From Forecasts to Field Impact: How Generative AI Supercharges Predictive Analytics for Pharmaceutical Medical & Sales Representatives
Year: 2025
Type: article
Abstract: Medical representatives are vital in bridging pharmaceutical innovation and clinical practice, but their effectiveness is often limited by time-consuming preparation, regulatory constraints, and the complexity of tailoring interactions to diverse healthcare providers (HCPs). Predictive analytics has historically supported reps with forecasts and territory plans; today, generative artificial intelligence (GenAI) amplifies this support by delivering actionable, real-time insights. This paper explores how GenAI enhances daily workflows for field and medical reps—from pre-call preparation to in-call engagement and post-call follow-up—using real-world examples and emerging case studies. We argue that GenAI transforms forecasts into field impact, shifting reps from information deliverers to strategic, insight-driven advisors.
Author: Imran Banat
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W4414524004
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