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What’s next in healthcare? Analyzing Healthcare delivers expert insights, real-world case studies, and bold ideas shaping the future of U.S. & global health systems. Hosted by Roy Bejarano and Jason Schifman of SCALE Healthcare & SCALE Community, each episode explores medical innovation, healthcare leadership, value-based care, provider operations, health policy, artificial intelligence, & emerging health trends. Whether you're a provider, investor, operator, or simply healthcare curious—this podcast helps you stay informed, inspired, & ahead of the curve. More info at www.scale-community.com
Top 56.1% by pitch volume (Rank #28056 of 50,000)Data updated Feb 10, 2026

Key Facts

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Daily or near-daily
Episodes
100
Founded
N/A
Category
Business
Number of listeners
Private
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Canonical: https://podpitch.com/podcasts/analyzing-healthcare
Cadence: Active weekly
Reply rate: Under 2%

Latest Episodes

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Is AI the First Technology Doctors Actually Trust? Robert Wachter, Author & Chair of Medicine, UCSF

Wed Feb 04 2026

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Bob Wachter on AI in healthcare, EMRs, digital health, clinician burnout, and why generative AI may succeed where healthcare technology failed. In this episode of Analyzing Healthcare, Jason Schifman speaks with Bob Wachter, Chair of Medicine at UCSF and author of A Giant Leap, on why AI may finally transform healthcare. Wachter explains how EMRs increased administrative burden without delivering productivity gains, and why generative AI marks a shift by making clinical data and decision-making computable. The conversation covers real-world AI adoption—scribes, chart summarization, and decision support—while examining ROI, clinical risk, and human oversight. Wachter emphasizes that AI won’t fix healthcare’s incentives, but it can meaningfully improve clinician experience and care delivery. What You’ll Learn Why EMRs digitized healthcare without transforming it What makes generative AI fundamentally different from prior health IT waves Where AI delivers real value today—and where it still falls short Why clinician experience may be AI’s strongest early ROI How AI could reshape diagnosis, testing, and treatment decisions The risks of human–AI collaboration in clinical care Why AI can improve healthcare without replacing doctors Key Timestamps (00:00) Introduction to Bob Wachter and AI in healthcare (04:13) Why EMRs failed to transform healthcare delivery (09:37) General-purpose technology and healthcare digitization (15:42) Why AI adoption is happening “suddenly,” not gradually (19:38) What makes generative AI different from past tools (34:03) AI scribes: adoption, experience, and ROI reality (38:15) Clinical decision support as AI’s true “home run” (44:16) Unintended consequences and the human-in-the-loop risk Key Takeaways 💎 Digitization alone does not equal transformation 💎 Generative AI enables healthcare data to become computable 💎 Clinician experience is a critical early driver of AI adoption 💎 Real cost savings depend on changing clinical decisions, not documentation 💎 AI can improve healthcare without fixing broken incentives 💎 Human oversight introduces new risks alongside new benefits Guest Bob Wachter, MDChair, Department of Medicine, UCSFAuthor, A Giant Leap: How AI Is Transforming Healthcare and What It Means for Our Future Guest Bio Bob Wachter, MD, is Professor and Chair of the Department of Medicine at the University of California, San Francisco, and a nationally recognized leader in healthcare quality, safety, and innovation. He coined the term “hospitalist,” the fastest-growing medical specialty in U.S. history, and has authored six books and hundreds of articles on health technology and policy. His 2015 book The Digital Doctor was a New York Times bestseller, and his latest, A Giant Leap, explores AI’s impact on care. Subscribe Subscribe to Analyzing Healthcare for candid conversations with healthcare leaders, clinicians, and system builders exploring healthcare strategy, AI in healthcare, digital health, and the future of care delivery. Visit Scale Community- www.scale-commmunity.com to access exclusive healthcare insights, member-only recordings, and leadership perspectives from across the global healthcare ecosystem. Keywords AI in healthcare, Bob Wachter, healthcare innovation, electronic health records, EMR adoption, digital health, clinical decision support, physician, healthcare productivity, healthcare costs, healthcare technology, affordable healthcare, healthcare solutions, healthcare access, Healthcare Podcast, Healthcare Trends and Innovations, Healthcare Strategies, Leading Healthcare Stakeholders, Thought Leaders in Healthcare, Healthcare Industry Insights, Healthcare Innovations, Healthcare Strategy, Latest Trends in Healthcare, Healthcare Thought Leadership, Scale Healthcare, Roy Bejarano, Scale Community, Jason Schifman

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Bob Wachter on AI in healthcare, EMRs, digital health, clinician burnout, and why generative AI may succeed where healthcare technology failed. In this episode of Analyzing Healthcare, Jason Schifman speaks with Bob Wachter, Chair of Medicine at UCSF and author of A Giant Leap, on why AI may finally transform healthcare. Wachter explains how EMRs increased administrative burden without delivering productivity gains, and why generative AI marks a shift by making clinical data and decision-making computable. The conversation covers real-world AI adoption—scribes, chart summarization, and decision support—while examining ROI, clinical risk, and human oversight. Wachter emphasizes that AI won’t fix healthcare’s incentives, but it can meaningfully improve clinician experience and care delivery. What You’ll Learn Why EMRs digitized healthcare without transforming it What makes generative AI fundamentally different from prior health IT waves Where AI delivers real value today—and where it still falls short Why clinician experience may be AI’s strongest early ROI How AI could reshape diagnosis, testing, and treatment decisions The risks of human–AI collaboration in clinical care Why AI can improve healthcare without replacing doctors Key Timestamps (00:00) Introduction to Bob Wachter and AI in healthcare (04:13) Why EMRs failed to transform healthcare delivery (09:37) General-purpose technology and healthcare digitization (15:42) Why AI adoption is happening “suddenly,” not gradually (19:38) What makes generative AI different from past tools (34:03) AI scribes: adoption, experience, and ROI reality (38:15) Clinical decision support as AI’s true “home run” (44:16) Unintended consequences and the human-in-the-loop risk Key Takeaways 💎 Digitization alone does not equal transformation 💎 Generative AI enables healthcare data to become computable 💎 Clinician experience is a critical early driver of AI adoption 💎 Real cost savings depend on changing clinical decisions, not documentation 💎 AI can improve healthcare without fixing broken incentives 💎 Human oversight introduces new risks alongside new benefits Guest Bob Wachter, MDChair, Department of Medicine, UCSFAuthor, A Giant Leap: How AI Is Transforming Healthcare and What It Means for Our Future Guest Bio Bob Wachter, MD, is Professor and Chair of the Department of Medicine at the University of California, San Francisco, and a nationally recognized leader in healthcare quality, safety, and innovation. He coined the term “hospitalist,” the fastest-growing medical specialty in U.S. history, and has authored six books and hundreds of articles on health technology and policy. His 2015 book The Digital Doctor was a New York Times bestseller, and his latest, A Giant Leap, explores AI’s impact on care. Subscribe Subscribe to Analyzing Healthcare for candid conversations with healthcare leaders, clinicians, and system builders exploring healthcare strategy, AI in healthcare, digital health, and the future of care delivery. Visit Scale Community- www.scale-commmunity.com to access exclusive healthcare insights, member-only recordings, and leadership perspectives from across the global healthcare ecosystem. Keywords AI in healthcare, Bob Wachter, healthcare innovation, electronic health records, EMR adoption, digital health, clinical decision support, physician, healthcare productivity, healthcare costs, healthcare technology, affordable healthcare, healthcare solutions, healthcare access, Healthcare Podcast, Healthcare Trends and Innovations, Healthcare Strategies, Leading Healthcare Stakeholders, Thought Leaders in Healthcare, Healthcare Industry Insights, Healthcare Innovations, Healthcare Strategy, Latest Trends in Healthcare, Healthcare Thought Leadership, Scale Healthcare, Roy Bejarano, Scale Community, Jason Schifman

Key Metrics

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Pitches sent
12
From PodPitch users
Rank
#28056
Top 56.1% by pitch volume (Rank #28056 of 50,000)
Average rating
N/A
Ratings count may be unavailable
Reviews
1
Written reviews (when available)
Publish cadence
Daily or near-daily
Active weekly
Episode count
100
Data updated
Feb 10, 2026
Social followers
345

Public Snapshot

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Country
United States
Language
English
Language (ISO)
Release cadence
Daily or near-daily
Latest episode date
Wed Feb 04 2026

Audience & Outreach (Public)

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Audience range
Private
Hidden on public pages
Reply rate band
Under 2%
Public band
Response time band
Private
Hidden on public pages
Replies received
Private
Hidden on public pages

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Presence & Signals

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Social followers
345
Contact available
Yes
Masked on public pages
Sponsors detected
No
Guest format
No

Social links

No public profiles listed.

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Monthly listeners49,360
Reply rate18.2%
Avg response4.1 days
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Frequently Asked Questions About Analyzing Healthcare

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What is Analyzing Healthcare about?

What’s next in healthcare? Analyzing Healthcare delivers expert insights, real-world case studies, and bold ideas shaping the future of U.S. & global health systems. Hosted by Roy Bejarano and Jason Schifman of SCALE Healthcare & SCALE Community, each episode explores medical innovation, healthcare leadership, value-based care, provider operations, health policy, artificial intelligence, & emerging health trends. Whether you're a provider, investor, operator, or simply healthcare curious—this podcast helps you stay informed, inspired, & ahead of the curve. More info at www.scale-community.com

How often does Analyzing Healthcare publish new episodes?

Daily or near-daily

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