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	<title>Definition:Electronic health records (EHR) - Revision history</title>
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	<updated>2026-04-29T12:08:42Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<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;Electronic health records (EHR)&amp;#039;&amp;#039;&amp;#039; are the digitized compilations of patient medical data — including diagnoses, medications, lab results, imaging, and treatment histories — that have become indispensable to the modern insurance ecosystem. For [[Definition:Insurance carrier | carriers]] operating in [[Definition:Health insurance | health]], [[Definition:Life insurance | life]], [[Definition:Long-term care insurance | long-term care]], and [[Definition:Workers&amp;#039; compensation insurance | workers&amp;#039; compensation]] lines, electronic health records represent both a transformative data asset and a complex compliance challenge, since accessing and using clinical information triggers obligations under [[Definition:HIPAA | HIPAA]] and state privacy laws.&lt;br /&gt;
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🔄 In practice, insurers interact with electronic health records at multiple points in the policy lifecycle. During [[Definition:Underwriting | underwriting]], carriers retrieve EHR data — often through specialized health information exchanges or aggregation vendors — to evaluate an applicant&amp;#039;s risk profile without relying solely on self-reported questionnaires or slow-moving [[Definition:Attending physician statement (APS) | attending physician statements]]. At the [[Definition:Claims | claims]] stage, adjusters and clinical reviewers reference EHR documentation to confirm the medical necessity of treatments, ensure consistency between billed services and documented care, and flag anomalies that may suggest [[Definition:Insurance fraud | fraud]] or billing abuse. Increasingly, [[Definition:Predictive analytics | predictive analytics]] platforms ingest EHR-sourced data to build risk stratification models, identify high-cost claimants early, and support [[Definition:Care management | care management]] interventions that can improve outcomes while reducing [[Definition:Incurred loss | incurred losses]].&lt;br /&gt;
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🌐 The industry-wide push toward EHR interoperability — driven by regulatory mandates such as the 21st Century Cures Act and technical standards like HL7 FHIR — is steadily lowering the friction of data exchange between providers and insurers. [[Definition:Insurtech | Insurtech]] companies have seized this opportunity, building middleware and analytics layers that translate raw clinical data into actionable insurance insights. For [[Definition:Managed care organization (MCO) | managed care organizations]] negotiating value-based contracts with provider networks, real-time access to electronic health records is becoming foundational to tracking quality metrics and managing [[Definition:Medical loss ratio (MLR) | medical loss ratios]]. As data accessibility improves, the competitive advantage will increasingly belong to carriers that combine EHR integration with responsible [[Definition:Data governance | data governance]] and advanced analytical capabilities.&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:Electronic health record (EHR)]]&lt;br /&gt;
* [[Definition:HIPAA]]&lt;br /&gt;
* [[Definition:Predictive analytics]]&lt;br /&gt;
* [[Definition:Medical loss ratio (MLR)]]&lt;br /&gt;
* [[Definition:Care management]]&lt;br /&gt;
* [[Definition:Data governance]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
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