『Beyond the Blueprint - Better Healthtech By Design』のカバーアート

Beyond the Blueprint - Better Healthtech By Design

Beyond the Blueprint - Better Healthtech By Design

著者: Beyond the Blueprint - Health Series
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Redefining Healthcare Through Design Thinking Dialogues with clinicians & HIT professionals, clinical leadership, and industry innovators on integrating healthcare design into technology deployments to tackle complexity, drive innovation, improve patient care, & foment transformative change.2025 生物科学 科学 衛生・健康的な生活 身体的病い・疾患
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  • EP55 - AMDIS Roundtable - Before the Digital Front Door: How AI Is Reshaping the Patient Journey
    2026/08/31
    "If you're a practicing clinician, you are inheriting the output from these AI tools." Dr. Minal Shah knows that patients are increasingly making healthcare decisions before they ever reach a health system's website, portal, or app. They're using ChatGPT, search, wearables, and home monitoring tools to interpret symptoms, decide where to seek care, and arrive at appointments with recommendations already in hand. For clinicians, the output of consumer AI is already becoming part of the clinical encounter. In this AMDIS Roundtable, Gregg Malkary sits down with Dr. Minal Shah, Dr. Eve Cunningham, and Dr. Deepti Pandita to explore what happens when AI impacts if and how patients reach a health system's digital front door. The results can cut both ways. Dr. Shah has seen patients arrive better informed and clearer about their priorities, allowing the visit to begin "from a point of better knowledge for both parties" and creating more room for shared decision-making. Dr. Cunningham has also seen patients convince themselves something is wrong, including one who visited three different urgent cares in 24 hours after repeatedly turning to a chatbot for guidance. That creates a practical challenge for health systems: helping patients find useful guidance while protecting against unreliable recommendations, incomplete information, delayed care, and unnecessary utilization. Dr. Pandita sees an opportunity to build AI into tools patients already encounter, including pre-visit questionnaires, where it could add "depth and perception" while making information easier for patients to provide and clinicians to interpret. Dr. Shah describes a more structured handoff from these tools that could create value for both patient and provider. From patient navigation and data governance to quality oversight, clinical workflow, and workforce capacity, these three informatics leaders examine where AI is already helping, where caution is warranted, and how health systems can create value for patients and staff as these tools become part of everyday care. All roads leading to the digital front door are becoming more complex. Dr. Pandita sees the opportunity for AI to help patients navigate them: "Every step through the healthcare journey, it becomes your sort of partner in navigating the healthcare system." Key Takeaways How consumer AI is shaping patient decisions before they reach the health systemThe benefits and risks of patients arriving with AI-generated guidanceWhy clinical judgment and trust become even more important with AIHow AI can support pre-visit preparation and care navigationThe role of governance and human oversight in patient-facing AIUsing AI to reduce administrative burden and preserve clinical capacityWhy AI must fit the workflow to create value for patients and clinicians Episode Highlights 00:00 | When Patients Bring AI to the Exam Room 02:49 | Before the Digital Front Door: Where Patient Decisions Now Begin 04:26 | AI Governance, Guardrails, and the Human in the Loop 08:11 | Clinicians Are Inheriting the Output of Consumer AI 11:05 | When AI Helps Patients—and When It Sends Them Off Course 14:49 | Four Questions to Ask About Patient-Generated AI Advice 16:21 | Building a Better Pre-Visit Handoff with AI 19:25 | Using AI to Prepare Clinicians Before the Patient Arrives 23:10 | Should AI Agents Be Treated Like Members of the Care Team? 25:29 | AI Agents, Agenda Setting, and the "Intelligent Front Door" 27:22 | Removing Low-Value Work to Extend Clinical Capacity 29:54 | AI Adoption, Skepticism, and Change Management 33:44 | Why Clinicians Are Going Outside the Workflow to Use AI 36:01 | Ambient AI as a Recruitment and Retention Tool 39:03 | Final Advice: Start with the Workflow, Then Layer on AI Guests: Minal Shah, Eve Cunningham, Deepti Pandita Host: Gregg Malkary - Lighthouse Healthtech Sponsored by: Simplifi Medical Audio/Video: Tim Jones - Health Nuts Media Marketing: Josh Troop - Troop-Creative Learn More at: www.beyond-blueprint.com
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    43 分
  • EP54 - Communication Breakdown: Who Owns the Next Step?
    2026/08/17

    "Pilots lie."

    Chris Talbot isn't knocking proof-of-value projects. He still believes in them. But he's blunt about why they create a false sense of readiness. Pilot units represent the hospital at its best: engaged staff, freshly configured devices, vendor support, and extra IT attention. Strip that support away, put a float nurse on the floor at 3 a.m. with half the devices dead off the charging rack, and that's the real test. As Chris puts it, "What breaks first is almost never the software. It's that consistency underneath."

    When Gregg Malkary brought Chris Talbot (SMG3 Partners), Ron Remy (Mobile Heartbeat), and Angus Douglas (GE HealthCare) together to discuss what happens after AI identifies a problem in the hospital, the conversation quickly moved beyond the technology itself and into something harder: who owns the next step, how work gets coordinated across the enterprise, and what happens when no one acts in time.

    Ron Remy points out that even an urgent clinical message is still "one of a hundred signals that the recipient receives." Without context or prioritization, a stalled discharge competes for attention alongside every other notification arriving in the same inbox. More alerts and more data don't automatically produce better decisions. Sometimes they simply create more noise.

    Angus Douglas frames the stakes clearly. Sending a bad alert can be just as damaging as missing a good one, "because once you do that and staff stop trusting something, you really lose that adoption momentum." AI is already helping health systems stratify emergency department admissions and identify discharge opportunities, but, as Angus notes, "I don't think they're flipping a switch at all yet." Clinical judgment still matters, and trust remains difficult to earn back once it's lost.

    The conversation also explores the execution-layer realities that AI can't solve on its own: device fleets where 15 to 20% are dead, missing, or misconfigured on any given day; the difficulty of getting data out of enterprise clinical systems and into the workflows where action happens; and why, as Ron argues, no deployment succeeds without sustained investment in change management.

    This episode asks a practical question that extends well beyond AI: what does it take to move from a successful pilot to a capability an entire health system can depend on? Communication, workflow ownership, clinician trust, and organizational discipline all prove to be just as important as the intelligence of the technology itself.

    Key Takeaways
    • Why pilots can create a false sense of readiness
    • Who owns the next step after AI identifies a problem?
    • Managing signal, noise, and clinical attention
    • Earning clinician trust in AI-assisted workflows
    • The execution layer behind enterprise transformation
    • Why technology alone doesn't change organizations
    • Building the organizational discipline to scale innovation
    Episode Highlights

    00:00 | "Pilots Lie": Why Proof of Value Isn't Enough
    02:06 | Who Owns the Next Step After AI Spots a Problem?
    05:33 | "Documentation Isn't Motion"
    06:20 | One of a Hundred Signals: Why Messages Still Get Missed
    10:11 | Alert Fatigue, Trust, and AI Adoption
    15:02 | The Handoff Problem AI Can't Solve
    21:12 | Responsible AI and the Governance Challenge
    27:10 | Can AI Prioritize Communication?
    35:22 | What Six Months of Hospital Messages Revealed
    38:52 | Lightning Round: Advice for Healthcare Leaders

    Guests: Angus Douglas, Ron Remy, Chris Talbot
    Host:
    Gregg Malkary - Lighthouse Healthtech
    Sponsored by:
    Simplifi Medical
    Audio/Video:
    Tim Jones - Health Nuts Media
    Marketing:
    Josh Troop - Troop-Creative
    Learn More at:
    www.beyond-blueprint.com

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    42 分
  • EP53 - AHIMA's Jennifer Mueller: Trusted Health Information
    2026/08/03

    Health Information professionals rarely interact directly with patients, yet their work influences nearly every patient encounter. From clinical documentation and coding to privacy, patient identity, and information governance, they help ensure that healthcare decisions are built on information that can be trusted. As Jennifer Mueller notes, the profession has traditionally worked "in the basement"—or, as she jokes, "the garden level"—even though trusted health information has always been foundational to quality healthcare.

    In this episode of Beyond the Blueprint, Jennifer Mueller, Senior Vice President of Health Information, Career Advancement, and Academic Affairs at AHIMA, joins co-hosts Keith Washington and Kristin Baird for a conversation about the evolving role of Health Information professionals and the workforce behind one of healthcare's most essential functions. Jennifer discusses why healthcare leaders should think beyond the traditional view of Health Information as "the department that manages records" and recognize its growing role in information governance, data quality, interoperability, and preparing organizations for an AI-enabled future.

    The conversation explores how AHIMA is helping prepare the next generation of Health Information professionals for a rapidly changing healthcare landscape while supporting today's workforce through education, credentials, and practical resources. Jennifer also shares why successful AI adoption begins with understanding the problem an organization is trying to solve, establishing thoughtful governance, and ensuring the quality and integrity of the information that powers every technology. As healthcare continues to evolve, trusted health information remains the foundation of quality healthcare.

    Key Takeaways
    • Why trusted health information remains the foundation of quality healthcare
    • Looking beyond medical coding to the strategic role of Health Information
    • Preparing healthcare organizations for AI through governance, not just technology
    • Building workforce skills for an information environment shaped by AI
    • Improving documentation, patient identity, and data quality before deploying AI
    • Bringing Health Information professionals into leadership conversations earlier
    • Why the future of AI depends on information that clinicians and patients can trust
    Episode Highlights

    00:00 | "We've Been in the Basement... or the Garden Level"
    01:23 | Introducing Jennifer Mueller and AHIMA's Mission
    04:36 | Advancing Trusted Health Information
    07:14 | Health Information vs. Health IT: What's the Difference?
    11:22 | AI Readiness Starts with Governance
    14:38 | Will AI Replace Health Information Professionals?
    16:58 | Why "Soft Skills" Are Becoming Power Skills
    20:10 | Patient Portals, Identity, and Trusted Records
    23:50 | Ambient AI, Coding, and the Human-in-the-Loop
    25:49 | The Future of the Health Information Profession
    27:50 | Looking Beyond "The Department That Manages Records"
    29:06 | Why the Future of AI Depends on Trusted Health Information

    Guest: Jennifer Mueller

    Host: Kristin Baird - Baird Group
    Co-host:
    Keith Washington - Companions in Courage Foundation
    Sponsored by:
    Simplifi Medical
    Audio/Video:
    Tim Jones - Health Nuts Media
    Marketing:
    Josh Troop - Troop-Creative
    Learn More at:
    www.beyond-blueprint.com

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    32 分
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