Podcast Summary: Advancing Cardiac Care Pathways with Innovation and Collaboration

Podcast: Becker’s Healthcare Podcast
Episode: Advancing Cardiac Care Pathways with Innovation and Collaboration
Date: October 21, 2025
Guests:

• Nick Wilson, Vice President of Product and Marketing, Philips Ambulatory Monitoring and Diagnostics
• Darren Batara, Manager of Nursing Innovation and Informatics, Academic Medical Center
  Host: Molly Gamble

Episode Overview

This episode explores how healthcare leaders are elevating cardiac care pathways through technological innovation and collaborative partnerships. The discussion centers on integrating new technologies—particularly artificial intelligence (AI) and analytics—into clinical workflows to improve patient outcomes, reduce clinician burden, and address challenges like efficiency, workforce shortages, and interoperability. The guests draw on their firsthand experience to share practical strategies, success stories, and key considerations for adopting impactful innovations in the complex healthcare landscape.

Key Discussion Points & Insights

1. Backgrounds and Roles (00:42–01:54)

• Nick Wilson explains his focus on supporting patients outside clinical settings, enabling providers to better diagnose and treat cardiac conditions through technology-enabled monitoring.

  “We work with large health systems...to identify and help diagnose particularly cardiac patients...and get them back into the health system so they can get the treatment and support they need.” (00:44–01:07)

• Darren Batara shares his 20+ year journey from critical care nursing to leading technology deployments and innovations at his institution.

  “…thrusted into a lot of telehealth technologies and really standing up a lot of technologies that would better serve the needs of our patients.” (01:32–01:53)

2. Maintaining High-Quality Care Amidst Uncertainty (01:54–03:29)

• Patient-Centered Approach as a Constant:
  • Darren emphasizes that consistent quality care stems from keeping patients at the center of every decision—through both technological and cultural shifts.
  • Highlights the need for new systems to fit into clinician workflows, not disrupt them.

    “...it can't be without the people who are delivering the care and incorporating them into the process...it needs to work along with the workflows that they're doing.” (02:39–03:22)

3. Technology Adoption: “It Has to Be 10x Better” (03:29–05:03)

• High Bar for Workflow Disruption:
  • Nick shares that, according to feedback from care leaders, new technology must be at least “10 times better” to justify workflow changes.
  • Efficiency and workflow compatibility are non-negotiable.

    “Unless what you’re bringing to me is clinically 10 times better, I can’t disrupt my workflow…workflow is going to eat everything else for lunch.” – Nick (03:43–04:19)

4. Interoperability & Workflow Integration (05:03–06:34)

• Key Requirements for New Technologies:
  • EMR Integration: Solutions must be EMR-native or fully interoperable, such as Philips’ recent integration with Epic.

    “Anything that is not in the EMR has to be fully interoperable with the EMR…if you’re not EMR-native, you’ve already introduced friction.” (05:17–05:44)

  • Operational AI: Focus on AI tools that summarize and trend clinical data, reducing time spent on reviewing patient histories.

    “We’ve developed a tool...It’s like ChatGPT for ECGs...over the last five ECGs, you know, AZ’s QT elongation has gotten worse.” (05:52–06:17)

  • Collaborative Design: Strong partnerships with clinicians are essential for understanding real pain points and avoiding unintended consequences.

5. Vendor-Provider Partnerships & Education (06:34–07:54)

• Co-Creation as a Differentiator:
  • Darren notes that vendors who truly partner—allowing clinicians to join in design, implementation, or education—drive better adoption and outcomes.
  • Importance of supporting clinician involvement at all stages for successful tech integration.

6. Real-World Example: Reducing Alarm Fatigue (08:41–10:44)

• Analytics for Smarter Monitoring:
  • Darren illustrates how dashboards and analytics can address persistent problems like alarm fatigue, benefiting both patients and clinicians.

    “Partnering with [Philips] to make sure we can reduce a lot of the noise...can be distracting to our clinicians. It can definitely cause some ailments to patients…now what we’re starting to see is a lot more advancements in these monitoring systems...” (09:27–10:39)

  • These insights inform targeted improvements and departmental feedback, a major shift from traditional methods.

7. The State and Future of AI in Cardiac Care (10:44–14:11)

• Clarifying “AI” and Its Applications:
  • Nick distinguishes between “clinical” AI (e.g., interpretative algorithms, currently lagging behind radiology due to regulations and need for validation) and “operational” AI (e.g., avatars for displaying patient status, workflow automation).

    “Using AI is like using the word Excel…You can use Excel to do a whole bunch of things… [AI] has become a general purpose tool.” (11:18–11:31) “Bias in AI scales to an n of n. It’s an infinite bias.” (13:13–13:22)

  • Operational uses carry lower risk and can rapidly alleviate cognitive load for clinicians.

8. Clinical vs. Operational AI—Impact on Clinician Experience (14:11–17:13)

• Reducing Cognitive Load and Interruptions:
  • Darren explains the invisible burden of cognitive work and documentation for clinicians, compounded by frequent interruptions.
  • Technologies that “think with you” (e.g., large language models, real-time decision support) can free up time and mental energy for care.

    “If we can make a technology do something easier for a clinician that doesn’t require as much cognitive loading…and we have a lot of evidence for that, this incorporation of large language models to extract, and to have a think partner…” (15:26–16:05)

  • AI-driven automation of routine tasks allows staff to prioritize urgent patient needs more efficiently.

9. The Rapid Pace of Change & Looking Ahead (17:13–19:31)

• Managing Demand and Regulatory Shifts:
  • Darren describes the challenge of managing rapid innovation and incoming requests for new solutions.
  • Anticipates upcoming regulatory changes (e.g., loosening of data collection requirements for reimbursement) will further accelerate integration of wearable tech and remote monitoring data.

    “…there are every day there just seems to be some new advancement...We’re actually having to put intake processes in place for how we prioritize these asks...” (17:41–18:01) “There will come a day when…that synonymous flow of data is able to go to clinicians...we may see some reduction in time [for] the chart inquiry…” (18:33–19:16)

Notable Quotes & Memorable Moments

• “Whatever we pursue...those two factors [system upgrades or culture] really sit at the heart of what we’re doing.”
  – Darren Batara (02:32–03:22)

• “Unless what you’re bringing to me is clinically 10 times better, I can’t disrupt my workflow.”
  – Nick Wilson relaying feedback from hospital leaders (03:43–03:57)

• “If you’re not EMR-native, you’ve already introduced friction to the clinicians.”
  – Nick Wilson (05:24–05:34)

• “It’s like ChatGPT for ECGs…”
  – Nick Wilson, on new operational AI tools in cardiac care (05:57–06:02)

• “Partnering with them to make sure that we can reduce a lot of the noise that we’ve put into these environments can be distracting to our clinicians.”
  – Darren Batara (09:33–09:49)

• “Using AI is like...using the word Excel...It’s become a general purpose tool.”
  – Nick Wilson (11:21–11:32)

• “Bias in AI scales to an n of n. It’s an infinite bias.”
  – Nick Wilson, on the risks of unchecked AI (13:13–13:22)

• “You actually can’t see cognition. We know that interruptions can be in the double digits in a 12 hour shift.”
  – Darren Batara (14:38–15:36)

• “We’re actually having to put intake processes in place for how we prioritize these asks as they come in.”
  – Darren Batara (17:51–17:58)

Timestamps of Important Segments

• 00:42–01:54 | Guest Introductions and Backgrounds
• 02:29–03:29 | The Unchanging Importance of Patient-Centered Care
• 03:39–05:03 | The “10x Clinical Benefit” Bar for Workflow Adoption
• 05:03–06:34 | Interoperability, EMR Integration, and AI as Decision Support
• 06:34–07:54 | The Role of Vendor-Provider Co-Creation and Education
• 08:41–10:44 | Real Example: Analytics to Reduce Alarm Fatigue
• 11:18–13:22 | Defining and Differentiating Clinical vs. Operational AI
• 14:34–16:46 | How AI Tools Can Reduce Cognitive Load for Clinicians
• 17:40–19:31 | Managing the Acceleration of Requests and Tech Advancements
• 19:43–20:44 | Final Thoughts: Collaboration & “Doing Due Diligence” Before Implementing Tech

Final Takeaways

• The integration of technology in cardiac care must always keep clinical workflows and patient-centeredness front and center.
• Interoperability, operational AI, education, and collaborative partnerships between vendors and providers are critical for the successful adoption and impact of new digital solutions.
• Rapid advances in AI and analytics present enormous promise, especially for reducing alarm fatigue and clinician cognitive load, but require careful regulation, validation, and attention to bias.
• Both clinical and operational AI will continue to evolve, but the speed of change—particularly on the operational side—requires robust intake and evaluation processes within health systems.

For further insights and episodes, visit the Becker’s Healthcare Podcast page.