Scaling Smarter: Why Healthcare AI Must Move Beyond Point Solutions, Insights from Andor Health COO Pritesh Patel
Artificial intelligence (AI) is fast becoming a pillar of modern healthcare. Yet many health systems remain trapped in a cycle of deploying fragmented, single-use AI tools—solutions that promise quick wins but rarely drive lasting transformation. The real breakthrough lies in adopting an AI platform approach—one that harnesses AI across the full continuum of care and operations, delivering systemic value at scale.
Leading this shift is Andor Health. Its AI-first ThinkAndor® platform is helping health systems escape the inefficiencies of siloed solutions. According to Pritesh Patel, COO of Andor Health, scaling AI across an enterprise is the key to unlocking new levels of clinical efficiency, care quality, and operational agility.
Why Fragmented AI Fails to Deliver
Healthcare has a long history of adopting point technologies—often with disappointing results. Many organizations introduced early digital health applications as isolated solutions, only to encounter spiraling complexity and diminished returns.
Today, the rapid influx of AI-powered point tools risks repeating that cycle. Implementing AI in isolated pockets creates parallel inefficiencies and missed opportunities.
An AI platform approach offers a smarter path forward: one in which AI capabilities are systematically deployed across the health system, enabling broad innovation while maintaining coherence and control. Once implemented at scale, AI becomes a shared, repurposable asset—one that amplifies outcomes across multiple functions.
Moving from Single-Use to Enterprise Value
Andor Health’s ThinkAndor® is designed to break the single-use mold. By supporting diverse, system-wide use cases, it turns AI into an enterprise capability rather than a collection of disconnected features.
Transforming Clinical Documentation
Through automated ambient documentation, ThinkAndor® has improved nursing documentation efficiency by 47%, reduced roughly 200 EHR clicks per patient admission, and boosted overall staff productivity by 15%. The result? Nurses triple their capacity and spend more time on patient care instead of paperwork.
Advancing Predictive Care Coordination
ThinkAndor® also enables advanced machine learning models that drive personalized care without adding administrative burden. For example, AI-based models predicting post-surgical outcomes (e.g. urinary continence and erectile function following robotic-assisted prostatectomy) outperformed traditional methods, achieving AUCs of 0.74 (potency) and 0.68 (continence). Such insights empower clinicians to guide patients more effectively through complex care decisions.
AI Vision Without the Hardware Overhead
In addition, ThinkAndor® delivers neural vision insights without requiring costly proprietary hardware. Its AI agents continuously monitor conditions like bed availability, room readiness, staff-patient interactions, fall risks, and more—enhancing both safety and care team coordination. The platform seamlessly connects with ancillary systems (EMR, CRM, HR), enabling intelligent data exchange and automated workflows.
Building a More Sustainable Future
AI is more than a tool for efficiency. As Pritesh Patel emphasizes, it is a driver of healthcare sustainability. ThinkAndor® helps health systems optimize care pathways, reduce administrative overhead, and enable more responsive, data-driven decision-making—while maintaining full regulatory compliance.
For healthcare organizations planning for the long term, adopting an AI platform approach is no longer optional. It is essential.
By leveraging AI as an enterprise-wide infrastructure, health systems can deliver smarter care, elevate workforce performance, and build more resilient, patient-centered organizations—not just today, but for the future of healthcare.
