Automated medical safety monitoring systems and methods

• US 20070226175A1
• Filed: 03/08/2007
• Published: 09/27/2007
• Est. Priority Date: 03/08/2006
• Status: Abandoned Application

• Current Assignee: Brigham and Women's Hospital Incorporated, Coping Systems Incorporated
• Original Assignee: Brigham and Women's Hospital Incorporated, Coping Systems Incorporated
• Inventors: Resnic, Frederic, Matheny, Michael, Coflan, Barry, Cope, Richard
• Application Number:
  US11/715,609
• Publication Number:
  US 20070226175A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/24568 Data stream processing; Continuous queries
• CPC Class Codes: G06F 16/283 Multi-dimensional databases or data warehouses, e.g. MOLAP or ROLAP
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

In one aspect, a medical surveillance system for monitoring the safety of at least one medical entity is provided. The medical surveillance system comprises at least one database to store information related to the at least one medical entity, the at least one database being periodically updated with current information about the at least one medical entity, and at least one controller coupled to the database, the at least one controller configured to perform at least one statistical operation on at least a portion of the information stored in the at least one database, the at least one statistical operation being performed periodically so as to generate at least one continuous outcome, the controller configured to trigger an alert when the at least one continuous outcome indicates the occurrence of at least one adverse event associated with the at least one medical entity.

Claims

1. A medical surveillance system for monitoring the safety of at least one medical entity, the medical surveillance system comprising:

at least one database to store information related to the at least one medical entity, the at least one database being periodically updated with current information about the at least one medical entity; and

at least one controller coupled to the database, the at least one controller configured to perform at least one statistical operation on at least a portion of the information stored in the at least one database, the at least one statistical operation being performed periodically so as to generate at least one continuous outcome, the controller configured to trigger an alert when the at least one continuous outcome indicates the occurrence of at least one adverse event associated with the at least one medical entity.

2. The medical surveillance system of claim 1, wherein the at least one statistical operation is performed each time the controller determines that the at least one database has been updated with current information.

3. The medical surveillance system of claim 1, wherein the medical entity includes a medical device.

4. The medical surveillance system of claim 3, wherein the at least one continuous outcome is indicative of a failure rate of the medical device, and wherein the controller triggers an alert when the at least one continuous outcome indicates that the failure rate has exceeded a first threshold.

5. The medical surveillance system of claim 1, wherein the at least one statistical operation includes using Bayesian updated statistical (BUS) analysis to generate a first continuous outcome.

6. The medical surveillance system of claim 5, wherein the at least one statistical operation includes using statistical process control (SPC) to generate a second continuous outcome and linear regression (LR) model to generate a third continuous outcome.

7. The medical surveillance system of claim 6, wherein the controller is configured to trigger the alert if any of the first continuous outcome, the second continuous outcome and the third continuous outcome indicate the occurrence of the at least one adverse event.

8. The medical surveillance system of claim 6, wherein the controller is configured to trigger the alert based on a weighted average of the first continuous outcome, the second continuous outcome and the third continuous outcome.

9. The medical surveillance system of claim 3, wherein the at least one database includes a database storing federally mandated post-market medical device safety information.

10. The medical surveillance system of claim 1, wherein the medical entity includes at least one medical procedure.

11. The medical surveillance system of claim 1, wherein the medical entity includes at least one drug.

12. The medical surveillance system of claim 1, wherein the at least one statistical operation includes a plurality of statistical operations generating a respective plurality of continuous outcomes, and wherein the alert includes a meta-alert indicating an occurrence of at least one adverse event, the meta-alert being triggered based on an analysis of the plurality of continuous outcomes.

13. The medical surveillance system of claim 12, wherein each of the plurality of statistical operations generates an alert when the respective continuous outcome is outside a predetermined threshold, and wherein the meta-alert is triggered if a respective predetermined number of the alerts are generated over an observation interval.

14. The medical surveillance system of claim 13, wherein the plurality of statistical operations include using at least two of a Bayesian updated statistical (BUS) model, statistical process control (SPC), and linear regression (LR).

15. The medical surveillance system of claim 1, wherein the information related to the at least one medical entity includes information about results of the at least one medical entity being applied to respective subjects, the subjects being categorized by a risk stratification comprised of a plurality of risk strata associated with characteristics of the subjects, and wherein the at least one statistical operation generates at least one continuous outcome for each of the plurality of risk strata.

16. The medical surveillance system of claim 15, wherein each of the plurality of risk strata is defined by at least one category.

17. The medical surveillance system of claim 16, wherein the at least one category includes an age category.

18. A method of monitoring the safety of at least one medical entity, the method comprising acts of:

obtaining periodically updated information relating to the safety of the at least one medical entity;

periodically performing at least one statistical operation on at least a portion of the information to generate at least one continuous outcome; and

generating an alert when the at least one continuous outcome indicates the occurrence of at least one adverse event associated with the at least one medical entity.

19. The method of claim 18, wherein periodically performing the at least one statistical operation includes performing at least one statistical operation each time updated information is obtained.

20. The method of claim 19, wherein the medical entity includes a medical device.

21. The method of claim 20, wherein the at least one continuous outcome is indicative of a failure rate of the medical device, and wherein the act of generating the alert includes an act of generating an alert when the at least one continuous outcome indicates that the failure rate has exceeded a first threshold.

22. The method of claim 18, wherein the act of performing the at least one statistical operation includes an act of performing a Bayesian updated statistical (BUS) analysis to generate a first continuous outcome.

23. The method of claim 22, wherein the act of performing at least one statistical operation includes an act of performing statistical process control (SPC) to generate a second continuous outcome and performing linear regression (LR) to generate a third continuous outcome.

24. The method of claim 23, wherein the act of generating the alert includes an act of generating an alert if any of the first continuous outcome, the second continuous outcome and the third continuous outcome indicate the occurrence of the at least one adverse event.

25. The method of claim 23, wherein the act of generating the alert includes an act of generating an alert based on a weighted average of the first continuous outcome, the second continuous outcome and the third continuous outcome.

26. The method of claim 20, wherein the information includes federally mandated post-market medical device safety information.

27. The method of claim 18, wherein the medical entity includes at least one medical procedure.

28. The method of claim 18, wherein the medical entity includes at least one drug.

29. The method of claim 18, wherein the at least one statistical operation includes a plurality of statistical operations generating a respective plurality of continuous outcomes, and wherein the alert includes a meta-alert indicating an occurrence of at least one adverse event, the meta-alert being triggered based on an analysis of the plurality of continuous outcomes.

30. The method of claim 29, wherein each of the plurality of statistical operations generates an alert when the respective continuous outcome is outside a predetermined threshold, and wherein the meta-alert is triggered if a respective predetermined number of the alerts are generated over an observation interval.

31. The method of claim 30, wherein the plurality of statistical operations include using at least two of a Bayesian updated statistical (BUS) analysis, statistical process control (SPC), and linear regression (LR).

32. The method of claim 18, wherein the information related to the at least one medical entity includes information about results of the at least one medical entity being applied to respective subjects, the subjects being categorized by a risk stratification comprised of a plurality of risk strata associated with characteristics of the subjects, and wherein the at least one statistical operation generates at least one continuous outcome for each of the plurality of risk strata.

33. The method of claim 32, wherein each of the plurality of risk strata is defined by at least one category.

34. The method of claim 33, wherein the at least one category includes an age category.

35. A computer readable medium encoded with a program for execution on at least one processor, the program, when executed on the at least one processor, performing a method of monitoring the safety of at least one medical entity, the method comprising acts of:

obtaining periodically updated information relating to the safety of the at least one medical entity;

periodically performing at least one statistical operation on at least a portion of the information to generate at least one continuous outcome; and

generating an alert when the at least one continuous outcome indicates the occurrence of at least one adverse event associated with the at least one medical entity.

36. The computer readable medium of claim 35, wherein periodically performing the at least one statistical operation includes performing at least one statistical operation each time updated information is obtained.

37. The computer readable medium of claim 36, wherein the medical entity includes a medical device.

38. The computer readable medium of claim 37, wherein the at least one continuous outcome is indicative of a failure rate of the medical device, and wherein the act of generating the alert includes an act of generating an alert when the at least one continuous outcome indicates that the failure rate has exceeded a first threshold.

39. The computer readable medium of claim 35, wherein the act of performing the at least one statistical operation includes an act of performing a Bayesian updated statistical (BUS) analysis to generate a first continuous outcome.

40. The computer readable medium of claim 39, wherein the act of performing at least one statistical operation includes an act of performing statistical process control (SPC) analysis to generate a second continuous outcome and linear regression (LR) analysis to generate a third continuous outcome.

41. The computer readable medium of claim 40, wherein the act of generating the alert includes an act of generating an alert if any of the first continuous outcome, the second continuous outcome and the third continuous outcome indicates the occurrence of the at least one adverse event.

42. The computer readable medium of claim 40, wherein the act of generating the alert includes an act of generating an alert based on a weighted average of the first continuous outcome, the second continuous outcome and the third continuous outcome.

43. The computer readable medium of claim 37, wherein the information includes federally mandated post-market medical device safety information.

44. The computer readable medium of claim 35, wherein the medical entity includes at least one medical procedure.

45. The computer readable medium of claim 35, wherein the medical entity includes at least one drug.

46. The computer readable medium of claim 35, wherein the at least one statistical operation includes a plurality of statistical operations generating a respective plurality of continuous outcomes, and wherein the alert includes a meta-alert indicating an occurrence of at least one adverse event, the meta-alert being triggered based on an analysis of the plurality of continuous outcomes.

47. The computer readable medium of claim 46, wherein each of the plurality of statistical operations generates an alert when the respective continuous outcome is outside a predetermined threshold, and wherein the meta-alert is triggered if a respective predetermined number of the alerts are generated over an observation interval.

48. The computer readable medium of claim 47, wherein the plurality of statistical operations include using at least two of a Bayesian updated statistical (BUS) analysis, statistical process control (SPC), and linear regression (LR).

49. The computer readable medium of claim 35, wherein the information related to the at least one medical entity includes information about results of the at least one medical entity being applied to respective subjects, the subjects being categorized by a risk stratification comprised of a plurality of risk strata associated with characteristics of the subjects, and wherein the at least one statistical operation is generates at least one continuous outcome for each of the plurality of risk strata.

50. The computer readable medium of claim 49, wherein each of the plurality of risk strata is defined by at least one category.

51. The computer readable medium of claim 50, wherein the at least one category includes an age category.