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The role of generative AI in transforming patient care

By Elizabeth Johnson, Contributing Writer at Arcadia
Unlocking Big Data Artificial Intelligence Quality Improvement Data Management and Quality

Healthcare organizations, no matter the size, need ways to maximize their resources to deliver high-quality care to their patients. Fortunately, generative AI and other technologies can provide that support. The series Unlocking Big Data, presented by HIMSS and moderated by Dr. Indu Subaiya, explores the importance of delivering trusted data to healthcare decision-makers.

This article covers insights from Episode 4 of the series, which features industry leaders Jake Hochberg, VP of Analytics and Chief Analytics Officer at Arcadia and Luis M. Ahumada, Director of Health Data Science and Analytics at Johns Hopkins All Children’s Hospital.

AI integration for enhanced operations and healthcare efficiency

A December 2023 study by HIMSS Market Insights surveyed more than 100 healthcare leaders, and the results revealed that three-in-five leaders of organizations with less than 2,500 employees say that their organizations are not building or running AI models on their systems. In addition, nearly half (44%) of large firms with 15,000 or more employees have plans to improve their analytics in the next 12 months, compared to just 24% of small firms.

Headshot of Jake Hochberg

Leveraging AI allows us to enhance our resources efficiently. With AI, we can bridge operational gaps and extend our capabilities effectively, regardless of organizational size.

Jake Hochberg
VP of Analytics and Chief Analytics Officer at Arcadia

AI is a critical tool to enhance operations and efficiencies for healthcare organizations, no matter the size. For example, AI can handle many of the administrative tasks essential in healthcare organizations, such as patient scheduling and comprehensive data management. But, the effectiveness of AI requires accurate data to perform those tasks well.

A data analytics platform can deliver a high-quality data asset to AI models in two crucial ways. First, by having your data in an analytics platform and regularly analyzing it in one place ensures it is cleaner. Second, when data is in one centralized place, it is easier to transfer it to models from external sources.

How generative AI enhances patient engagement

Generative AI, and chatbots in particular, provide effective ways for smaller organizations to reach more patients in ways they feel comfortable communicating. In addition, analyzing patient data using AI can help these organizations uncover social determinants of health and resolve issues with transportation or financial problems that prevent them from getting care.


AI can help us with chatbots starting to reach out to patients more directly. Email is archaic; they don’t use it anymore. Calling people; they don’t answer the phone. But chatting they feel really good about.

Luis M. Ahumada
Director of Health Data Science and Analytics at Johns Hopkins All Children’s Hospital

Data analysis can help organizations make better decisions about which facilities to direct their patients to for care and more. Ultimately, they can communicate with and serve more patients without adding more burden to current staff.

Navigating the healthcare landscape with the support of AI

As healthcare organizations confront financial challenges, provider burnout, workforce shortages, and health equity concerns, generative AI and data analytics platforms offer powerful solutions to enhance resource efficiency and expand patient care capabilities.

Watch the full episode to learn more about data analytics and using generative AI tools to maximize resources. Also, you can see more in our demos of Arcadia’s data analytics solutions.