Self-improving method of using online communities to predict health-related outcomes
First Claim
1. A computer implemented method for providing real-time personalized medical predictions for an individual patient within a community of patients having a disease, the method comprising:
- providing a plurality of computers each having a graphical user interface, each said computer being associated with a particular patient and including a processor configured with executable instructions to allow each patient of the community of patients to input self-reported information relating to one or more attributes of the particular patient without being responsive to a series of pre-programmed questions, the processor of each computer being further configured to;
receive self-reported patient information from a plurality of patients within the community of patients via the graphical user interface, the self-reported patient information including one or more attributes for each patient in the plurality of patients;
store the self-reported patient information in a database containing self-reported patient information for the community of patients;
construct a model of a disease based on disease progressions wherein a disease progression is based on a patient'"'"'s disease and self-reported patient information stored in the database for a subset of the plurality of patients within the community of patients;
receive a request from an individual patient from the community of patients; and
determine a real-time prediction concerning the effect of an intervention for the individual patient based on the model and individual patient'"'"'s attributes and analyzing an effect of the intervention by obtaining a difference between or comparing the outcome of a disease progress with and without an intervention.
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Accused Products
Abstract
The invention is directed, in part, to method of using self-reported health data in online communities to predict significant health events in life-changing illnesses to improve the lives of individuals and to improve patient self-management. The invention provides a method for providing real-time personalized medical predictions for an individual patient. The method includes: providing a database containing patient information for a plurality of other patients including one or more attributes for each patient in the database; constructing a model of a disease based on disease progressions for the plurality of patients; receiving a request from the individual patient, the patient associated with one or more attributes; and making a real-time prediction for the individual patient based on the mode and the individual patient'"'"'s attributes.
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Citations
21 Claims
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1. A computer implemented method for providing real-time personalized medical predictions for an individual patient within a community of patients having a disease, the method comprising:
providing a plurality of computers each having a graphical user interface, each said computer being associated with a particular patient and including a processor configured with executable instructions to allow each patient of the community of patients to input self-reported information relating to one or more attributes of the particular patient without being responsive to a series of pre-programmed questions, the processor of each computer being further configured to; receive self-reported patient information from a plurality of patients within the community of patients via the graphical user interface, the self-reported patient information including one or more attributes for each patient in the plurality of patients; store the self-reported patient information in a database containing self-reported patient information for the community of patients; construct a model of a disease based on disease progressions wherein a disease progression is based on a patient'"'"'s disease and self-reported patient information stored in the database for a subset of the plurality of patients within the community of patients; receive a request from an individual patient from the community of patients; and determine a real-time prediction concerning the effect of an intervention for the individual patient based on the model and individual patient'"'"'s attributes and analyzing an effect of the intervention by obtaining a difference between or comparing the outcome of a disease progress with and without an intervention. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21)
Specification