>50% of Life Sciences teams report a "significant to very significant challenge" obtaining these 9 insights:

• The complete longitudinal patient journey
• Race and ethnicity at the patient level
• The care setting in which therapy is provided
• PIs/HCPs who can refer patients for clinical trials
• Payer coverage (especially dual-eligible covered populations)
• Patient “drop-offs” (therapy discontinuations)
• Payer cost, including hospital cost (chargemaster) data
• The best time to engage HCPs based on the patient’s journey
• Patient genomic and biomarker data

What’s behind the challenge? 

• Datasets that don’t include both open- and closed-claims data
• A lack of high-fidelity demographic data (representative at the regional/state level) 
• Limited or no access to specialty data sources
• Hurdles to integrating/harmonizing data sources
• Not using technology solutions enhanced with AI/machine learning