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Original research on healthcare's AI-first era. Market analysis, agent architecture deep dives, and regulatory perspectives.

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6 articles

A Three-Layer Blueprint for Insurance Enrollment Software

product

en

A Three-Layer Blueprint for Insurance Enrollment Software

Most digital insurance platforms force a binary: chatbot or form. Both lose. Enrollment isn't one task, it's three, and each maps to a different optimal interface. Here's the three-layer blueprint that allocates conversational AI, a structured wizard, and async recovery across the journey, with the evidence behind each choice.

#health-insurance#evidence-based-ai#for-ctos+1

article · 9 min · Jun 8, 2026

Beyond LLMs: Why Structure Beats Technology in Healthcare Interfaces

research

en

Beyond LLMs: Why Structure Beats Technology in Healthcare Interfaces

GPT-5 won't fix what GPT-4 broke. In a controlled test, the same language model hit 63% task completion with structured grounding and just 23% without it. The variable that drives healthcare interface effectiveness isn't the model. It's dialogue structure. Here's the evidence, a four-type taxonomy, and what it means for build-vs-buy decisions.

#evidence-based-ai#healthcare-ai#structured-ai+4

article · 8 min · May 18, 2026

Your Customers Don't Know What a Deductible Is. Your Interface Is Making It Worse

product

en

Your Customers Don't Know What a Deductible Is. Your Interface Is Making It Worse

The premise underneath most digital health insurance enrollment flows is that customers understand the product. They know what a deductible is. They understand what a coinsurance rate means. They can compare two plans on out-of-pocket maximums while also accounting for network restrictions, premium differences, and expected utilization. But the evidence on what insured consumers actually understand suggests that this premise is wrong.

#health-insurance#health-insurance-literacy#choice-architecture+2

article · 8 min · Apr 17, 2026

The $36 Billion Question: What the Conversational AI in Healthcare Hype Misses

market

en

The $36 Billion Question: What the Conversational AI in Healthcare Hype Misses

A 4.4× expansion of the global healthcare conversational AI market in nine years (Gartner, 2024). The slope is steep, the trajectory inevitable, the implicit message clear: be in this market, or be left behind. The pattern across the most rigorous syntheses available is consistent: aggregate effectiveness of conversational AI in healthcare is closer to *null* than to the order-of-magnitude productivity gains implied by the market projections.

#evidence-based-ai#healthcare-ai#conversational-ai+4

analysis · 7 min · Mar 16, 2026

The Preference–Performance Paradox: Why Your Chatbot's NPS Is Lying to You

research

en

The Preference–Performance Paradox: Why Your Chatbot's NPS Is Lying to You

70% prefer the chatbot. Chatbots take 73% longer to produce the same output. Same task, same participants, opposite metrics. If NPS is your healthcare interface KPI, you are systematically optimizing for the wrong thing.

#evidence-based-ai#healthcare-ai#conversational-ai+4

analysis · 5 min · Feb 16, 2026

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