Payer Strategies for AI Readiness: Building a Trusted Data Foundation

Health plans are under increasing pressure to deliver personalized member experiences, improve payment data accuracy, and reduce administrative waste. To achieve these goals, many organizations are turning to artificial intelligence (AI) as a key technology. However, fragmented and inconsistent data across their businesses pose significant barriers to effective AI implementation. A webinar scheduled for July 22 at 1 pm ET will delve into how payers can overcome these challenges by building a trusted data foundation.

The webinar, sponsored by Verato, a leader in healthcare data and identity management, will feature a strategic conversation with payer executives. The discussion aims to move beyond data exchange and focus on using reliable data to drive measurable transformation. This shift is crucial as the healthcare industry increasingly relies on AI for improved patient care and operational efficiency.

Verato’s Vice President of Product Marketing, Martin Hougaard, will moderate the webinar. With extensive experience in data strategy and interoperability, Hougaard helps health plans unlock the value of accurate, unified member data. He emphasizes that building a trusted data foundation is essential for effective AI readiness. "AI can only be as good as the data it works with," Hougaard notes. "Without reliable data, even the most advanced models will fall short."

One of the panelists, Vinay Kulkarni, Chief Information Officer of SCAN Health Plan, brings a wealth of expertise in digital transformation and IT operations. Kulkarni’s focus on improving efficiency, scaling growth, and enhancing the member experience aligns with the webinar's goals. "Our ability to connect people, providers, and relationships across the enterprise is critical," he says. "AI can help us achieve this by providing actionable insights and streamlining processes."

The Role of Data Trust in AI Readiness

The webinar will explore several key areas where payer leaders can evaluate their AI readiness beyond just model selection. These include data trust, identity resolution, workflow integration, and measurable business impact. Data trust is particularly important because it ensures that the information used by AI models is accurate and reliable.

Identity resolution, another critical aspect, involves accurately linking member and provider data across different systems. This can be challenging in a fragmented healthcare landscape where data silos are common. "Fragmented data remains a significant barrier to payer transformation," Kulkarni explains. "Even with increased investments in interoperability and analytics, organizations struggle to create a unified view of their members and providers."

Workflow integration is another essential component. AI models must seamlessly integrate into existing workflows to provide real-time insights and actionable recommendations. This requires not only technical expertise but also a deep understanding of the operational processes within health plans.

Measurable business impact is the ultimate goal. Payers need to see tangible results from their AI investments, such as improved member satisfaction, reduced administrative costs, and enhanced clinical outcomes. "We must be able to quantify the benefits of AI," Hougaard emphasizes. "This includes both financial metrics and improvements in patient care."

What Comes Next

The webinar will also address how identity, data quality, and governance affect the member experience, provider network operations, and AI readiness. These factors are interrelated and crucial for building a trusted data foundation. For instance, high-quality data can lead to more accurate risk assessments, better care coordination, and personalized treatment plans.

Health plans should focus on turning disconnected data into trusted intelligence for both operational and strategic decision-making. This involves investing in robust data management systems, training staff on best practices, and fostering a culture of data-driven decision-making. "The next era of payer performance will depend less on adding more point solutions and more on building a comprehensive data infrastructure," Hougaard concludes.

As the healthcare industry continues to embrace AI, the importance of a trusted data foundation cannot be overstated. By addressing these key areas, payers can ensure that their AI initiatives are successful and contribute to improved patient care and operational efficiency. To learn more and register for the webinar, visit Verato’s website.

The AI juggernaut is all-in on the healthcare industry, with tools like ChatGPT already providing health advice to millions of people daily. As Marc Andreessen notes, AI's ability to quickly search and understand medical research can significantly enhance healthcare delivery. For payers, this means leveraging AI not just for operational improvements but also for transforming the overall member experience.