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    <title>AI Health Index: Hospital &amp; Unit Operations changes</title>
    <link>https://aihealthindex.io/categories/hospital-operations</link>
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    <description>Material product changes at Hospital &amp; Unit Operations 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>Tue, 22 Sep 2026 12:00:00 GMT</lastBuildDate>
    <ttl>720</ttl>
    <image>
      <url>https://aihealthindex.io/icon-192.png</url>
      <title>AI Health Index: Hospital &amp; Unit Operations changes</title>
      <link>https://aihealthindex.io/categories/hospital-operations</link>
    </image>
    <item>
      <title>Cynerio's medical device security now ships inside Axonius for Healthcare, and cynerio.com redirects there.</title>
      <link>https://aihealthindex.io/changelog/cynerio</link>
      <guid isPermaLink="false">aihealthindex.io:change:6ab90c10ee3c2977980e653b</guid>
      <pubDate>Tue, 22 Sep 2026 12:00:00 GMT</pubDate>
      <category>EHR / interoperability</category>
      <category>Healthcare Cybersecurity</category>
      <category>Hospital &amp; Unit Operations</category>
      <description><![CDATA[<p>Cynerio's medical device security now ships inside Axonius for Healthcare, and cynerio.com redirects there. Axonius release 9.0.7 lets the TRIMEDX adapter connect through the TRIMEDX Client Inventory (v5) API alongside the older MDSP Inventory API, and adds a Network Inspectors page to the Cyber-Physical Assets module for provisioning and tracking virtual network inspector appliances by site.</p><p><strong>Why it matters:</strong> Health systems whose clinical engineering inventory runs through TRIMEDX can connect on its current API and keep biomedical asset and security records in one inventory. The inspector page is an administrative convenience for sites using passive network sensors.</p><p>Impact: Low. Verification: Verified. Type: EHR / interoperability.</p><p>Evidence: <a href="https://docs.axonius.com/changelog/release-notes-907">Vendor documentation</a></p><p>Source: <a href="https://aihealthindex.io/changelog/cynerio">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>Alcidion: Miya Precision 7.11.0 introduces a three tier restricted access model for patient records: full access, break glass access that requires…</title>
      <link>https://aihealthindex.io/changelog/alcidion</link>
      <guid isPermaLink="false">aihealthindex.io:change:6ab90c10ee3c2977980e6539</guid>
      <pubDate>Mon, 21 Sep 2026 12:00:00 GMT</pubDate>
      <category>Security / compliance</category>
      <category>Hospital &amp; Unit Operations</category>
      <category>Clinical Decision Support</category>
      <category>Health System AI Platforms</category>
      <description><![CDATA[<p>Miya Precision 7.11.0 introduces a three tier restricted access model for patient records: full access, break glass access that requires justification via an individual PIN with audit tracking, and no access. Alcidion states the design supports NHS safeguarding principles.</p><p><strong>Why it matters:</strong> Privacy and information governance teams get record level access control with an audited break glass path, which matters for restricted and safeguarding sensitive patients.</p><p>Impact: Low. Verification: Verified. Type: Security / compliance.</p><p>Evidence: <a href="https://www.alcidion.com/news/miya-precision-7-11-0/">Vendor documentation</a></p><p>Source: <a href="https://aihealthindex.io/changelog/alcidion">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>Alcidion's Miya Precision 7.11.0 adds a native inpatient admissions workflow, completing its admission, transfer, leave and discharge set…</title>
      <link>https://aihealthindex.io/changelog/alcidion</link>
      <guid isPermaLink="false">aihealthindex.io:change:6ab90c10ee3c2977980e6538</guid>
      <pubDate>Mon, 21 Sep 2026 12:00:00 GMT</pubDate>
      <category>EHR / interoperability</category>
      <category>Hospital &amp; Unit Operations</category>
      <category>Clinical Decision Support</category>
      <category>Health System AI Platforms</category>
      <description><![CDATA[<p>Alcidion's Miya Precision 7.11.0 adds a native inpatient admissions workflow, completing its admission, transfer, leave and discharge set, with one way or two way integration to the Patient Administration System so clinicians no longer need to open the PAS. The release also adds Miya Vitals, for capturing observations on charts defined per care area such as ICU, ED and general wards with validation checks and warning thresholds, and Dynamic Fluid Balance Management, which calculates fluid restriction limits from patient weight.</p><p><strong>Why it matters:</strong> Trusts running a separate PAS can manage the full inpatient encounter in Miya Precision while keeping the PAS in sync, which cuts double entry. Vitals capture is manual entry only in this release; Alcidion states capture from bedside monitors is planned for a future release.</p><p>Impact: Medium. Verification: Verified. Type: EHR / interoperability.</p><p>Evidence: <a href="https://www.alcidion.com/news/miya-precision-7-11-0/">Vendor documentation</a></p><p>Source: <a href="https://aihealthindex.io/changelog/alcidion">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>DeepHealth received FDA 510(k) clearance for Chest XRay, a computer aided detection tool built on a foundation model that detects and…</title>
      <link>https://aihealthindex.io/changelog/deephealth</link>
      <guid isPermaLink="false">aihealthindex.io:change:6aaeaddaaaa02078636c9caa</guid>
      <pubDate>Fri, 18 Sep 2026 12:00:00 GMT</pubDate>
      <category>Regulatory / FDA</category>
      <category>Radiology &amp; Imaging AI</category>
      <category>Health System AI Platforms</category>
      <category>Hospital &amp; Unit Operations</category>
      <description><![CDATA[<p>DeepHealth received FDA 510(k) clearance for Chest XRay, a computer aided detection tool built on a foundation model that detects and localizes abnormalities on chest radiographs. It is the next version of the technology DeepHealth acquired with Gleamer, it is commercially available in the US now, and existing customers are eligible for the update.</p><p><strong>Why it matters:</strong> A foundation model clearance matters because one model covers many findings, rather than one narrow algorithm per finding. Radiology groups should ask exactly which findings the 510(k) covers, since marketing for foundation models tends to run ahead of the cleared indications.</p><p>Impact: High. Verification: Partially Verified. Type: Regulatory / FDA.</p><p>Evidence: <a href="https://www.itnonline.com/content/fda-clears-chest-x-ray-solution-deephealth">Trade press</a></p><p>Source: <a href="https://aihealthindex.io/changelog/deephealth">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>LeanTaaS acquired Aidin and is folding discharge readiness intelligence and post acute placement into iQueue for Inpatient Flow, extending…</title>
      <link>https://aihealthindex.io/changelog/leantaas</link>
      <guid isPermaLink="false">aihealthindex.io:change:6a9c312c04c538181acf1b3b</guid>
      <pubDate>Tue, 01 Sep 2026 12:00:00 GMT</pubDate>
      <category>Acquisition / corporate</category>
      <category>Hospital &amp; Unit Operations</category>
      <category>Health System AI Platforms</category>
      <description><![CDATA[<p>LeanTaaS acquired Aidin and is folding discharge readiness intelligence and post acute placement into iQueue for Inpatient Flow, extending the platform from admission through transition out.</p><p><strong>Why it matters:</strong> LeanTaaS has sold capacity optimization inside the hospital walls for a decade, and the constraint it kept hitting was a bed that cannot be freed because a post acute placement has not been arranged. Buying the placement workflow rather than integrating with one is a statement about where it thinks the remaining length of stay savings are.</p><p>Impact: High. Verification: Verified. Type: Acquisition / corporate.</p><p>Evidence: <a href="https://leantaas.com/press-releases/leantaas-acquires-aidin-to-orchestrate-patient-flow-from-admission-through-transition/">Vendor announcement</a></p><p>Source: <a href="https://aihealthindex.io/changelog/leantaas">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>LeanTaaS acquired Aidin and will connect its care transition workflows to iQueue for Inpatient Flow.</title>
      <link>https://aihealthindex.io/changelog/aidin</link>
      <guid isPermaLink="false">aihealthindex.io:change:6a9c312c04c538181acf1b38</guid>
      <pubDate>Tue, 01 Sep 2026 12:00:00 GMT</pubDate>
      <category>Acquisition / corporate</category>
      <category>Healthcare Administrative Automation</category>
      <category>Hospital &amp; Unit Operations</category>
      <category>RCM &amp; Prior Auth AI</category>
      <description><![CDATA[<p>LeanTaaS acquired Aidin and will connect its care transition workflows to iQueue for Inpatient Flow. Aidin's post acute placement workflow now sits downstream of LeanTaaS's discharge readiness intelligence rather than alongside it.</p><p><strong>Why it matters:</strong> Anyone currently evaluating Aidin is now evaluating LeanTaaS, with the contract, roadmap and support relationship that implies. The combined product is a bet that discharge delays are a capacity problem and a placement problem at the same time, which is true in most hospitals and is why the two have historically been bought separately and blamed on each other.</p><p>Impact: High. Verification: Verified. Type: Acquisition / corporate.</p><p>Evidence: <a href="https://leantaas.com/press-releases/leantaas-acquires-aidin-to-orchestrate-patient-flow-from-admission-through-transition/">Vendor announcement</a></p><p>Source: <a href="https://aihealthindex.io/changelog/aidin">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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