Snowflake Research Reveals 85% of Healthcare Leaders View Interoperability as Foundational to Scaling AI
MWN-AI** Summary
A recent study conducted by Snowflake, in collaboration with Hakkoda, highlights a significant shift in the healthcare sector regarding data interoperability as a strategic foundation for scaling artificial intelligence (AI). The research reveals that 85% of healthcare leaders now prioritize improving data sharing and interoperability compared to two years ago, recognizing that efficient AI deployment relies on dismantling data silos across disparate systems.
The demand for interoperability is underscored by the fact that 77% of organizations are investing or planning to invest in generative or agentic AI technologies, focusing on enhancing administrative workflows, clinical documentation, and revenue cycle operations. These investments aim to alleviate administrative burdens, allowing clinicians to concentrate more on patient care. Leaders expect AI to yield notable time savings—between 10% and 50%—and moderate cost reductions as initiatives evolve.
The findings indicate that operational efficiency, decision-making enhancement, and patient experience improvement drive the increased emphasis on interoperability. Notably, healthcare organizations now view interoperability as a strategic element rather than merely a compliance requirement. In 2023, the focus was primarily on improving patient care, but the current priority has shifted more toward operational effectiveness.
Experts from Snowflake and Hakkoda emphasize that organizations that confront data fragmentation can leverage interoperability to extract tangible benefits from AI investments. This transformation is essential for achieving measurable efficiency gains, financial stability, and improved patient outcomes. As AI becomes more integrated into critical healthcare processes, leaders are increasingly focusing on the essential role of connected data in supporting scalable AI initiatives.
MWN-AI** Analysis
The recent Snowflake research highlights a critical juncture in the adoption of AI technologies within the healthcare sector. With 85% of healthcare leaders emphasizing interoperability as crucial for scaling AI, the market outlook for companies like Snowflake (NYSE: SNOW) becomes particularly compelling.
Investments in generative AI technologies are on the rise, with 77% of organizations actively pursuing high-impact applications, such as administrative workflow automation and revenue cycle operations. This shift underscores the urgent need for operational efficiency amid growing administrative burdens. The expectation of measurable benefits, including time savings between 10-50%, signals that stakeholders are increasingly evaluating technologies based on their operational impact rather than purely on compliance or novelty.
For investors, this trend presents strategic opportunities. Companies that provide solutions to enhance interoperability will likely see significant demand, as breaking down data silos becomes essential for maximizing AI investments. Snowflake's AI Data Cloud positions it as a key player in facilitating secure data sharing across various healthcare systems, aligning with the industry's growing focus on integrating clinical, administrative, and financial data.
Moreover, as healthcare organizations prioritize operational efficiency, leveraging AI as a tool to streamline workflows can lead to enhanced patient care and improved financial outcomes. Companies that tackle data fragmentation effectively will stand to benefit, translating AI investments into substantial returns.
As the healthcare landscape evolves, investors should monitor companies that excel in providing interoperable solutions and practical applications of AI. Snowflake, with its robust data management capabilities and a strong focus on AI transformation, remains well-positioned for continued growth and success in this burgeoning sector.
**MWN-AI Summary and Analysis is based on asking OpenAI to summarize and analyze this news release.
Findings underscore a turning point in AI adoption in healthcare, where achieving measurable efficiency and cost savings with AI depends on breaking down data silos across fragmented systems
- 85% of healthcare and public health agency leaders report that improving data sharing and interoperability is a higher priority today than it was two years ago as organizations scale AI and pursue broader operational and value-based care goals
- 77% of organizations have already invested or plan to invest in generative or agentic AI technologies, prioritizing high-impact use cases such as administrative workflow automation, clinical documentation, and revenue cycle operations
- More than half of respondents expect AI to deliver time savings of 10-50%, while 42% anticipate moderate cost savings as initiatives mature
Snowflake (NYSE: SNOW), the AI Data Cloud company, in collaboration with Hakkoda , an IBM company, today released new research revealing that as healthcare organizations and public health agencies scale AI beyond pilot programs, improving interoperability is becoming foundational to broader AI deployment. With 77% of organizations investing in generative or agentic AI, 85% of leaders report that improving interoperability — the ability to securely share and use data across clinical, administrative, and financial systems — has become a higher priority over the past two years as they work to scale AI.
This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260310866148/en/
??“Across healthcare, AI is moving into operational environments and leaders are holding it to a higher standard,” said Jesse Cugliotta, Global Head of Healthcare and Life Sciences, Snowflake. “Organizations want measurable efficiency gains, workforce relief, and better patient outcomes. That only happens when clinical, financial, and operational data can move securely and seamlessly across systems. Interoperability is no longer a compliance checkbox — it’s the engine that makes scalable AI possible.”
AI Investment Expands Across Core Healthcare Workflows
AI investment is accelerating across healthcare organizations, with 77% of respondents reporting they have already invested or plan to invest in generative or agentic AI technologies. Organizations are prioritizing high-impact use cases such as administrative workflow automation (60%), clinical documentation and scribing (50%), and revenue cycle operations, including billing and prior authorization (47%).
These priorities reflect the mounting pressure on healthcare organizations to reduce administrative burdens and support clinicians, enabling more time for direct patient care. By automating these workflows, organizations aim to increase revenue cycle efficiency amid persistent workforce constraints and reimbursement complexity. As a result, AI investment is shifting toward practical applications shaped by internal priorities.
Interoperability Becomes Critical as AI Scales
As AI initiatives expand, 85% of healthcare leaders report that improving data sharing and interoperability has become a higher priority compared to two years ago. Operational efficiency and decision making (74%), improving the patient experience (71%), and helping drive value-based care (64%) were cited as the primary drivers behind increased focus on interoperability.
This shift reflects a broader change in how healthcare organizations view interoperability — not only as a compliance requirement but as a strategic enabler of scalable AI initiatives. Compared to Snowflake’s 2023 survey , where improving patient care and coordination ranked as the top driver, operational efficiency and decision-making now lead as primary motivators for interoperability. While internal data sharing is already widespread at 82%, leaders acknowledge that connecting systems across departments and partners will be critical to expanding AI across the organization.
Leaders Expect Measurable Returns
Healthcare organizations increasingly expect AI investments to deliver quantifiable results. Fifty-two percent of respondents anticipate time savings between 10% and 50%, while 42% expect moderate cost savings as AI initiatives mature.
These findings reflect a shift toward evaluating AI through a more operational lens, with leaders placing greater emphasis on measurable productivity and efficiency gains. Respondents also cite mature data governance as an important contributor to AI effectiveness, underscoring the role of trusted, connected data in supporting scalable AI.
“AI is rapidly becoming embedded in mission-critical healthcare workflows,” said Chris Puuri, Global Head of Healthcare and Life Sciences at Hakkoda, an IBM Company. “The organizations that will see returns are the ones tackling data fragmentation head-on and building interoperable foundations. That’s what turns AI investment into measurable efficiency, financial strength, and better patient outcomes.”
Learn More:
- Read the full research report, “ The Future of AI + Interoperability in Healthcare Report ,” and learn more about the findings in this blog post .
- Explore Snowflake’s solutions for healthcare organizations within the AI Data Cloud for Healthcare & Life Sciences .
- Stay on top of the latest news and announcements from Snowflake on LinkedIn and X .
Methodology
The 2026 Future of AI + Interoperability in Healthcare Report is based on responses from 183 US senior healthcare leaders across providers, payers, health systems, non-profit health organizations and public health agencies. The online survey was conducted in collaboration with Hakkoda, an IBM Company, between October 8, 2025 and January 12, 2026. Figures in this release have been rounded for ease of presentation.
About Snowflake
Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 13,300 customers around the globe, including hundreds of the world’s largest companies, use Snowflake’s AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW).
View source version on businesswire.com: https://www.businesswire.com/news/home/20260310866148/en/
Media Contacts
Courtney Sbrocca
Customer & Industries PR Specialist, Snowflake
press@snowflake.com
FAQ**
How does Snowflake's role in AI data cloud technology, particularly with Intrawest Resorts Holdings Inc. SNOW, enhance interoperability among healthcare organizations for more effective data sharing and AI deployment?
Given that 85% of healthcare leaders prioritize improving data sharing, how can companies like Snowflake leverage partnerships like Hakkoda to address interoperability challenges as seen in the Intrawest Resorts Holdings Inc. SNOW model?
What are the main challenges healthcare organizations face in achieving the anticipated time and cost savings from AI investments, particularly in the context of systems used by Intrawest Resorts Holdings Inc. SNOW?
How does improving interoperability influence the broader operational goals related to value-based care in healthcare, and what role does Snowflake play in this landscape, specifically concerning Intrawest Resorts Holdings Inc. SNOW?
**MWN-AI FAQ is based on asking OpenAI questions about Intrawest Resorts Holdings Inc. (NYSE: SNOW).
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