Ingenix, Inc.

Optuminsight, Inc.

Alexander M Walker

A drug registry database is administered by storing healthcare claims for a plurality of patients and providing a user interface that displays new drug/comparator drug pairings in which a new drug includes a threshold number of healthcare claims and a comparator drug with substantially similar medical indications as the new drug. Based on receiving a new drug/comparator drug pairing selection, an analysis engine identifies from healthcare claims a statistically matched first of patients having used the new drug and second group of patients having used the comparator drug; identifies a comparative occurrence of existing medical conditions or new medical conditions in the statistically matched groups; and calculates a probability value indicating a relative likelihood that a patient taking the new drug will have a medical condition from the new or existing medical conditions in comparison to a likelihood that a patient taking the comparator drug will have the medical condition.

System and method for early identification of safety concerns of new drugs

A computer-implemented system and method for administering a drug registry database generates a display of a plurality of new drug/comparator drug pairings, wherein each new drug is added to the database when a threshold number of healthcare claims for the new drug have been received. Upon receiving a selection of a new drug/comparator drug pairing, and filter parameters input by a user, an analysis engine searches the healthcare claims stored in the database to identify a first and second group of patients satisfying the filter parameters input by the user; wherein the first group includes patients with claim data indicating use of the new drug and the second group includes patients with claim data indicating use of the comparator drug. The analysis engine further identifies a comparative occurrence of one or more existing medical conditions or new medical conditions in the first and second groups of patients and calculates a probability value indicating a relative likelihood that a patient taking the new drug will have each of the one or more new or existing medical conditions in comparison to a likelihood that a patient taking the comparator drug will have each of the one or more new or existing medical conditions. A user interface displays each new or existing medical condition and the probability value for the new drug and the comparator drug in accordance with one or more report parameters entered by the user.

Method and system for identifying safety concerns regarding a new drug. In one example, a database of healthcare claims is utilized and the method may include identifying from the database a first group of patients that have received the drug; extracting one or more medical events that the first group of patients have experienced; identifying a second group of patients that have received a comparator drug; extracting one or more medical events that the second group of patients have experienced; and comparing the one or more medical events of the first group to the one or more medical events of the second group to determine one or more common occurrences therebetween. The method may also include computing a probability value for each of the one or more common occurrences. In this way, embodiments of the present invention may be used to identify and quantify the probability that certain medical events will occur to patients taking the new drug.

A system and method for identifying safety concerns regarding a drug identify a first group of patients that have received the drug from a database of healthcare claims and extract one or more medical events that the first group of patients have experienced from the database. The system and method also identify a second group of patients that have received a comparator drug in the database and extract one or more medical events that the second group of patients have experienced. The medical events of the first group are compared to the medical events of the second group to determine at least one common occurrence therebetween. The common occurrence(s) is then filtered based upon one or more user defined outcomes, each including at least one diagnosis, procedure or therapeutic classification; non-medical criteria; and/or patient laboratory test data.

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Concord, MA, United States of America

Alexander M Walker