Capturing customer data from continuity of care documents (CCDs) is crucial for prior authorization approval, but is typically a time-consuming, manual process that distracts from patient care and inundates healthcare providers with ever more paperwork. The current prior authorization process for CCDs is tedious, time-consuming, and inefficient. But automating this process – which involves several…

The clinical team for existing products at “ABC Pharma,” a top 20 pharmaceutical manufacturer, needed an automated solution for processing large volumes of medical literature across multiple therapeutic areas. Their internal development efforts had proved costly and unsuccessful. Requiring a comprehensive platform that could handle diverse literature types, support Health Authority inquiries, process content across ten…

A leading biotech company, faced critical challenges in their regulatory submission process. They needed to conduct a comprehensive clinical literature review and create a Clinical Evaluation Report (CER) with limited time and resources. The biotech company turned to CapeStart, who provided a hybrid approach combining expert analysis with their GenAI-powered MadeAi™ platform for literature review. Check-out…

CapeStart's Literature Review Research Report examines how life sciences professionals approach literature reviews, exploring their methodologies, challenges, and resource allocation between internal and external teams. The study investigates key aspects including goals, scope, complexity management, and success metrics, while also analyzing information sources and professional associations, along with demographic data from survey respondents.

CapeStart's Life Science AI Research Report investigates how professionals in the life sciences sector view and utilize artificial intelligence technologies in their work. The study explores current AI implementations and capabilities, while examining organizational goals and targeted impact areas for AI integration. The report analyzes key challenges and obstacles teams face in AI adoption, along…

CapeStart helped a major multinational digital health company develop a multi-omic, AI-powered classifier to predict patient responses to checkpoint inhibitors. Checkpoint inhibitors are a class of immuno-oncology agents often used to treat solid tumors. The client needed a reliable, knowledgeable, experienced and affordable partner to analyze and label a large batch of de-identified multislice CT…