<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Privacy on phiz</title><link>https://phiz.ca/tags/privacy/</link><description>Recent content in Privacy on phiz</description><generator>Hugo</generator><language>en</language><copyright>Powered by [Wellington-Dufferin-Guelph Public Health](https://wdgpublichealth.ca/)</copyright><lastBuildDate>Tue, 21 Jul 2026 00:00:00 -0400</lastBuildDate><atom:link href="https://phiz.ca/tags/privacy/index.xml" rel="self" type="application/rss+xml"/><item><title>ISPA Email Campaign: Automating Immunization Notice Sending</title><link>https://phiz.ca/posts/2026-07-email-notices/</link><pubDate>Tue, 21 Jul 2026 00:00:00 -0400</pubDate><guid>https://phiz.ca/posts/2026-07-email-notices/</guid><description/></item><item><title>AI Scribes in Public Health: Reimagining Workflows Around Care</title><link>https://phiz.ca/posts/2026-04-ai-scribe/</link><pubDate>Tue, 28 Apr 2026 00:00:00 -0400</pubDate><guid>https://phiz.ca/posts/2026-04-ai-scribe/</guid><description>&lt;h2 id="introduction" class="relative group">Introduction &lt;span class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100">&lt;a class="group-hover:text-primary-300 dark:group-hover:text-neutral-700" style="text-decoration-line: none !important;" href="#introduction" aria-label="Anchor">#&lt;/a>&lt;/span>&lt;/h2>&lt;p>If you&amp;rsquo;ve worked in public health, you already know this feeling.&lt;/p>
&lt;p>A single client interaction rarely stays in one place. Notes are written, then rewritten. Information is entered into one EMR (Electronic Medical Record) system, then entered again into another (e.g., iPHIS). Investigation forms, whether developed by Public Health Ontario (PHO) or by local public health units for specific diseases, must also be completed. What begins as a conversation can become a series of fragmented entries across platforms, pulling staff time and attention away from listening, care planning, and supporting people and communities.&lt;/p>
&lt;p>AI scribes can help shift that attention back.&lt;/p></description></item><item><title>Power BI Public Publishing: Best Practices &amp; Security Considerations</title><link>https://phiz.ca/posts/2026-01-power-bi-best-practices/</link><pubDate>Mon, 19 Jan 2026 00:00:00 -0500</pubDate><guid>https://phiz.ca/posts/2026-01-power-bi-best-practices/</guid><description>&lt;p>Power BI has become a foundational analytics platform for public health units, enabling teams to explore complex datasets, uncover trends, and communicate insights to a wide range of audiences. From disease surveillance dashboards to program performance monitoring, its ability to translate data into clear, interactive visuals has made it an indispensable tool for evidence-informed decision-making.&lt;/p>
&lt;p>As public health organizations increasingly emphasize transparency and public reporting, the ability to share insights broadly can be both powerful and risky. Tools that make data easy to publish can also make it easy to share more than intended. Without careful governance and disciplined report design, well-intentioned public reporting can unintentionally expose sensitive or protected information.&lt;/p>
&lt;p>This post outlines key best practices and security considerations for using Power BI&amp;rsquo;s public publishing capabilities responsibly, with a focus on ensuring that public-facing reports remain both informative and safe.&lt;/p></description></item><item><title>Named Entity Recognition for Redaction &amp; Warning</title><link>https://phiz.ca/pilots/named-entity-recognition-redaction/</link><pubDate>Mon, 05 Feb 2024 00:00:00 -0500</pubDate><guid>https://phiz.ca/pilots/named-entity-recognition-redaction/</guid><description/></item></channel></rss>