Verifying inadequate response to past therapies depends on subjective patient recall of fluctuating mood states and fragmented medication histories across providers. Sites spend disproportionate time reconstructing dosing timelines to confirm treatment-resistant status, and the resulting late screen failures, after significant investment, demoralize coordinators and suppress site motivation.
Lindus queries documented antidepressant histories, dose titration patterns, and medication sequences from 40M+ EHR records to verify prior treatment failure on clinical records rather than patient recall. AI-assisted screening automates eligibility matching at scale, delivering history-validated candidates and decoupling site selection from in-house record completeness.
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