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    <title>AI Health Index: Workforce &amp; Training changes</title>
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    <description>Material product changes at Workforce &amp; Training vendors, tracked by AI Health Index. Every entry is dated and cited to a public source.</description>
    <language>en-us</language>
    <copyright>Free to reuse with a visible link to aihealthindex.io. Terms: https://aihealthindex.io/use-this-data</copyright>
    <lastBuildDate>Mon, 24 Aug 2026 12:00:00 GMT</lastBuildDate>
    <ttl>720</ttl>
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      <url>https://aihealthindex.io/icon-192.png</url>
      <title>AI Health Index: Workforce &amp; Training changes</title>
      <link>https://aihealthindex.io/categories/workforce-and-training</link>
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      <title>Medallion shipped three platform capabilities at once.</title>
      <link>https://aihealthindex.io/changelog/medallion</link>
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      <pubDate>Mon, 24 Aug 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Healthcare Administrative Automation</category>
      <category>Workforce &amp; Training</category>
      <category>RCM &amp; Prior Auth AI</category>
      <description><![CDATA[<p>Medallion shipped three platform capabilities at once. An AI provider outreach agent now contacts stalled providers by phone, text and email to chase profile completion, taking over the follow up that credentialing coordinators normally do by hand. Provider profile auto fill populates records from NPPES, CAQH and uploaded documents instead of requiring the provider to retype what already exists in public registries. Self serve webhooks let organizations push enrollment and credentialing status changes into their own systems over API rather than polling for them.</p><p><strong>Why it matters:</strong> The bottleneck in credentialing is almost never the review itself, it is waiting on providers to return information, so an agent that does the chasing addresses the actual constraint on time to credential. The webhooks matter more than they sound: polling based integrations are what make downstream systems drift out of sync with credentialing status, and that drift is what produces billing for providers who are not yet enrolled. Buyers should ask how the outreach agent identifies itself to providers and what the escalation path is when it fails to reach someone.</p><p>Impact: High. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.medallion.co/resources/blog/extending-medallions-platform-to-take-on-even-more-of-the-work-that-shouldnt-be-manual">Vendor announcement</a></p><p>Source: <a href="https://aihealthindex.io/changelog/medallion">AI Health Index change log</a>. Free to reuse with a link back. <a href="https://aihealthindex.io/use-this-data">Terms</a>.</p>]]></description>
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      <title>MEDICAL IP: A retrospective study published in PLOS ONE validated MEDIP PRO's ability to segment orbital structures on CT imaging to assess Thyroid…</title>
      <link>https://aihealthindex.io/changelog/medical-ip</link>
      <guid isPermaLink="false">aihealthindex.io:change:6a808db25e3cc8842da0dc30</guid>
      <pubDate>Mon, 10 Aug 2026 12:00:00 GMT</pubDate>
      <category>Clinical evidence</category>
      <category>Radiology &amp; Imaging AI</category>
      <category>Workforce &amp; Training</category>
      <description><![CDATA[<p>A retrospective study published in PLOS ONE validated MEDIP PRO's ability to segment orbital structures on CT imaging to assess Thyroid Eye Disease (TED) activity. The software was used to perform semi-automatic segmentation of extraocular muscles, intraorbital fat, and lacrimal glands. The resulting quantitative metrics successfully differentiated active from inactive TED, demonstrating an area under the curve (AUC) of 0.938 when combined with clinical parameters.</p><p><strong>Why it matters:</strong> Published validation provides concrete evidence of the platform's segmentation accuracy and reliability for complex orbital anatomy. Health systems evaluating the solution can point to this study as proof of its capability to extract clinically meaningful, disease-specific biomarkers from routine imaging.</p><p>Impact: Medium. Verification: Verified. Type: Clinical evidence.</p><p>Evidence: <a href="https://doi.org/10.1371/journal.pone.0349838">Peer-reviewed publication</a></p><p>Source: <a href="https://aihealthindex.io/changelog/medical-ip">AI Health Index change log</a>. Free to reuse with a link back. <a href="https://aihealthindex.io/use-this-data">Terms</a>.</p>]]></description>
    </item>
    <item>
      <title>Wolters Kluwer expanded its generative AI solution, UpToDate Expert AI, by integrating comprehensive medication data from UpToDate Lexidrug.</title>
      <link>https://aihealthindex.io/changelog/uptodate</link>
      <guid isPermaLink="false">aihealthindex.io:change:6a7739f386781bb15a7c68de</guid>
      <pubDate>Thu, 06 Aug 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Clinical Reference &amp; Evidence</category>
      <category>Workforce &amp; Training</category>
      <description><![CDATA[<p>Wolters Kluwer expanded its generative AI solution, UpToDate Expert AI, by integrating comprehensive medication data from UpToDate Lexidrug. This enhancement allows the AI assistant to provide rigorously reviewed drug dosing and medication decision support directly within its conversational interface.</p><p><strong>Why it matters:</strong> Healthcare organizations evaluating UpToDate Expert AI can now leverage the tool for complex medication-related queries, which historically account for nearly 30 percent of clinician questions on the platform. This integration streamlines workflows by reducing the need for clinicians to switch between separate drug reference databases and the main AI assistant.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.wolterskluwer.com/en/news/wolters-kluwer-adds-uptodate-lexidrug-to-genai-powered-clinical-decision-support-uptodate-expert-ai">Vendor announcement</a></p><p>Source: <a href="https://aihealthindex.io/changelog/uptodate">AI Health Index change log</a>. Free to reuse with a link back. <a href="https://aihealthindex.io/use-this-data">Terms</a>.</p>]]></description>
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