PodcastsRank #2006
Artwork for Talking HealthTech

Talking HealthTech

TechnologyPodcastsENaustraliaSeveral times per week
4.2 / 5
Conversations with clinicians, vendors, policy makers and decision makers to promote innovation and collaboration for better healthcare enabled by technology. Learn about digital health, medical devices, medtech, biotech, health informatics, life sciences, aged care, disability, commercialisation, startups and so much more.
Top 4% by pitch volume (Rank #2006 of 50,000)Data updated Feb 10, 2026

Key Facts

Publishes
Several times per week
Episodes
603
Founded
N/A
Category
Technology
Number of listeners
Private
Hidden on public pages

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Public snapshot
Audience: 8K–20K / month
Canonical: https://podpitch.com/podcasts/talking-healthtech
Cadence: Active weekly
Reply rate: 2–5%

Latest Episodes

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582 - North Star vs Shiny Star: Supporting Healthcare Workers and Patient Outcomes with AI

Wed Feb 04 2026

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In this episode of Talking HealthTech, Peter Birch speaks with Dominique Powis, Chief Technology Officer at Infomedix, Dr John Lambert, Chief Clinical Information Officer for the Department of Health Tasmania, and Dr Jill Freyne, Health Industry Lead at Amazon Web Services. They discuss the practical applications of artificial intelligence in healthcare and explore its real-world operational impact. The conversation also includes insights from attendees during a live Q&A session, offering a unique opportunity to hear questions and challenges directly from healthcare professionals and technology leaders. The panel dives into real-world use cases of AI, including diagnostics, predictive analytics, improving patient outcomes, and boosting administrative efficiency. They also examine the critical importance of governance, privacy, and practical implementation when integrating AI into everyday clinical workflows. This episode was recorded live at AWS in Sydney, Australia, and is supported by Infomedix, providing an up-close look at how healthcare AI is being applied in local and global contexts. Key Takeaways ⭐ Clear problem definition, high-quality data, and context-specific solutions are crucial to successful AI applications in healthcare 🤖 Predictive AI currently offers proven impact in areas such as diagnostics and early detection, while generative AI introduces unique challenges 🧑‍⚕️ Human-centred design, usability, and workflow integration are critical to successful technology adoption and patient benefit 🔒 Privacy, compliance, and ethical guardrails must evolve with technological advancements, particularly in data handling and patient confidentiality 🌏 Sustainability, change management, and continuous improvement are essential considerations in deploying and scaling AI across the health ecosystem Timestamps 00:00 – Introduction & event overview 02:00 – Panellist introductions & AI use cases 06:35 – AI pattern recognition benefits 08:39 – Sniff test for viable AI solutions 10:23 – Administrative AI applications 12:45 – Impact opportunities: patient & clinician 14:28 – Administrative vs clinical AI focus 15:35 – Evidence and business cases for ambient scribes 20:06 – Guardrails and governance in AI 22:35 – Change management for AI rollouts 26:30 – Practical advice: North Star vs shiny distractions 32:09 – Audience Q&A: patient privacy, data use 37:39 – Use of AI in culturally diverse aged care settings 44:06 – AI risks, safety, technical guardrails 48:11 – Sustainability and long-term impact ---------- Want to keep the conversation going? The full article and extended show notes for this episode are available inside the THT+ Community here: View Full Article In the THT+ Community, our members keep the discussion going, share perspectives, and unpack what this episode actually means in practice with other people working in healthtech. If you’re enjoying the show and want access to full articles, episode discussions, meetups, and member-only content, you can learn more about becoming a THT+ Solo Member here: talkinghealthtech.com/thtplus. And if this episode was useful, leaving a review or sharing it with someone in the industry always helps. Mentioned in this episode: This episode is supported by Vanta - the platform trusted by 14,000+ companies to get SOC 2 and ISO audit-ready...

More

In this episode of Talking HealthTech, Peter Birch speaks with Dominique Powis, Chief Technology Officer at Infomedix, Dr John Lambert, Chief Clinical Information Officer for the Department of Health Tasmania, and Dr Jill Freyne, Health Industry Lead at Amazon Web Services. They discuss the practical applications of artificial intelligence in healthcare and explore its real-world operational impact. The conversation also includes insights from attendees during a live Q&A session, offering a unique opportunity to hear questions and challenges directly from healthcare professionals and technology leaders. The panel dives into real-world use cases of AI, including diagnostics, predictive analytics, improving patient outcomes, and boosting administrative efficiency. They also examine the critical importance of governance, privacy, and practical implementation when integrating AI into everyday clinical workflows. This episode was recorded live at AWS in Sydney, Australia, and is supported by Infomedix, providing an up-close look at how healthcare AI is being applied in local and global contexts. Key Takeaways ⭐ Clear problem definition, high-quality data, and context-specific solutions are crucial to successful AI applications in healthcare 🤖 Predictive AI currently offers proven impact in areas such as diagnostics and early detection, while generative AI introduces unique challenges 🧑‍⚕️ Human-centred design, usability, and workflow integration are critical to successful technology adoption and patient benefit 🔒 Privacy, compliance, and ethical guardrails must evolve with technological advancements, particularly in data handling and patient confidentiality 🌏 Sustainability, change management, and continuous improvement are essential considerations in deploying and scaling AI across the health ecosystem Timestamps 00:00 – Introduction & event overview 02:00 – Panellist introductions & AI use cases 06:35 – AI pattern recognition benefits 08:39 – Sniff test for viable AI solutions 10:23 – Administrative AI applications 12:45 – Impact opportunities: patient & clinician 14:28 – Administrative vs clinical AI focus 15:35 – Evidence and business cases for ambient scribes 20:06 – Guardrails and governance in AI 22:35 – Change management for AI rollouts 26:30 – Practical advice: North Star vs shiny distractions 32:09 – Audience Q&A: patient privacy, data use 37:39 – Use of AI in culturally diverse aged care settings 44:06 – AI risks, safety, technical guardrails 48:11 – Sustainability and long-term impact ---------- Want to keep the conversation going? The full article and extended show notes for this episode are available inside the THT+ Community here: View Full Article In the THT+ Community, our members keep the discussion going, share perspectives, and unpack what this episode actually means in practice with other people working in healthtech. If you’re enjoying the show and want access to full articles, episode discussions, meetups, and member-only content, you can learn more about becoming a THT+ Solo Member here: talkinghealthtech.com/thtplus. And if this episode was useful, leaving a review or sharing it with someone in the industry always helps. Mentioned in this episode: This episode is supported by Vanta - the platform trusted by 14,000+ companies to get SOC 2 and ISO audit-ready...

Key Metrics

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Pitches sent
72
From PodPitch users
Rank
#2006
Top 4% by pitch volume (Rank #2006 of 50,000)
Average rating
4.2
Ratings count may be unavailable
Reviews
1
Written reviews (when available)
Publish cadence
Several times per week
Active weekly
Episode count
603
Data updated
Feb 10, 2026
Social followers
5.7K

Public Snapshot

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Country
Australia
Language
English
Language (ISO)
Release cadence
Several times per week
Latest episode date
Wed Feb 04 2026

Audience & Outreach (Public)

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Audience range
8K–20K / month
Public band
Reply rate band
2–5%
Public band
Response time band
30+ days
Public band
Replies received
21–50
Public band

Public ranges are rounded for privacy. Unlock the full report for exact values.

Presence & Signals

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Social followers
5.7K
Contact available
Yes
Masked on public pages
Sponsors detected
Yes
Guest format
No

Social links

No public profiles listed.

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Audience & Growth
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Monthly listeners49,360
Reply rate18.2%
Avg response4.1 days
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Contact preview
s***@hidden
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Sponsor signals
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Sponsor mentionsLikely
Ad-read historyAvailable
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How To Pitch Talking HealthTech

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This show is Rank #2006 by pitch volume, with 72 pitches sent by PodPitch users.

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4.2 / 5
RatingsN/A
Written reviews1

We summarize public review counts here; full review text aggregation is not shown on PodPitch yet.

Frequently Asked Questions About Talking HealthTech

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What is Talking HealthTech about?

Conversations with clinicians, vendors, policy makers and decision makers to promote innovation and collaboration for better healthcare enabled by technology. Learn about digital health, medical devices, medtech, biotech, health informatics, life sciences, aged care, disability, commercialisation, startups and so much more.

How often does Talking HealthTech publish new episodes?

Several times per week

How many listeners does Talking HealthTech get?

PodPitch shows a public audience band (like "8K–20K / month"). Book a demo to unlock exact audience estimates and how we calculate them.

How can I pitch Talking HealthTech?

Use PodPitch to access verified outreach details and pitch recommendations for Talking HealthTech. Start at https://podpitch.com/try/1.

Which podcasts are similar to Talking HealthTech?

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How do I contact Talking HealthTech?

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