Medidata Solutions, Inc.

Jingshu Liu

Michael Elashoff

Hrishikesh Karvir

Christopher Bound

Philip Beineke

Andrew Howland

Fanyi Zhang

John Savage

Mladen Laudanovic

Pramod Somashekar

Mark Chandler

Patricia Allen

Michael Cestone

Francois Meunier

Jenny Liu

A system for predicting subject enrollment for a study includes a time-to-first-enrollment (TTFE) model and a first-enrollment-to-last-enrollment (FELE) model for each site in the study. The TTFE model includes a Gaussian distribution with a generalized linear mixed effects model solved with maximum likelihood point estimation or with Bayesian regression, and the FELE model includes a negative binomial distribution with a generalized linear mixed effects model solved with maximum likelihood point estimation or with Bayesian regression estimation.

System and method for predicting subject enrollment

An apparatus for performing a remote test of range of motion of a person operating a user device includes a transceiver, a processor, and a display. The transceiver is configured to transmit a link to the user device and to receive motion data from the user device. The processor is configured to calculate in real time, based on the motion data, the position of the user device to enable real-time display to a test provider of the performance of the test and to determine in real time the quality of the test. The display is configured to show in real time a continuous indication of the performance of the test and quality results of the test. A method for performing a remote test of range of motion of a person operating a user device is also described and claimed.

Apparatus and method for remote range-of-motion testing

An apparatus for automatically mapping a verbatim narrative to a term in a medical terminology dictionary includes a natural language processor and a comparator. The natural language processor processes terms from the medical terminology dictionary and from a medical coding decision database to generate a processed database that also includes the original terms from the medical terminology dictionary and the medical coding decision database. The natural language processor also processes the verbatim narrative. The comparator compares the processed verbatim narrative to the terms in the processed database and determines whether the processed verbatim narrative is an exact match to a term in the processed database. The verbatim narrative is mapped to the term in the medical terminology dictionary that corresponds to the term in the processed database that is an exact match. The verbatim narratives may include adverse event narratives, concomitant medication narratives, or other types of narratives. A method for automatically mapping a verbatim narrative to a term in a medical terminology dictionary is also described and claimed.

Apparatus and method for automatically mapping verbatim narratives to terms in a terminology dictionary

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Jingshu Liu