Objective:

How to leverage data science and technology to develop a patient recruitment application for expediting the patient matches to clinical trials and vice versa

Key Challenges:

• Multiple data silos
• Lack of format standardization in protocol documents
• Lack of a consolidated patient database

Approach:

• Leverage Text mining and  Natural Language Processing (NLP)  to extract protocol information
• Extract inclusion and exclusion criteria from trial repository
• Extract primary and secondary objectives from trial repository
• Extract identified patient data from Electronic Medical Record (EMR) extracts
• Build a central matching engine to match trial criteria with patient characteristics

Benefits:

• Enabled Pharma companies to quickly identify potential patient pools to expedite recruitment timelines
• Enabled physicians to quickly search for and recommend appropriate trials for their patients such that there is a high probability of the patient getting selected in the trial
• Expedited timelines, save costs and increase the access to experimental therapy