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	<title>Definition:Human error - Revision history</title>
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	<updated>2026-05-02T21:15:17Z</updated>
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		<id>https://www.insurerbrain.com/w/index.php?title=Definition:Human_error&amp;diff=19904&amp;oldid=prev</id>
		<title>PlumBot: Bot: Creating new article from JSON</title>
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		<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;Human error&amp;#039;&amp;#039;&amp;#039; in the insurance context refers to unintentional mistakes, oversights, or failures in judgment made by individuals that lead to [[Definition:Loss | losses]], [[Definition:Claims | claims]], or operational failures — serving simultaneously as a major category of insured peril and a significant source of risk within insurance operations themselves. Across virtually every line of [[Definition:Commercial lines insurance | commercial]] and [[Definition:Personal lines insurance | personal lines]] insurance, human error is an underlying driver of losses: a worker&amp;#039;s misstep triggers a [[Definition:Workers&amp;#039; compensation insurance | workers&amp;#039; compensation]] claim, a software developer&amp;#039;s coding mistake causes a [[Definition:Technology errors and omissions insurance | technology E&amp;amp;O]] loss, a surgeon&amp;#039;s lapse results in a [[Definition:Healthcare professional liability insurance | medical malpractice]] suit, or a truck driver&amp;#039;s momentary inattention produces a [[Definition:Motor insurance | motor]] accident. Rather than a discrete product, human error is a pervasive risk factor that shapes [[Definition:Underwriting | underwriting]] assumptions, [[Definition:Loss modeling | loss models]], and [[Definition:Risk management | risk management]] strategies across the industry.&lt;br /&gt;
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🔍 Insurers account for human error through multiple mechanisms. In [[Definition:Pricing | pricing]] and [[Definition:Actuarial science | actuarial]] modeling, loss frequency and severity assumptions inherently embed expectations about human fallibility — historical [[Definition:Loss data | loss data]] reflects the aggregate outcome of countless individual errors over time. [[Definition:Risk engineering | Risk engineers]] assess organizational safeguards such as training programs, standard operating procedures, supervision protocols, and automation that can reduce the likelihood and impact of human mistakes, and the presence or absence of these controls directly influences [[Definition:Underwriting | underwriting]] decisions and [[Definition:Premium | premium]] levels. In [[Definition:Cyber insurance | cyber insurance]], human error — particularly through [[Definition:Social engineering fraud | social engineering]], phishing susceptibility, and misconfiguration of systems — is consistently identified as the leading cause of security breaches, making employee awareness programs a key factor in risk assessment. Within insurance operations, human error in [[Definition:Claims management | claims handling]], [[Definition:Policy administration system | policy issuance]], and [[Definition:Underwriting | underwriting]] can lead to coverage disputes, regulatory penalties, and [[Definition:Errors and omissions insurance | E&amp;amp;O claims]] against the insurer or [[Definition:Insurance broker | broker]] itself.&lt;br /&gt;
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💡 Understanding human error as a systemic risk rather than an isolated anomaly is essential for modern insurance practice. The industry&amp;#039;s approach has evolved from treating errors as purely random events toward recognizing patterns rooted in organizational design, cognitive biases, fatigue, inadequate training, and poorly designed workflows. This shift has practical consequences: [[Definition:Loss prevention | loss prevention]] services now frequently incorporate behavioral science, and [[Definition:Insurtech | insurtech]] solutions targeting human error — such as [[Definition:Telematics | telematics]] for driver behavior, automated compliance checking in financial services, and AI-assisted diagnostic support in healthcare — represent a growing intersection between [[Definition:Risk mitigation | risk mitigation]] and technology innovation. For insurers, reducing the incidence and impact of human error among their own staff through automation of repetitive tasks, [[Definition:Straight-through processing (STP) | straight-through processing]], and robust quality assurance protocols is equally critical, as operational mistakes can erode margins, damage client relationships, and attract [[Definition:Regulatory compliance | regulatory]] scrutiny.&lt;br /&gt;
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&amp;#039;&amp;#039;&amp;#039;Related concepts:&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
{{Div col|colwidth=20em}}&lt;br /&gt;
* [[Definition:Risk management]]&lt;br /&gt;
* [[Definition:Errors and omissions insurance]]&lt;br /&gt;
* [[Definition:Cyber insurance]]&lt;br /&gt;
* [[Definition:Risk engineering]]&lt;br /&gt;
* [[Definition:Loss prevention]]&lt;br /&gt;
* [[Definition:Operational risk]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
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