Tag Archives: policy

AI Reimbursement Is Becoming a Workflow Problem

CMS has proposed a new way to recognize and potentially pay for certain software-based clinical services (always start with the fact sheet – far more readable than the full text). This may matter in radiology, but it does not mean every AI tool will suddenly be reimbursed by Medicare.

The proposal calls these tools Software as a Medical Service. Examples include software that extracts useful information from medical images, such as heart blood-flow analysis, fracture-risk scores, or brain MRI comparisons. CMS would give some of these services their own payment category while it learns more about how they are used.

Medicare is beginning to acknowledge that some software can provide clinical information beyond a simple workflow aid, and it augments rather than replace physician work (Radiologists have been saying this for a while, and other -ologies expected to follow as product lines expand). Still, the proposal is temporary and limited. Many AI tools would not qualify for separate payment, and payment will depend on appropriate ordering, documentation, billing, and medical necessity.

Clear language matters – CMS differentiates between assistive, augmentative, and autonomous. Software that helps a radiologist work faster (assistive) is different from software that provides new, clinically useful measurements (augmentative). Both differ from a system that makes a diagnosis without a clinician (autonomous). Administrative tools such as scheduling or drafting messages can be useful, but they are not diagnostic services.

The bigger challenge is workflow. Buying or building a tool is only the beginning. All of it involve some form of cost. Hospitals must integrate it into their systems, review privacy and security, train staff, check its performance, document its use, bill correctly, manage denials, and show that it improves care. On the flip side, a billing code alone does not guarantee revenue.

For radiology leaders, the practical next step is to take inventory: Which software tools are already in use? What do they add to patient care? Are eligible services being documented and billed correctly? What do they cost, and what clinical decisions do they improve?

CMS’s proposal is a meaningful step, but not a windfall. The opportunity is to identify the software services that provide distinct value, and build reliable workflows around them.

AI Regulation in Healthcare: CMS and Congressional Scrutiny

AI regulation in healthcare is coming. This article from FierceHealthcare summarizes the growing use of artificial intelligence (AI) in healthcare innovations and the increasing scrutiny from Senate lawmakers regarding AI regulation and healthcare payment. It highlights the concerns of bias in AI systems and the legislative scrutiny to ensure these technologies benefit patient care without discrimination. The discussion also covers lawsuits against major Medicare Advantage insurers for allegedly using AI to deny care, and the Centers for Medicare & Medicaid Services’ (CMS) guidance on AI use in healthcare decisions. Additionally, the need for transparency, accountability, and meaningful human review in AI applications in healthcare is emphasized, alongside calls for federal support to navigate AI’s integration into healthcare practices responsibly.

I urge you to read the full article which includes links to the first-hand sources and supplement with a short summary below for the busy professional.

1-Minute Summary

  • Federal lawmakers are actively discussing the impact of artificial intelligence (AI) in healthcare, emphasizing the need to protect patients from bias inherent in some big data systems without stifling innovation. These biases can discriminate against patients based on race, gender, sexual orientation, and disability.
  • To ensure the beneficial outcomes of AI while safeguarding patient rights, the Algorithmic Accountability Act was introduced. This act mandates healthcare systems to regularly verify that AI tools are being used as intended and are not perpetuating harmful biases, especially in federal programs like Medicare and Medicaid.
  • Major Medicare Advantage insurers, including Humana and UnitedHealthcare, are under legal scrutiny for allegedly using AI algorithms to deny care, highlighting the challenges of implementing AI in patient care decisions without exacerbating discrimination or introducing new biases.
  • The Centers for Medicare & Medicaid Services (CMS) issued guidelines prohibiting the use of AI or algorithms for making coverage decisions or denying care based solely on algorithmic predictions, emphasizing the necessity for decisions to be based on individual patient circumstances and reviewed by medical professionals.
  • Testimonies during the legislative hearings called for additional clarity on the proper use of AI in healthcare, suggesting the establishment of AI assurance labs for developing standards, and advocating for federal support to help healthcare organizations navigate the use of AI tools through investments in technical assistance, infrastructure, and training.

American College of Radiology

The emphasis on AI transparency as an answer to bias is not new. The American College of Radiology (ACR) recently kicked off its Transparent-AI initiative to advocate for openness and trust in AI. The program invites all manufacturers with FDA-cleared AI tools to participate. By offering detailed insights into an algorithm’s training, performance, and intended use, Transparent-AI not only boosts product credibility but also aids in integrating these innovations into diverse healthcare environments. Behind the scenes, the ACR has also advocated for transparency in AI with various federal agencies and lawmakers.

Disclosure: I am not involved with Transparent-AI but do sit on the ACR Commission on Informatics and chair the ACR Informatics Advisory Council and annual ACR DSI Summit. Register for the 2024 DSI Summit here!

Informatics Sessions at RSNA 2016 You Don’t Want to Miss

The Radiology Society of North America (RSNA) Annual Meeting is a place to expand your knowledge base, both by taking a deeper dive into your core interest and by getting your feet wet a few new skills.

If informatics is something you’ve been interested in but need a good way to get started, then the RSNA offers some solid opportunities for beginners. Continue reading