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		<title>Clinical data on transtorm.ai</title>
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		<description>Recent content in Clinical data on transtorm.ai</description>
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			<lastBuildDate>Wed, 19 Aug 2026 00:00:00 +0000</lastBuildDate>
		
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				<title>Injection Registry</title>
				<link>https://transtorm.ai/usecases/ivt-registry/</link>
				<pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate>
				<guid>https://transtorm.ai/usecases/ivt-registry/</guid>
				<description>&lt;h2 id=&#34;context&#34;&gt;Context&lt;/h2&gt;&#xA;&lt;p&gt;In an anti-VEGF practice, the injections are routine; keeping a clean longitudinal record is not. Visual acuity sits in one place, OCT measurements in another, the drug and lot number on a label, the next appointment in the front desk&amp;rsquo;s memory. When the specialist wants to know whether an eye is actually responding to treatment, the data exists, but rarely in front of them in a readable form.&lt;/p&gt;&#xA;&lt;h2 id=&#34;operational-challenge&#34;&gt;Operational Challenge&lt;/h2&gt;&#xA;&lt;ul&gt;&#xA;&lt;li&gt;&lt;strong&gt;Scattered data&lt;/strong&gt;: Acuity, OCT, drug, lot and appointments live in different systems or on different media.&lt;/li&gt;&#xA;&lt;li&gt;&lt;strong&gt;Fragile data entry&lt;/strong&gt;: Free text and hand-copied values produce inconsistent records that are hard to work with.&lt;/li&gt;&#xA;&lt;li&gt;&lt;strong&gt;Invisible treatment response&lt;/strong&gt;: Comparing an eye&amp;rsquo;s course or outcomes by drug requires manual reconstruction.&lt;/li&gt;&#xA;&lt;li&gt;&lt;strong&gt;Tracking overdue eyes&lt;/strong&gt;: Spotting eyes that are genuinely behind on their protocol depends on the team&amp;rsquo;s vigilance.&lt;/li&gt;&#xA;&lt;/ul&gt;&#xA;&lt;h2 id=&#34;solution-architecture&#34;&gt;Solution Architecture&lt;/h2&gt;&#xA;&lt;p&gt;The &lt;a href=&#34;https://transtorm.ai/blog/intravitreal-injection-registry-anti-vegf/&#34;&gt;intravitreal injection registry&lt;/a&gt; brings each eye together in a single longitudinal record. Data entry is structured and guided by a clinical context card; fields use controlled vocabularies for drugs and protocols, and carried-over values must be confirmed, never silently inherited. Reading takes a single glance: ETDRS and CST timelines per eye, cohort-level outcome comparison by drug, and a pseudonymized CSV export ready for a clinical study. Everything runs on your own infrastructure.&lt;/p&gt;</description>
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				<title>Astigmatism in LASIK Planning: Why the Spreadsheet Has to Go</title>
				<link>https://transtorm.ai/blog/lasik-astigmatism-planning-vector-analysis/</link>
				<pubDate>Sun, 05 Jul 2026 00:00:00 +0200</pubDate>
				<guid>https://transtorm.ai/blog/lasik-astigmatism-planning-vector-analysis/</guid>
				<description>How a pre-LASIK astigmatism planner replaces the spreadsheet: vector analysis and ORA computed for every eye, all the way to the laser plan.</description>
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				<title>A Purpose-Built Registry for Intravitreal Injections</title>
				<link>https://transtorm.ai/blog/intravitreal-injection-registry-anti-vegf/</link>
				<pubDate>Tue, 02 Jun 2026 00:00:00 +0200</pubDate>
				<guid>https://transtorm.ai/blog/intravitreal-injection-registry-anti-vegf/</guid>
				<description>How a medical-retina clinic encodes anti-VEGF injections safely and reads ETDRS/CST outcomes at a glance, and how the same engine adapts to clinical research.</description>
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