What if managing daily life isn’t about being more productive—but feeling less overwhelmed?

In this episode of The HealthCast, Phil Zappone sits down with Matt Canning, founder and CEO of NoPlex AI, to discuss his approach to “chaos management.” Inspired by his daughter’s experience with ADHD, Matt set out to build a simpler way to manage everyday tasks, responsibilities, and routines.

Matt explains why traditional productivity tools can fall short for people with ADHD and how NoPlex approaches reducing friction and decision fatigue. He also shares leadership lessons from his engineering career, the challenges of growing a consumer app, and his perspective on AI, fragmented healthcare data, and personalized care.

In this episode:
• The family story behind NoPlex.
• Designing for simplicity with the “shortest path to intent.”
• ADHD awareness, social media, and changing workplace conversations.
• Supporting employees while giving experienced team members autonomy.
• Turning collected data into actionable insights.
• Scaling a business without overengineering.
• Opportunities for AI in personalized care and elder care.

CHAPTERS
00:00 Introduction
00:49 What is NoPlex?
01:54 The name and designing for simplicity
03:44 The family story behind the app
05:56 Why rethink productivity tools?
10:47 Social media and ADHD awareness
12:30 Matt’s personal mission
14:37 Leadership lessons and building teams
18:44 Decision fatigue and everyday overwhelm
24:02 Fragmented data and actionable insights
26:18 Meaningful user feedback
27:07 The challenges of growing NoPlex
28:24 Innovation, trust, and organizational buy-in
29:51 Rethinking how healthcare information connects
33:20 Scaling without overengineering
35:26 Healthcare opportunities and elder care challenges
37:15 AI’s potential in medical imaging
39:41 Personalization in apps and healthcare
40:43 What’s next for NoPlex?
41:45 Where to learn more

Episode Resources:
Website | https://www.noplex.com/

Check out what I do helping small businesses here:
Website | https://nxaihealth.com/
LinkedIn | https://www.linkedin.com/in/phil-zappone-647957379/

Subscribe to The HealthCast for more conversations with the people shaping healthcare.

What if healthcare learners could see how disease progresses—and explore the consequences of clinical decisions—in a simulated human body?

In this episode of The HealthCast, Phil Zappone sits down with Dr. Aaron Smith, Chief Medical Officer, and Heather Tuttle, Chief Nursing Officer at AI Body, to discuss how digital physiology simulation can connect classroom learning with clinical practice.

They explain how AI Body’s physiology-based models make complex concepts visual and interactive, giving students and practicing clinicians opportunities to explore disease progression and treatment responses. The conversation covers their journeys from bedside care into healthcare technology, the challenges facing new clinicians, and why frontline involvement matters when building tools healthcare teams will actually use.

Topics include:
• Connecting physiology education with clinical decision-making.
• Supporting learner confidence, engagement, and retention.
• Recognizing deterioration before a patient needs rescue.
• Simulating burn injuries and fluid resuscitation for professional education.
• Using constrained large language models with human oversight.
• Building clinician trust through collaboration.
• Preparing for AI’s potential impact on healthcare roles and scopes of practice.

CHAPTERS
00:00 Introduction
00:53 What is AI Body?
02:55 Dr. Aaron Smith’s journey from the NHS to healthcare technology
04:37 Heather Tuttle’s path from emergency nursing to product development
08:08 Why healthcare education needs to evolve
11:54 Workforce shortages and retaining new clinicians
16:21 The personal purpose behind their work
21:59 Becoming part of the solution
23:52 Making physiology visual and interactive
28:01 Applications in higher education
30:54 Burn simulation and professional development
34:13 Why collaboration matters in healthcare innovation
39:16 Technology adoption challenges
41:15 Scaling a physiology platform
43:22 Building clinician trust
46:05 AI, clinical training, and the future of healthcare
52:33 Where to learn more about AI Body

Learn more about AI Body: https://www.aibody.io

Episode Resources:
Website | https://www.aibody.io
LinkedIn | https://www.linkedin.com/company/aibody/
Aaron | https://www.linkedin.com/in/dr-aaron-smith/
Heather | https://www.linkedin.com/in/heatherdaretuttlern/

Check out what I do helping small businesses here:
Website | https://nxaihealth.com/
LinkedIn | https://www.linkedin.com/in/phil-zappone-647957379/

Subscribe to The HealthCast for more conversations with the people shaping healthcare.

When AI influences a clinical decision, who owns the outcome?

In this episode of The Healthcast, Phil Zappone sits down with Michael Tekely, founder of Medical Malpractice Insurance and Clinical Risk Management Academy LLC, to explore how AI is changing the conversation around patient safety, clinical judgment, and accountability.

Drawing on his experience in malpractice insurance and clinical risk management, Michael discusses why healthcare organizations need to document how AI recommendations influence care—and how clinicians respond to them. He also introduces his framework and prototype tool for reconstructing AI-influenced clinical events.

In this episode:
• Potential gaps between AI adoption and malpractice insurance coverage.
• Why clear documentation matters when investigating adverse outcomes.
• Tracking AI recommendations, system versions, and independent clinical judgment.
• How workplace culture and workflow pressures affect clinicians’ ability to question AI.
• Michael’s perspective on AI and informed consent.
• Three priorities for hospital leaders preparing to deploy clinical AI.

Chapters:
00:19 — Introduction: AI, medicine, and malpractice
00:50 — Michael’s background in malpractice insurance
02:38 — A case that revealed the importance of documentation
06:23 — AI adoption and insurance coverage concerns
08:54 — A lawsuit that shaped Michael’s thinking about AI risk
14:48 — Building a culture of communication and accountability
18:01 — Reconstructing an AI-influenced clinical decision
24:39 — Michael’s academy, framework, and prototype tool
26:16 — What happens when clinicians follow AI recommendations?
27:53 — The human impact of malpractice and informed consent
29:39 — Will AI reduce malpractice or shift the risk?
30:43 — Three priorities for hospital leaders
31:51 — Opportunities and challenges ahead
33:18 — Protecting clinicians and improving patient outcomes
35:35 — Where to connect with Michael

Episode Resources:
LinkedIn | https://www.linkedin.com/in/michaeltekely/

Check out what I do helping small businesses here:
Website | https://nxaihealth.com/
LinkedIn | https://www.linkedin.com/in/phil-zappone-647957379/

Subscribe to The HealthCast for more conversations with the people shaping healthcare.