InterSystems, a creative data technology provider, delivers a unified foundation for next-generation applications for customers in more than 80 countries in the healthcare, finance, and manufacturing and supply chain sectors. Our approach revolves around a cloud-first data platform that integrates high-performance database management, smart data services, interoperability, and analytics capabilities for data-driven businesses. Throughout the last 46 years, we have evolved our solutions and fueled success for customers in healthcare, manufacturing, financial services, and government: helping businesses unlock the potential of their data and make informed decisions that drive success. For 46 years, InterSystems has delivered the healthcare data platform for the world’s most proven electronic medical record systems used by health systems and governments. Based in Cambridge, MA, InterSystems has a global presence, with 39 offices in 28 countries worldwide.
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In this edition of the "Code to Care" series by Don Woodlock from InterSystems, the video explores the transformative role of Artificial Intelligence (AI) and Machine Learning (ML) in managing the increasing volume of patient portal messages in healthcare systems. The discussion highlights how AI enhances patient communication by implementing urgency tagging to prioritize critical messages and by suggesting automated responses to streamline interactions. Additionally, AI integration automates healthcare workflows, significantly boosting efficiency and responsiveness. This insightful presentation underscores the crucial advantages of AI and ML in improving patient care and operational efficiency within healthcare providers.

How to use AI For Patient Portals

In the inaugural video of the series "Code to Care: AI/ML Revolution Unveiled," Don Woodlock, head of healthcare solutions at InterSystems, provides a succinct introduction to the diverse realms of artificial intelligence. The video begins by clarifying the distinctions between AI, ML, Generative AI, and Large Language Models (LLMs), emphasizing the importance of understanding the differences among these categories, such as between Generative AI and Tabular AI. As the discussion unfolds, Woodlock delves into the core concepts of AI and ML, offering a thorough exploration of Generative AI and LLMs. This segment equips viewers with a robust understanding of each term's significance within the technological landscape. Through key examples, the video illustrates the practical applications and subtleties of these technologies, enhancing viewer comprehension with real-world relevance. Additionally, it addresses common confusions and misconceptions, particularly highlighting the distinctions between Generative AI and LLMs. Concluding with a call for viewer interaction, the video sets the stage for addressing emerging questions and future topics in AI and ML, positioning itself as an essential resource for anyone eager to expand their knowledge of these pivotal technologies.

Different Type of AI

InterSystems Global Summit 2024 Keynote
In this keynote presentation, CT Lin, MD, discusses the application of AI in healthcare, specifically focusing on the use of generative AI in predicting sepsis and responding to patient messages. Dr. Lin also discusses the concept of exponential growth in technology and its implications, and the importance of teamwork in effectively implementing AI solutions.

Practical Applications of Predictions and Generative AI at a Health System

InterSystems Global Summit 2024 Keynote
A discussion of the potential benefits and risks of artificial intelligence (AI) in healthcare, with a particular focus on health justice. Medell Briggs - Malonson, MD, discusses how AI could be used to advance healthcare and achieve health justice, provided the technology is built responsibly and benefits all people. The session also touches on the role of AI in clinical and administrative uses, the potential risks, including the amplification of biases and the threat of cybersecurity attacks, and the need for regulation and innovation.

Human Centered AI: Shaping a Just and Ethical Future in Health Technology

InterSystems Global Summit 2024 Keynote
Atul Butte, MD, PhD discusses the importance of utilizing the vast amounts of data available in the medical field to improve patient care. Additionally, he reviews his work in mapping mortality and morbidity in California and how AI can be used to predict future health outcomes.

700 Trillion Points of Data for AI in Precision Medicine

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