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	<title>Symposium &#8211; KIKLO</title>
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	<title>Symposium &#8211; KIKLO</title>
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		<title>KIKLO participates at OHDSI Europe Symposium 2026</title>
		<link>https://kiklo.eu/ohdsi-europe-symposium-2026/</link>
		
		<dc:creator><![CDATA[kiklo_admin]]></dc:creator>
		<pubDate>Sun, 26 Apr 2026 08:03:09 +0000</pubDate>
				<category><![CDATA[Conferences]]></category>
		<category><![CDATA[ODHSI]]></category>
		<category><![CDATA[Prepare Project]]></category>
		<category><![CDATA[Symposium]]></category>
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			<p>KIKLO participated in the <a href="https://www.ohdsi-europe.org/events/annual-symposium">OHDSI Europe </a>2026 Symposium, which took place on April 18-20 in Rotterdam, the Netherlands, with 375 participants, 130 approved posters, and 15 software demos.</p>
<p><a href="https://www.ohdsi-europe.org/events-past-events-symposium-2026" target="_blank" rel="noopener">Official website and info of the event</a></p>
<p>The participation of the <a href="https://prepare-rehab.eu/" target="_blank" rel="noopener">PREPARE</a> team was strong, with 3 posters:</p>
<ol>
<li>“Experiences with OMOPping Rehabilitation Data: A Unified ETL Strategy for Nine Distinct Clinical Datasets”,</li>
<li>“PREPARE for Precision: Patient-level prediction models for nonsurgical thumb base osteoarthritis treatment”,</li>
<li>“An Iterative Annotation Pipeline for Building Clinical Datasets and Training Information Extraction Models: The PREPARE Project”</li>
</ol>
<p>and a software demonstration</p>
<ul>
<li>“A Semi-Automated Pipeline for Extracting and Standardizing Clinical Concepts from Unstructured Medical Records”.</li>
</ul>
<p>Together with the PREPARE team members, we had the opportunity to participate in the conference and actively contribute by presenting three posters that highlight different facets of our project&#8217;s ongoing work with Petros Patias, Ruud Selles, Erik Calcina, Janssen, Esther Janssen, Krijn Polder, Lisa Hoogendam.</p>
<p>From research design to implementation and results, each poster reflected a distinct perspective of our collective effort. Engaging with the community, exchanging ideas, and receiving valuable feedback made this experience especially meaningful.</p>
<p>&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8211;</p>
<p><strong>1. Experiences with OMOPping Rehabilitation Data: A Unified ETL Strategy for Nine Distinct Clinical Datasets </strong></p>
<p>Petros Patias<sup>1</sup>, Charalampos Georgiadis<sup>1</sup>, Themistoklis Roustanis<sup>1</sup>, George-Robert Patias<sup>2</sup>, Alexandros Zacharegas<sup>2</sup> and the PREPARE Project Group</p>
<p><sup>1</sup>Laboratory of Photogrammetry &amp; Remote Sensing, The Aristotle University of Thessaloniki, Greece</p>
<p><sup>2</sup>KIKLO &#8211; Geospatial Information Technologies, Greece</p>
<p>&nbsp;</p>
<p><strong>2. An Iterative Annotation Pipeline for Building Clinical Datasets and Training Information Extraction Models: The PREPARE Project </strong></p>
<p>Erik Calcina<sup>1,2</sup>,*, Erik Novak<sup>1,2</sup>, Lucia Pepa<sup>3</sup>, Maria Gabriella Ceravolo<sup>3 </sup>and the PREPARE Project Group</p>
<p><sup>1</sup>Department for Artificial Intelligence, Jozef Stefan Institute, Ljubljana, Slovenia</p>
<p><sup>2</sup>Jozef Stefan International Postgraduate School, Ljubljana, Slovenia</p>
<p><sup>3</sup>Marche Polytechnic University, Marche, Italy</p>
<p>&nbsp;</p>
<p><strong>3. PREPARE for Precision: Patient-level prediction models for nonsurgical thumb base osteoarthritis treatment </strong></p>
<p>Krijn Polder<sup>1,2</sup>, Lisa Hoogendam<sup>1,2</sup>, Margarita Grammatikopoulou<sup>3</sup>, Vasilis Alepopoulos<sup>3</sup>, Giorgos Giannios<sup>3</sup>, Spiros Nikolopoulos<sup>3</sup>, Ruud Selles<sup>1,2</sup>, and the PREPARE Project Group</p>
<p><sup>1</sup> Department of Rehabilitation Medicine, Erasmus Medical Centre, Rotterdam, The Netherlands</p>
<p><sup>2 </sup>Department of Plastic, Reconstructive, and Hand Surgery, Erasmus Medical Centre, Rotterdam, The Netherlands</p>
<p><sup>3</sup> Information Technologies Institute, Centre for Research and Technology Hellas (CERTH-ITI), Thessaloniki, Greece</p>
<p>&nbsp;</p>
<p>4. <strong>A Semi-Automated Pipeline for Extracting and Standardizing Clinical Concepts from Unstructured Medical Records </strong></p>
<p>Tinkara Meterc<sup>1</sup>*, Erik Calcina<strong><sup>1,2</sup></strong>, Nadiia Shpanko<sup>1</sup>, Nina Kokalj<sup>1</sup>, Erik Novak<strong><sup>1,2</sup></strong> and the PREPARE Project Group</p>
<p><sup>1</sup>Department for Artificial Intelligence, Jozef Stefan Institute, Ljubljana, Slovenia</p>
<p><sup>2</sup>Jozef Stefan International Postgraduate School, Ljubljana, Slovenia</p>

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