Where and How to Host Your AI Agent Harness in RCM
Deploying agentic AI, which really means autonomous AI in large scale healthcare systems is really about managing affordances. The incredible unlocks with the progress of AI have the potential to create a real change in the healthcare system to make it more efficient and increase net revenue. What most people are after nowadays, when they talk about creating agentic systems is creating systems where AI can run autonomously to make decisions, and execute long running tasks end-to-end. When considering different AI agent harnesses, the thing that makes healthcare different is the HIPAA and PHI considerations.
Generally, you will have to sign a BAA with an frontier model company if you are using their LLM (think OpenAI or Anthropic’s models). This prevents these model providers from using your data to train their models. There are cloud providers that host these models in a HIPAA compliant way, so thats the good news. They will provide dedicated infrastructure for you. We use AWS Bedrock for our deployments. It allows you to use the Claude Opus models and even Nvidia’s new Nemotron models. Azure gives you access to the OpenAI models in a cloud enterprise-ready environment. What’s surprising is its not actually that much more expensive to use these models through the enterprise plans, rather than going directly with an individual consumer subscription. Many healthcare systems will already be running on Azure, and OpenAI has already developed a bit of a headstart with healthcare practices. They also have a small hosting cost associated with their usage. Bedrock is usually the fastest to approve and their BAA process is the shortest.
If you do decide to utilize your own enterprise model, you can host it on Amazon Bedrock. There is a growing need for automation, intelligence, and interoperability in healthcare because the complexity of reimbursement continues to increase. There are moves that certain payers are making like UHG actually cutting out prior auth requirements for certain procedures, but he fact remains that RCM continues to get more complicated and require more piping to make data interoperable between different systems. Future-proofing your RCM system for this uncertain future requires an organization to take measured steps to understand where the model providers are going with their business roadmap. Anthropic is making some real investments in healthcare and especially within tech around prior auth, so take note. AI models are eating the world, but there are still many moats. Healthcare remains a local business so its especially important to use forward deployed engineering to suss out workflow inefficiencies that impact patient care and collections.
Especially now with the PE firms swooping in and consolidating smaller specialty RCM groups, the need to create efficiencies on an AI-enabled chassis are just increasing. At ClearCycleAI our goal is to be outcome focused. We help healthcare practices recover revenue without increasing headcount. The is an ever expanding field we’re in. Some would call it an AI boom which is catalyzing a real industrial revolution. As a result, there is a lot of confusion on what steps to take and what technologies to adopt to future proof yourself. This is where we can help. Please reach out to us for a FREE assessment on where your company stands. We’re here to help! Email hello@clearcycle.ai for more information.
