Talking HealthTech

In this episode of Talking HealthTech, Peter Birch speaks with Tim Ferris, Vice President of Healthcare Practice for Intersystems, Dr Tom Kelly, CEO and co-founder of Heidi Health, and Hal Wolf, President and CEO of HIMSS, about the evolving role of technology, particularly artificial intelligence, in addressing challenges in healthcare delivery, data integration, and system efficiency.

The conversation explores how real-world pressures such as workforce strain, rising demand, and fragmented systems are shaping the way technology is adopted across healthcare.

It looks closely at what makes digital tools succeed in practice, from easing clinical workflows to improving access to meaningful data, and why many past solutions have struggled to deliver on their promise.

The episode also dives into the growing impact of AI in clinical settings, including its role in reducing administrative burden and supporting better decision-making.

Alongside this, it examines the importance of trust, patient expectations, and the need for systems that are not only innovative but practical, reliable, and built to support care where it matters most.

This episode was recorded during HIMSS 2026 in Las Vegas and features conversations Talking HealthTech had on the expo floor with industry leaders and innovators.

Key Takeaways

🧑‍⚕️ Technology’s evolving role: AI and large language models are poised to transform healthcare delivery by addressing supply and demand imbalances and supporting frontline clinicians.

🔑 Practical implementation challenges: Real-world adoption depends on solving specific clinical problems, ensuring seamless data aggregation, and focusing on user-friendly tools.

💸 Funding and adoption incentives: Different healthcare systems (such as the NHS vs the US) adapt AI and technology for cost, efficiency, and clinician satisfaction, affecting the pace and nature of adoption.

🤝 Data, trust, and usage: The growth of agents and AI in healthcare introduces new complexities around data ownership, patient trust, and security, requiring new ways to manage access and responsible use.

🌏 Innovation across the industry: Global perspectives sync on the value of integrating AI into workflows, from documentation to communication, showing both opportunities and hesitations among clinicians and patients.

Timestamps

00:00 - Peter Birch: Episode intro

02:56 - Tim Ferris, Vice President of Healthcare Practice, Intersystems

15:17 - Dr Tom Kelly, CEO & Co-Founder, Heidi Health

23:36 - Hal Wolf, President & CEO, HIMSS

39:42 - Peter Birch: Episode wrap-up

Check out the episode and full show notes on the Talking HealthTech website.

If you’re enjoying the show and want access to exclusive healthtech discussions, meetups, and member-only content, you can learn more about becoming a THT+ Solo Member here: talkinghealth.tech/solo_shownotes

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Mentioned in this episode:

Use the free Talking HealthTech Glossary for plain-English explanations of digital health terms, acronyms and concepts across the industry: talkinghealthtech.com/glossary.

In this episode of Talking HealthTech, Peter Birch speaks with Dr Rowland Illing, Chief Medical Officer for Amazon Web Services, about how cloud technology is reshaping healthcare and what that means for the people working within it.

They explore the rapid rise of AI and software agents, and how these tools are beginning to change the daily experience for clinicians, patients, and health system operators.

They unpack AWS’s dual role as both a global cloud provider and an increasingly active contributor to healthcare solutions, sharing practical examples from health systems and life sciences organisations around the world.

The discussion also looks at how infrastructure decisions made today are enabling new models of care, from streamlining administrative workflows to improving how patients access and navigate services.

The conversation offers a grounded look at where healthcare is heading, what is already changing behind the scenes, and how technology can support better, more human-centred care when applied with purpose.

This episode was recorded during the HIMSS26 conference and captures the latest conversations and innovations at the intersection of healthcare and cloud computing.

Key Takeaways

🧬 AWS underpins global healthcare and life sciences, supporting drug discovery, health systems, and tech vendors worldwide

💻 AI and cloud services enable faster, more scalable solutions in drug discovery, imaging, and genomics

🔗 Modular, standards-based services like AWS HealthLake and HealthOmics foster interoperability and innovation for vendors and clinicians

🤖 The emergence of AI agents is automating admin tasks, streamlining scheduling, patient interactions, and clinical workflows

🙋 Patient education and transparency around AI use remain essential to build trust and improve care delivery

Timestamps

00:00 – Episode intro & guest overview

01:16 – AWS’s healthcare ecosystem role

05:21 – AI in drug discovery and life sciences

07:27 – Modular services: HealthLake, Imaging, HealthOmics

12:22 – AI agents in patient engagement & admin

18:10 – Human element: clinicians and patient care

21:01 – AI, uncertainty, and patient education

27:16 – Advice for CIOs, CTOs, and next steps

Check out the episode and full show notes on the Talking HealthTech website.

If you’re enjoying the show and want access to exclusive healthtech discussions, meetups, and member-only content, you can learn more about becoming a THT+ Solo Member here: talkinghealth.tech/solo_shownotes.

And if this episode was useful, leaving a review or sharing it with someone in the industry always helps.

Mentioned in this episode:

Use the free Talking HealthTech Glossary for plain-English explanations of digital health terms, acronyms and concepts across the industry: talkinghealthtech.com/glossary.

In this episode of Talking HealthTech, recorded live at HIMSS26, Peter Birch sits down with Troy Kennedy, AVP of Client Partner Technology at Solventum, to explore the evolving role of clinical coding and the growing impact of AI in healthcare.

The discussion unpacks how clinical coding underpins care quality, funding models, and system performance, while tracing its journey from manual processes to advanced, technology-enabled workflows.

The conversation also dives into the practical application of AI, including how automation is being used to support clinical documentation, improve data accuracy, and ease workforce pressures.

It also examines the importance of governance, local context, and human oversight in ensuring AI delivers meaningful and safe outcomes.

Drawing on real-world experience, the episode highlights Solventum’s work with hospital systems and offers insight into how health organisations can approach digital transformation in a way that balances innovation with accountability.

This episode was recorded during the HIMSS26 conference, capturing industry conversations and innovations showcased at the event.

Key Takeaways

🛠 Clinical coding is the digital language of health, vital for accurate patient care and health system management

🤖 AI and machine learning are transforming clinical coding, enabling automation while retaining the need for human oversight

📈 Clinical Document Improvement (CDI) enhances record accuracy, ensuring care is properly reflected and measured

💡 Solventum's 360 Encompass platform combines coding, CDI, and quality management for scalable hospital outcomes

🔑 Strategic adoption requires trusted partners, regulatory compliance, and understanding the local healthcare landscape

Timestamps

00:00 Introduction & Troy’s background

01:35 What is clinical coding?

03:50 Evolution of technology in coding

05:59 Clinical Document Improvement explained

09:04 Solventum’s AI tools at HIMSS

11:22 360 Encompass platform overview

13:19 AI's impact on clinical coding roles

15:37 Recommendations for health systems

18:56 Key focus areas for Australian healthcare

Check out the episode and full show notes on the Talking HealthTech website.

If you’re enjoying the show and want access to exclusive healthtech discussions, meetups, and member-only content, you can learn more about becoming a THT+ Solo Member here: talkinghealth.tech/solo_shownotes.

And if this episode was useful, leaving a review or sharing it with someone in the industry always helps.

Mentioned in this episode:

Use the free Talking HealthTech Glossary for plain-English explanations of digital health terms, acronyms and concepts across the industry: talkinghealthtech.com/glossary.

In this episode of Talking HealthTech, Peter Birch speaks with Sean Walker, CTO of Alcidion, about the role of AI in healthcare software development, the architecture behind Alcidion’s Miya Precision platform, and how thoughtful AI adoption is helping improve outcomes for both clinicians and patients.

The conversation explores how healthcare software is evolving, from the importance of getting foundational architecture right through to building systems that can scale and adapt as clinical needs change.

They also unpack how AI is being used in practice, not just as a clinical support tool, but as a way to accelerate development, streamline workflows, and enhance the way software is designed and delivered.

Along the way, the discussion highlights the balance between speed and responsibility, the growing role of regulation, and why keeping clinicians involved remains critical to building trust in AI-driven systems.

This episode offers a grounded look at where AI is making a real impact today, and what it takes to build healthcare technology that is both innovative and safe.

Key Takeaways

🚀 Building strong software foundations is essential for scaling and integrating advanced capabilities like AI and large language models.

💡 Distinct uses of AI exist: both in software development processes and as clinical decision support tools.

👥 Keeping humans in the loop is critical for maintaining trust and reliability in clinical AI applications.

🛠️ Skills like context engineering and agentic workflows are becoming necessary, beyond simple prompt engineering.

🌐 Registered and codified AI tools, such as Alcidion’s concept detection, enable more robust clinical data and contribute to improved patient outcomes.

Timestamps

01:12 — Introduction to Alcidion and Sean’s role

03:06 — Approaching platform architecture in healthtech

06:30 — Disruptive AI capabilities and transformations

10:22 — AI’s impact on software development workflow

19:49 — Outcomes for clinicians and patients

23:48 — TGA certification and concept detection

28:09 — Human-in-the-loop for clinical AI

34:08 — Future-ready software developer skills

Check out the episode and full show notes on the Talking HealthTech website.

If you’re enjoying the show and want access to exclusive healthtech discussions, meetups, and member-only content, you can learn more about becoming a THT+ Solo Member here: talkinghealth.tech/solo_shownotes.

And if this episode was useful, leaving a review or sharing it with someone in the industry always helps.

Mentioned in this episode:

Use the free Talking HealthTech Glossary for plain-English explanations of digital health terms, acronyms and concepts across the industry: talkinghealthtech.com/glossary.

In this episode of Talking HealthTech, Dr Max Mollenkopf is joined by Dr Tom Kelly to unpack the evolution of Heidi, an AI-powered clinical documentation tool, from its early experimentation in general practice to its growing presence across health systems globally.

The conversation traces the realities of building in digital health, including early missteps, product pivots, and the challenge of finding meaningful product-market fit in a complex and highly regulated environment.

The discussion goes beyond surface-level AI hype to examine how tools like Heidi are being shaped by real clinical workflows.

It explores the practical challenges of integrating with existing practice management systems, navigating regulatory frameworks across different regions, and competing in an increasingly crowded international market.

There is also a focus on the rise of AI-powered clinical scribing, the role of large language models, and how these technologies are changing the day-to-day experience of clinicians.

Alongside the technical and commercial considerations, the episode reflects on broader questions facing the sector, including safety, interoperability, and the cost of scaling AI in healthcare.

It also looks ahead to emerging use cases such as real-time evidence retrieval and patient-facing applications, offering a grounded perspective on where AI is delivering value today and where it may have the greatest impact in the future.

Key Takeaways

✨ Product evolution and lessons learned Heidi started as a triage and workflow automation tool and shifted focus to clinical AI scribing in response to market needs and advancements in AI models.

💬 Integration and interoperability challenges Integrating with practice management systems remains complex and highly dependent on regional vendors and technical standards, highlighting the ongoing struggle for efficient interoperability in healthcare.

🌍 Global competition and expansion Heidi's growth strategy and competition vary by country, with different primary competitors in Australia, the UK, and North America, and a keen focus on clinician-centric product development.

🛠️ Regulation and medical device territory AI-based clinical tools like Heidi must constantly reassess their compliance with evolving software as a medical device rules, which differ across international markets.

🤝 Feedback-driven design Heidi’s freemium model enabled rapid feedback loops from clinicians, shaping product features and spurring adoption in both individual practices and enterprise hospital deals.

Timestamps

00:00 Heidi’s origins and early pivots

03:37 Traction and barriers to product adoption

09:01 Pivot to AI-powered scribing

14:11 Drivers of Heidi’s growth and market position

18:56 Competitors in each market

22:45 Evidence product launch and vision

29:17 Software as a medical device, regulatory lines

37:37 Relationships with PMS providers

44:16 Interoperability barriers and national health records

52:13 The cost of AI in clinical tools

54:40 Expanding to communications and voice products

57:32 Consumer-facing applications and future directions

59:59 Will AI replace clinicians?

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Mentioned in this episode:

Use the free Talking HealthTech Glossary for plain-English explanations of digital health terms, acronyms and concepts across the industry: talkinghealthtech.com/glossary.

In this episode of Talking HealthTech, Peter Birch speaks with Kate Ebrill, Grahame Grieve, Dr Chris Moy, Dr John Lambert, Sandra Cook, Dr Jill Freyne, Professor Brett Sutton, and Professor Mark Braunstein about data standards, information exchange, and implementation challenges in Australia’s digital health sector.

The discussion explores the Sparked Initiative and its co-design approach to developing national standards, with a focus on creating consistent, secure, and meaningful ways to share health information.

The episode also examines what it takes to move from policy into real-world implementation, including the role of infrastructure, vendor engagement, and support for different parts of the health system.

Emerging technologies such as AI and FHIR are considered in the context of improving data quality, enabling interoperability, and shaping how health information is created, shared, and used.

Across the conversation, contributors provide insights from clinical practice, technical architecture, and national strategy, offering a grounded view of the opportunities and challenges ahead as Australia continues to build a more connected and effective digital health ecosystem.

This episode was recorded at the Sparked Community co-design workshops in Hobart, an event dedicated to accelerating the creation and development of national FHIR standards for health information exchange in Australia.

Key Takeaways

✨ Nationally aligned data standards are essential for enabling safe and scalable digital health innovation across Australia, with implementation and policy alignment now the main focus

💬 Sparked focuses on co-design, ensuring data standards are fit for purpose for all Australians through direct engagement with clinicians, consumers, industry, and government

🤝 The need for high-quality, standardised data is becoming more urgent as AI adoption increases; clean inputs lead to more reliable outputs

🚀 Infrastructure like HealthConnect Australia and a national FHIR repository are being developed to support ecosystem-wide adoption

🔄 Tasmania is positioned as an effective testbed for state-scale implementation due to its system structure, highlighting a path for broader national rollout

Timestamps

00:00 – Kate Ebrill, Sparked Lead: Event introduction and national objectives

03:26 – Grahame Grieve, HL7 FHIR product director: A history and outlook on FHIR development

04:54 – Dr Chris Moy, Clinical Co-lead: Clinician and consumer engagement

05:25 – Dr John Lambert, Chief Clinical Information Officer, Tasmania: State-scale implementation

06:25 – Sandra Cook, Connected Care, ADHA: National implementation infrastructure

07:33 – Dr Jill Freyne, Amazon Web Services: Industry implementation momentum

08:14 – Professor Brett Sutton, CSIRO Health: Real-time data for clinicians and patients

09:23 – Grahame Grieve: Patient empowerment and AI

10:15 – Professor Mark Braunstein: The global context and FHIR adoption

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The full article and extended show notes for this episode are available inside the THT+ Community here: View Full Article Here

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.

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And if this episode was useful, leaving a review or sharing it with someone in the industry always helps.

Mentioned in this episode:

Use the free Talking HealthTech Glossary for plain-English explanations of digital health terms, acronyms and concepts across the industry: talkinghealthtech.com/glossary.

In this episode of Talking HealthTech, Peter Birch sits down with Emma Hossack, CEO of the Medical Software Industry Association (MSIA), to unpack the often overlooked role of software in keeping Australia’s healthcare system running.

The conversation explores how MSIA represents and supports the organisations building the digital infrastructure behind everyday care, and why their work is more critical than most people realise.

Peter and Emma dive into the origins and purpose of MSIA, its growing influence on health software policy, and how it is helping shape the governance of emerging technologies like artificial intelligence.

They also discuss the increasing weight of regulation, the tension between compliance and innovation, and the funding challenges facing local software providers.

The discussion offers a practical look at the people and systems working behind the scenes, and why stronger collaboration between government, industry, and clinicians will be essential for the future of digital health in Australia.

Key Takeaways

💡 Over 95% of Australian healthcare operates on MSIA member platforms, making their work foundational to the sector.

🔗 MSIA acts as a bridge between industry and government, shaping and supporting health software policy and regulation.

🧑‍💻 Artificial intelligence in health tech is a major focus, with MSIA developing a voluntary code for unregulated products and leading industry-wide collaboration on AI governance.

📊 Regulatory compliance demands have increased significantly, with some software providers now spending up to 80% of their effort on meeting these requirements.

🤝 MSIA facilitates collaboration, networking, and knowledge sharing through events, monthly member sessions, matchmaking, and support for overcoming industry roadblocks.

Timestamps

00:01 — Introduction to MSIA

04:00 — Industry impact and membership

07:00 — COVID-19 response and digital prescribing

12:41 — AI in healthcare and MSIA’s voluntary code

19:40 — Regulation vs. innovation in development

26:11 — Funding, training, and recent challenges

38:37 — Upcoming priorities and activities

Links and Resources:

The MSIA Voluntary Guide on responsible use of AI - Read More Here

The MSIA 2025 Productivity Brief to Government - Access Here

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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.

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And if this episode was useful, leaving a review or sharing it with someone in the industry always helps.

Mentioned in this episode:

Use the free Talking HealthTech Glossary for plain-English explanations of digital health terms, acronyms and concepts across the industry: talkinghealthtech.com/glossary.

In this episode of Talking HealthTech, Peter Birch speaks with Casey Going, founder of MBSPro and a rural GP, about the evolving landscape of general practice and the growing role of artificial intelligence in healthcare.

The conversation explores the operational pressures facing rural clinics, including workforce shortages, financial constraints, and the realities of delivering care outside metropolitan areas.

It also unpacks how technology is being used in real clinical settings, from streamlining administrative tasks to supporting patient triage and improving Medicare billing processes.

Broader themes around practice sustainability, recruitment, and the shift towards larger, more specialised clinics are examined, alongside the opportunities and challenges that come with adopting new digital tools.

The episode offers a grounded look at how innovation is shaping primary care today, and what the future may hold for practice owners navigating a rapidly changing environment.

Key Takeaways

🩺 Operational pressures drive tech adoption: Rural clinics face significant recruitment and financial challenges, making technology and AI tools essential for streamlining processes and reducing overhead.

🤖 AI enhances efficiency, not replaces staff: Technology is being implemented to reduce cognitive load and repetitive tasks among staff, allowing people to focus on more value-adding activities, not eliminating jobs.

💸 Medicare funding misconceptions: Medicare offers rebates, not free care; financial sustainability for clinics requires careful billing and operational strategy as margins remain tight.

🏥 Future of general practice: Practices are likely to become larger and more specialised, with AI assistance and a shift toward two tiers of clinics—ultra-lean bulk billing models and comprehensive, tech-enabled fee-for-service clinics.

👥 Practice ownership advice: Aspiring owners should seek mentors beyond general practice and embrace technology and business principles from other industries for sustainable operations.

Timestamps

00:00 - Introduction & guest background

03:53 - Rural practice operational pressures

07:01 - Balancing clinical care, innovation, and sustainability

09:24 - AI implementation examples

14:11 - Medicare funding & misconceptions

16:41 - Predicted future clinic models

19:21 - Accreditation burden & compliance

23:16 - Financial sustainability of clinics

31:18 - Practical advice for practice owners

33:37 - Upcoming MBS Pro features

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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 Here

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.

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And if this episode was useful, leaving a review or sharing it with someone in the industry always helps.

Mentioned in this episode:

Use the free Talking HealthTech Glossary for plain-English explanations of digital health terms, acronyms and concepts across the industry: talkinghealthtech.com/glossary.

In this episode of Talking HealthTech, Peter Birch speaks with Dan Wijeratne, founder of MyGPMPtool (MGT), and Genevieve McLauren-Lee, a registered nurse and practice manager at My Medical Services Australia.

The discussion explores how patient demographics vary across clinics and the evolving role of technology in general practice.

It also covers structural changes in care planning within Australian healthcare, along with practical strategies to improve patient engagement and clinician efficiency.

The episode unpacks how patient-centric care, effective communication tools, and the balance of business and medicine are shaping sustainable health practices.

Key Takeaways

🩺 General practice faces diverse patient demographics and challenges

🕒 Technology enables faster, more meaningful consultations without compromising patient interaction

📝 Structural changes in care planning emphasise patient-centric, team-based approaches

🤝 Effective patient engagement depends on meaningful communication and tailored tools

💼 Sustainable practice requires tools balancing clinician efficiency, patient experience, and business demands

Timestamps

00:00 Introductions & practice overview

03:12 Responsive, innovative general practice

06:02 Technology's role in patient-GP interaction

07:24 Chronic disease vs. preventative care

12:24 Health cues and brief assessments

14:48 Structural healthcare changes in Australia

21:41 Technology supporting patient experience

26:06 Balancing patient, clinician, and business needs

________

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 Here

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:

Use the free Talking HealthTech Glossary for plain-English explanations of digital health terms, acronyms and concepts across the industry: talkinghealthtech.com/glossary.

In this episode of Talking HealthTech, Peter Birch speaks with Lars Borup, Clinical Manager at Dedalus, and Andrew Mitchell, Paramedic Clinical Consultant for Australia and New Zealand, about the growing issue of ambulance ramping and the pressures facing paramedics and emergency departments.

They discuss the human and operational impacts of patients waiting outside hospitals, and the complex factors driving congestion, from changing social structures to system bottlenecks.

The conversation also explores digital solutions for streamlining patient handovers, including real-time data sharing, electronic patient care records, and coordinated care pathways.

Drawing on both local experiences and international models from Europe, Lars and Andrew highlight how improved communication between pre-hospital care and hospitals can reduce delays and optimise patient flow.

They also show how connecting with primary care providers supports better outcomes across the wider health system.

This episode highlights how technology, workflow improvements, and integrated care can transform emergency services.

Key Takeaways

🔄 Growing demand in healthcare leads to complex ambulance ramping and bed block challenges in Australia and globally

👨‍⚕️ Secondary triage and alternate care pathways are being developed to reduce hospital load

📱 Real-time electronic patient care records enable hospitals to prepare more effectively for incoming patients

🤝 Seamless communication and integrated data sharing between paramedics, hospitals, and primary care are critical for efficient transitions

🚑 Structured digital tools support paramedics in decision-making and workflow, leading to improved patient safety and quality

Timestamps

00:00 — Speaker introductions

05:19 — Why not just add resources?

07:47 — Is ramping just shifting the block?

10:23 — Transition and handover points

12:23 — Real-time electronic records in Denmark

17:26 — Pre-arrival notification in Australia

26:15 — Digital support tools for paramedics

28:40 — Unified ED and ambulance workflow

32:49 — Addressing ambulance ramping: Communication

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The full article and extended show notes for this episode are available inside the THT+ Community here: View Full Article Here

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:

Use the free Talking HealthTech Glossary for plain-English explanations of digital health terms, acronyms and concepts across the industry: talkinghealthtech.com/glossary.