Using predictive models to continuously update a treatment plan for a patient in a health care location
First Claim
1. A system for determining a treatment plan for a patient comprising:
- a network;
a datastore accessible to a remote command center via the network, wherein the datastore comprises assessment data elements indicative of medical conditions associated with geographically dispersed patients;
a decision support system at the remote command center, wherein the decision support system is connected to the network and comprises a software module, wherein the software module comprises instructions for;
continuously applying a predictive model to a first set of selected assessment data elements to produce current health measures for the patient; and
utilizing the health measures to produce a treatment plan for the patient, wherein the treatment plan is continuously updated based on the current health measures; and
a rules generator connected to the network, wherein the rules generator comprises instructions for establishing a patient-specific rule for the patient consistent with the treatment plan for the patient; and
a rules engine at the remote command center, wherein the rules engine is connected to the network and comprises instructions for;
applying the patient-specific rule continuously to a second set of selected assessment data elements;
determining in an automated fashion 24 hours per day 7 days per week whether the patient-specific rule for the patient has been contravened; and
issuing an alert if the patient-specific rule for the patient has been contravened.
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Accused Products
Abstract
A system for determining a treatment plan for a patient comprises a database of patient data elements indicative of a medical condition associated with a patient. A predictive model is applied to patient assessment data and used to prepare a treatment plan. A rules engine applies a patient rule consistent with the treatment plan to selected data elements stored in the database to produce an output indicative of a change in the medical condition of the patient. The output from the rules engine is used to determine if intervention is warranted. The predictive model is applied continuously to determine whether to update the treatment plan and, if necessary, the patient rule.
359 Citations
58 Claims
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1. A system for determining a treatment plan for a patient comprising:
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a network; a datastore accessible to a remote command center via the network, wherein the datastore comprises assessment data elements indicative of medical conditions associated with geographically dispersed patients; a decision support system at the remote command center, wherein the decision support system is connected to the network and comprises a software module, wherein the software module comprises instructions for; continuously applying a predictive model to a first set of selected assessment data elements to produce current health measures for the patient; and utilizing the health measures to produce a treatment plan for the patient, wherein the treatment plan is continuously updated based on the current health measures; and a rules generator connected to the network, wherein the rules generator comprises instructions for establishing a patient-specific rule for the patient consistent with the treatment plan for the patient; and a rules engine at the remote command center, wherein the rules engine is connected to the network and comprises instructions for; applying the patient-specific rule continuously to a second set of selected assessment data elements; determining in an automated fashion 24 hours per day 7 days per week whether the patient-specific rule for the patient has been contravened; and issuing an alert if the patient-specific rule for the patient has been contravened. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31)
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32. A method for determining a treatment plan for a patient comprising:
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storing assessment data elements indicative of a medical conditions associated with geographically dispersed patients in a datastore, wherein the datastore is accessible to a remote command center via a network; accessing a first set of assessment data elements indicative of a medical condition associated with the patient; continuously applying a predictive model to the first set of selected assessment data elements to produce current health measures for the patient; utilizing the health measures to produce a treatment plan for the patient, wherein the treatment plan is continuously updated based on the current health measures; and establishing a patient-specific rule for the patient consistent with the treatment plan for the patient; applying the patient-specific rule continuously to a second set of selected assessment data elements; determining in an automated fashion at the remote command center 24 hours per day 7 days per week whether the patient-specific rule for the patient has been contravened; and issuing an alert if the patient-specific rule for the patient has been contravened. - View Dependent Claims (33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58)
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Specification