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    <title>AI Health Index: Patient Voice Agents changes</title>
    <link>https://aihealthindex.io/categories/patient-facing-voice-agents</link>
    <atom:link href="https://aihealthindex.io/feeds/patient-facing-voice-agents.xml" rel="self" type="application/rss+xml" />
    <description>Material product changes at Patient Voice Agents 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>Fri, 25 Sep 2026 12:00:00 GMT</lastBuildDate>
    <ttl>720</ttl>
    <image>
      <url>https://aihealthindex.io/icon-192.png</url>
      <title>AI Health Index: Patient Voice Agents changes</title>
      <link>https://aihealthindex.io/categories/patient-facing-voice-agents</link>
    </image>
    <item>
      <title>The 25 Sep Artera Harmony Federal Edition release changes Intake Hub to match patient forms to appointments using the EHR's event ID, so…</title>
      <link>https://aihealthindex.io/changelog/artera</link>
      <guid isPermaLink="false">aihealthindex.io:change:6ab90c10ee3c2977980e6546</guid>
      <pubDate>Fri, 25 Sep 2026 12:00:00 GMT</pubDate>
      <category>EHR / interoperability</category>
      <category>Patient Voice Agents</category>
      <category>Healthcare Administrative Automation</category>
      <description><![CDATA[<p>The 25 Sep Artera Harmony Federal Edition release changes Intake Hub to match patient forms to appointments using the EHR's event ID, so renaming an appointment type in the EHR no longer stops forms from being assigned. Details from a patient's uploaded ID or insurance card now fill in the rest of an Intake Hub form automatically, and the notes say groundwork is in place to write form answers back to the EHR.</p><p><strong>Why it matters:</strong> Matching on the EHR event ID removes a silent failure where intake forms stopped going out after an EHR configuration change. Card based auto fill cuts manual entry for patients before the visit. EHR write back is not yet live.</p><p>Impact: Low. Verification: Verified. Type: EHR / interoperability.</p><p>Evidence: <a href="https://knowledge.artera.io/en_US/release-notes-artera-harmony-federal-edition/2026-releases-artera-harmony-federal-edition">Vendor documentation</a></p><p>Source: <a href="https://aihealthindex.io/changelog/artera">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>Artera AI agents can now listen for the voicemail beep and start speaking when recording begins, turned on for each agent individually.</title>
      <link>https://aihealthindex.io/changelog/artera</link>
      <guid isPermaLink="false">aihealthindex.io:change:6ab90c10ee3c2977980e6545</guid>
      <pubDate>Fri, 25 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Patient Voice Agents</category>
      <category>Healthcare Administrative Automation</category>
      <description><![CDATA[<p>Artera AI agents can now listen for the voicemail beep and start speaking when recording begins, turned on for each agent individually. The same release moves website syncing into an AI agent knowledge base to a background process so it no longer slows live patient conversations, and adds automated tests that check an agent's responses before changes go live.</p><p><strong>Why it matters:</strong> Outbound voice agents that talk over a voicemail greeting leave clipped, unusable messages, so beep detection makes reminder and recall calls land when patients do not answer. Pre release response testing is a governance control buyers can ask to see.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://knowledge.artera.io/en_US/release-notes-artera-harmony-federal-edition/2026-releases-artera-harmony-federal-edition">Vendor documentation</a></p><p>Source: <a href="https://aihealthindex.io/changelog/artera">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>Syllable release 26.9.22 added Insights Reports, a workflow detail view for reviewing analyzed results, configuration and session context…</title>
      <link>https://aihealthindex.io/changelog/syllable</link>
      <guid isPermaLink="false">aihealthindex.io:change:6ab85e9bd92e5616ac6dc813</guid>
      <pubDate>Tue, 22 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Patient Voice Agents</category>
      <category>Healthcare Administrative Automation</category>
      <category>RCM &amp; Prior Auth AI</category>
      <description><![CDATA[<p>Syllable release 26.9.22 added Insights Reports, a workflow detail view for reviewing analyzed results, configuration and session context, and Experiments, which splits live traffic across weighted voice agent variants and compares the results by session. The release also fixed voicemail delivery for carriers with short recording windows.</p><p><strong>Why it matters:</strong> Experiments turn agent changes into measured tests on real calls. Health systems should agree on the outcome being tested, such as completed scheduling, and on how patients are informed, before splitting live patient traffic between variants.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://syllable.ai/release-notes/version-26.9.22">Vendor documentation</a></p><p>Source: <a href="https://aihealthindex.io/changelog/syllable">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>Relatient extended the self scheduling and call center scheduling tools in its Dash platform to behavioral health providers, adding secure…</title>
      <link>https://aihealthindex.io/changelog/relatient</link>
      <guid isPermaLink="false">aihealthindex.io:change:6ab85e9bd92e5616ac6dc812</guid>
      <pubDate>Tue, 22 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Patient Voice Agents</category>
      <category>Healthcare Administrative Automation</category>
      <description><![CDATA[<p>Relatient extended the self scheduling and call center scheduling tools in its Dash platform to behavioral health providers, adding secure self service booking and automated appointment management. Relatient cites one behavioral health customer where 60 percent of self scheduled appointments came from new patients and 47 percent of booked appointments were seen within three days.</p><p><strong>Why it matters:</strong> Behavioral health scheduling carries privacy and intake requirements that general scheduling tools handle poorly. Organizations should ask which intake steps are automated and how sensitive appointment types are kept out of reminders and call center scripts.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.businesswire.com/news/home/20260922587403/en/Relatient-Expands-Intelligent-Scheduling-to-Behavioral-Health-Helping-Organizations-Scale-Patient-Access-for-High-Demand">Vendor announcement</a></p><p>Source: <a href="https://aihealthindex.io/changelog/relatient">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>Assort Health expanded its direct workflow automation for practices on NextGen Enterprise.</title>
      <link>https://aihealthindex.io/changelog/assort-health</link>
      <guid isPermaLink="false">aihealthindex.io:change:6aaeaddaaaa02078636c9cac</guid>
      <pubDate>Thu, 17 Sep 2026 12:00:00 GMT</pubDate>
      <category>EHR / interoperability</category>
      <category>Patient Voice Agents</category>
      <description><![CDATA[<p>Assort Health expanded its direct workflow automation for practices on NextGen Enterprise. Using NextGen's Platinum API tier, Assort's AI agents can read and write appointment slots, referrals, clinical notes, chart alerts, diagnoses, procedures and payment workflows directly in the EHR.</p><p><strong>Why it matters:</strong> Write access is the line between an agent that answers the phone and one that finishes the job. Practices should confirm which of those write actions are switched on by default, and how each one appears in the NextGen audit trail.</p><p>Impact: High. Verification: Partially Verified. Type: EHR / interoperability.</p><p>Evidence: <a href="https://www.nextgen.com/solutions/marketplace/assorthealth">Vendor documentation</a></p><p>Source: <a href="https://aihealthindex.io/changelog/assort-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>RadiantGraph launched Care Guidance Agents, AI voice agents that give patients with chronic conditions ongoing support: education after a…</title>
      <link>https://aihealthindex.io/changelog/radiantgraph</link>
      <guid isPermaLink="false">aihealthindex.io:change:6aaeaddaaaa02078636c9cad</guid>
      <pubDate>Wed, 16 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Patient Voice Agents</category>
      <category>Value Based Care Intelligence</category>
      <description><![CDATA[<p>RadiantGraph launched Care Guidance Agents, AI voice agents that give patients with chronic conditions ongoing support: education after a diagnosis, daily management coaching and preventive care, with dedicated agents for musculoskeletal and behavioral health. RadiantGraph also says it has been approved for the CMS ACCESS Model, so participating providers can enroll Medicare Part B patients.</p><p><strong>Why it matters:</strong> ACCESS pays for outcomes, not activity, so any vendor in it has to show that its agents actually move blood pressure, pain or depression scores. Ask RadiantGraph which ACCESS tracks it covers and what outcome data it can hand back to a provider.</p><p>Impact: Medium. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.prnewswire.com/news-releases/radiantgraph-adds-care-guidance-agents-to-extend-personalized-chronic-condition-support-approved-for-cms-access-model-302879815.html">Vendor announcement</a></p><p>Source: <a href="https://aihealthindex.io/changelog/radiantgraph">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>Hello Patient acquired Converse Health, adding AI agents that handle the document and chart work around a visit.</title>
      <link>https://aihealthindex.io/changelog/hello-patient</link>
      <guid isPermaLink="false">aihealthindex.io:change:6aaeaddaaaa02078636c9caf</guid>
      <pubDate>Tue, 15 Sep 2026 12:00:00 GMT</pubDate>
      <category>Acquisition / corporate</category>
      <category>Patient Voice Agents</category>
      <category>Healthcare Administrative Automation</category>
      <category>RCM &amp; Prior Auth AI</category>
      <description><![CDATA[<p>Hello Patient acquired Converse Health, adding AI agents that handle the document and chart work around a visit. The combined platform reads incoming faxes, matches or creates the patient record, files documents in the EHR and then follows up with the patient by call or text. Hello Patient integrates with ModMed, athenahealth and eClinicalWorks.</p><p><strong>Why it matters:</strong> Most practice automation stops at the phone, while the paperwork behind a referral still lands on staff. Buyers should ask how the agent handles a fax it cannot match to a patient, because a misfiled clinical document is a patient safety problem, not just an admin one.</p><p>Impact: Medium. Verification: Verified. Type: Acquisition / corporate.</p><p>Evidence: <a href="https://www.hellopatient.com/blog/news/hello-patient-acquires-converse-health">Vendor announcement</a></p><p>Source: <a href="https://aihealthindex.io/changelog/hello-patient">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>Parlance made its IT help desk intelligent virtual assistant available on the ServiceNow Store, alongside a new identity verification step…</title>
      <link>https://aihealthindex.io/changelog/parlance</link>
      <guid isPermaLink="false">aihealthindex.io:change:6aa5b27795f1c7683c18cf6e</guid>
      <pubDate>Wed, 09 Sep 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Patient Voice Agents</category>
      <category>Healthcare Administrative Automation</category>
      <description><![CDATA[<p>Parlance made its IT help desk intelligent virtual assistant available on the ServiceNow Store, alongside a new identity verification step for the voice channel: for sensitive requests such as a password reset, the assistant reads a one time code to the caller, who confirms it in Cisco Duo or another enterprise authenticator before the action proceeds. Parlance cites industry estimates that password resets drive 20 to 50 percent of health system IT help desk call volume.</p><p><strong>Why it matters:</strong> The Duo step is the part with security consequence: an unverified push or an SMS code confirms that someone approved something, while a code read on the live call and confirmed in the authenticator ties the approval to that caller and that request, which closes the social engineering path that help desk voice bots opened. Health systems on ServiceNow can now evaluate this from the Store rather than through a custom integration.</p><p>Impact: Medium. Verification: Partially Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.prnewswire.com/news-releases/parlance-brings-verified-push-notification-security-to-health-system-it-help-desks-on-servicenow-store-302872636.html">Vendor announcement</a></p><p>Source: <a href="https://aihealthindex.io/changelog/parlance">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>Luma Health shipped its Summer 2026 release, extending its Operational AI from pre visit preparation into what happens once the patient is…</title>
      <link>https://aihealthindex.io/changelog/luma-health</link>
      <guid isPermaLink="false">aihealthindex.io:change:6a92e5ef75bbcbbe469c6ff5</guid>
      <pubDate>Wed, 26 Aug 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Healthcare Administrative Automation</category>
      <category>Patient Voice Agents</category>
      <category>RCM &amp; Prior Auth AI</category>
      <description><![CDATA[<p>Luma Health shipped its Summer 2026 release, extending its Operational AI from pre visit preparation into what happens once the patient is physically in the clinic. Patients can now self check in by kiosk or QR code, an enhanced Queue Manager routes arrivals to the appropriate queue automatically, and new financial administration tooling supports facility managed card readers and transaction reporting. The through line is closing the gap between the digital front door and the front desk.</p><p><strong>Why it matters:</strong> Most patient access platforms stop at the appointment and hand off to a separate check in system, which is exactly where the operational data trail breaks. Unifying arrival, queueing and payment under one system gives front desk staff live visibility instead of reconstructing the morning afterwards. Buyers should confirm how the card reader support interacts with their existing merchant processing relationship, since payment infrastructure is the part of this that is hardest to swap later.</p><p>Impact: High. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.lumahealth.io/newsroom/press-releases/luma-health-connects-pre-visit-prep-to-the-clinic-floor-with-new-operational-ai-features/">Vendor announcement</a></p><p>Source: <a href="https://aihealthindex.io/changelog/luma-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>Hyro published a breakdown of the architecture behind its patient scheduling agent, disclosing that it orchestrates seven distinct smaller…</title>
      <link>https://aihealthindex.io/changelog/hyro</link>
      <guid isPermaLink="false">aihealthindex.io:change:6a92e5ef75bbcbbe469c6ff3</guid>
      <pubDate>Tue, 25 Aug 2026 12:00:00 GMT</pubDate>
      <category>Model / architecture</category>
      <category>Patient Voice Agents</category>
      <category>Healthcare Administrative Automation</category>
      <description><![CDATA[<p>Hyro published a breakdown of the architecture behind its patient scheduling agent, disclosing that it orchestrates seven distinct smaller models rather than driving the workflow from one large language model. Individual models are dedicated to isolated jobs such as extracting date and time constraints from what the patient said, querying slot availability, and answering general questions. The design deliberately trades the flexibility of a single large prompt for narrower components whose failures are easier to localize.</p><p><strong>Why it matters:</strong> Architecture disclosure at this level is rare in this category and is directly useful, because it tells a buyer where a scheduling error would come from and whether it can be fixed without retraining the whole system. Task isolation also reduces the failure mode where a long instruction set produces contradictory behavior under pressure. Treat the disclosure itself as the change worth logging, since a vendor willing to describe its model topology is easier to evaluate than one that will only describe outcomes.</p><p>Impact: Medium. Verification: Verified. Type: Model / architecture.</p><p>Evidence: <a href="https://www.hyro.ai/blog/patient-conversations-technology-breakdown/">Vendor announcement</a></p><p>Source: <a href="https://aihealthindex.io/changelog/hyro">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>mdhub introduced three new platform capabilities: AI Analytics for custom reporting on clinical and financial metrics, an AI Care…</title>
      <link>https://aihealthindex.io/changelog/mdhub</link>
      <guid isPermaLink="false">aihealthindex.io:change:6a89d007fbe75a71b1da7271</guid>
      <pubDate>Thu, 20 Aug 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Behavioral Health AI</category>
      <category>Patient Voice Agents</category>
      <category>RCM &amp; Prior Auth AI</category>
      <description><![CDATA[<p>mdhub introduced three new platform capabilities: AI Analytics for custom reporting on clinical and financial metrics, an AI Care Coordinator named Laura for patient engagement via the portal, and an automated Chart Audit tool to review documentation against payer requirements.</p><p><strong>Why it matters:</strong> Behavioral health clinics can now automate between-visit patient follow-ups to reduce churn, proactively catch documentation gaps before claims are denied, and generate custom operational reports without manual data exports.</p><p>Impact: High. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://mdhub.ai/blog-posts/whats-new">Vendor announcement</a></p><p>Source: <a href="https://aihealthindex.io/changelog/mdhub">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>Cedar launched the Kora Platform, evolving its single AI billing agent into an integrated suite of purpose-built AI agents for patient…</title>
      <link>https://aihealthindex.io/changelog/cedar</link>
      <guid isPermaLink="false">aihealthindex.io:change:6a808db25e3cc8842da0dc3a</guid>
      <pubDate>Thu, 13 Aug 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>RCM &amp; Prior Auth AI</category>
      <category>Patient Voice Agents</category>
      <description><![CDATA[<p>Cedar launched the Kora Platform, evolving its single AI billing agent into an integrated suite of purpose-built AI agents for patient revenue recovery. The platform orchestrates autonomous inbound voice, proactive outbound voice, and two-way text capabilities to handle tasks such as routine billing inquiries, payment processing, and Medicaid enrollment. The agents integrate with existing electronic health records and call center systems, retaining conversation history to carry context across multiple patient interactions.</p><p><strong>Why it matters:</strong> Revenue cycle management teams can leverage this multi-channel suite to automate patient financial interactions and contain inbound call volumes. By intelligently determining caller intent and proactively initiating outbound engagement, the platform helps health systems reduce the cost-to-collect for growing self-pay and uninsured patient populations.</p><p>Impact: High. Verification: Partially Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.fiercehealthcare.com/ai-and-machine-learning/cedar-launches-kora-platform-build-out-agentic-ai-medical-billing">Trade press</a></p><p>Source: <a href="https://aihealthindex.io/changelog/cedar">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>Ubie's AI-powered patient access tool, Smart Support, has been officially qualified on the Mayo Clinic Platform.</title>
      <link>https://aihealthindex.io/changelog/ubie</link>
      <guid isPermaLink="false">aihealthindex.io:change:6a808db25e3cc8842da0dc38</guid>
      <pubDate>Wed, 12 Aug 2026 12:00:00 GMT</pubDate>
      <category>Regulatory / guideline</category>
      <category>Clinical Decision Support</category>
      <category>Patient Voice Agents</category>
      <description><![CDATA[<p>Ubie's AI-powered patient access tool, Smart Support, has been officially qualified on the Mayo Clinic Platform. The solution evaluates routine patient interactions across phone calls, web chats, and portal messages. It autonomously determines the clinical urgency, appropriate specialty, and correct visit type at intake prior to scheduling.</p><p><strong>Why it matters:</strong> Qualification by an independent, reputable body provides health systems with external validation of the algorithm's clinical performance and readiness for real-world workflows. Centralized patient access teams can confidently deploy the tool for high-volume intake routing to reserve staff time for complex cases requiring human judgment.</p><p>Impact: High. Verification: Partially Verified. Type: Regulatory / guideline.</p><p>Evidence: <a href="https://www.prnewswire.com/news-releases/ubie-announces-smart-support-is-a-qualified-solution-on-mayo-clinic-platform-2026.html">Vendor announcement</a></p><p>Source: <a href="https://aihealthindex.io/changelog/ubie">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>Assort Health announced the general availability of Referrals, a new AI agent designed to automate the inbound referral process end-to-end.</title>
      <link>https://aihealthindex.io/changelog/assort-health</link>
      <guid isPermaLink="false">aihealthindex.io:change:6a808db25e3cc8842da0dc35</guid>
      <pubDate>Wed, 12 Aug 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Patient Voice Agents</category>
      <description><![CDATA[<p>Assort Health announced the general availability of Referrals, a new AI agent designed to automate the inbound referral process end-to-end. The agent extracts data from EHR feeds and faxes, verifies patient eligibility, applies specialty-specific matching criteria to select the appropriate provider, and proactively contacts the patient to schedule the appointment directly in systems like Epic and athenahealth.</p><p><strong>Why it matters:</strong> Specialty practices and health systems can deploy this agent to minimize referral leakage and drastically reduce the administrative burden of manual document reviews and outreach. By processing referrals within hours and intelligently identifying the best-fit provider, organizations can accelerate patient access, increase referral-to-appointment conversion rates, and capture previously lost revenue.</p><p>Impact: High. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.assorthealth.com/press/assort-health-unveils-referrals-the-first-ai-agent-that-handles-processing-triage-and-continuous-patient-conversations-for-every-referral">Vendor announcement</a></p><p>Source: <a href="https://aihealthindex.io/changelog/assort-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>mdhub launched a native integration with athenaOne, officially becoming a vetted partner on the athenahealth Marketplace.</title>
      <link>https://aihealthindex.io/changelog/mdhub</link>
      <guid isPermaLink="false">aihealthindex.io:change:6a808db25e3cc8842da0dc34</guid>
      <pubDate>Tue, 11 Aug 2026 12:00:00 GMT</pubDate>
      <category>EHR / interoperability</category>
      <category>Behavioral Health AI</category>
      <category>Patient Voice Agents</category>
      <category>RCM &amp; Prior Auth AI</category>
      <description><![CDATA[<p>mdhub launched a native integration with athenaOne, officially becoming a vetted partner on the athenahealth Marketplace. The integration connects mdhub's AI-powered admissions, clinical documentation, and smart scheduling tools directly to athenaOne workflows.</p><p><strong>Why it matters:</strong> Behavioral health practices using athenaOne can now deploy mdhub's AI automation without creating data silos or forcing staff to manage parallel systems. The vetted Marketplace status also ensures the integration meets athenahealth's strict API and data security standards.</p><p>Impact: High. Verification: Verified. Type: EHR / interoperability.</p><p>Evidence: <a href="https://www.mdhub.ai/blog/mdhub-athenahealth-partners-ai-for-behavioral-health">Vendor announcement</a></p><p>Source: <a href="https://aihealthindex.io/changelog/mdhub">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>Sully.ai released an AI scribe specifically designed for nursing shifts, expanding its capabilities beyond standard physician visit…</title>
      <link>https://aihealthindex.io/changelog/sully-ai</link>
      <guid isPermaLink="false">aihealthindex.io:change:6a7739f386781bb15a7c68dd</guid>
      <pubDate>Thu, 06 Aug 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Ambient Scribes</category>
      <category>Patient Voice Agents</category>
      <category>Autonomous Medical Coding</category>
      <category>Clinical Decision Support</category>
      <description><![CDATA[<p>Sully.ai released an AI scribe specifically designed for nursing shifts, expanding its capabilities beyond standard physician visit documentation. The new tool is tailored to handle nursing-specific workflows, including timestamps, flowsheets, and shift handoffs.</p><p><strong>Why it matters:</strong> Nursing documentation requires continuous updates and structured data entry that traditional physician-focused ambient scribes often fail to support. This release allows healthcare organizations to deploy ambient listening directly to nursing staff, addressing a major source of clinical burnout and shift overtime.</p><p>Impact: High. Verification: Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.sully.ai/blog/ai-scribe-for-nurses-and-what-shift-documentation-actually-needs">Vendor announcement</a></p><p>Source: <a href="https://aihealthindex.io/changelog/sully-ai">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>Hyro has launched a new integration with ServiceNow to deliver voice and digital self-service capabilities for health systems.</title>
      <link>https://aihealthindex.io/changelog/hyro</link>
      <guid isPermaLink="false">aihealthindex.io:change:6a7739f386781bb15a7c68d7</guid>
      <pubDate>Wed, 05 Aug 2026 12:00:00 GMT</pubDate>
      <category>EHR / interoperability</category>
      <category>Patient Voice Agents</category>
      <category>Healthcare Administrative Automation</category>
      <description><![CDATA[<p>Hyro has launched a new integration with ServiceNow to deliver voice and digital self-service capabilities for health systems. The integration connects Hyro's conversational AI agents with ServiceNow's workflow management to automate administrative tasks and patient interactions.</p><p><strong>Why it matters:</strong> Healthcare organizations using ServiceNow can now directly connect Hyro's AI agents to their existing IT and administrative workflows. This reduces manual data entry for staff and streamlines patient self-service by automatically routing and resolving requests within the ServiceNow platform.</p><p>Impact: Medium. Verification: Verified. Type: EHR / interoperability.</p><p>Evidence: <a href="https://www.hyro.ai/blog/hyro-partners-with-servicenow/">Vendor announcement</a></p><p>Source: <a href="https://aihealthindex.io/changelog/hyro">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>Doctolib launched a clinical AI research program in partnership with public institutes like Inria and Inserm to develop AI tools using…</title>
      <link>https://aihealthindex.io/changelog/doctolib</link>
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      <pubDate>Tue, 04 Aug 2026 12:00:00 GMT</pubDate>
      <category>Safety / governance</category>
      <category>Ambient Scribes</category>
      <category>Patient Voice Agents</category>
      <category>Healthcare Administrative Automation</category>
      <description><![CDATA[<p>Doctolib launched a clinical AI research program in partnership with public institutes like Inria and Inserm to develop AI tools using patient medical histories. The initiative automatically includes user health data to train these AI models unless patients actively opt out via a provided form.</p><p><strong>Why it matters:</strong> Healthcare organizations using Doctolib must be aware that patient data is being used by default to train the vendor's clinical AI models. This opt-out data governance approach may impact patient trust and requires providers to understand the privacy and compliance implications for their patient populations.</p><p>Impact: High. Verification: Partially Verified. Type: Safety / governance.</p><p>Evidence: <a href="https://www.thelocal.fr/20260804/why-doctolib-users-in-france-are-being-asked-about-ai-research">Trade press</a></p><p>Source: <a href="https://aihealthindex.io/changelog/doctolib">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>Counsel Health launched Counsel Studio, a white-label deployment platform enabling healthcare organizations to embed its AI-enabled…</title>
      <link>https://aihealthindex.io/changelog/counsel-health</link>
      <guid isPermaLink="false">aihealthindex.io:change:6a6e7c13d9213f7e7baf7ca3</guid>
      <pubDate>Fri, 31 Jul 2026 12:00:00 GMT</pubDate>
      <category>Product / capability</category>
      <category>Patient Voice Agents</category>
      <category>Clinical Decision Support</category>
      <description><![CDATA[<p>Counsel Health launched Counsel Studio, a white-label deployment platform enabling healthcare organizations to embed its AI-enabled virtual care interface directly into their own applications. The platform connects into existing digital portals via APIs, iFrames, or WebViews, allowing partners to customize the user interface and ingest their proprietary clinical protocols.</p><p><strong>Why it matters:</strong> This release allows health plans and health systems to natively integrate AI triaging and physician-supervised care within their existing consumer applications. By embedding the service directly without requiring a separate app download, buyers can reduce friction and steer care in-network while maintaining full brand continuity.</p><p>Impact: High. Verification: Partially Verified. Type: Product / capability.</p><p>Evidence: <a href="https://www.fiercehealthcare.com/health-tech/weekly-rundown-counsel-health-rolls-out-white-label-ai-care-platform">Trade press</a></p><p>Source: <a href="https://aihealthindex.io/changelog/counsel-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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