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Navya Network, Inc.

Naresh Ramarajan

Gitika Srivastava

The present solution covers identifying a recommended treatment for a patient based on records of similar patients, wherein the similarities are non-obvious and non-linear. The solution generates a similarity map that minimizes the variance of elements records among a curated group of patients, and this similarity map is used to find the patients who are most similar to an untreated patient.

Experience engine-method and apparatus of learning from similar patients

An apparatus and method of retrieving relevant documents having medical research evidence receives a request to access a plurality of documents in a database stored in a memory device. Each of the plurality of documents contains information relating to medical research evidence and has an associated relational expression. The method then causes display of a user interface with a plurality of fields (a set of these fields are selectable, prescribed terms), and receives a relational expression based on information received from the user interface. The received relational expression includes at least one of the selectable, prescribed terms in the user interface. Next, the method compares the received relational expression with the relational expressions associated with at least one of the plurality of documents, and causes the display of information relating to a set of documents in the database as a function of the comparison of relational expressions.

Medical research retrieval engine

A system and method generate a report to help decide among a plurality of treatment options for a medical condition. The system and method receive patient information and generate a plurality of potential treatment options for the medical condition. The system and method also receive the patient's preference(s) for potential treatment outcomes of the treatment options, used to produce a preference value. The system and method also analyze indexed study data relating to the plurality of treatment options to produce, based on the analysis, a study score for each of the treatment options. For each treatment option, the system and method produce a treatment score based on at least the preference value and the study score, thus permitting generation of a report listing the treatment options and a) the treatment scores or b) the information derived from the treatment scores.

Treatment related quantitative decision engine

A system and method may generate a report to help decide among a plurality of treatment options for a medical condition. The system and method receive patient information and to generate a plurality of potential treatment options for the medical condition. The system and method also receive the patient's preference(s) for potential treatment outcomes of the treatment options, used to produce a preference value. The system and method also analyze indexed study data relating to the plurality of treatment options to produce based on the analysis a study score for each of the treatment options. For each treatment option, the system and method produce a treatment score based on at least the preference value and the study score, thus permitting generation of a report listing the treatment options and a) the treatment scores or b) the information derived from the treatment scores.

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Tujunga, CA, United States of America

Naresh Ramarajan