Expediting Patient Recruitment for Clinical Trials (In Clinical Trials)
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 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 EMR extracts
- Build a central matching engine to match trial criteria with patient characteristics
Benefits:
- Enable Pharma companies to quickly identify potential patient pools to expedite recruitment timelines
- Enable 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
- Expedite timelines, save costs and increase the access to experimental therapy
