Read this if you work within a State Medicaid Agency (SMA). This is the fourth article in a series of articles published in follow-up to the Medicaid Enterprise Systems Conference (MESC) 2024. Prior articles highlighted industry trends, the value of the CMS and SMA MES partnership, and forthcoming guidance on APDs, SMC, and MITA 4.0, while future articles will discuss how SMAs can further support their teams in achieving organizational excellence.
Artificial Intelligence (AI) continues to dominate tech innovation headlines and Medicaid industry partners continue to express both fear and excitement over its potential to tactically support the enterprise. State Medicaid Agencies (SMAs) and their industry partners have been tactfully integrating Artificial Intelligence—whether generative, predictive, analytical, automated, or assisted—into Medicaid discussions and initiatives...and generating positive results!
Below are a few examples of SMAs testing the AI waters and getting favorable results:
- Tennessee is using AI to rapidly locate policy answers to address constituent questions and expedite eligibility determinations.
- Kentucky is using a chat knowledge bot to help eligibility workers search for policy and process information.
- New York is leveraging docAI to match EOBs to claims and identify potential mismatches for human review.
- Louisiana is using a chatbot for non-MAGI call centers to answer basic questions and allow customer service representatives to focus on other work and calls. (Spoiler: Constituents love it!)
- Wisconsin is using a chatbot to examine existing policies and help team members find answers needed to support their responsibilities.
At the Medicaid Enterprise Systems Conference (MESC) in August, SMAs and industry leaders also discussed and provided advice for interested parties looking to start the AI conversation:
- Identify clear objectives for AI—through defined use cases and measurable goals—to help ensure AI initiatives align with your agency’s overall mission, vision, and goals.
- Build a strong data foundation and clear boundaries through data quality, governance, and interoperability.
- Start small with pilot projects.
- Invest in upskilling staff and establish teams to help them understand AI technologies, how to work with them, and how to interpret AI-driven insights. Don’t forget to test your AI technologies!
- Draft and implement agency policies and protocols to monitor AI systems, create transparency, and help ensure ethical and responsible AI use.
- Collaborate with federal and industry partners to share knowledge, resources, and best practices.
- Focus on the scalability of solutions, the need to continuously improve AI technologies, and how teams are using them.
As an industry leader who is partnering with SMAs nationwide, BerryDunn is often called upon to be at the forefront of helping SMAs design innovative solutions for their Medicaid programs. AI provides SMAs the unique opportunity to address operational challenges as well as existing business processes in areas such as program integrity, care management, member engagement, and data analytics and reporting. In addition to the great points industry leaders shared at MESC, below are some additional considerations for Medicaid innovators looking to get started:
Understand the opportunities for AI: Each Medicaid program is unique, and understanding where there may be opportunities for efficiency or enhanced effectiveness is a good first step to identifying where AI may be able to support your program. Typically, the areas of program integrity, provider enrollment, member enrollment, care management, and data analytics and reporting are some of the more typical business areas where AI-related opportunities may exist. An SMA’s Medicaid Information Technology Architecture (MITA) State Self-Assessment (SSA) may be a great document to reference when looking for those opportunities for AI.
Assess the current state: Assessing the current state of an SMA does not just entail focusing on the program’s policy- or technology-related needs. It also entails understanding the organizational capacity for change and its understanding of AI. Change and AI have a tendency to bring about excitement and apprehension, and understanding your SMA's readiness for change and AI is essential part of gaining SMA buy-in.
Define your AI use cases: As an output from your analysis of those opportunities for AI and your assessment of the current state, consider those areas where AI could make the most immediate impact. Maybe it’s in program integrity where predictive analytics and AI-based fraud detection could identify anomalies in billing, or maybe it’s in care management where assistance identifying high-risk patients is needed. As mentioned earlier, start small!
Build a cross-functional team: Successful AI requires collaboration across the agency and more specifically within those areas impacted by your use cases. Typically, AI teams are comprised of a sponsor, more technical resources familiar with the SMA’s technology and infrastructure, your business leads, and AI experts. Your federal partners are also an invaluable resource for you on your AI journey.
Invest in data governance and infrastructure: AI thrives in high-quality data environments, so SMAs will need data governance and its supporting infrastructure to help ensure AI solutions can be effective. Prioritize clean, standardized, and accessible data, and ensure appropriate safeguards (i.e. policy) are in place to support AI usage.
Plan for long-term AI integration (and change!): AI is here to stay. Investing in your agency’s AI roadmap is one effective way to help establish an AI plan and infrastructure that can improve operational efficiency, enhance program effectiveness, and enhance rates of adoption.
By starting with a focused, methodical approach, SMAs can leverage AI to enhance service delivery, improve operational efficiency, and better serve their constituents. Embracing AI is an existing SMA challenge. Let’s continue the conversation on how we can help today!
Previous articles in this series:
CMS is your enterprise partner: Are you leaning in yet?
MITA 4.0, APDs, and more: Clearer guidance and helpful templates are coming!
Medicaid outcomes, measures, and metrics are here to stay