Patientslikeme, Inc.

Benjamin Heywood

James Heywood

Jeff Cole

Paul Wicks

The invention provides a system and a method for tracking, assessing, and managing personalized data related to medical conditions, diseases, disease symptoms, treatments, body function metrics, health and well-being, education, and training. In one embodiment, a method for personalized management of a medical condition is provided. The method includes providing a graphical user interface for allowing the patient to input at least one medical condition metric and at least one intervention, receiving at least one medical condition metric for a patient for a time interval, receiving information about at least one intervention for the patient for the time interval, and displaying the at least one medical condition metric and intervention over the time interval.

Personalized management and monitoring of medical conditions

The invention can be directed toward a method for personalized management and comparison of medical condition and outcome based on patient profiles of a community of patients. The method can include the steps of providing a database of patient profiles, providing a user interface for inputting a query of the database from a user, generating a query result including one or more matching patient profiles from the database, and displaying the query result as a correlation medical condition parameters of the user with a medical outcome.

Personalized management and comparison of medical condition and outcome based on profiles of community patients

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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Cambridge, MA, United States of America

Benjamin Heywood