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Operationalizing AI: From Technology to Treatment

Global Summit 2024 Keynote

In this panel discussion we explore the use of Artificial Intelligence (AI), specifically Generative AI (GenAI), in the healthcare sector. The panelists discuss their experiences with AI in their respective fields. Additionally, the panelists discuss the potential of AI in healthcare, the need for regulations and guardrails to ensure the safe and effective use of AI, the challenges in AI adoption in healthcare organizations, and the future of AI in healthcare.

Key Points:

  • AI is not about cost reduction, but enhancing human services and elevating the human experience
  • The challenge of balancing AI's potential with the risks it poses
  • The potential for AI to increase the reach of healthcare services

Panelists:

  • Don Woodlock, Head of Healthcare Solutions, InterSystems
  • CT Lin, MD, CMIO, UCHealth-Colorado
  • Yaa Kumah-Crystal, MD, MPH, MS, Associate Professor of Biomedical Informatics and Pediatric Endocrinology, Vanderbilt University
  • Laurent Rotival, CTO, Cambia Health Solutions
  • Micky Tripathi, National Coordinator for Health Information Technology, and Affiliate, Berkman Klein Center for Internet & Society, Harvard University

Další Zdroje, Které By Se Vám Mohly Líbit

srp 08, 2025
EMC Healthcare
Mr Jusup Halimi, CEO, and Dr Bella Desra Andae, Medical Informatics Specialist, at EMC Healthcare describe their EHR journey with InterSystems – implementing a unified EHR across eight hospitals in 18 months to moving to an AI-powered EHR system.
srp 06, 2025
HIMSS Market Insights Infographic
One Patient, One Record Healthcare organizations rely on a wide range of systems to deliver care — from EHRs and pharmacy software to scheduling tools and billing platforms. But when each system stores patient data separately, inconsistencies, duplicate records and identity challenges can disrupt care and limit AI implementation, workflow optimization and data exchange. Recent HIMSS Market Insights research confirms that healthcare leaders recognize the strategic importance of accurate patient identity data, yet persistent issues continue to undermine progress.
čvc 25, 2025
KLAS Research - Healthcare IT Insights
Successful HIE Deployments Outside the US
čvc 23, 2025
Frost & Sullivan
With its strong overall performance, InterSystems earns Frost & Sullivan’s 2025 Middle East Enabling Technology Leadership Recognition in the EHR of the future industry.
čvc 23, 2025
IDC Market Perspective
In this IDC Market Perspective report, IDC emphasizes that AI is no longer an optional feature but a foundational component of healthcare technology, deeply embedded in InterSystems products and strategy.
čvc 02, 2025
Healthcare Supply Chain
Supply chain visibility is crucial for improved patient care and purchasing decisions. InterSystems Supply Chain Orchestrator provides an AI-enabled supply chain decision intelligence platform to predict disruptions before they occur and optimally handle them when they do. It empowers you to improve patient care with an optimized end-to-end healthcare supply chain.
čvn 27, 2025
UC Christus, Chile
Dr. Sabastian Valderrama, Medical Director for Innovation and Expansion at UC Christus, Chile describes the clinician experience and reduced clinical burden with InterSystems IntelliCare.
čvn 27, 2025
Mediclinic Middle East
Augustine Amusu, Chief Information Officer, Mediclinic Middle East, United Arab Emirates discusses the promise of generative and ambient AI, and the benefit to for strengthened clinician and patient relationship.
čvn 13, 2025
InterSystems IRIS for Health™ as an Independent Data Repository
A clinical data repository (CDR) enables the processing of healthcare data outside of the electronic medical record (EMR) system. Download the white paper to learn more.
kvě 29, 2025
HIMSS Market Insights Study
A recent HIMSS Market Insights study reveals that healthcare leaders understand the strategic need for patient identity matching, but struggles remain, particularly with data interoperability, duplicate records and inconsistent or missing data. They acknowledge that challenges must be overcome if they are to accomplish broader initiatives, especially around artificial intelligence (AI) implementation, workflow optimization and data exchange.

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