resource; and

transmitting the analysis results to a user interface device.

2. The method of claim 1, wherein sensing at least one medical parameter of a patient includes sensing a plurality of medical parameters.

3. The method of claim 2, wherein the plurality of medical parameters includes a plurality of vascular flow readings.

4. The method of claim 1, wherein sensing at least one medical parameter of a patient utilizes one or more topical sensors.

5. The method of claim 1, wherein sensing at least one medical parameter of a patient includes sensing electrocardiogram information.

6. The method of claim 1, wherein sensing at least one medical parameter of a patient includes sensing magnetic resonance information.

7. The method of claim 1, further comprising processing the sensed medical data with respect to at least one of demographic data, baseline medical data, prior medical data, and comparison medical data.

8. The method of claim 1, wherein the sensing at least one medical parameter of a patient, transmitting the sensed medical data to a cloud computing resource, receiving analysis results from the cloud computing resource, and transmitting the analysis results to a user interface device occur during a surgical procedure.

9. The method of claim 8, wherein the analysis results transmitted to the user interface device include a predictive warning.

10. The method of claim 8, wherein the surgical procedure is modified based upon the analysis results displayed by the user interface.

11. The method of claim 1, wherein the sensing at least one medical parameter of a patient, transmitting the sensed medical data to a cloud computing resource, receiving analysis results from the cloud computing resource, and transmitting the analysis results to a user interface device occur in real time.

12. The method of claim 1, wherein transmitting the sensed medical data to a cloud computing resource, receiving the analysis results from the cloud computing resource, and transmitting the analysis results to the user interface device are performed by the middleware.

13. The method of claim 1, wherein sensing at least one medical parameter of a patient includes sensing a plurality of medical parameters of the patient utilizing directional microphones.

14. The method of claim 1, wherein sensing at least one medical parameter of a patient includes sensing a plurality of medical parameters of the patient utilizing arterial wall sensors.

15. The method of claim 14, wherein sensing at least one medical parameter of a patient includes sensing a plurality of medical parameters of the patient utilizing arterial wall sensors in tandem with blood volumetric flow rate sensors.

16. The method of claim 1, wherein sensing at least one medical parameter of a patient includes sensing a plurality of medical parameters, including blood flow and arterial wall thickness parameters.

17. The method of claim 16, further comprising processing the sensed medical data with respect to at least one of demographic data, baseline medical data, prior medical data, and medical data.

18. A method of analyzing medical data, comprising:

providing a middleware computing device including middleware, the middleware computing device being operatively coupled to at least one medical gathering device configured to gather medical data about a patient, and operatively coupled to a cloud computing resource including an application adapted to analyze medical data and generate an analysis result, the middleware computing device providing an application engine, a user interface application linked to the application engine by a user programming interface, a business component operatively connected to the application engine, and a hardware abstraction layer linked to the business component by a system application programming interface, the hardware abstraction layer being situated between the application engine and the business component and a middleware hardware;

receiving, by the middleware computing device, the medical data about a patient from the medical data gathering device;

transferring the medical data from the middleware computing device to the cloud computing resource;

receiving an analysis result from the cloud computing resource by the middleware computing device; and

transferring the analysis result to a user interface device.

19. The method of claim 18, wherein receiving, by the middleware computing device, the medical data from the medical data gathering device is performed substantially as the medical data is being gathered.

20. The method of claim 18, wherein transferring the analysis result to a user interface device is performed substantially as the medical data is being gathered.

21. The method of claim 18, wherein the user interface device is located proximate the medical data gathering device.

22. The method of claim 18, further comprising, before transferring the analysis result to the user interface device, formatting the analysis result, by the middleware, for display on the display device.

23. The method of claim 18, wherein the medical data includes vascular system data.

24. The method of claim 18, wherein the medical data includes electrocardiogram data.

25. The method of claim 18, wherein the medical data includes blood flow data.

26. The method of claim 18, wherein the medical data includes imaging data.

27. The method of claim 26, wherein the imaging data includes magnetic resonance imaging data.

28. The method of claim 18, further comprising comparing the medical data with baseline medical data.

29. The method of claim 28, wherein comparing the medical data includes comparing the medical data with previously obtained medical data from the same patient.

30. The method of claim 28, wherein comparing the medical data includes comparing the medical data with previously obtained medical data from at least one other patient.

31. The method of claim 18, wherein the medical data includes demographic data about the patient;

and the method further comprising considering the patient'"'"'s demographic data.

32. The method of claim 18, wherein transferring the analysis result to a user interface device is performed during a testing procedure and the method further includes adjusting the testing procedure based upon the analysis result.

33. The method of claim 18, wherein transferring the analysis result to a user interface device is performed during a surgical procedure and the method further includes adjusting the surgical procedure based upon the analysis result.

34. The method of claim 18, further comprising, before transferring the analysis result to the user interface device, querying a user for a password.

35. A medical data processing system comprising:

a middleware computing device including middleware, the middleware computing device adapted to receive sensed medical data from a medical data sensing device, and the middleware computing device being operatively coupled to a cloud computing resource having at least one application for processing the sensed medial data and being operatively coupled to a user interface device, the middleware computing device including an application engine, a user interface application linked to the application engine by a user programming interface, a business component operatively connected to the application engine, and a hardware abstraction layer linked to the business component by a system application programming interface, the hardware abstraction layer being situated between the application engine and the business component and a middleware hardware.

36. The medical data processing system of claim 35, further comprising the medical data sensing device and the user interface device, wherein the medical data sensing device and the user interface device are collocated proximate a patient.

37. The medical data processing system of claim 35, further comprising the medical data sensing device and the user interface device, wherein the medical data sensing device and the user interface device are portable and are operatively connectable to the middleware computing device from a plurality of locations.

38. The medical data processing system of claim 35, further comprising the medical data sensing device, wherein the medical data sensing device includes at least one sensor adapted to sense at least one parameter relating to a patient'"'"'s body.

39. The medical data processing system of claim 38, wherein the medical data sensor device includes at least one of the following:

at least one sensor for performing vascular testing;

an electrocardiogram electrode;

a topical sensor;

at least one blood flow sensor; and

a magnetic resonance data receptor.

40. The medical data processing system of claim 38, wherein:

the medical data sensing device includes a plurality of sensor inputs and is configured to communicate the sensed medical data from the plurality of sensor inputs in at least near real time to the middleware computing device;

the middleware computing device is configured to route the sensed medical data to the cloud computing resource in at least near real time; and

the cloud computing resource is configured to process the sensed medical data in at least near real time.

41. The medical data processing system of claim 39, wherein the middleware computing device is further configured to condition a data result received from the cloud computing resource for viewing on the user interface device.

42. The medical data processing system of claim 40, wherein:

the cloud computing resource has access to at least one of demographic data, baseline medical data, prior medical data, and comparison medical data; and

the cloud computing resource is configured to process the sensed medical data with respect to the at least one of demographic data, baseline medical data, prior medical data, and comparison medical data.

43. The medical data processing system of claim 40, wherein the middleware computing device is configured to condition the sensed medical data that is routed to the cloud computing resource.

44. The medical data processing system of claim 35, wherein the cloud computing resource includes one or more servers.

45. The medical data processing system of claim 44, wherein the one or more servers includes at least one virtual server.

46. The medical data processing system of claim 35, further comprising the medical data sensing device and the user interface device, wherein the medical data sensing device includes a plurality of medical data sensing devices and the user interface device includes a plurality of user interface devices, and wherein each of the medical data sensing devices and each of the user interface devices is operatively connected to the middleware computing device.