<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Proxy-Variables on AI and Society Course</title><link>https://msucerl.org/cmse101/tags/proxy-variables/</link><description>Recent content in Proxy-Variables on AI and Society Course</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 21 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://msucerl.org/cmse101/tags/proxy-variables/index.xml" rel="self" type="application/rss+xml"/><item><title>2.2 Health Insurance Risk Scoring</title><link>https://msucerl.org/cmse101/use-cases/2-2-health-insurance-risk-scoring/</link><pubDate>Thu, 21 May 2026 00:00:00 +0000</pubDate><guid>https://msucerl.org/cmse101/use-cases/2-2-health-insurance-risk-scoring/</guid><description>&lt;h1 id="health-insurance-risk-scoring--care-management"&gt;Health Insurance Risk Scoring &amp;amp; Care Management&lt;/h1&gt;
&lt;h2 id="context--systems-architecture"&gt;Context &amp;amp; Systems Architecture&lt;/h2&gt;
&lt;p&gt;Commercial health insurance companies and integrated health networks rely heavily on predictive scoring algorithms to manage large patient populations. These tools generate a &amp;ldquo;risk score&amp;rdquo; for each patient to identify individuals with complex, chronic needs for enrollment in high-risk care management programs. These programs grant patients access to dedicated nursing staff, home health visits, and prioritized primary care appointments to prevent sudden hospitalization.&lt;/p&gt;</description></item></channel></rss>