Medidata Solutions, Inc.

Joshua Hartman

Michael Elashoff

David Lee

John Savage

Christopher Bound

Richard Kwock

Glen De Vries

Michelle Marlborough

Valerio Aimale

Pramod Somashekar

Jeevan Pendli

Ron Katriel

Vladimir Tereshkov

Lori Shields

Syed Haider

Pramod Somashaker

A method for determining net complexity of a clinical trial includes determining procedures to be performed during the clinical trial, determining which of the procedures may be routinely performed on clinical trial subjects suffering from the disease that the drug under test is designed to treat, determining the net procedures to be performed for the clinical trial itself, and calculating a complexity score for the net procedures. An apparatus for determining net complexity of a clinical trial is also described and claimed.

Method and apparatus for determining complexity of a clinical trial

A method and system for generating a master clinical database from disparate sources, including public databases, private databases, and data from users, correlating the received data, determining a degree of confidence in and requesting and seeking confirmation of any data matched from the correlated data. The invention may identify key time points and users from whom to seek and receive confirmation of correlated data. The invention may be utilized to create a cross-trial, cross-sponsor, clinical master database that maintains appropriate user, subject and data confidentiality and privacy and which may be utilized to facilitate study design collaboration.

Method and system for generating a master clinical database and uses thereof

A method for linking records (related to an entity) from separate databases may include extracting a first record from a first database as a first vector, extracting a second record from a second database as a second vector, generating first and second sub-vectors for the first and second vectors, where each sub-vector includes quality features from the respective vector, pre-processing the first and second sub-vectors using domain knowledge, calculating a distance assessment classifier based on the first and second sub-vectors, and determining whether the distance represented by the distance assessment classifier is greater than a threshold. If the distance is greater than the threshold, the records may be linked; if not, the method extracts additional records and repeats after generating first and second sub-vectors until the distance is greater than the threshold. A system for linking records is also disclosed.

Method and system for linking heterogeneous data sources

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Conshohocken, PA, United States of America

Joshua Hartman