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I Don't Care

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Candid healthcare leadership conversations with Kevin Stevenson

I Don't Care with Dr. Kevin Stevenson, FACHE, is a healthcare leadership podcast that addresses the most pressing trends, challenges, and debates in the healthcare industry. Dr. Stevenson brings a candid, executive-level perspective to topics ranging from revenue cycle management to nursing workforce issues, speaking with practitioners and leaders across the sector. The show is produced by MarketScale and serves healthcare professionals seeking unfiltered industry insight.

197 episodes
Channel Brief·I Don't Care · 197 episodes
Updated Sep 29, 2026

Healthcare moves slow because leaders won't decide fast

The I Don't Care channel argues that healthcare's real crisis is not data, strategy, or even money—it is governance, decision-making speed, and the gap between physician intent and organizational reality. Every episode grounds this claim in a named executive or clinician.

I Don't Care operates on a single thesis: healthcare organizations possess abundant information, capital, and talent but fail to translate them into outcomes because they do not decide. The channel repeats this claim across 25 episodes featuring executives, physicians, entrepreneurs, and policy leaders. The proof is always the same: a named person describing a specific operational or clinical failure traceable to slow governance, misaligned incentives, or the absence of a decision-maker with real authority.

Drawn from Who's Really Running Healthcare? (When Physici… and 2 more →

“Have you ever met any company CIO or CEO who says their data is 100% clean?”

Deepak Mittal, founder and CEO of NextGen Invent

By the numbers

1 in 4

Medicare patients return within 14 days after post-acute discharge

$100M+

Some U.S. hospitals spend exceeding this on EMR implementations alone

86,000

Estimated physician shortage in the U.S. by 2036 according to AAMC

>50%

McKinsey data shows U.S. healthcare leaders have deployed generative AI

What the channel argues

DataRoughly 25% of Medicare patients discharged to post-acute care return within 14 days due to poor placement fit.→
InsightBedConnect pre-matches patients to facilities based on clinical needs, payer participation, and bed availability rather than blasting referrals.→
InsightPhysicians feel disengaged from organizational decisions despite being responsible for care delivery and closest to patients.→
DataIn urology alone, roughly 1,100 open positions exist but only about 400 new specialists trained each year.→
InsightHealthcare organizations often move slowly on decisions due to consensus-driven governance, unclear decision authority, and misaligned incentives.→
InsightAI pilots should begin with a defined problem and suitable data subset rather than waiting for perfectly organized organization-wide data.→

What you'll learn

•Why a placement is accepted by a facility does not mean it is clinically appropriate, and how pre-matching improves discharge outcomes.
•Physician burnout is often a symptom of lack of voice in organizational decisions rather than workload alone.
•Specialty care has a structural supply-demand crisis that traditional employment models cannot solve, driving physician entrepreneurship.
•Healthcare leaders must balance deliberate decision-making with speed, because slow decisions drain organizational capacity as much as bad ones.
•AI adoption in healthcare stalls not because data is imperfect but because organizations lack governance structures to ensure accountability and bias monitoring.

What to do about it

→Measure discharge success at the receiving facility through readmissions and clinical outcomes, not at the hospital discharge door.
→Build governance structures that clearly assign decision authority to named individuals or committees, with defined timelines and accountability for outcomes.
→Create pathways for frontline physicians to participate meaningfully in organizational decisions about care delivery, staffing, and technology adoption.

Who and what shows up

Lindsey Joseph

Founder and CEO of BedConnect

Articulates why referral blasts find available beds but not clinical fits, and how pre-matching improves discharge outcomes.

Deepak Mittal

Founder and CEO of NextGen Invent

Argues that waiting for perfect data is the single most costly assumption in healthcare AI and advocates scoped pilots with early governance.

Dr. Julia Rehman

Healthcare executive and digital transformation leader

Emphasizes that data richness without governance, human judgment, and frontline engagement limits technology ROI in healthcare.

Dr. Krishna Vedala

Practicing internist and obesity medicine specialist

Explains why physicians feel disengaged from organizational decisions and how AI's highest value is reducing administrative burden, not replacing judgment.

Mark Van Sumeren

Healthcare strategist with 45-year career in health systems, consulting, and private equity

Frames decision-making speed as organizational capacity and advocates deliberate speed without letting deliberation become the obstacle.

Questions this channel answers

Q

Why do healthcare organizations move slower than other industries?

Consensus-driven governance, unclear decision authority, misaligned incentives, and reluctance to accept failure slow decisions. Mark Van Sumeren argues that decision pace equals capacity, and deliberation itself becomes the obstacle.

The Cost of Waiting: Why Healthcare Can't Afford Slow De… →
Q

What is the real source of physician burnout?

Physicians lack meaningful voice in organizational decisions despite being closest to patients and responsible for care delivery. Primary care is managed with productivity expectations designed for procedural specialties, pushing complex decision-making off-hours.

Who's Really Running Healthcare? (When Physicians No Lon… →
Q

Why do post-acute care placements fail so often?

Referral blasts send patient information to multiple facilities and accept whoever responds first, not whoever is clinically appropriate. BedConnect pre-matches patients to facilities based on clinical needs, payer participation, and actual bed availability before families see options.

BedConnect’s Lindsey Joseph on matching post-acute care … →
Q

Should healthcare AI pilots wait for clean data?

No. Waiting for 100% clean organization-wide data delays projects without improving safety. Deepak Mittal advocates starting with a defined problem and reliable data subset, paired with governance structures like NIST's voluntary AI Risk Management Framework.

NextGen Invent’s Deepak Mittal argues for scoped healthc… →
Q

How can healthcare address specialty care shortages?

Traditional employment models cannot keep pace with demand. Dr. Joe Pazona's VirtuCare model uses physician entrepreneurship and partnership networks to expand specialty access across multiple states and rural areas.

A Physician Entrepreneur's Journey in Specialty Care Exp… →
Topics:Physician autonomy and governancePost-acute care transitions and bed placementHealthcare AI deployment and data readinessSpecialty care workforce and entrepreneurshipCare delivery models and virtual care
Themes:Governance and decision-making velocity as the true constraint on healthcare performancePhysician autonomy and voice as foundational to both care quality and workforce retentionTechnology and AI as tools to support clinical judgment and reduce burden, not replace human decision-making

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