Generative AI in Healthcare & Life Sciences

With generative AI, you can rapidly screen millions of potential drug candidates, simulate their interactions with target proteins, and evaluate their properties. AI agents with natural language interfaces democratize access to these computational tools and datasets, allowing researchers at all technical skill levels to use these resources and accelerate their research.

Generative AI can help streamline clinical trial protocol development by integrating data from various sources and in different formats, suggest appropriate study designs, and incorporate best practices and regulatory guidelines. Generative AI can also help you easily gather insights from clinical data through natural language searches to inform clinical trial protocol generation.

With generative AI, you can generate synthetic defect images to supplement training data used by digital twins, simulate scenarios of different manufacturing conditions, and generate visual predictions of potential future defects.

With generative AI, developing regulated content can be streamlined and accelerated through natural language processing for compliant content generation and expanding your commercial, medical affairs, legal, and regulatory teams’ capabilities with enhanced data analysis, automated compliance checks, and comprehensive content validation.

Generative AI based self-service analytics solution empowers life sciences enterprise users to query real world evidence with natural language, which the tool converts to SQL queries. This allows users to quickly find answers to research questions, identify the most relevant information, draw insights, and discover trends.

With generative AI, sales teams can input free text and flag risks by applying various rules and concepts and surface high-risk classifications to the sellers, managers, or a third-party for validation. The recurring flagging and coaching of potential risks improve compliance, field training, and supplements sales manager efforts.

With generative AI, you can automate clinician tasks like referral letter generation, comprehensive patient history summarization, patient inbox draft generation, and medical coding automation all integrated into your EHR system.

Generative AI can improve image quality, detect anomalies and patterns, generate synthetic images for training and data augmentation, and provide decision support by highlighting areas of concern, suggesting potential diagnoses, and offering explainable insights into identified anomalies.

Generative AI can transcribe clinician-patient interactions, extract key details, and generate comprehensive notes integrated into EHR systems, which helps improve documentation efficiency and reduce administrative burden.

With generative AI, you can boost call center productivity by summarizing patient information, generating call summaries, and extracting key follow-up actions.

With generative AI, you can efficiently analyze documents and medial records related to prior authorization requests and claims to generate summaries, identify missing documentation, match claims to prior authorizations, and provide evidence-based recommendations for reviewers.

With generative AI, you can proactively monitor compliance requirements and automate critical reporting processes, such as HEDIS report generation.