Ai-Med: Putting Clinicians First to Improve Patient Outcomes
Ai-Med is committed to educating the healthcare workforce on the latest AI advances and their potential to revolutionize healthcare. We are the first to offer CME, CNE, and FACHE accreditation across all sessions for the entire healthcare workforce.
We believe that the clinician voice is essential to the development and implementation of AI in healthcare.
HOURS OF CME, CNE and FACHE
DAYS OF LEARNING
PLAN YOUR GS24 EXPERIENCE
GS24 SPEAKER PREVIEW
WHO ATTENDS - A SNAP SHOT OF WHO WILL BE THERE
|Clinical Informatics Fellow
|Massachusetts General Hospital
|Resident Physician, Department of Radiology
|Chief of Neuroradiology
|Sunshine Medical Clinic
|KU Health System
|Chief Medical Infomatics Officer
|Chief Medical Information Officer
|Senior Director Solutions Engineering
|Mindful Support Services, Inc.
|Director of Operations
|IN Compass Health
2024 Sponsors and Exhibitors
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Data to delivery
Population Health and Equity
Applications in Clinical Domains
From Data to Delivery - Data science is ushering in a new era of modern medicine. Opening up possibilities to improve outcomes, enhance patient experience and reduce costs.
This track uncovers how data is being leveraged to drive innovation and help change the way clinicians and healthcare business leaders identify, manage and treat patients.
Medical Imaging and Diagnostics - There is a growing portfolio of AI tools that are available in the domain of medical imaging, and more are being developed all the time.
Consider use cases and lessons learned to aid your deployment decisions and benefit from the transformational opportunities that AI can provide.
This track dives deep into the strategic implementation of AI across every facet of healthcare operations. It's more than just testing a few AI tools; it's about embedding AI into the core of your organization to unlock its full potential for transformation.
Patient Experience - AI is revolutionizing healthcare by tailoring care to individuals, predicting patient needs and identifying health risks.
This track dives deep into personalized care with a lens on responsible use and development to ensure well-being, patient equity, human safety and the public interest are paramount
Operational Strategies - AI can transform healthcare, but only with an approach that embeds AI into the entire organization.
This track explores the strategies, education and talent needed to successfully implement AI at scale
Population Health & Equity - AI has the potential to transform our global population health landscape. AI tools are already being put to work to help solve deep, foundational problems in population health.
If done well, AI-optimized approaches can dramatically expand successful health interventions in both human and physical resource-limited settings, improving outcomes all over the world.
Application in Clinical Domains - Most subspecialties have seen sizable growth in the presence of AI.
As the scope increases, providing clinicians with further insights into patient conditions, this track shares the latest applications and use cases across clinical domains