In this AMDIS collaboration, Dr. Mark Pierce (former Parkview Health), Dr. Howard Landa (Adventist Health), and Dr. John Lee (HIT Peak Advisors) examine why data governance is ultimately a patient-care issue, not just an IT function. Drawing on real bedside decisions, EHR transitions, and conflicting metrics, they show how unclear definitions and hidden data create hesitation, workarounds, and loss of clinician trust. Together, they discuss the leadership commitment and investment required to improve data quality, and why clean data is the prerequisite for safe and meaningful AI in healthcare.

• Unclear data definitions slow care — clinicians pause, double-check, or guess at the bedside.
• Data governance is a patient-safety function, not an IT committee exercise.
• Most data problems are silent — staff create workarounds instead of reporting issues.
• Different departments define the same metric differently, eroding organizational trust.
• Leadership wants fast ROI, but governance requires long-term investment and persistence.
• AI magnifies bad data — clean inputs matter more than advanced algorithms.
• Use AI first to clean and structure data before deploying clinical AI tools.
• Start governance with visible problems (e.g., length-of-stay definitions, data sharing).
• Tie governance efforts to active initiatives to gain momentum and participation.
• Organizations rarely advertise good governance — you see it in outcomes, not org charts.
• Clinician trust is fragile; one bad data-driven decision can last for years.
• Accessible, synthesized data enables faster decisions and real improvement cycles.

00:00 | Why Data Governance Gets Ignored
02:01 | Data Governance as a Patient-Safety Issue
04:25 | When Data Helps — and When It Slows Care
06:29 | Too Much Information, Not Enough Clarity
09:14 | The "Raiders of the Lost Ark" Data Warehouse Problem
11:04 | Why Leaders Delay Governance Work
13:06 | The Real Investment Required
14:28 | The PD-Not-PDSA Cycle in Healthcare
15:16 | AI Fails Without Clean Data
16:55 | What Breaks When Definitions Differ
18:05 | Bad Data at the Bedside: A Stroke Decision
20:19 | How Trust in Data Is Lost
23:13 | Silent Workarounds Across Hospitals
25:18 | Where Organizations Should Start
27:15 | Making Data Actionable for Clinicians
29:26 | Governance as Organizational DNA
31:24 | Aligning AI Governance With Data Governance
32:13 | Use AI to Clean Data First
34:15 | Bias, Training Data, and Clinical Risk
36:29 | Final Message: When Rules Are Unclear, Care Suffers

Guests: Dr. Mark Pierce, Dr. Howard Landa, Dr. John Lee
Host: Gregg Malkary - Lighthouse Healthtech
Cohost: Keith Washington - Companions in Courage Foundation
Sponsored by: Simplifi Medical & Storage Systems Unlimited
Audio/Video: Tim Jones - Health Nuts Media
Marketing: Josh Troop - Troop-Creative
Learn More at: www.beyond-blueprint.com