Building artificial intelligence for the healthcare sector requires more than just clean code and robust machine learning models. It requires a deep, uncompromising understanding of federal regulations. Are you confident your latest digital health product will survive regulatory scrutiny? When you build healthcare technology, compliance is not an afterthought you can handle right before launch. It is the foundation of your entire product architecture.
If your algorithms process protected health information, generate diagnostic recommendations, or interface with hospital electronic health records, you are operating in one of the most heavily regulated industries in the world. The stakes are incredibly high. A single compliance misstep can result in severe financial penalties, delayed product launches, and a complete loss of trust from healthcare providers. You need a proactive approach to navigate this complex environment. This webinar recording cuts through the legal jargon to give you a clear, actionable roadmap for healthcare AI compliance. We explore how existing frameworks apply to modern artificial intelligence and what you must do to ensure your software is both innovative and legally sound.
What This Session Covers
The current regulatory landscape impacting healthcare AI
This session covers the foundational rules governing digital health, specifically focusing on HIPAA, the 21st Century Cures Act, and the Quality Payment Program. You will learn how these established regulations apply to modern machine learning applications, particularly regarding patient data privacy and information blocking. Understanding this landscape ensures your product roadmap aligns with federal expectations from day one, preventing costly architectural rewrites later in the development lifecycle.
Leveraging FHIR API interfaces
Interoperability is no longer optional; it is a federal mandate. This session details how to leverage FHIR (Fast Healthcare Interoperability Resources) API interfaces as specified by the Promoting Interoperability Program. We explore the technical and regulatory necessity of standardizing how your AI application ingests and shares healthcare data with existing electronic health record systems. Standardization is the backbone of modern care delivery. By utilizing these standardized APIs, you ensure your product can scale across different hospital networks seamlessly without creating isolated data silos.
Diagnostic AI and FDA regulations
When your software transitions from analyzing administrative data to offering clinical insights, the regulatory burden shifts dramatically. We provide a detailed examination of diagnostic AI and how it intersects with FDA regulations, including the latest guidance on Software as a Medical Device (SaMD). The FDA is paying closer attention than ever to algorithms that directly influence patient outcomes. You will discover the critical distinctions between clinical decision support systems and diagnostic tools, helping you navigate the clearance process and validate your algorithms for clinical use.
Key regulatory updates to watch: IPPS and PFS
Innovation must align with reimbursement models if it is to succeed in the market. This segment covers key regulatory updates you need to watch, specifically the Inpatient Prospective Payment System (IPPS) and the Physician Fee Schedule (PFS). Understanding these payment systems is crucial for your go-to-market strategy. We discuss how these payment structures influence hospital purchasing decisions and how your AI product can demonstrate clear financial value within the constraints of current Medicare reimbursement frameworks. If healthcare providers cannot clearly see how your AI integrates into their billing workflows, adoption will stall.
Emerging regulatory structures
Artificial intelligence evolves at a pace that traditional legislation struggles to match. This session covers the emerging regulatory structures being developed to govern healthcare AI in the near future. As machine learning models become more autonomous, regulatory bodies are drafting new guidelines to ensure algorithmic transparency and mitigate bias. You will gain insights into how federal agencies are thinking about continuous learning systems, allowing you to future-proof your software architecture against upcoming compliance mandates and maintain a competitive advantage.
Who This Is For
This session is specifically designed for technical and executive leaders building the next generation of medical software.
- Healthcare digital product CTOs: You need to understand how regulatory requirements dictate data architecture, API integrations, and security protocols. This webinar provides the parameters you need to guide your engineering teams effectively and build compliance directly into your development pipelines.
- Healthcare tech startup CEOs and founders: Navigating compliance is critical to securing funding and closing enterprise deals. Investors want to know you have de-risked the regulatory aspects of your business model. You will learn how to position your AI product as a secure, compliant solution that hospital procurement teams can trust.
- Healthcare digital product CIOs: Implementing third-party AI into your existing hospital infrastructure carries significant risk. This session equips you with the knowledge to evaluate vendor compliance, protect your health system's data integrity, and ensure new tools meet your institution's strict regulatory standards.
Expert Insights on Healthcare AI Compliance
To bring you these insights, we gathered two industry veterans who bridge the gap between clinical practice and software engineering. Sarah Swider Kramer, MD, MBA, is the CEO and Founder of Health IT Simplified. With 25 years of experience as a practicing family physician and former Chief Medical Information Officer at hospitals in Arizona and Nevada, she brings over two decades of expertise in managing enterprise healthcare technology, predictive algorithms, and clinical workflows. Joining her is Andrei Kasyanau, Co-founder and CEO at Glorium Technologies. As a startup advisor with 13 years of experience scaling a prominent US tech consulting firm, Andrei understands the technical hurdles of bringing compliant software to market. Under his leadership, Glorium Technologies has been consistently recognized on the Inc. 5000 Fastest-Growing Private Companies list for four consecutive years.
If you are looking for specialized guidance to navigate these complex requirements, our AI healthcare consulting services can help you align your product vision with regulatory realities. Through our healthcare practice, we provide the end-to-end engineering and compliance expertise needed to build secure, impactful medical technology. Watch the full webinar recording below to understand the regulations shaping the future of healthcare AI.
