Jellypod

TIME Podcast

Health EN ↓ Odcinki: 30

Welcome to TIME26, the podcast series exploring the intersection of cutting-edge technology and frontline critical care. From emergency departments to intensive care units, we unpack how digital health, AI, and data-driven tools are transforming trauma, resuscitation, and high-stakes decision-making. Join leading clinicians, researchers, and innovators as we interrogate the evidence, examine real-world applications, and consider the future of care through a global, equitable, and ethically grounded lens. (Powered by Jellypod)

Koniecznie odwiedź stronę podcastu i wesprzyj twórcę: time-podcast-i7ujnk.jellypod.com

Autor

Jellypod

Kategoria

Health

Ostatni odcinek

3 lut 2026

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Odcinki

Emergency Airway Management: From Devices to Systems 27.01.2026

In this TIME episode, Jeremy and Hamish examine high-impact changes in emergency airway management across ED, ICU, and retrieval settings, including the role of videolaryngoscopy, structured oxygenation strategies, human-factors-driven algorithms, and ANZCA PG56–aligned airway governance. Drawing on contemporary trials, registry data, and guideline updates, the discussion focuses on how first-pass...

Navigating Blood Pressure in Acute Spinal Cord Injury 27.01.2026

This episode dives into the latest evidence and debates around optimal blood pressure targets after traumatic spinal cord injury. Hosts Jeremy and Hamish discuss guidelines, pathophysiological rationale, and the evolving role of technology and monitoring in ICU and trauma care settings.

AI in ED QI 27.01.2026

Jeremy and Hamish explore how artificial intelligence can pinpoint gaps in emergency care. They discuss successful case studies, emerging research, and practical tools helping clinicians bridge those gaps. Join this episode to hear real-life examples of AI’s role in shaping safer emergency departments.

AI in Trauma Care: Evidence, Challenges, and Next Steps 27.01.2026

Explore how artificial intelligence is reshaping trauma resuscitation, from haemorrhage prediction to workflow optimisation. Jeremy and Hamish break down recent evidence, highlight real-world clinical challenges, and discuss the future of equitable, context-aware AI systems in critical care.

What Every Doctor Should Know About AI in Medical Research 27.01.2026

Dive deep into the essentials of AI in medical research. Learn the types of AI tools, understand potential biases, and explore the key ethical considerations that every clinician needs to know in order to interpret modern clinical studies confidently.

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