System and apparatus for providing baseline data for automated patient management

• US 8,702,603 B2
• Filed: 12/06/2006
• Issued: 04/22/2014
• Est. Priority Date: 07/26/1999
• Status: Expired due to Fees

• Current Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Original Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Inventors: Bardy, Gust H.
• Primary Examiner(s): Thomson, Bill
• Assistant Examiner(s): JIAN, SHIRLEY XUEYING
• Application Number:
  US11/635,364
• Publication Number:
  US 20070179357A1
• Time in Patent Office: 2,694 Days
• Field of Search: 600/300, 600/301, 128903-905, 128/920
• US Class Current: 600/300
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/4884 inducing physiological or psychological stress, e.g. applications for stress testing
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• 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: G16H 70/00 ICT specially adapted for the handling or processing of medical references

Abstract

A system and method for providing baseline data for automated patient management is disclosed. A patient is identified for enrollment in automated patient management with information including at least one of treatment profile and medical history. Device measures are collected to provide raw physiometry for the patient regularly recorded by a medical device, beginning with an initial observation period. Derived device measures are determined to provide derivative physiometry based on the collected device measures. Baseline data from the collected and derived device measures are quantified.

Claims

1. An apparatus for automated patient management, comprising:

an identification module to receive information comprising treatment profile and medical history to identify a patient for enrollment in automated patient management;

a collected measures module to receive collected device measures as raw physiometry for the patient regularly recorded by a medical device, beginning with an initial observation period;

a derived measures module to receive derived device measures as derivative physiometry based on the collected device measures;

a quality of life module to receive quality of life measures over the initial observation period contemporaneous to recordation of the collected device measures, wherein the quality of life measures provide a self-assessment of physical and emotional well-being by the patient;

a processing module to process the collected and derived device measures and the quality of life measures into a reference baseline comprising a set of reference measures;

an acceptance module to receive acceptance parameters as a threshold for the reference measures in the reference baseline to determine automated patient care eligibility, wherein the acceptance parameters are indicator values consistent with the presence of some form of chronic yet stable disease, which does not require immediate emergency care; and

a processor to execute the modules.

2. An apparatus according to claim 1, further comprising:

a determination module to determine a wellness indicator by analyzing one or more of the collected and derived device measures against the acceptance parameters.

3. An apparatus according to claim 1, further comprising:

a non-acceptance module to receive non-acceptance parameters as a threshold for the reference measures in the reference baseline in terms of one or more of substantially normal activity and exercise; and

a determination module to determine a rejection indicator by analyzing one or more of the collected and derived device measures against the non-acceptance parameters.

4. An apparatus according to claim 1, wherein a set of timed physical stressors are performed by the patient over the initial observation period contemporaneous to recordation of the collected device measures.

5. An apparatus according to claim 1, further comprising:

a reprogramming module to define reprogramming parameters for the medical device, wherein the collected device measures are recorded subsequent to application of the reprogramming parameters.

6. A system for providing baseline data for automated patient management, comprising:

a database, comprising;

information to identify a patient for enrollment in automated patient management and comprising treatment profile and medical history;

collected device measures to provide raw physiometry for the patient regularly recorded by a medical device, beginning with an initial observation period;

derived device measures based on the collected device measures to provide derivative physiometry; and

quality of life measures to provide data electronically recorded over the initial observation period contemporaneous to recordation of the collected device measures, wherein the quality of life measures provide a self-assessment of physical and emotional well-being by the patient;

an interface module to periodically receive the collected device measures from the medical device;

an application module to derive the derived device measures from the collected device measures;

a processing module to process the collected and derived device measures and the quality of life measures into a reference baseline comprising a set of reference measures;

an acceptance module to receive acceptance parameters as a threshold for the reference measures in the reference baseline to determine automated patient care eligibility, wherein the acceptance parameters are indicator values consistent with the presence of some form of chronic yet stable disease, which does not require immediate emergency care; and

a processor to execute the modules.

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

a determination module to determine a wellness indicator by analyzing one or more of the collected and derived device measures against the acceptance parameters.

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

a non-acceptance module to receive non-acceptance parameters to define a threshold for the reference measures in the reference baseline in terms of one or more of substantially normal activity and exercise; and

a determination module to determine a rejection indicator by analyzing one or more of the collected and derived device measures against the non-acceptance parameters.

9. A system according to claim 6, wherein a set of timed physical stressors are performed by the patient over the initial observation period contemporaneous to recordation of the collected device measures.

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

a reprogramming module to define reprogramming parameters for the medical device, wherein the collected device measures are recorded subsequent to application of the reprogramming parameters.

11. A system according to claim 6, wherein the medical device is selected from the set comprising an implantable medical device and an external medical device.

12. A system for automated patient management, comprising:

a data collection module to receive device data for a patient for enrollment in automated patient management, comprising at least one of;

an identification module to receive information to identify the patient comprising treatment profile and medical history;

a collected measures module to receive collected device measures as raw physiometry for the patient regularly recorded by a medical device, beginning with an initial observation period; and

a derived measures module to receive derived device measures as derivative physiometry based on the collected device measures; and

a quality of life module to receive quality of life measures over the initial observation period contemporaneous to recordation of the collected device measures, wherein the quality of life measures provide a self-assessment of physical and emotional well-being by the patient; and

a processing module to process the collected and derived device measures and the quality of life measures into a reference baseline comprising a set of reference measures;

an analysis module to determine a wellness indicator by analyzing one or more of the collected and derived device measures against acceptance parameters that define a threshold for one or more of the reference measures in the reference baseline to determine automated patient care eligibility, wherein the acceptance parameters are indicator values consistent with the presence of some form of chronic yet stable disease, which does not require immediate emergency care; and

a processor to execute the modules.

13. A system according to claim 12, further comprising:

a reprogramming module to define reprogramming parameters for the medical device, wherein the collected device measures are recorded subsequent to application of the reprogramming parameters.