Method for selecting a clinical treatment plan tailored to patient defined health goals
Abstract
The invention discloses a method by which the health care professional or patient may draw upon historical medical data concerning patients similarly situated in medical condition, to assist him/her in deciding on a clinical intervention procedure to select. This method is specifically tailored to the patient, as data is provided and evaluated from only similarly situated patients, and provides an expectation of potential outcome of the patient should one or the other of the options be selected. The invention further provides a database that may be used in order to provide this comparison based evaluation method. A computer based software system is further disclosed that implements the method. The invention more specifically provides a method by which a post-coronary event patient may make an informed decision of which post-coronary revascularization procedure to undergo in the future management of his disease. This method employs the patient's health status date (symptoms, function and quality of life), and provides projections of the patient's expected survival, risk, and 1-year health status outcome from the selection of revascularization procedure, such as Coronary Artery Bypass Grafting (CABG) or Percutaneous Coronary Intervention (PCI).
Claims
exact text as granted — not AI-modified1 . (canceled)
2 . A non-transitory computer readable storage medium storing instructions that when executed by a computer system, cause the computer system to perform operations comprising:
retrieving from non-transitory memory clinical information regarding a first individual patient; assessing health status parameters of the first individual patient; identifying, from clinical information for a plurality of patients stored in a database, other patients having similar health status parameters as the first individual patient, the health status parameters comprising disease states and demographics; identifying health outcomes associated with the identified other patients and corresponding treatments received by the identified other patients, wherein a first set of the identified other patients received a first treatment and a second set of the identified other patients received a second treatment; identifying projected health outcomes for the first individual patient based at least in part on health outcomes of the first set of the identified other patients that received the first treatment and on health outcomes of the second set of the identified other patients that received the second treatment; generating a presentation of the identified projected health outcomes and enabling a selection of a treatment corresponding to one of the identified projected health outcomes.
3 . The non-transitory computer readable storage medium as defined in claim 2 , the operations further comprising:
projecting a survival probability or a quality of life probability for the first individual patient; predicting health status outcomes for at least one individual patient suffering from at least one of a condition of:
coronary artery disease, or
peripheral vascular disease, or
congestive heart failure, or
chronic obstructive pulmonary disease, or
cancer,
by isolating treatment regimens for at least one of the conditions.
4 . The non-transitory computer readable storage medium as defined in claim 2 , wherein the clinical information for the plurality of patients includes economic burden for at least one patient.
5 . The non-transitory computer readable storage medium as defined in claim 2 , wherein the clinical information for the plurality of patients includes economic burden and health status assessment for at least one patient.
6 . The non-transitory computer readable storage medium as defined in claim 2 , wherein the first individual patient's demographics include living situation, and
the identified projected health outcomes are identified based at least in part on the first individual patient's living situation.
7 . The non-transitory computer readable storage medium as defined in claim 2 , wherein the first individual patient's demographics include social support and,
the identified projected health outcomes are identified based at least in part on the first individual patient's social support.
8 . The non-transitory computer readable storage medium as defined in claim 2 , wherein the first individual patient's demographics include employment status, and
the identified projected health outcomes are identified based at least in part on the first individual patient's employment status.
9 . The non-transitory computer readable storage medium as defined in claim 2 , wherein the first individual patient's demographics include type of employment, and
the identified projected health outcomes are identified based at least in part on the first individual patient's type of employment.
10 . The non-transitory computer readable storage medium as defined in claim 2 , wherein the first individual patient's demographics include education level, and
the identified projected health outcomes are identified based at least in part on the first individual patient's education level.
11 . The non-transitory computer readable storage medium as defined in claim 2 , wherein identifying projected health outcomes for the first individual patient is based in part on a preference of the first individual patient and on a goal of the first individual patient.
12 . The non-transitory computer readable storage medium as defined in claim 2 , the operations further comprising projecting a survival probability or a quality of life probability for the first individual patient.
13 . The non-transitory computer readable storage medium as defined in claim 2 , the operations further comprising indicating an appropriate post-cardiac clinical regime using a statistical analysis on a quality of life profile associated with the first individual patient.
14 . The non-transitory computer readable storage medium as defined in claim 2 , the operations further comprising indicating an appropriate post-cardiac clinical regime by performing a statistical analysis on the first individual patient's quality of life profile, computing a statistical average based on the statistical analysis, and computing a statistical deviation about the average.
15 . The non-transitory computer readable storage medium as defined in claim 2 , the operations further comprising:
predicting health status outcomes for at least one individual patient suffering from one or more of the following conditions:
arthritis, chronic obstructive pulmonary disease, cancer, or a peripheral vascular disease,
by isolating treatment regimens for the one or more conditions that resulted historically in health status outcomes and goals corresponding to those of the first individual patient to thereby provide the first individual patient with a corresponding set of health care options from which to select.
16 . A computer implemented method comprising:
retrieving from non-transitory memory clinical information regarding a first individual patient; identifying, from clinical information for a plurality of patients stored in a database, other patients having similar health status parameters as the first individual patient, the health status parameters comprising disease states and demographics; identifying, by the computer system, health outcomes associated with the identified other patients and corresponding treatments received by the identified other patients, wherein a first set of the identified other patients received a first treatment and a second set of the identified other patients received a second treatment; identifying, by the computer system, projected health outcomes for the first individual patient based at least in part on health outcomes of the first set of the identified other patients that received the first treatment and on health outcomes of the second set of the identified other patients that received the second treatment; generating, by the computer system, a presentation of the identified projected health outcomes and enabling a selection of a treatment corresponding to one of the identified projected health outcomes.
17 . The method as defined in claim 16 , the method further comprising:
projecting, by the computer system, a survival probability or a quality of life probability for the first individual patient; predicting, by the computer system, health status outcomes for at least one individual patient suffering from at least one of a condition of:
coronary artery disease, or
peripheral vascular disease, or
congestive heart failure, or
chronic obstructive pulmonary disease, or
cancer,
by isolating treatment regimens for at least one of the conditions.
18 . The method as defined in claim 16 , wherein the first individual patient's demographics include education level, and
the identified projected health outcomes are identified based at least in part on the first individual patient's education level.
19 . The method as defined in claim 16 , wherein identifying projected health outcomes or the first individual patient is based in part on a preference of the first individual patient and on a goal of the first individual patient.
20 . The method as defined in claim 16 , the method further comprising further comprising projecting a survival probability or a quality of life probability for the first individual patient.
21 . The method as defined in claim 16 , the method further comprising indicating an appropriate post-cardiac clinical regime using a statistical analysis on a quality of life profile associated with the first individual patient.
22 . The method as defined in claim 16 , the method further comprising indicating an appropriate post-cardiac clinical regime by performing a statistical analysis on the first individual patient's quality of life profile, computing a statistical average based on the statistical analysis, and computing a statistical deviation about the average.
23 . The method as defined in claim 16 , the method further comprising:
predicting health status outcomes for at least one individual patient suffering from one or more of the following conditions:
arthritis, chronic obstructive pulmonary disease, cancer, or a peripheral vascular disease,
by isolating treatment regimens for the one or more conditions that resulted historically in health status outcomes and goals corresponding to those of the first individual patient to thereby provide the first individual patient with a corresponding set of health care options from which to select.
24 . A computer system comprising:
a processing device; non-transitory computer readable storage medium storing instructions that when executed by the processing device, cause the computer system to perform operations comprising: retrieving from non-transitory memory clinical information regarding a first individual patient; assessing health status parameters of the first individual patient; identifying, from clinical information for a plurality of patients stored in a database, other patients having similar health status parameters as the first individual patient, the health status parameters comprising disease states and demographics; identifying health outcomes associated with the identified other patients and corresponding treatments received by the identified other patients, wherein a first set of the identified other patients received a first treatment and a second set of the identified other patients received a second treatment; identifying projected health outcomes for the first individual patient based at least in part on health outcomes of the first set of the identified other patients that received the first treatment and on health outcomes of the second set of the identified other patients that received the second treatment; generating a presentation of the identified projected health outcomes and enabling a selection of a treatment corresponding to one of the identified projected health outcomes.
25 . The system as defined in claim 24 , the operations further comprising:
projecting a survival probability or a quality of life probability for the first individual patient; predicting health status outcomes for at least one individual patient suffering from at least one of a condition of:
coronary artery disease, or
peripheral vascular disease, or
congestive heart failure, or
chronic obstructive pulmonary disease, or
cancer,
by isolating treatment regimens for at least one of the conditions.
26 . The system as defined in claim 24 , wherein the first individual patient's demographics include education level, and
the identified projected health outcomes are identified based at least in part on the first individual patient's education level.
27 . The system as defined in claim 24 , wherein identifying projected health outcomes for the first individual patient is based in part on a preference of the first individual patient and on a goal of the first individual patient.
28 . The system as defined in claim 24 , the operations further comprising further comprising projecting a survival probability or a quality of life probability for the first individual patient.
29 . The system as defined in claim 24 , the operations further comprising indicating an appropriate post-cardiac clinical regime using a statistical analysis on a quality of life profile associated with the first individual patient.
30 . The system as defined in claim 24 , the operations further comprising indicating an appropriate post-cardiac clinical regime by performing a statistical analysis on the first individual patient's quality of life profile, computing a statistical average based on the statistical analysis, and computing a statistical deviation about the average.
31 . The system as defined in claim 24 , the operations, the operations further comprising:
predicting health status outcomes for at least one individual patient suffering from one or more of the following conditions:
arthritis, chronic obstructive pulmonary disease, cancer, or a peripheral vascular disease,
by isolating treatment regimens for the one or more conditions that resulted historically in health status outcomes and goals corresponding to those of the first individual patient to thereby provide the first individual patient with a corresponding set of health care options from which to select.Join the waitlist — get patent alerts
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