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  • InterSystems is committed to promoting responsible AI practices and implementing necessary and appropriate safeguards for AI use. InterSystems promotes transparency and accountability with respect to the use of AI by following our principles set forth at https://www.intersystems.com/about-us/trust-and-responsibility-with-ai/ (AI Principles) as well as all applicable laws, rules, and regulations. InterSystems expects its business partners and other persons engaging with us to be committed to Responsible AI Practices and adhere to all applicable laws, rules and regulations. We do not permit third party AI or ML tools to be used on certain software, including HealthShare, TrakCare, and IntelliCare, our product and service documentation or other identified offerings without our prior consent.
  • Providing time-sensitive care for instances tracked by HEDIS is critical, particularly for high-risk members at vulnerable points in their care journey. This session explores how Healthfirst, a 4.5 Star provider-sponsored plan, collaborated with InterSystems and its network providers to leverage near real-time visit data for automating the identification of qualifying events for time-sensitive HEDIS measures and alerting treating providers. Attendees will learn how interoperability enables timely care and improves quality.
  • CMS Rule 0057 mandates plan investment in IT to enable electronic prior authorization (ePA). With so many competing priorities, many IT and UM departments must choose between “check-the-box” compliance and strategic, interoperable solutions.
  • 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.
  • Healthcare organizations are embarking on digital health transformation journeys that span the implementation of artificial intelligence, workflow automation and interoperability to support the delivery of high-quality care in a cost-efficient manner. According to recent HIMSS Market Insights research, survey respondents identified inaccurate patient identity matching as negatively impacting their healthcare organizations and impeding their ability to meet their strategic objectives. While there are myriad challenges to addressing identity resolution, the development of a robust patient identity matching strategy will benefit healthcare organizations in multiple areas, such as decreasing medical risks, maintaining compliance, and improving patient experience and operational efficiencies.
  • A Celent Research Survey of Over 100 Retail Banking Executives in North America and the United Kingdom Decision Intelligence in Banking
  • Join Dr. Phil Budden from MIT's Sloan School of Management as he highlights the InterSystems Impact Awards at READY2025. Discover how these awards celebrate customers driving significant change in healthcare, financial services, and supply chain. Dr. Budden emphasizes that true innovation lies in matching problems with viable solutions and underscores the crucial role of distributed leadership in fostering a culture of continuous improvement across all organizational levels. Learn how focusing on both early-stage potential and quantifiable impact is key to successful innovation.
  • Sol Rashidi's keynote unpacks why many AI initiatives fail, emphasizing that successful adoption hinges on more than just technology. Discover the critical importance of human discernment, strategic workforce preparation, and robust data governance to truly harness AI's power to augment, automate, and anticipate, rather than simply replace. Learn practical insights to bridge the gap between AI's promise and its real-world impact.