System and method for providing collection and analysis of patient information for use in automated patient care

• US 7,144,369 B2
• Filed: 09/06/2001
• Issued: 12/05/2006
• Est. Priority Date: 06/03/1999
• Status: Expired due to Term

• Current Assignee: Cardiac Intelligence Corp (Boston Scientific Corporation)
• Original Assignee: Cardiac Intelligence Corp (Boston Scientific Corporation)
• Inventors: Bardy, Gust H.
• Primary Examiner(s): Bockelman, Mark
• Application Number:
  US09/948,307
• Publication Number:
  US 20020052542A1
• Time in Patent Office: 1,916 Days
• Field of Search: 600300-301, 600/509, 128/920, 128/923
• US Class Current: 600/300
• CPC Class Codes: A61B 5/0031 Implanted circuitry
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/4803 Speech analysis specially adapted for diagnostic purposes
• CPC Class Codes: A61B 5/7465 Arrangements for interactive communication between patient and care services, e.g. by using a telephone network telemetry of measured physiological signal A61B5/0002
• CPC Class Codes: A61N 1/3627 for treating a mechanical deficiency of the heart, e.g. congestive heart failure or cardiomyopathy
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
• CPC Class Codes: Y10S 128/92 Computer assisted medical diagnostics

Abstract

A system and method for providing collection and analysis of patient information for use in automated patient care. One or more physiological measures relating to individual patient information recorded on a substantially continuous basis are collected. Each of the one or more physiological measures collected at substantially the same time as a set of physiological measures are received. The physiological measures set are stored into a patient care record for an individual patient into a database. One or more of the physiological measures in the patient care record are retrieved from the database. The retrieved physiological measures are analyzed relative to one or more other physiological measures to determine a patient status indicator.

Claims

1. A system for providing collection and analysis of patient information for use in automated patient care, comprising:

an implantable medical device directly measuring and recording individual patient information on a substantially continuous basis, comprising a recordation module collecting physiological measures relating to the individual patient information;

a collection module receiving the physiological measures collected at substantially the same time as a set of physiological measures directly from the implantable medical device;

a database stating the physiological measures set into a patient care record for an individual patient;

an analysis module retrieving a plurality of the physiological measures in the patient care record for the individual patient from the database and analyzing the retrieved physiological measures relative to another plurality of the physiological measures to determine a patient status indicator of patient wellness, to recognize a trend in patient well being for the individual patient, and to detennine whether medical intervention is necessary; and

a feedback module sending automated feedback directly to the individual patient based on the patient status indicator.

2. A system according to claim 1, further comprising:

a database module logically grouping a plurality of the physiological measures, each relating to a same type of individual patient infonnation, into a plurality of peer measures sets; and

a comparison module comparing, during analysis, a plurality of the physiological measures selected from one such peer measures set to a further plurality of the physiological measures selected from another such peer measures set.

3. A system according to claim 1, further comprising:

a database module logically grouping a plurality of the physiological measures, each relating to a different type of individual patient information, into a plurality of sibling measures sets; and

a comparison module comparing, during analysis, a plurality of the physiological measures selected from one such sibling measures set to a further plurality of the physiological measures selected from another such sibling measures set.

4. A system according to claim 1, further comprising:

a database module logically grouping a plurality of the physiological measures, each relating to a same type of individual patient information, into a plurality of peer measures sets and logically grouping a plurality of the physiological measures, each relating to a different type of individual patient information, into a plurality of sibling measures sets; and

a comparison module comparing, during analysis, a plurality of the physiological measures selected from one such peer measures set to a further plurality of the physiological measures selected from one such sibling measures set.

5. A system according to claim 1, further comprising:

a database module selecting a plurality of collected physiological measures, each relating to individual patient information collected by the implantable medical device; and

a comparison module comparing, during analysis, a plurality of the collected physiological measures to a further plurality of the collected physiological measures.

6. A system according to claim 1, further comprising:

a derivation module deriving a plurality of derived physiological measures from the physiological measures; and

a comparison module comparing, during analysis, a plurality of the derived physiological measures to a further plurality of the derived physiological measures.

7. A system according to claim 1, further comprising:

a database module selecting a plurality of the physiological measures, each relating to collected individual patient information;

a derivation module deriving a plurality of derived physiological measures from the physiological measures; and

a comparison module comparing, during analysis, a plurality of the collected physiological measures to a further plurality of the derived physiological measures.

8. A system according to claim 1, further comprising:

a database module retrieving the plurality of physiological measures from one of a patient care record for an individual patient, a peer group, and an overall patient population.

9. A system according to claim 1, further comprising:

a tiered feedback module providing the feedback from the patient status indicator as tiered feedback, comprising;

at a first level of feedback, communicating an interpretation of the patient status indicator;

at a second level of feedback, conmunicating a notification of potential medical concern based on the patient status indicator;

at a third level of feedback, communicating a notification of potential medical concern based on the patient status indicator to medical personnel; and

at a fourth level of feedback, communicating a set of reprogramming instructions based on the patient status indicator to the implantable medical device.

10. A method for providing collection and analysis of patient information for use in automated patient care, comprising:

directly measuring and recording individual patient information through an implantable medical device on a substantially continuous basis, comprising collecting physiological measures relating to the individual patient information;

receiving the physiological measures collected at substantially the same time as a set of physiological measures directly from the implantable medical device;

storing the physiological measures set into a patient care record for an individual patient into a database;

retrieving a plurality of the physiological measures in the patient care record for the individual patient from the database;

analyzing the retrieved physiological measures relative to another plurality of the physiological measures to determine a patient status indicator of patient wellness, to recognize a trend in patient well being for the individual patient, and to determine whether medical intervention is necessary; and

sending automated feedback directly to the individual patient based on the patient status indicator.

11. A method according to claim 10, further comprising:

logically grouping a plurality of the physiological measures, each relating to a same type of individual patient information, into a plurality of peer measures sets; and

comparing, during analysis, a plurality of the physiological measures selected from one such peer measures set to a further plurality of the physiological measures selected from another such peer measures set.

12. A method according to claim 10, further comprising:

logically grouping a plurality of the physiological measures, each relating to a different type of individual patient information, into a plurality of sibling measures sets; and

comparing, during analysis, a plurality of the physiological measures selected from one such sibling measures set to a further plurality of the physiological measures selected from another such sibling measures set.

13. A method according to claim 10, further comprising:

logically grouping a plurality of the physiological measures, each relating to a same type of individual patient information, into a plurality of peer measures sets;

logically grouping a plurality of the physiological measures, each relating to a different type of individual patient information, into a plurality of sibling measures sets; and

comparing, during analysis, a plurality of the physiological measures selected from one such peer measures set to a further plurality of the physiological measures selected from one such sibling measures set.

14. A method according to claim 10, further comprising:

selecting a plurality of collected physiological measures, each relating to individual patient information collected by the implantable medical device; and

comparing, during analysis, a plurality of the collected physiological measures to a further plurality of the collected physiological measures.

15. A method according to claim 10, further comprising:

deriving a plurality of derived physiological measures from the physiological measures; and

comparing, during analysis, a plurality of the derived physiological measures to a further plurality of the derived physiological measures.

16. A method according to claim 10, further comprising:

selecting a plurality of the physiological measures, each relating to collected individual patient information;

deriving a plurality of derived physiological measures from the physiological measures; and

comparing, during analysis, a plurality of the collected physiological measures to a further plurality of the derived physiological measures.

17. A method according to claim 10, further comprising:

retrieving the plurality of physiological measures from one of a patient care record for an individual patient a peer group, and an overall patient population.

18. A method according to claim 10, further comprising:

providing the feedback from the patient status indicator as tiered feedback, comprising;

at a first level of feedback, communicating an interpretation of the patient status indicator;

at a second level of feedback, communicating a notification of potential medical concern based on to patient status indicator;

at a third level of feedback, communicating a notification of potential medical concern based on the patient status indicator to medical personnel; and

at a fourth level of feedback, communicating a set of reprogramming instructions based on the patient status indicator to the implantable medical device.

19. A computer-readable storage medium for a device holding code for performing the method according to claims 10, 11, 12, 13, 14, 15, 16, 17, or 18.

20. A system for analyzing a patient status for use in automated patient care, comprising:

an implantable medical device directly measuring and recording individual patient information on a substantially continuous basis;

a database module directly receiving a set of physiological measures relating to the individual patient information;

a database storing the physiological measures set into a patient care record for an individual patient;

an analysis module analyzing a plurality of the physiological measures in the physiological measures set relative to another plurality of the physiological measures to determine a patient status indicator of patient wellness, to recognize a trend in patient well being for the individual patient, and to determine whether medical intervention is necessary; and

a feedback module sending automated feedback directly to the individual patient based on the patient status indicator.

21. A system according to claim 20, further comprising:

a selection module selecting a peer measures set comprising a plurality of the physiological measures, each relating to a same type of individual patient information and selecting a sibling measures set comprising a plurality of the physiological measures, each relating to a different type of individual patient information; and

a comparison module comparing, during analysis, a plurality of the physiological measures selected from at least one of the peer measures set and the sibling measures set to a further plurality of the physiological measures selected from at least one of the peer measures set and the sibling measures set.

22. A system according to claim 20, further comprising:

a selection module selecting a plurality of the physiological measures, each relating to collected individual patient information;

a derivation module deriving a plurality of derived physiological measures from the physiological measures; and

a comparison module comparing, during analysis, a plurality of the physiological measures selected from at least one of the collected physiological measures and the derived physiological measures to a further plurality of the physiological measures selected from at least one of the collected physiological measures and the derived physiological measures.

23. A system according to claim 20, further comprising:

a retrieval module retrieving, during analysis, the plurality of physiological measures for one of an individual patient, a peer group, and an overall patient population.

24. A method for analyzing a patient status for use in automated patient care, comprising:

directly measuring and recording individual patient information through an implantable medical device on a substantially continuous basis;

directly receiving a set of physiological measures relating to the individual patient information;

storing the physiological measures set into a patient care record for an individual patient into a database;

analyzing a plurality of the physiological measures in the physiological measures set relative to another plurality of the physiological measures to determine a patient status indicator of patient wellness, to recognize a trend in patient well being for the individual patient, and to determine whether medical intervention is necessary; and

sending automated feedback directly to the individual patient based on the patient status indicator.

25. A method according to claim 24, further comprising:

selecting a peer measures set comprising a plurality of the physiological measures, each relating to a same type of individual patient information;

selecting a sibling measures set comprising a plurality of the physiological measures, each relating to a different type of individual patient information; and

comparing, during analysis, a plurality of the physiological measures selected from at least one of the peer measures set and tbe sibling measures set to a further plurality of the physiological measures selected from at least one of the peer measures set and the sibling measures set.

26. A method according to claim 24, further comprising:

selecting a plurality of the physiological measures, each relating to collected individual patient information;

deriving a plurality of derived physiological measures from the physiological measures; and

comparing, during analysis, a plurality of the physiological measures selected from at least one of the collected physiological measures and the derived physiological measures to a further plurality of the pbysiological measures selected from at least one of the collected physiological measures and the derived physiological measures.

27. A method according to claim 24, further comprising:

retrieving, during analysis, the plurality of physiological measures for one of an individual patient, a peer group, and an overall patient population.

28. A computer-readable storage medium for a device holding code for performing the method according to claims 24, 25, 26, or 27.