Episode

607 - Bringing Consistency to Complexity Through AI-Driven Decision Support

Podcast
Talking HealthTech
Published
May 13, 2026
Duration seconds
2161
Processing state
not_requested
Canonical source
https://www.talkinghealthtech.com/podcast
Audio
https://pscrb.fm/rss/p/episodes.captivate.fm/episode/44673bfb-7d79-48d3-a6dc-76762cf10aeb.mp3
JSON
/v1/public/podcasts/talking-healthtech-773483/episodes/607-bringing-consistency-to-complexity-through-ai-driven-decision-support
Markdown
/podcast/talking-healthtech-773483/607-bringing-consistency-to-complexity-through-ai-driven-decision-support.md

Actions

  • POST https://stenobird.com/v1/public/podcasts/talking-healthtech-773483/episodes/607-bringing-consistency-to-complexity-through-ai-driven-decision-support/transcription-requests
    Idempotently request low-priority transcript generation for this episode.
  • GET https://stenobird.com/podcast/talking-healthtech-773483/607-bringing-consistency-to-complexity-through-ai-driven-decision-support.md
    Read the agent-friendly Markdown representation of this episode resource.

Summary

In this episode of Talking HealthTech, Peter Birch speaks with Simon Taylor Cross, Chief Commercial Officer, and Dr Daniel Stiglitz, Director & Co-Founder at Atidia Health. Together, they explore the realities of perioperative care today, including the challenges created by variability in pre-surgery patient management and what that means for both patient safety and system performance. The conversation looks closely at how Atidia Health’s Patient Optimiser Platform (POP) uses clinical decision support and AI to identify risk earlier, support more consistent care, and help clinicians make better-informed decisions without disrupting existing workflows. It also unpacks what it actually takes to implement technology in real hospital settings, from change management and clinician engagement to aligning stakeholders across complex health systems. Along the way, the episode highlights a broader question facing healthcare today: how can we reduce preventable harm while systems grow more complex and clinicians face increasing pressure? This discussion offers practical insights into the intersection of clinical practice, digital health, and real-world implementation, highlighting how smarter, evidence-based approaches can support safer and more reliable patient outcomes. Key Takeaways 🔍 Variability in preoperative care leads to inconsistent patient outcomes, with a significant proportion of complications being preventable 🤝 Embedding clinical expertise with technology and commercial strategy is essential for building effective solutions like POP ⚙️ POP is designed to work within existing healthcare workflows, ensuring support rather than disruption for clinicians and staff 💡 Early identification and intervention using data-driven decision support can prevent adverse events…