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    <title>AI Health Index: Remote Monitoring &amp; Chronic Care changes</title>
    <link>https://aihealthindex.io/categories/remote-monitoring</link>
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    <description>Material product changes at Remote Monitoring &amp; Chronic Care 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, 15 Sep 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: Remote Monitoring &amp; Chronic Care changes</title>
      <link>https://aihealthindex.io/categories/remote-monitoring</link>
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    <item>
      <title>AliveCor launched KardiaACCESS, its program under the CMS ACCESS Model, the 10 year Medicare initiative for technology supported chronic…</title>
      <link>https://aihealthindex.io/changelog/alivecor</link>
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      <pubDate>Tue, 15 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Remote Monitoring &amp; Chronic Care</category>
      <category>Diagnostics &amp; Genomics</category>
      <description><![CDATA[<p>AliveCor launched KardiaACCESS, its program under the CMS ACCESS Model, the 10 year Medicare initiative for technology supported chronic care. Eligible Original Medicare beneficiaries get clinician guided care and AliveCor's connected devices for managing blood pressure, diabetes and heart health, at no out of pocket cost.</p><p><strong>Why it matters:</strong> This is AliveCor becoming a care provider under Medicare, not only a device maker. Clinicians referring patients should understand who is accountable for the outcomes ACCESS pays on, and how AliveCor's clinicians coordinate with the patient's own doctor.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.globenewswire.com/news-release/2026/09/15/3362311/0/en/alivecor-launches-kardiaaccess-a-medicare-covered-program-built-to-improve-blood-pressure-diabetes-and-heart-health.html">Vendor announcement</a></p><p>Source: <a href="https://aihealthindex.io/changelog/alivecor">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>Canary Speech: Canary Ambient for Physicians is generally available inside Microsoft Dragon Copilot, listed on the Microsoft Marketplace as part of the…</title>
      <link>https://aihealthindex.io/changelog/canary-speech</link>
      <guid isPermaLink="false">aihealthindex.io:change:6aa5b27795f1c7683c18cf6b</guid>
      <pubDate>Fri, 04 Sep 2026 12:00:00 GMT</pubDate>
      <category>EHR / interoperability</category>
      <category>Behavioral Health AI</category>
      <category>Clinical Decision Support</category>
      <category>Remote Monitoring &amp; Chronic Care</category>
      <description><![CDATA[<p>Canary Ambient for Physicians is generally available inside Microsoft Dragon Copilot, listed on the Microsoft Marketplace as part of the Dragon Copilot AI Apps and Agents program Microsoft opened on 21 August. Inside the Dragon workflow, Canary analyses the acoustic and linguistic properties of the recorded encounter to surface screening signals for mild cognitive impairment and Alzheimer's disease (Canary Cognitive) and for depression and anxiety (Canary Behavioral), with no separate application or added step during the visit. Canary describes the output as clinical decision support for a clinician to interpret, not a diagnosis, and states that Marketplace listing is not self service: enablement still goes through Canary for licensing and deployment.</p><p><strong>Why it matters:</strong> The change is distribution, not the model: a health system already on Dragon Copilot can now procure and deploy voice biomarker screening through a channel its IT and legal teams have already approved, which is the step that has kept this category in pilots. The questions Canary itself says to ask are the right ones, and they belong in the contract: intended use, patient consent for biomarker analysis, audio retention and deletion, whether encounter audio trains vendor models, and performance across accent, age and language.</p><p>Impact: High. Verification: Verified. Type: EHR / interoperability.</p><p>Evidence: <a href="https://canaryspeech.com/blog/canary-ambient-now-available-in-dragon-copilot/">Vendor announcement</a></p><p>Source: <a href="https://aihealthindex.io/changelog/canary-speech">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>BrainCheck added BrainCheck Screen, a pre screening tool that identifies which patients need fuller cognitive testing.</title>
      <link>https://aihealthindex.io/changelog/braincheck</link>
      <guid isPermaLink="false">aihealthindex.io:change:6a9c312c04c538181acf1b40</guid>
      <pubDate>Thu, 03 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Clinical Decision Support</category>
      <category>Behavioral Health AI</category>
      <category>Remote Monitoring &amp; Chronic Care</category>
      <description><![CDATA[<p>BrainCheck added BrainCheck Screen, a pre screening tool that identifies which patients need fuller cognitive testing. The vendor reports validation on a 99 patient dataset showing 92 percent sensitivity and 74 percent specificity for detecting cognitive impairment.</p><p><strong>Why it matters:</strong> A stated population and both operating characteristics is more than most vendors in this index publish, and it is enough to reason about. Sensitivity of 92 percent with specificity of 74 percent is the right shape for a pre screen, since the job is to avoid missing people and to accept that a quarter of those flagged will test normal. The dataset is small at 99 patients, so the number to ask about is performance in a primary care population rather than a validation cohort.</p><p>Impact: High. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://braincheck.com/articles/news/braincheck-expands-first-end-to-end-solution-for-cognitive-care">Vendor announcement</a></p><p>Source: <a href="https://aihealthindex.io/changelog/braincheck">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>Sword Health published a clinical and economic evidence report on its continuous AI MSK care model, reporting $3,177 in direct savings per…</title>
      <link>https://aihealthindex.io/changelog/sword-health</link>
      <guid isPermaLink="false">aihealthindex.io:change:6a89d007fbe75a71b1da726c</guid>
      <pubDate>Tue, 18 Aug 2026 12:00:00 GMT</pubDate>
      <category>Clinical evidence</category>
      <category>Remote Monitoring &amp; Chronic Care</category>
      <description><![CDATA[<p>Sword Health published a clinical and economic evidence report on its continuous AI MSK care model, reporting $3,177 in direct savings per member per year, a 3.2x return on investment, and that 54% of members with moderate to severe surgery intent remained surgery-free. The figures are Sword's own analysis and have not been independently verified.</p><p><strong>Why it matters:</strong> The report consolidates Sword's ROI and surgical-avoidance claims in one place, but it is a vendor-published evidence summary rather than a peer-reviewed study. Buyers should request the underlying methodology and cohort definitions before using these figures in a business case.</p><p>Impact: Low. Verification: Verified. Type: Clinical evidence.</p><p>Evidence: <a href="https://swordhealth.com/reports-and-guides/ai-msk-care-what-the-evidence-shows">Vendor announcement</a></p><p>Source: <a href="https://aihealthindex.io/changelog/sword-health">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>Cadence announced that its HypertensionOS software was selected by the FDA as the second participant in the TEMPO for Digital Health…</title>
      <link>https://aihealthindex.io/changelog/cadence</link>
      <guid isPermaLink="false">aihealthindex.io:change:6a808db25e3cc8842da0dc39</guid>
      <pubDate>Thu, 13 Aug 2026 12:00:00 GMT</pubDate>
      <category>Regulatory / FDA</category>
      <category>Remote Monitoring &amp; Chronic Care</category>
      <description><![CDATA[<p>Cadence announced that its HypertensionOS software was selected by the FDA as the second participant in the TEMPO for Digital Health Devices Pilot. The prescription Software as a Medical Device (SaMD) utilizes AI-assisted functionality to support clinician-supervised medication initiation and titration for patients with Stage 2 hypertension.</p><p><strong>Why it matters:</strong> Participation in the TEMPO pilot enables Cadence to deploy its clinical AI medication management system under FDA enforcement discretion. This allows healthcare buyers to adopt the technology for bounded, automated chronic care workflows while contributing real-world evidence to regulatory frameworks.</p><p>Impact: High. Verification: Partially Verified. Type: Regulatory / FDA.</p><p>Evidence: <a href="https://www.mpo-mag.com/contents/view_breaking-news/2026-08-13/cadences-hypertensionos-joins-fdas-tempo-program/">Trade press</a></p><p>Source: <a href="https://aihealthindex.io/changelog/cadence">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>Hinge Health has acquired Cylinder Health, a virtual-first digestive healthcare company, for $105 million.</title>
      <link>https://aihealthindex.io/changelog/hinge-health</link>
      <guid isPermaLink="false">aihealthindex.io:change:6a7739f386781bb15a7c68cb</guid>
      <pubDate>Tue, 04 Aug 2026 12:00:00 GMT</pubDate>
      <category>Acquisition / corporate</category>
      <category>Remote Monitoring &amp; Chronic Care</category>
      <category>Clinical Decision Support</category>
      <description><![CDATA[<p>Hinge Health has acquired Cylinder Health, a virtual-first digestive healthcare company, for $105 million. Through this acquisition, Hinge Health is expanding its platform to include an integrated Gastrointestinal Care Program, complementing its existing musculoskeletal and migraine offerings.</p><p><strong>Why it matters:</strong> Healthcare buyers and benefits leaders can now consolidate their digital health point solutions by accessing musculoskeletal, migraine, and gastrointestinal care through a single vendor platform. This expansion addresses a major category of medical spend and provides a more unified experience for covered members.</p><p>Impact: High. Verification: Verified. Type: Acquisition / corporate.</p><p>Evidence: <a href="https://ir.hingehealth.com/news/news-details/2026/Hinge-Health-to-acquire-Cylinder-Health-expanding-into-gastrointestinal-care/default.aspx">Vendor announcement</a></p><p>Source: <a href="https://aihealthindex.io/changelog/hinge-health">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>Guidehealth became one of the first organizations to earn the new Health Care AI Accreditation from URAC.</title>
      <link>https://aihealthindex.io/changelog/guidehealth</link>
      <guid isPermaLink="false">aihealthindex.io:change:6a7739f386781bb15a7c68c8</guid>
      <pubDate>Mon, 03 Aug 2026 12:00:00 GMT</pubDate>
      <category>Security / compliance</category>
      <category>Value Based Care Intelligence</category>
      <category>Remote Monitoring &amp; Chronic Care</category>
      <description><![CDATA[<p>Guidehealth became one of the first organizations to earn the new Health Care AI Accreditation from URAC. This independent certification validates the company's adherence to industry standards for responsible artificial intelligence governance, risk management, and trustworthiness.</p><p><strong>Why it matters:</strong> Buyers can rely on this third-party accreditation as proof of the platform's commitment to safe AI deployment. It reduces the compliance evaluation burden by demonstrating that the vendor meets rigorous national standards for AI oversight.</p><p>Impact: High. Verification: Verified. Type: Security / compliance.</p><p>Evidence: <a href="https://www.prnewswire.com/news-releases/urac-announces-first-organizations-to-earn-health-care-ai-accreditation-302840393.html">Trade press</a></p><p>Source: <a href="https://aihealthindex.io/changelog/guidehealth">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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    <item>
      <title>Hinge Health announced the publication of a non-randomized controlled trial in the Journal of Comparative Effectiveness Research…</title>
      <link>https://aihealthindex.io/changelog/hinge-health</link>
      <guid isPermaLink="false">aihealthindex.io:change:6a6e7c13d9213f7e7baf7c9e</guid>
      <pubDate>Thu, 30 Jul 2026 12:00:00 GMT</pubDate>
      <category>Clinical evidence</category>
      <category>Remote Monitoring &amp; Chronic Care</category>
      <category>Clinical Decision Support</category>
      <description><![CDATA[<p>Hinge Health announced the publication of a non-randomized controlled trial in the Journal of Comparative Effectiveness Research evaluating its digital exercise therapy among adults aged 65 and older. The study demonstrated that participants at risk for falls who used the platform experienced 37 percent fewer falls and 57 percent lower odds of an emergency room visit over three months compared to a control group. Physical functioning and control also improved by 6.9 points more than the comparison group based on the SF-36 scale.</p><p><strong>Why it matters:</strong> Healthcare buyers, particularly Medicare Advantage plans, can leverage this clinical validation to deploy the platform for senior populations to reduce avoidable utilization. The proven reduction in fall risk and emergency room visits directly translates to lower total medical spend and can positively impact quality Star Ratings.</p><p>Impact: High. Verification: Verified. Type: Clinical evidence.</p><p>Evidence: <a href="https://www.hingehealth.com/newsroom/study-finds-hinge-health-significantly-lowers-fall-risk-for-adults-aged-65/">Vendor announcement</a></p><p>Source: <a href="https://aihealthindex.io/changelog/hinge-health">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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    <item>
      <title>Researchers from VUNO published a peer-reviewed study in the American Journal of Neuroradiology validating a machine learning algorithm…</title>
      <link>https://aihealthindex.io/changelog/vuno</link>
      <guid isPermaLink="false">aihealthindex.io:change:6a6e7c13d9213f7e7baf7ca7</guid>
      <pubDate>Fri, 24 Jul 2026 12:00:00 GMT</pubDate>
      <category>Clinical evidence</category>
      <category>Clinical Decision Support</category>
      <category>Remote Monitoring &amp; Chronic Care</category>
      <category>Radiology &amp; Imaging AI</category>
      <description><![CDATA[<p>Researchers from VUNO published a peer-reviewed study in the American Journal of Neuroradiology validating a machine learning algorithm that uses automated brain MRI volumetry to differentiate frontotemporal dementia from Alzheimer's disease. The model, trained on 758 subjects and externally validated on 89 subjects, achieved 91.4 percent accuracy internally and significantly reduced interpretation time for experienced radiologists.</p><p><strong>Why it matters:</strong> Clinical leaders and radiology buyers evaluating dementia triage solutions gain peer-reviewed validation of VUNO's MRI volumetry approach. The demonstrated time savings and diagnostic accuracy support the commercial deployment of such models in clinical workflows to separate overlapping neurodegenerative presentations.</p><p>Impact: Medium. Verification: Verified. Type: Clinical evidence.</p><p>Evidence: <a href="https://doi.org/10.3174/ajnr.A9546">Peer-reviewed publication</a></p><p>Source: <a href="https://aihealthindex.io/changelog/vuno">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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