Ensemble's Jim Gaffney says the company’s AI tools for clinical reasoning, variance analysis and denial prevention can help health systems drive sustainable financial outcomes and enhance the patient experience.
Hanwha Vision's Chris Lennon discusses how the company's AI-powered video systems can help detect aggressive patient behavior, reduce workflow bottlenecks and enable virtual care so health systems can optimize staffing and safety.
Dr. Kate Eisenberg, Dyna AI senior medical director at EBSCO Clinical Decisions, discusses how responsible generative AI can enhance the accessibility and application of evidence at the point of care to support clinical decisions.
Trend Micro's Fernando Cardoso recommends cybersecurity best practices for healthcare organizations pursuing AI adoption, including remediating 'shadow AI' and other data blind spots.
As hospital margins shrink to about 2%, Michael Gao, president at Smarter Technologies, says the company's AI can find and close documentation or coding gaps to prevent revenue losses.
Tan Bin Ru, president of Enterprise Digital at ST Engineering, discusses the company's plan to strengthen Dubai hospitals' cybersecurity and data analytics capabilities with the technologies it uses in defence work.
Don Woodlock with InterSystems stresses that AI must be linked to interoperable systems and patient data to deliver real impact. Aligning an organization's AI goals with interoperability mandates is key to practical AI deployment.
Nabla CEO Alex LeBrun says the company's AI tool, which blends ambient AI with dictation, integrates with multiple EHRs to prepare documentation and can perform other intelligent actions according to clinicians' needs.
Zoom Communications' Jim Martin says the company's AI-first platform can streamline clinical and call center workflows, including generating visit notes to free clinicians' time so they can focus on patient interactions.
According to Lenovo's Dr. Justin Collier, involving clinicians in the decision-making process and starting with small, high-impact projects such as ambient listening and documentation can help health systems succeed with AI.
Eleni Dimokidis, head of healthcare technology at AWS Asia-Pacific and Japan, shares tools that can make AI as accurate and reliable as possible.
Oracle Health APAC Chief Clinical Information Officer Michael Draheim emphasises clinician involvement in making a robust clinical information system.
