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  <title>Beyond the Clinic</title>

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  <description><![CDATA[<p>Welcome to our Expert Panel Series, where MPF's internal experts and invited guests unpack the questions shaping the future of health care, AI, and workforce optimization. Each episode brings practitioners together for candid, substantive conversation on how emerging technology is transforming the future across federal and commercial environments.</p><p><br></p><p>Subscribe for expert perspectives at the intersection of artificial intelligence, health care innovation, and organizational excellence.<br><br>Find out more at www.mpfllc.com</p>]]></description>
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    <itunes:title>AI, Trust, and the Non-Engaged Patient</itunes:title>
    <title>AI, Trust, and the Non-Engaged Patient</title>
    <itunes:summary><![CDATA[In Episode 2 of the MPF Expert Panel Series — Beyond the Clinic: AI, Trust, and the Non-Engaged Patient — we take on a problem most AI-in-healthcare discussions skip: how do you reach a person who no longer trusts the system and no longer shows up in the data built to help them?  The panel explores population health, emotional intelligence as a design principle, the difference between a tool that listens and one that knows when to bring in a human, and why trust in the system is itself a...]]></itunes:summary>
    <description><![CDATA[<p>In Episode 2 of the MPF Expert Panel Series — <em>Beyond the Clinic: AI, Trust, and the Non-Engaged Patient</em> — we take on a problem most AI-in-healthcare discussions skip: how do you reach a person who no longer trusts the system and no longer shows up in the data built to help them? </p><p>The panel explores population health, emotional intelligence as a design principle, the difference between a tool that listens and one that knows when to bring in a human, and why trust in the system is itself a public health concern. A practical, evidence-informed conversation about building technology that works for every user — not just the ones already engaged.  </p><p>For more information on this episode, the company, or the speakers, please visit www.mpfllc.com</p>]]></description>
    <content:encoded><![CDATA[<p>In Episode 2 of the MPF Expert Panel Series — <em>Beyond the Clinic: AI, Trust, and the Non-Engaged Patient</em> — we take on a problem most AI-in-healthcare discussions skip: how do you reach a person who no longer trusts the system and no longer shows up in the data built to help them? </p><p>The panel explores population health, emotional intelligence as a design principle, the difference between a tool that listens and one that knows when to bring in a human, and why trust in the system is itself a public health concern. A practical, evidence-informed conversation about building technology that works for every user — not just the ones already engaged.  </p><p>For more information on this episode, the company, or the speakers, please visit www.mpfllc.com</p>]]></content:encoded>
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    <itunes:author>Dr. Tina Flores</itunes:author>
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    <pubDate>Wed, 05 Aug 2026 13:00:00 -0400</pubDate>
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    <itunes:title>People First, AI Forward: A Nursing Workforce Conversation</itunes:title>
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    <itunes:summary><![CDATA[What if the nursing shortage and the struggle to adopt AI in healthcare aren't two separate crises, but one connected problem most organizations are getting wrong? In this first episode, Dr. Tina Flores brings together two sharp voices to reframe the conversation: Dr. Christopher Davis, whose work centers on using data to make learning actually happen inside organizations, and Anna, a nurse by training who now is the President and CEO of MPF Federal. Together they challenge the assumption tha...]]></itunes:summary>
    <description><![CDATA[<p>What if the nursing shortage and the struggle to adopt AI in healthcare aren&apos;t two separate crises, but one connected problem most organizations are getting wrong?</p><p>In this first episode, Dr. Tina Flores brings together two sharp voices to reframe the conversation: Dr. Christopher Davis, whose work centers on using data to make learning actually happen inside organizations, and Anna, a nurse by training who now is the President and CEO of MPF Federal. Together they challenge the assumption that nurses are &quot;resisting&quot; AI; arguing instead that their caution is protecting organizations from bad implementation that could compromise patient care.</p><p>The discussion moves from trust and the four requirements for real AI ROI: access, leadership support, training, and time, to what &quot;AI readiness&quot; actually looks like in a clinical nurse: calibrated trust, ambiguity tolerance, and adaptive judgment. Along the way, the panel tackles the turnover cycle driving the shortage, the biggest misconceptions holding adoption back, and how recruiters can &quot;out-human the AI&quot; to hire people with real skills.</p><p>A candid, practical look at how the organizations that connect these dots will pull ahead.</p><p>For more information on this episode, the company, or the speakers, please visit www.mpfllc.com</p>]]></description>
    <content:encoded><![CDATA[<p>What if the nursing shortage and the struggle to adopt AI in healthcare aren&apos;t two separate crises, but one connected problem most organizations are getting wrong?</p><p>In this first episode, Dr. Tina Flores brings together two sharp voices to reframe the conversation: Dr. Christopher Davis, whose work centers on using data to make learning actually happen inside organizations, and Anna, a nurse by training who now is the President and CEO of MPF Federal. Together they challenge the assumption that nurses are &quot;resisting&quot; AI; arguing instead that their caution is protecting organizations from bad implementation that could compromise patient care.</p><p>The discussion moves from trust and the four requirements for real AI ROI: access, leadership support, training, and time, to what &quot;AI readiness&quot; actually looks like in a clinical nurse: calibrated trust, ambiguity tolerance, and adaptive judgment. Along the way, the panel tackles the turnover cycle driving the shortage, the biggest misconceptions holding adoption back, and how recruiters can &quot;out-human the AI&quot; to hire people with real skills.</p><p>A candid, practical look at how the organizations that connect these dots will pull ahead.</p><p>For more information on this episode, the company, or the speakers, please visit www.mpfllc.com</p>]]></content:encoded>
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