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 <title>AritmoLab — Role of AI in the Analysis of Unstructured Clinical Databases</title>
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     <div class="kicker">The clinical ontology</div>
     <h2>Two tiers, one clinical order</h2>
-    <div class="tier">
-      <span class="tier-label">TIER 1 · arrhythmic — 11 categories</span>
-      <div class="chips">
-        <span class="chipc">FA <span class="g">· AF</span></span><span class="chipc">Brugada</span><span class="chipc">Flutter</span><span class="chipc">TA <span class="g">· AT</span></span><span class="chipc">TRN <span class="g">· AVNRT</span></span><span class="chipc">WPW / TPSV <span class="g">· PSVT</span></span><span class="chipc">TV <span class="g">· VT</span></span><span class="chipc">FV <span class="g">· VF</span></span><span class="chipc">Extrasistolia V. <span class="g">· ventricular ectopy</span></span><span class="chipc">Sincope <span class="g">· syncope</span></span><span class="chipc">QT lungo <span class="g">· long QT</span></span>
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+        <div class="tier-h">TIER 1 · arrhythmic<span class="cnt">11</span></div>
+        <div class="cats">
+          <span class="cat fill"><b>AF</b><span class="it">FA</span></span><span class="cat fill"><b>Brugada</b></span><span class="cat fill"><b>Flutter</b></span><span class="cat fill"><b>AT</b><span class="it">TA</span></span><span class="cat fill"><b>AVNRT</b><span class="it">TRN</span></span><span class="cat fill"><b>PSVT</b><span class="it">WPW / TPSV</span></span><span class="cat fill"><b>VT</b><span class="it">TV</span></span><span class="cat fill"><b>VF</b><span class="it">FV</span></span><span class="cat fill"><b>Ventricular ectopy</b><span class="it">Extrasistolia V.</span></span><span class="cat fill"><b>Syncope</b><span class="it">Sincope</span></span><span class="cat fill"><b>Long QT</b><span class="it">QT lungo</span></span>
+        </div>
+        <div class="tier-h">TIER 2 · structural<span class="cnt">5</span></div>
+        <div class="cats">
+          <span class="cat"><b>AV block</b><span class="it">Blocco AV</span></span><span class="cat"><b>Bundle branch block</b><span class="it">Blocco di branca</span></span><span class="cat"><b>Cardiomyopathy</b><span class="it">Cardiomiopatia</span></span><span class="cat"><b>Heart failure</b><span class="it">Scompenso</span></span><span class="cat"><b>Valvular disease</b><span class="it">Valvulopatia</span></span>
+        </div>
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+          <div class="oitem"><span class="n">01</span><div><b>Order encodes clinical precedence</b> <span class="d">— “Brugada” is matched before “TV”, so “substrato per TV” <span class="g">(“substrate for VT”)</span> can't mask a Brugada pattern</span></div></div>
+          <div class="oitem"><span class="n">02</span><div><b>Synonyms live inline</b> <span class="d">— FA / f.a. / fib. atriale / atrial fibrillation → one canonical label</span></div></div>
+          <div class="oitem"><span class="n">03</span><div><b>Versioned like software</b> <span class="d">— semver for the pattern library, <code>pattern_version</code> on every extracted row</span></div></div>
+        </div>
+      </div>
+      <div class="out-panel">
+        <div class="out-h">The output: text becomes recorded data</div>
+        <div class="out-item"><span class="n">01</span><div><b>Quantitative data on the records</b><span class="d">every procedure and implant the text analysis reads is written back as structured, quantitative values on the record that describes it</span></div></div>
+        <div class="out-item"><span class="n">02</span><div><b>Straight into the DWH flow</b><span class="d">these records enter the data-warehouse generation like any other source</span></div></div>
+        <div class="out-item"><span class="n">03</span><div><b>As if typed at the visit</b><span class="d">the data lands exactly as if clinicians had keyed it in themselves during the visits</span></div></div>
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-      <span class="tier-label">TIER 2 · structural — 5 categories</span>
-      <div class="chips">
-        <span class="chipc">Blocco AV <span class="g">· AV block</span></span><span class="chipc">Blocco di branca <span class="g">· bundle branch block</span></span><span class="chipc">Cardiomiopatia <span class="g">· cardiomyopathy</span></span><span class="chipc">Scompenso <span class="g">· heart failure</span></span><span class="chipc">Valvulopatia <span class="g">· valvular disease</span></span>
-      </div>
-    </div>
-    <ul class="points" style="margin-top:24px">
-      <li><b>Order encodes clinical precedence</b> — “Brugada” is matched before “TV”, so “substrato per TV” <span class="g">(“substrate for VT”)</span> can't mask a Brugada pattern</li>
-      <li><b>Synonyms live inline</b> — FA / f.a. / fib. atriale / atrial fibrillation → one canonical label</li>
-      <li><b>Versioned like software</b> — semver for the pattern library, <code>pattern_version</code> on every extracted row</li>
-    </ul>
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   <footer class="foot"><span class="g">Role of AI in the Analysis of Unstructured Clinical Databases</span><span class="g">Dr. Marco Pancotti - MultiPhysixLab</span><span class="g">Dr. Sara Paratico - Gruppo San Donato</span><span class="g">San Donato Milanese, Milan, Italy · 2–3 October 2026</span><span class="g num">07 / 14</span></footer>
   <aside class="notes">
     [DRAFT — Sara] Extraction needs a target vocabulary — that's the ontology. Tier 1 holds the eleven arrhythmological categories that matter most for our research; Tier 2 holds five structural conditions. The order of the rules is itself clinical knowledge: Brugada patterns are tested before TV, because "substrato per TV" often appears in Brugada reports and would otherwise mask the diagnosis.
     The ontology is versioned like software: a semantic version for the pattern library, stamped on every extracted row. When we add a synonym or fix a rule, the change is traceable — and the data can be rebuilt.
-    Sara: review the category list and the Italian labels before final.
+    And this is the output of the whole work: reading a letter writes structured, quantitative values back onto the records that describe the procedures and implants it contains — and those records enter the warehouse generation exactly as if the clinicians had typed them during the visits. Text becomes data, indistinguishable from bedside data entry.
+    Sara: review the category list and the Italian labels before final. Labels are now English-first (audience is mostly foreign) — please confirm the EN terms, especially PSVT as the umbrella for WPW/TPSV and AT/AVNRT for TA/TRN.
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