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	<title>Definition:Electronic health record - Revision history</title>
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	<updated>2026-05-04T06:58:32Z</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:Electronic_health_record&amp;diff=14500&amp;oldid=prev</id>
		<title>PlumBot: Bot: Creating new article from JSON</title>
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		<updated>2026-03-14T16:02:58Z</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;Electronic health record&amp;#039;&amp;#039;&amp;#039; (EHR) is a digital version of a patient&amp;#039;s medical history maintained by healthcare providers, and within the insurance industry it serves as a critical data source for [[Definition:Underwriting | underwriting]], [[Definition:Claims management | claims adjudication]], and [[Definition:Fraud detection | fraud detection]] across [[Definition:Health insurance | health]], [[Definition:Life insurance | life]], and [[Definition:Disability insurance | disability]] lines of business. Unlike paper medical records that required manual retrieval and review — often taking weeks — EHRs can be accessed and transmitted electronically, enabling insurers to obtain structured clinical data including diagnoses, medications, laboratory results, treatment histories, and provider notes through authorized data exchange channels. The availability of EHR data has fundamentally reshaped how insurers assess individual health risk and process claims involving medical information.&lt;br /&gt;
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🔍 Insurers access EHR data through several pathways, depending on the market and regulatory environment. In the United States, health information exchange networks and third-party data aggregators allow [[Definition:Life insurance | life]] and [[Definition:Health insurance | health]] underwriters to retrieve applicant medical records electronically — often in days rather than the weeks required for traditional attending physician statements — dramatically accelerating the [[Definition:Underwriting process | underwriting process]]. Some [[Definition:Insurtech | insurtech]] carriers have built underwriting platforms that ingest structured EHR data directly, applying [[Definition:Predictive analytics | predictive analytics]] and [[Definition:Machine learning | machine learning]] models to assess mortality or morbidity risk with minimal human intervention. In claims operations, EHR integration enables faster validation of treatment-related claims, supports [[Definition:Utilization review | utilization review]] programs, and helps identify inconsistencies between reported conditions and clinical records that may indicate [[Definition:Insurance fraud | fraud]]. The extent of EHR adoption and insurer access varies globally: the United States, United Kingdom (through NHS Digital), and Nordic countries have relatively mature digital health record ecosystems, while markets in parts of Asia, Africa, and Latin America are at earlier stages of digitization.&lt;br /&gt;
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⚖️ The use of EHR data in insurance raises significant privacy, consent, and regulatory considerations that carriers must navigate carefully. In the United States, the Health Insurance Portability and Accountability Act (HIPAA) governs how [[Definition:Protected health information (PHI) | protected health information]] can be used and disclosed, requiring explicit authorization from individuals before their records are shared with insurers for underwriting purposes. The EU&amp;#039;s General Data Protection Regulation (GDPR) imposes similarly stringent requirements around health data processing, including the need for explicit consent and purpose limitation. Beyond compliance, the ethical dimensions are substantial: concerns about [[Definition:Algorithmic bias | algorithmic bias]] in models trained on EHR data, the potential for adverse selection dynamics if certain populations are systematically disadvantaged by data-driven underwriting, and the tension between faster risk assessment and patient privacy all demand thoughtful governance frameworks. For insurers, the strategic imperative is clear — EHR-enabled underwriting and claims processing offer material efficiency gains and more accurate [[Definition:Risk assessment | risk assessment]] — but realizing these benefits requires robust data governance, transparent consent mechanisms, and ongoing engagement with regulators and consumer advocates.&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:Underwriting]]&lt;br /&gt;
* [[Definition:Health insurance]]&lt;br /&gt;
* [[Definition:Predictive analytics]]&lt;br /&gt;
* [[Definition:Insurance fraud]]&lt;br /&gt;
* [[Definition:Life insurance underwriting]]&lt;br /&gt;
* [[Definition:Data privacy]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
		<author><name>PlumBot</name></author>
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