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	<title>Definition:Claims technology - Revision history</title>
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	<updated>2026-06-13T21:49:28Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://www.insurerbrain.com/w/index.php?title=Definition:Claims_technology&amp;diff=8721&amp;oldid=prev</id>
		<title>PlumBot: Bot: Creating new article from JSON</title>
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		<updated>2026-03-11T04:31:35Z</updated>

		<summary type="html">&lt;p&gt;Bot: Creating new article from JSON&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;💻 &amp;#039;&amp;#039;&amp;#039;Claims technology&amp;#039;&amp;#039;&amp;#039; encompasses the digital tools, platforms, and systems that [[Definition:Insurance carrier | insurers]], [[Definition:Third-party administrator (TPA) | TPAs]], and [[Definition:Managing general agent (MGA) | MGAs]] deploy to automate, accelerate, and improve the [[Definition:Claims process | claims process]]. From [[Definition:Claims management system | claims management systems]] that serve as the operational backbone to [[Definition:Artificial intelligence (AI) | AI]]-powered damage assessment tools and [[Definition:Fraud detection | fraud detection]] engines, claims technology has become one of the most active areas of investment across both incumbent carriers and the [[Definition:Insurtech | insurtech]] ecosystem.&lt;br /&gt;
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🔧 The technology stack supporting modern claims operations is broad and increasingly interconnected. At the foundation sits the claims management system — a workflow engine that tracks each claim from [[Definition:First notice of loss (FNOL) | FNOL]] through closure. Layered on top are specialized capabilities: computer vision models that assess vehicle or property damage from photographs, natural language processing tools that extract key details from adjuster notes and medical records, [[Definition:Telematics | telematics]] data feeds that reconstruct accident scenarios, and [[Definition:Robotic process automation (RPA) | robotic process automation]] bots that handle repetitive tasks like payment scheduling and [[Definition:Bordereaux | bordereaux]] generation. [[Definition:Straight-through processing (STP) | Straight-through processing]] platforms tie these components together, enabling low-complexity claims to be adjudicated and paid without human touch — sometimes in minutes.&lt;br /&gt;
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🚀 Investing in claims technology delivers returns along multiple dimensions simultaneously. Faster cycle times reduce [[Definition:Claims handling cost | handling costs]] and improve [[Definition:Claims satisfaction | policyholder satisfaction]], while advanced analytics surface [[Definition:Subrogation | subrogation]] and [[Definition:Salvage | salvage]] recoveries that might otherwise be missed. Predictive models help identify potentially fraudulent claims early in the [[Definition:Claims lifecycle | lifecycle]], protecting the [[Definition:Loss ratio (L/R) | loss ratio]]. Perhaps most strategically, the data generated by modern claims platforms feeds back into [[Definition:Underwriting | underwriting]] and [[Definition:Pricing model | pricing]] models, creating a virtuous cycle where claims insights sharpen risk selection. As the industry accelerates its digital transformation, carriers that lag in claims technology risk falling behind on cost efficiency, customer experience, and competitive positioning.&lt;br /&gt;
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&amp;#039;&amp;#039;&amp;#039;Related concepts&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
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* [[Definition:Claims management system]]&lt;br /&gt;
* [[Definition:Artificial intelligence (AI)]]&lt;br /&gt;
* [[Definition:Straight-through processing (STP)]]&lt;br /&gt;
* [[Definition:Fraud detection]]&lt;br /&gt;
* [[Definition:Robotic process automation (RPA)]]&lt;br /&gt;
* [[Definition:Insurtech]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
		<author><name>PlumBot</name></author>
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