Can AI Reduce Healthcare Costs Without Sacrificing Trust?
Featured Speakers
Mr.Jose Garcia
Moderator
Mr.Ruban Kanapathippillai
Moderator
Mr.Miller Rajendran
Speaker
Ms.Melissa Fors Shackelfor
Speaker
About this Webinar
The 17th edition of SenzMate’s ConnectingTheFuture Webinar Series dives into how AI is being applied to reduce operational costs, improve efficiency, and promote health equity, while maintaining privacy, consent, and patient safety.
As AI-driven triage, predictive care, and remote diagnostics advance, this session explores where AI is delivering real results, where it falls short, and what responsible, trusted healthcare innovation should look like.
Join experts and innovators as they discuss practical solutions for cost reduction, faster care pathways, equitable access, and building trust in AI-powered healthcare.
Key Points
- Real-world applications of AI in reducing healthcare costs
- Improving efficiency and care pathways with AI
- Promoting equitable access to healthcare through AI
- Building trust between AI systems, patients, and providers
- Addressing clinician burnout with AI-powered solutions
- Evaluating where AI delivers results and where it falls short
- Future trends in responsible, trusted AI-powered healthcare
Previous Webinars
Catch up on our past sessions and insights
Healthcare AI Leadership: Human Systems
The future of healthcare isn't just about smarter algorithms - it's about smarter leadership. SenzMate & UKDHC are proud to co-create Healthcare AI Leadership: Human Systems — a webinar bringing together some of the brightest minds in digital health.
Health Data & New Models of Care: Use Cases
What if the biggest barrier to better healthcare isn’t a lack of data—but the inability to turn that data into meaningful action? Across many healthcare organizations, fragmented systems and inefficient workflows make it difficult to transform health data into timely clinical insights.
How to Align Teams on Health AI Implementations?
What if the biggest barrier to successful healthcare AI isn’t technology—but team alignment? From clinicians and data scientists to IT leaders and executives, misaligned priorities and siloed communication often prevent AI initiatives from delivering real impact.
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