MapAI

MapAI is a generative AI analytics assistant designed to democratize insight generation by integrating with the MapLab® Enterprise platform. It leverages natural language processing to allow users to ask questions in plain English and receive rapid responses. This capability is embedded across various workflows, including no-code, low-code, and high-code environments, making it accessible to users of all technical skill levels.

MapAI facilitates decision-making across the enterprise by enabling users to interact with complex healthcare data and generate insights effortlessly. The process begins with users posing questions using natural language prompts to explore areas such as therapeutic fields, patient demographics, and prescribing patterns. Users can then delve deeper by constructing segmented patient cohorts based on diverse disease areas, healthcare provider behaviors, and treatment signals derived from the Healthcare Map®.

The insights generated can be shared among teams to enhance trial design, engagement strategies, and commercial planning. MapAI supports various stages of the product life cycle, including clinical development, where it helps explore disease landscapes and identify key healthcare organizations and providers. In medical affairs, it accelerates strategic initiatives by refining engagement strategies and measuring their impact. Commercial teams can use MapAI to understand market dynamics, segment patients and healthcare providers, and monitor brand performance.

MapAI's NLP-based AI assistant is integrated across workflows, enabling users to harness the power of the Healthcare Map for insights into patients, healthcare providers, healthcare organizations, and payers. Users can conduct deeper analyses using no-code, pre-built template dashboards, leveraging MapAI-generated cohorts and codesets.

Overall, MapAI enhances data analytics and insights capabilities, contributing to improved data accuracy and operational efficiency, as evidenced by user testimonials from top pharmaceutical companies.