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	<title>Deidentification &#8211; Santeware | Engineering Healthcare Data</title>
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		<title>De-Identification of Healthcare Data: Safeguarding Privacy and Advancing Research</title>
		<link>https://santeware.com/de-identification-of-healthcare-data-safeguarding-privacy-and-advancing-research/</link>
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		<pubDate>Tue, 30 Apr 2024 14:32:20 +0000</pubDate>
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		<category><![CDATA[Algorithms]]></category>
		<category><![CDATA[data-driven]]></category>
		<category><![CDATA[Deidentification]]></category>
		<category><![CDATA[Privacy]]></category>
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					<description><![CDATA[In an era where data powers innovation and drives progress, the healthcare sector stands out as a prime beneficiary and a crucial steward of vast amounts of sensitive information. However, with great data comes great responsibility, especially concerning privacy and security. De-identification of healthcare data has emerged as a pivotal strategy to balance the need [&#8230;]]]></description>
		
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