We help healthcare leaders implement artificial intelligence that actually works. Books, tools, and weekly insights grounded in real operational experience across the US, UK, and Canada.
The Healthcare AI Institute is a research and publishing organization built by people who have actually run healthcare operations. We know what it's like to manage a clinic with 40% no-show rates, fight with EHR systems, and navigate vendor pitches that promise the moon.
Every book, tool, and resource we produce is grounded in operational reality. We name specific vendors. We cite actual metrics. We give you implementation playbooks with real timelines, not vague frameworks you can't act on.
Our mission is simple: give healthcare leaders the practical knowledge they need to implement AI without wasting time, money, or trust.
The series begins with Book 00 — the operational foundation, then builds outward through every domain of healthcare AI. Each title pairs vendor analysis, ROI frameworks, and step-by-step implementation playbooks with the operational architecture established in the foundation volume.
The operational foundation every AI deployment depends on. Templates, access architecture, workforce design, revenue cycle mastery, total-cost-of-care economics, and the governance frameworks that prevent silent failure. The starting point for the entire Healthcare AI Playbook Series.
No-show prediction, schedule optimization, self-scheduling, overbooking algorithms, conversational AI, capacity planning, and vendor evaluation for scheduling AI.
The ambient scribe technology race (DAX Copilot, Abridge, Nabla, DeepScribe, Suki), 5-pillar measurement framework, EHR integration levels, and 24-week implementation playbook.
Prior authorization automation, denial prediction, charge capture optimization, patient payment AI, and the complete RCM technology vendor evaluation.
Ten volumes covering every operational domain in healthcare AI — foundation, fast-payback applications, and the institutional capability to govern them all.
Demand-based scheduling, retention analytics, burnout signal detection
Beyond CSAT — AI that moves loyalty and clinical engagement
HIPAA, ACA 1557, CMS conditions of participation in an AI-enabled operation
Real-time flow, demand surges, voice AI in high-volume access channels
The operational discipline behind sustainable virtual care economics
Capstone: the institutional capability to deploy AI across every domain
Each toolkit maps to a book in our series. Download, customize to your organization, and start implementing today.
The complete decision-making toolkit for evaluating scheduling AI vendors and building the business case.
Track the 16 metrics that matter for patient access. Plug in your numbers, see where you stand against benchmarks.
MD, MBA — Founder
Dr. Neel Chauhan is a physician and healthcare operations leader who co-founded Cloudwell Health, Hawaii's first telehealth company. He has worked in primary care and urgent care systems across the United States, the United Kingdom's NHS, and Canada.
The Healthcare AI Institute was born from a simple observation: most AI resources for healthcare leaders are either too academic to act on or too vendor-driven to trust. Neel built the Institute to fill that gap with practical, implementation-focused resources written by people who understand both the clinical and business sides of healthcare.
Every publication draws on real operational experience, not theoretical frameworks or recycled whitepapers.