Clinical bioinformatics database driven pharmaceutical system

Abstract

Computer-based technologies and methods of human clinical data capture and analysis for identifying and recruiting patients for pharmaceutical and diagnostic product testing. These methods include acquiring product data and clinical data and comparing product data to clinical data in real time in order to identify suitable patients for product testing. Methods also provide for the generation of an alert message identifying suitable patients, preferably through the use of artificial intelligence or neural network techniques. Methods also preferably include the use of wireless devices to collect the patient data with a graphical user interface suitable of displaying the alert message and receiving additional questions for use in querying the patients for collection of data, the encryption of clinical data during transmission and storage, and conversion of clinical data to a format consistent with data mining techniques.

Dependencies are inferred from the claim text.