Q&A: Data analytics company Arcadia reflects on HIMSS25
At HIMSS25, healthcare data analytics company Arcadia showcased its CareJourney acquisition and introduced AI Factory, a predictive analytics platform.
Luke Hansen, chief medical officer at Arcadia, spoke with MobiHealthNews post-conference about the expanding role of generative AI in healthcare, emphasizing its impact on value-based care, clinical decision-making and operational efficiency. He also shared Arcadia’s plans for 2025.
MobiHealthNews: How has the data analytics space changed with the rise of generative AI?
Luke Hansen: The rise of generative AI in data analytics has enhanced the breadth and depth of insights available to healthcare organizations, particularly in value-based care. Much of the conversation about AI in healthcare up until recently has focused on improving clinical efficiency. However, fully deployed AI-driven tool sets also provide sophisticated functionality to support providers and payers in optimizing care and operations before and after a clinical encounter.
These opportunities can be considered in three distinct areas:
1. AI-enabling a high-level understanding of performance in upstream contracting and network development and helping healthcare organizations that engage in contract development outline where operational focus can yield the most return across diverse provider or health plan partners. As part of network development, AI-powered modeling allows providers to optimize their value-based care strategies, ensuring better alignment between cost, quality and patient outcomes.
2. Within a clinical encounter, AI has been heralded as a game changer for documentation and automation. However, an even greater and transformative clinical application of AI will be real-time diagnostic and therapeutic decision support, which will likely improve accuracy, reduce misdiagnosis and avoidable utilization.
3. Downstream and outside of a clinical encounter, the industry is moving beyond conventional clinical risk adjustment – where predictive models primarily support reimbursement – to a broader understanding of health and whole-person care. Generative AI is ushering in a more comprehensive view of risk that enables more personalized care, helping to uncover social and behavioral factors influencing patient well-being and equipping providers with actionable insights at the point of care.
MHN: What did you and Arcadia get out of HIMSS25, and what were some highlights of the event for the company?
Hansen: HIMSS25 provided a platform to showcase Arcadia’s latest innovations and reinforce our commitment to transforming healthcare through data-driven insights. One of the biggest highlights was demonstrating how we are delivering on the vision behind our acquisition of CareJourney with Arcadia’s unique ability to combine third-party benchmarks with customers’ own first-party data to create “complete data.”
Another key moment at HIMSS25 was the launch of Arcadia’s AI Factory, an AI development platform that enables healthcare analysts to build and train custom models that predict patient needs. For example, organizations can use AI Factory to identify patients with chronic kidney disease who may begin dialysis without proper nephrology care – allowing for early intervention and improved care coordination.
MHN: What is in store for Arcadia in 2025?
Hansen: In 2025, Arcadia is focused on accelerating healthcare transformation through an AI-augmented workforce, improved interoperability and personalized patient engagement.
We believe AI should serve as an enterprise co-pilot for healthcare, helping every team member – from clinicians to administrators to analysts – work more efficiently. Similar to the familiar goal of ensuring clinicians practice at “top of license,” data and analytics teams should now be working more effectively with the support of AI-powered analytics.
Our focus on supporting personalized, compassionate care is advanced through our newly announced partnership with League. We are bringing AI-driven personalization to healthcare organizations, helping proactively engage patients and improve long-term health behaviors.
Additionally, interoperability remains foundational to AI and data analytics, which start with access to data. Without a seamless exchange of information, the insights needed to drive action – and improve both clinical and financial outcomes – are hamstrung. In 2025, Arcadia will continue to provide healthcare organizations with scalable data solutions that centralize all relevant information in one place.
