<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Lee Consulting Associates]]></title><description><![CDATA[Our technology firm ensures quality is the foundation for all call center, data analytics, and data entry solutions.]]></description><link>https://www.leeconsultingassociates.com/work</link><generator>RSS for Node</generator><lastBuildDate>Wed, 16 Sep 2026 00:41:17 GMT</lastBuildDate><atom:link href="https://www.leeconsultingassociates.com/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Seniors Access to Healthcare in Maryland: Understanding Medicare]]></title><description><![CDATA[For older adults in Maryland, Medicare provides an essential foundation for accessing healthcare, but having Medicare coverage does not always mean that healthcare is equally accessible. Seniors may still face challenges related to provider networks, transportation, prescription costs, plan changes, healthcare navigation, and access to providers—particularly when they have complex medical needs or live outside major metropolitan areas]]></description><link>https://www.leeconsultingassociates.com/post/seniors-access-to-healthcare-in-maryland-understanding-medicare</link><guid isPermaLink="false">6aa9b0c39fd799d4f308e6f5</guid><pubDate>Tue, 15 Sep 2026 20:58:07 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/472b95e67af846058a0e04462f8f75ce.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Maya Lindsay</dc:creator></item><item><title><![CDATA[Modernizing Revenue Cycle Analytics: Connecting Epic Data to Databricks]]></title><description><![CDATA[The architecture connects the technical components—Epic data, ingestion, Databricks, SQL/Python/PySpark transformations, governance, and BI—to the business outcomes that revenue cycle leaders care about]]></description><link>https://www.leeconsultingassociates.com/post/modernizing-revenue-cycle-analytics-connecting-epic-data-to-databricks</link><guid isPermaLink="false">6aa9b2669453ffbd4126816c</guid><pubDate>Wed, 01 Apr 2026 04:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/e55b24370d50452987eb5c86568e1d3b.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Maya Lindsay</dc:creator></item></channel></rss>