Beyond the Hype: Unpacking the True Cost of Custom AI for Healthcare Executives
Navigating the strategic decision of building in-house AI capabilities versus partnering with experts is crucial for healthcare executives. Discover the real math behind these choices, and why "cost-to-learn" often outweighs "cost-to-earn" in the rapidly evolving world of custom AI. Introduction The promise of Artificial Intelligence (AI) in healthcare is immense. From optimizing EHR integrations to […]
Outgrowing AI One-Size-Fits-Nobody SaaS: The Black-Box Problem & How to Escape It
Why bundled SaaS AI can silently stall growth—and how healthcare leaders are reclaiming control with model-agnostic orchestration. Introduction AI now comes baked into nearly every SaaS software that healthcare organizations rely on—from practice management systems to HRIS platforms to CRM programs. But here’s the catch: you don’t control the AI provider or the model, you […]
The Mid-Market AI Squeeze: Why Everyone’s Suddenly Shopping for an Outside Brain
Introduction Fast-growing mid-market is under unprecedented pressure to “do something with AI”—but lack impartial assessment, internal expertise, and clear ROI. This urgency is driving decision-makers to seek flexible, healthcare-informed external AI partners over generic SaaS or risky DIY paths. Why MSOs and TPAs Are Feeling the AI Squeeze? Why Black Box AI and SaaS Uplift […]
Who Really Owns Your Data? Are You Being Held Hostage by Your EHR?
Data is a critical asset for ABA practices, yet EHR platforms can limit true data ownership by restricting access, integration, and portability. This article explores the risks of relying on SaaS-based EHRs, from data lock-in and limited extraction capabilities to the high costs associated with switching platforms. Learn proactive strategies for reclaiming control over your data—like regular backups to an independent data warehouse and partnerships with development experts—to help ensure flexibility, continuity, and scalability for your practice.