AI tools designed for healthcare providers, pharmaceutical companies, and clinical teams to improve patient outcomes and research efficiency.
4
Use Cases
6
Tools
4
Companies
Healthcare & Life Sciences Tools
Healthcare AI application by C3.ai for identifying high-risk patients and supporting clinical decision-making.
Legal AI platform by DISCO for document review, case research, and AI-powered litigation support.
AI-powered legal and tax research platform by Thomson Reuters for attorneys and compliance professionals.
Healthcare CRM by Salesforce for managing patient relationships, care coordination, and engagement.
AI clinical documentation assistant integrated with EHR systems
AI clinical assistant by InpharmD that answers drug information queries using evidence-based sources.
Sign up to read complete case studies, access detailed metrics, and unlock all use cases.
Use Cases (4)
UChicago Medicine, a leading academic health system, leveraged Salesforce Data Cloud, Marketing Cloud, and Agentforce to unify patient data and deliver hyper-personalized outreach at scale. In just four months, the team built 100 data-driven marketing segments, achieving a 60% campaign conversion rate and full ROI in under a year. The organization is now deploying Agentforce Voice to autonomously handle millions of nonclinical patient inquiries annually.
InpharmD's AI assistant, Sherlock, leverages Pinecone's vector database to deliver fast, accurate drug information to healthcare professionals. By embedding 30 million medical documents into a RAG pipeline, InpharmD achieved 70% better query accuracy, 95x faster first response times, and 80% cost savings on data storage.
Thomson Reuters integrated Claude via Amazon Bedrock into its AI platform, CoCounsel, to make the expertise of 3,000+ subject matter experts and 150 years of authoritative content accessible to legal and tax professionals. The solution combines Retrieval-Augmented Generation (RAG) architecture with multi-model deployment to deliver comprehensive, accurate professional analysis. Early adopters report dramatic efficiency gains, with some estimating task time cut in half or more.
Intermountain Health deployed Microsoft Dragon Copilot to 2,500+ clinicians, reducing time spent on notes by 27% per appointment and fighting clinician burnout with AI-generated clinical documentation.