초록 ▼

A system for collection and analysis of patient information for automated remote patient care is presented. A medical device adapted to be implanted for an individual patient regularly records and stores measures sets containing individual measures which each relate to patient information. A databas

A system for collection and analysis of patient information for automated remote patient care is presented. A medical device adapted to be implanted for an individual patient regularly records and stores measures sets containing individual measures which each relate to patient information. A database collects one or more patient care records organized to include a plurality of the collected measures sets, and stores the collected measures set into a patient care record for the individual patient within a database. A server periodically receives a set of the collected measures from the medical device adapted to be implanted, and analyzes one or more of the collected measures sets in the patient care record for the individual patient relative to one or more other collected measures sets stored in the database server to determine a patient status indicator.

대표청구항 ▼

What is claimed is: 1. A system for collection and analysis of patient information for automated remote patient care, comprising: an implantable medical device for an individual patient regularly recording and storing measures sets comprising individual measures which each relate to patient informa

What is claimed is: 1. A system for collection and analysis of patient information for automated remote patient care, comprising: an implantable medical device for an individual patient regularly recording and storing measures sets comprising individual measures which each relate to patient information; a database collecting one or more patient care records, organizing one or more patient care records which each comprise a plurality of the collected measures sets, and storing the collected measures set into a patient care record for the individual patient within a database; and a server periodically receiving a set of the collected measures from the implantable medical device over a communications link, and analyzing one or more of the collected measures sets in the patient care record for the individual patient relative to one or more other collected measures sets stored in the database to determine a patient status indicator. 2. A system according to claim 1, the server further comprising: a comparison module comparing an initial measure selected from the one or more collected measures sets to a sibling measure selected from the one or more other collected measures sets, the initial measure and the sibling measure both relating to the same type of patient information. 3. A system according to claim 1, the server further comprising: a derivation module determining an initial derived measure using at least one measure selected from the one or more collected measures sets and determining a sibling derived measure using at least one measure selected from the one or more other collected measures sets, the initial derived measure and the sibling derived measure both relating to the same type of derived patient information; and a comparison module comparing the initial derived measure to the sibling derived measure. 4. A system according to claim 1, the server further comprising: a comparison module comparing an initial measure selected from the one or more collected measures sets to a peer measure selected from the one or more other collected measures sets, the initial measure relating to a different type of patient information than the peer measure. 5. A system according to claim 1, the server further comprising: a derivation module determining a peer derived measure using at least one measure selected from the one or more other collected measures sets; and a comparison module comparing an initial measure selected from the one or more collected measures sets to the peer derived measure, the initial measure relating to a different type of patient information than the derived patient information to which the peer derived measure relates. 6. A system according to claim 1, the server further comprising: a derivation module determining an initial derived measure using at least one measure selected from the one or more collected measures sets; and a comparison module comparing the initial derived measure to a peer measure selected from the one or more other collected measures sets, the initial derived measure relating to a different type of derived patient information than the patient information to which the peer measure relates. 7. A system according to claim 1, the server further comprising: a derivation module determining an initial derived measure using at least one measure selected from the one or more collected measures sets and determining a peer derived measure using at least one measure selected from the one or more other collected measures sets; and a comparison module comparing the initial derived measure to the peer derived measure, the initial derived measure relating to a different type of derived patient information than the derived patient information to which the peer derived measure relates. 8. A system according to claim 1, wherein the one or more other collected measures sets are stored in the patient care record for the individual patient for whom the patient care indicator has been determined. 9. A system according to claim 1, wherein the one or more other collected measures sets are stored in the patient care records for a group of one or more other individual patients. 10. A system according to claim 1, further comprising: a collection client communicatively interposed between the implantable medical device and the communications link, the collection client retrieving the collected measures set and downloading the collected measures set from the collection client into the database over the communications link. 11. A system according to claim 10, wherein the collection client is selected from the group consisting of a programmer, interrogator, recorder, monitor, telemetered signals transceiver, personal computer, digital data processor, and combinations thereof. 12. A system according to claim 1, the server being interfaced to a feedback communications link and further comprising: a feedback client interfaced to the feedback communications link over which automated feedback based on the patient status indicator is provided to the individual patient from the server. 13. A system according to claim 12, the server further comprising: a feedback module providing tiered feedback comprising: at a first level of feedback, communicating an interpretation of the patient status indicator to the individual patient; at a second level of feedback, communicating a notification of potential medical concern based on the patient status indicator to the individual patient; at a third level of feedback, communicating a notification of potential medical concern based on the patient status indicator to medical personnel in local proximity to the individual patient; and at a fourth level of feedback, communicating a set of reprogramming instructions based on the patient status indicator to the implantable medical device. 14. A system according to claim 12, wherein the automated feedback comprises at least one of the group consisting of a peer group status indicator, a historical status indicator, a trend indicator, a medicinal efficacy indicator, and a wellness indicator. 15. A system according to claim 12, wherein the feedback communications link comprises at least one of the following: internetwork link, intranetwork link, serial link, data telephone link, satellite link, radio-frequency link, infrared link, fiber optic link, coaxial cable link, television link, and combinations thereof. 16. A system according to claim 12, wherein the feedback client is selected from the group consisting of a personal computer, facsimile machine, telephone instrument, network computer, wireless computer, personal data assistant, television, digital data processor, and combinations thereof. 17. A system according to claim 1, the server further comprising: an analysis module dynamically analyzing the one or more of the collected measures sets in the patient care record for the individual patient. 18. A system according to claim 1, the server further comprising: an analysis module analyzing the one or more of the collected measures sets in the patient care record for the individual patient in a batch comprising the one or more of the collected measures sets in patient care records for a plurality of individual patients. 19. A system according to claim 1, wherein the communications link comprises at least one of the following: internetwork link, intranetwork link, serial link, data telephone link, satellite link, radio-frequency link, infrared link, fiber optic link, coaxial cable link, television link, and combinations thereof. 20. A system according to claim 1, wherein the database comprises at least one of the following: volatile storage, non-volatile storage, removable storage, fixed storage, random access storage, sequential access storage, permanent storage, erasable storage, and combinations thereof. 21. A systcm according to claim 1, wherein the organization of the database comprises at least one of the following: flat file, hierarchical database, relational database, distributed database, and combinations thereof. 22. A system according to claim 1, wherein the server is selected from the group consisting of a personal computer, minicomputer, mainframe computer, supercomputer, parallel computer, workstation, digital data processor, and combinations thereof. 23. A system according to claim 1, wherein the medical device is selected from the group consisting of a pacemaker, implantable cardioverter defibrillator, implantable heart failure monitor, implantable event monitor, implantable cardiopulmonary monitor, implantable metabolic monitor or device, endocrinology monitor or device, hematology monitor or device, implantable neuromuscular monitor or device, implantable gastrointestinal monitor or device, genitourinary monitor or device, and combinations thereof. 24. A system according to claim 1, wherein the set of collected measures comprises at least one of the following: atrial electrical activity, ventricular electrical activity, time of day, activity level, cardiac output, oxygen level, cardiovascular pressure measures, pulmonary measures, interventions made, and combinations thereof. 25. A system according to claim 24, the set of collected measures further comprising derived measures selected from the group consisting of linear measures derived from the set of collected measures, non-linear measures derived from the set of collected measures, and combinations thereof. 26. A method for collection and analysis of patient information for automated remote patient care, comprising: regularly recording and storing measures sets comprising individual measures which each relate to patient information using an implantable medical device for an individual patient; periodically receiving a set of the collected measures from the implantable medical device over a communications link; collecting one or more patient care records into a database, comprising: organizing one or more patient care records which each comprise a plurality of the collected measures sets; storing the collected measures set into a patient care record for the individual patient within the database; and analyzing one or more of the collected measures sets in the patient care record for the individual patient relative to one or more other collected measures sets stored in the database to determine a patient status indicator. 27. A method according to claim 26, the operation of analyzing the one or more collected measures sets further comprising: comparing an initial measure selected from the one or more collected measures sets to a sibling measure selected from the one or more other collected measures sets, the initial measure and the sibling measure both relating to the same type of patient information. 28. A method according to claim 26, the operation of analyzing the one or more collected measures sets further comprising: determining an initial derived measure using at least one measure selected from the one or more collected measures sets; determining a sibling derived measure using at least one measure selected from the one or more other collected measures sets, the initial derived measure and the sibling derived measure both relating to the same type of derived patient information; and comparing the initial derived measure to the sibling derived measure. 29. A method according to claim 26, the operation of analyzing the one or more collected measures sets further comprising: comparing an initial measure selected from the one or more collected measures sets to a peer measure selected from the one or more other collected measures sets, the initial measure relating to a different type of patient information than the peer measure. 30. A method according to claim 26, the operation of analyzing the one or more collected measures sets further comprising: determining a peer derived measure using at least one measure selected from the one or more other collected measures sets; and comparing an initial measure selected from the one or more collected measures sets to the peer derived measure, the initial measure relating to a different type of patient information than the derived patient information to which the peer derived measure relates. 31. A method according to claim 26, the operation of analyzing the one or more collected measures sets further comprising: determining an initial derived measure using at least one measure selected from the one or more collected measures sets; and comparing the initial derived measure to a peer measure selected from the one or more other collected measures sets, the initial derived measure relating to a different type of derived patient information than the patient information to which the peer measure relates. 32. A method according to claim 26, the operation of analyzing the one or more collected measures sets further comprising: determining an initial derived measure using at least one measure selected from the one or more collected measures sets; determining a peer derived measure using at least one measure selected from the one or more other collected measures sets; and comparing the initial derived measure to the peer derived measure, the initial derived measure relating to a different type of derived patient information than the derived patient information to which the peer derived measure relates. 33. A method according to claim 26, wherein the one or more other collected measures sets are stored in the patient care record for the individual patient for whom the patient care indicator has been determined. 34. A method according to claim 26, wherein the one or more other collected measures sets are stored in the patient care records for a group of one or more other individual patients. 35. A method according to claim 26, further comprising: retrieving the collected measures set into a collection client communicatively interposed between the implantable medical device and the communications link; and downloading the collected measures set from the collection client into the database over the communications link. 36. A method according to claim 35, wherein the collection client is selected from the group consisting of a programmer, interrogator, recorder, monitor, telemetered signals transceiver, personal computer, digital data processor, and combinations thereof. 37. A method according to claim 26, further comprising: interfacing the server to a feedback communications link; and providing automated feedback based on the patient status indicator to the individual patient from the server over the feedback communications link. 38. A method according to claim 37, further comprising: providing tiered feedback comprising: at a first level of feedback, communicating an interpretation of the patient status indicator to the individual patient; at a second level of feedback, communicating a notification of potential medical concern based on the patient status indicator to the individual patient; at a third level of feedback, communicating a notification of potential medical concern based on the patient status indicator to medical personnel in local proximity to the individual patient; and at a fourth level of feedback, communicating a set of reprogramming instructions based on the patient status indicator to the implantable medical device. 39. A method according to claim 37, wherein the automated feedback comprises at least one of the group consisting of a peer group status indicator, a historical status indicator, a trend indicator, a medicinal efficacy indicator, and a wellness indicator. 40. A method according to claim 37, wherein a feedback communications link comprises at least one of the following: internetwork link, intranetwork link, serial link, data telephone link, satellite link, radio-frequency link, infrared link, fiber optic link, coaxial cable link, television link, and combinations thereof. 41. A method according to claim 37, wherein the feedback client is selected from the group consisting of a personal computer, facsimile machine, telephone instrument, network computer, wireless computer, personal data assistant, television, digital data processor, and combinations thereof. 42. A method according to claim 26, further comprising: dynamically analyzing the one or more of the collected measures sets in the patient care record for the individual patient. 43. A method according to claim 26, further comprising: analyzing the one or more of the collected measures sets in the patient care record for the individual patient in a batch comprising the one or more of the collected measures sets in patient care records for a plurality of individual patients. 44. A method according to claim 26, wherein a communications link comprises at least one of the following: internetwork link, intranetwork link, serial link, data telephone link, satellite link, radio-frequency link, infrared link, fiber optic link, coaxial cable link, television link, and combinations thereof. 45. A method according to claim 26, wherein the database comprises at least one of the following: volatile storage, non-volatile storage, removable storage, fixed storage, random access storage, sequential access storage, permanent storage, erasable storage, and combinations thereof. 46. A method according to claim 45, wherein an organization of the database comprises at least one of the following: flat file, hierarchical database, relational database, distributed database, and combinations thereof. 47. A method according to claim 26, wherein a server is selected from the group consisting of a personal computer, minicomputer, mainframe computer, supercomputer, parallel computer, workstation, digital data processor, and combinations thereof. 48. A method according to claim 26, wherein the medical device is selected from the group consisting of a pacemaker, implantable cardioverter defibrillator, implantable heart failure monitor, implantable event monitor, implantable cardiopulmonary monitor, implantable metabolic monitor or device, endocrinology monitor or device, hematological monitor or device, implantable neuromuscular monitor or device, implantable gastrointestinal monitor or device, genitourinary monitor or device, and combinations thereof. 49. A method according to claim 26, wherein the set of collected measures comprises at least one of the following: atrial electrical activity, ventricular electrical activity, time of day, activity level, cardiac output, oxygen level, cardiovascular pressure measures, pulmonary measures, interventions made, and combinations thereof. 50. A method according to claim 49, the set of collected measures further comprising derived measures selected from the group consisting of linear measures derived from the set of collected measures, non-linear measures derived from the set of collected measures, and combinations thereof.