Healthcare
In a challenging market with rising premiums and changing coverage rules, companies are focusing on customer experiences. AI is already starting to play a pivotal role.
Personalized member engagement:
AI helps payers analyze member data to create personalized communications and care recommendations, making members feel valued.
Streamlining processes:
AI automates tasks (claims processing, prior authorization, etc.), which reduces errors and speeds up processes, fostering trust by ensuring accurate bills and timely payments.
Enhanced customer journey analytics:
AI-driven analytics help payers track member and services interactions, identify pain points, and make data-driven improvements, boosting satisfaction and retention
Improving health outcomes:
AI supports value-based care so payers can focus on preventive care and chronic disease management. AI integrates multi-source data to provide insights that encourage member wellness engagement, improving health outcomes and reducing costs
Operational efficiency:
AI streamlines workflows, reducing administrative tasks so organizations can focus on strategic initiatives that enhance patient outcomes
Life sciences
The life sciences industry is rapidly evolving with AI, driving improvements in regulatory processes, manufacturing, compliance, and more.
Precision medicine:
Genomic knowledge personalizes treatments for individuals
Drug discovery and development:
AI and biomedical knowledge graphs expedite target identification, drug discovery, and drug repurposing, reducing time-to-market.
Clinical trials acceleration:
AI and GenAI accelerate clinical trials in areas including design, operations, and reporting
Regulatory intelligence:
AI improves regulatory query response time by over 70%
Life sciences manufacturing processes:
AI improves processes with digital manufacturing 4.0 assets (Digital Twins, Process Twins, Predictive Maintenance, digital access to manuals, eOJTs, etc.)
Use of AI with RWE:
Usage is critical for commercial success of a drug/device in the market (HCP Engagement Intelligence, sample management with computer visions, field force management, etc.).
Digital process workers for adherence and compliance:
Consistent adherence to SOPs, GxP procedures, and cybersecurity policies reduces risks to patients.
Data analytics and predictive modeling:
Unravels insights from large-scale datasets
