<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Patient Support on The Coders Blog</title><link>https://thecodersblog.com/tag/patient-support/</link><description>Recent content in Patient Support on The Coders Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 12 May 2026 07:47:34 +0000</lastBuildDate><atom:link href="https://thecodersblog.com/tag/patient-support/index.xml" rel="self" type="application/rss+xml"/><item><title>Ditto Raises €7.6M for AI-Powered Patient Support</title><link>https://thecodersblog.com/ditto-raises-7-6m-for-ai-powered-patient-support-in-healthtech-2026/</link><pubDate>Tue, 12 May 2026 07:47:34 +0000</pubDate><guid>https://thecodersblog.com/ditto-raises-7-6m-for-ai-powered-patient-support-in-healthtech-2026/</guid><description>&lt;p&gt;A sudden disk exhaustion error silently crippled Ditto’s patient summary generation for an entire region. The root cause? A seemingly innocuous &lt;code&gt;DEBUG&lt;/code&gt; logging level, left unchecked for weeks, had ballooned into gigabytes of verbose output under peak consultation traffic, overwhelming storage and impacting crucial data synchronization. This incident, while localized, highlights a critical risk in deploying sophisticated AI within the healthcare ecosystem: the unmanaged operational side-effects of high-fidelity logging. Ditto, a Dutch healthtech startup, has just secured €7.6 million in funding, a testament to its ambitious vision to transform patient support. However, their success hinges on navigating these technical undercurrents, moving AI’s impact beyond mere diagnostics to proactive, personalized patient engagement.&lt;/p&gt;</description></item></channel></rss>