By Tejas V. Deshmukh, Healthcare and Lifescience, BU Head at PROLIM
For years, one of the biggest barriers to adopting AI in healthcare hasn’t been the technology—it has been the business model.
Healthcare providers have consistently asked a fundamental question:
The Centers for Medicare & Medicaid Services (CMS) may have just taken a significant step toward answering that question.
Under the proposed 2027 Hospital Outpatient Prospective Payment System (OPPS), CMS has introduced the concept of Software as a Medical Service (SaMS)—a new reimbursement framework that recognizes certain AI-powered clinical software as a reimbursable service rather than simply another expense bundled into hospital operations.
If finalized, this could fundamentally reshape the economics of healthcare AI.
Why this matters:
Today, many AI solutions are expected to demonstrate clinical value while competing for limited IT budgets. Even when these solutions improve patient outcomes, reduce clinician workload, or streamline hospital operations, there has often been no direct reimbursement pathway.
The proposed SaMS framework changes that conversation.
By establishing an independent reimbursement mechanism for qualifying software, CMS is effectively acknowledging that software itself can deliver measurable clinical value. This creates stronger incentives for healthcare providers to invest in AI solutions that improve patient care, operational efficiency, and clinical decision-making.
A win for innovation
The proposal is particularly encouraging for HealthTech startups and digital health companies.
Rather than waiting years to establish extensive claims history before realizing financial returns, innovative AI solutions could have a clearer pathway toward reimbursement during the early stages of adoption.
This has the potential to accelerate innovation across areas such as:
- Clinical Decision Support
- Ambient Clinical Documentation
- Medical Imaging
- Predictive Analytics
- Remote Patient Monitoring
- Population Health Management
- Precision Medicine
- Revenue Cycle Intelligence
The Role of Modern Data Platforms
- The next generation of healthcare AI will only be as effective as the data foundation supporting it.
- Building trustworthy AI requires secure, interoperable, and scalable healthcare data platforms capable of bringing together EHR, claims, imaging, pharmacy, genomics, wearables, and operational data into a governed, AI-ready environment.
- This is where cloud-native platforms like Snowflake are becoming the backbone of modern healthcare innovation.
At PROLIM, an Elite Snowflake Partner, we engage with Healthcare Providers, Payers, Life Sciences organizations, and HealthTech companies to unlock the full potential of the Snowflake AI Data Cloud.
Our focus goes beyond data modernization. We help organizations build intelligent healthcare solutions by combining interoperable data architectures, secure AI pipelines, and healthcare-specific accelerators that accelerate time-to-value.
From Patient 360, Commercial Analytics, and FHIR-to-OMOP data transformation to AI-powered clinical insights, real-time interoperability using Openflow connectors, and agentic AI applications built with Snowpark and Streamlit, we enable HealthTech innovators to transform data into measurable clinical and operational outcomes.
Our mission is to help healthcare organizations achieve the Triple Aim:
- Improve patient outcomes through data-driven clinical intelligence.
- Enhance the patient and provider experience with AI-powered workflows.
- Reduce the total cost of care through automation, predictive analytics, and operational efficiency.
As reimbursement models evolve to recognize the value of AI-driven software, organizations with a modern, governed data foundation will be best positioned to innovate with confidence.
The healthcare industry is moving beyond conversations about becoming “AI-ready.”
The focus is now shifting toward building AI solutions that deliver measurable clinical outcomes, improve operational efficiency, and create sustainable financial value.
If CMS finalizes the SaMS proposal, it could become one of the most significant policy changes for healthcare AI in recent years.
For HealthTech innovators, Providers, and technology partners, this is more than a reimbursement update—it is a clear signal that AI is becoming an integral part of clinical care delivery.
The future of healthcare won’t simply be AI-powered.
It will be AI-powered, outcome-driven, and AI-reimbursed.
How is your organization preparing for this next wave of healthcare AI innovation?
