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        <title>Clint Johnson — healthcare AI</title>
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            <title><![CDATA[Healthcare AI Will Be Won by Verticals. The Recipe Has Been Around for a Decade.]]></title>
            <link>https://www.clint-johnson.com/articles/healthcare-ai-vertical-wins</link>
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            <pubDate>Fri, 08 May 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[Most healthcare AI companies are failing for the same reason. The ones winning are running the same playbook: one Palantir figured out before anyone called it AI. Forward-deployed engineer. Ontology. Integrations. Then AI tooling.]]></description>
            <content:encoded><![CDATA[Most healthcare AI companies are failing for the same reason. The ones winning are running the same playbook: one Palantir figured out before anyone called it AI. Forward-deployed engineer. Ontology. Integrations. Then AI tooling.]]></content:encoded>
            <author>clint@1putthealth.com (Clint Johnson)</author>
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            <title><![CDATA[Vision + Language: How Multimodal LLMs Actually Work (And When to Use Them)]]></title>
            <link>https://www.clint-johnson.com/articles/multimodal-llms-vision-language</link>
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            <pubDate>Mon, 05 May 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[Multimodal LLMs integrate vision through two fundamentally different architectures. Knowing which one you need, and why, shapes every other technical choice in your build.]]></description>
            <content:encoded><![CDATA[Multimodal LLMs integrate vision through two fundamentally different architectures. Knowing which one you need, and why, shapes every other technical choice in your build.]]></content:encoded>
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            <title><![CDATA[FHIR Meets Graph Databases: Exploring Healthcare's Natural Network Structure]]></title>
            <link>https://www.clint-johnson.com/articles/clarity-health-clair</link>
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            <pubDate>Sun, 30 Mar 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[FHIR data is a graph. Treating it as flat tables is why most healthcare AI struggles with relationships between patients, providers, and encounters. What happens when you model it the way it actually is.]]></description>
            <content:encoded><![CDATA[FHIR data is a graph. Treating it as flat tables is why most healthcare AI struggles with relationships between patients, providers, and encounters. What happens when you model it the way it actually is.]]></content:encoded>
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            <title><![CDATA[The GenAI Strategy Question You're Not Asking (But Should Be)]]></title>
            <link>https://www.clint-johnson.com/articles/genai-strategy-for-practitioners</link>
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            <pubDate>Thu, 16 Jan 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[Everyone asks 'how should we use GenAI?' The honest answer requires a harder question: does AI's unique capability create new value here, or is it just a more expensive way to do something that already worked? A practitioner's framework for getting this right in healthcare.]]></description>
            <content:encoded><![CDATA[Everyone asks 'how should we use GenAI?' The honest answer requires a harder question: does AI's unique capability create new value here, or is it just a more expensive way to do something that already worked? A practitioner's framework for getting this right in healthcare.]]></content:encoded>
            <author>clint@1putthealth.com (Clint Johnson)</author>
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            <title><![CDATA[Inside the Black Box: What Mechanistic Interpretability Means for Builders]]></title>
            <link>https://www.clint-johnson.com/articles/mechanistic-interpretability-explained</link>
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            <pubDate>Sat, 28 Sep 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[Healthcare AI requires explainability. 'The model said so' is not a clinical rationale. Mechanistic interpretability is the research field trying to change that. What it offers practitioners today, where the gap is, and what to do in the meantime.]]></description>
            <content:encoded><![CDATA[Healthcare AI requires explainability. 'The model said so' is not a clinical rationale. Mechanistic interpretability is the research field trying to change that. What it offers practitioners today, where the gap is, and what to do in the meantime.]]></content:encoded>
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            <title><![CDATA[How to Actually Test If Your AI Will Say Something Dangerous]]></title>
            <link>https://www.clint-johnson.com/articles/jailbreak-evaluation-benchmarks</link>
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            <pubDate>Tue, 10 Sep 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[Most teams treat jailbreak testing as a vibe check. StrongREJECT achieves 0.90 Spearman correlation with human judgment. Automated safety evaluation is real, and there's no excuse not to build it into your pipeline.]]></description>
            <content:encoded><![CDATA[Most teams treat jailbreak testing as a vibe check. StrongREJECT achieves 0.90 Spearman correlation with human judgment. Automated safety evaluation is real, and there's no excuse not to build it into your pipeline.]]></content:encoded>
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