System and apparatus for providing baseline data for automated patient management
First Claim
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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.
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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.
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Citations
13 Claims
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1. An apparatus for automated patient management, comprising:
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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. - View Dependent Claims (2, 3, 4, 5)
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6. A system for providing baseline data for automated patient management, comprising:
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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. - View Dependent Claims (7, 8, 9, 10, 11)
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12. A system for automated patient management, comprising:
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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. - View Dependent Claims (13)
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Specification