Talking HealthTech

• 543 - Developing a Business Case for Advanced Patient Flow. Nick White, Alcidion

  In this episode of Talking HealthTech, host Peter Birch speaks with Nick White from Alcidion about the challenges, strategies, and frameworks involved in developing business cases for digital technology initiatives in healthcare, with a particular focus on patient flow.Nick shares his experience on aligning technology adoption with organisational priorities, the complexity of healthcare funding and stakeholders, and ways to evaluate and communicate the impact of digital solutions, including real-time data platforms and AI capabilities.Key Takeaways:💼 Business cases in healthcare are complex due to the critical nature of outcomes, the many stakeholder groups, and unique funding models.🗣️ The aim is to explain, not justify, the rationale for adopting digital health solutions, ensuring alignment with strategic priorities rather than merely convincing stakeholders.😷 Patient flow is a national priority in Australia, presenting challenges such as ageing populations, staff shortages, and resource constraints that require better decision-making tools and operational workflows.👩‍⚕️Unlike other sectors, healthcare business cases must balance quantifiable financial benefits with intangible benefits like patient experience, staff wellbeing, and clinician workflows.🏛️ Frameworks like the quadruple aim (patient experience, population health, financial impact, and clinician experience) help structure business cases to reflect the multi-faceted value of technology.🔍 Using independent impact studies and evidence-based research is key to substantiating expected benefits and outcomes in business cases.♒ Ripple effects, such as reductions in length of stay or administrative burden, can free up resources elsewhere in the system, but translating these benefits into financial figures can be nuanced.💡Strategic alignment with existing technical architecture and organisational direction is essential to avoid unnecessary complexity and to maximise the impact of digital investments.🩺 Clinician engagement and change management are crucial, with a focus on making improvements that support, rather than disrupt, patient care.🤖 The future of patient flow technology involves greater AI integration, advanced mobile capabilities, and real-time information delivery at the point of care.Check out the episode and full show notes on the Talking HealthTech website.Loving the show? Leave us a review, and share it with someone who might get some value from it. Keen to take your healthtech to the next level? Become a THT+ Member for access to our online community forum, meet ups, special offers and more exclusive content. For more information visit talkinghealthtech.com/thtplus

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• 542 - Improving Healthcare Systems: Using Structured Data to Enhance Quality and Safety

  In this episode of Talking HealthTech, Peter Birch speaks with Dr Dennis Rausch, Chief Medical Officer at Dedalus, and Viti Handyside, ANZ Country Product Manager for ORBIS at Dedalus, about the importance and benefits of structured data in Health IT. The episode explores the challenges and opportunities associated with embedding structured data in electronic medical records (EMRs), the impact on clinicians’ daily workflows, and the broader implications for patient outcomes, operational efficiency, and health system innovation. They cover both local and global perspectives, examining how structured data enables better care, supports research, and sets the foundation for advances such as artificial intelligence in healthcare.Key Takeaways:🏥 Structured data in healthcare is critical for accurate data analytics, decision support, interoperability, and operational efficiency.📝 Free-text notes, while common in clinical workflows, can create ambiguity, increase cognitive load, and make it difficult for machines to interpret and leverage health data.🔗 Embedding structured data entry into clinicians’ natural workflows is key to adoption, reducing manual data entry burden, and improving data quality.🤖 New technologies, including ambient AI, natural language processing, and smart EMR interfaces, are enabling more seamless capture and utilisation of both structured and unstructured clinical information.🔍 Structured data enhances research capabilities, supports the development of digital twins, reduces errors, facilitates compliance, and helps avoid costly duplicate testing and administrative inefficiencies.🌍 There is still a journey required for widespread adoption in regions like Australia, but growing interest and investment in digital health is driving progress.💊 Future healthcare ecosystems will rely even more on structured data to power clinical decision support, population health analytics, and personalised medicine.Check out the episode and full show notes on the Talking HealthTech website.Loving the show? Leave us a review, and share it with someone who might get some value from it. Keen to take your healthtech to the next level? Become a THT+ Member for access to our online community forum, meet ups, special offers and more exclusive content. For more information visit talkinghealthtech.com/thtplus

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• 541 - Connected Care: Bridging Gaps in Modern Healthcare: The Future is on FHIR!

  In this episode of Talking HealthTech, host Peter Birch speaks with Marvin Malcolm, Head of Data and Integration Architecture at Telstra Health; Duncan Weatherston, CEO of Smile Digital Health; and Keith Kranz, Manager ICT at SA Pathology.The discussion explores the role of interoperability and data standardisation in modern healthcare, focusing on connected care. The guests share their perspectives from both Australian and global viewpoints, diving into real-world experiences, challenges, and future solutions in pathology and health information exchange.The episode looks at technology choices like HL7 FHIR, the evolution of data-driven healthcare, and how digital transformation impacts clinicians and patients.This episode is part four of a 4-part series by Talking HealthTech in collaboration with Telstra Health and Smile Digital Health called Connected Care: Bridging Gaps in Modern Healthcare.Key Takeaways🏥 Interoperability Requires Collaboration: Achieving interoperability in healthcare demands participation from a broad community - no single organisation can accomplish it alone. Collaboration across healthcare providers, government agencies, and technology partners is essential.🌍 Australian and Global Perspectives: The interoperability and data fragmentation challenges are not unique to Australia. Similar issues (including North America and Europe) are seen globally, but approaches can differ based on local regulations, systems, and clinical workflows.ℹ️ Role of Standards like FHIR: Moving towards data-driven models and FHIR-based solutions is central to breaking down data silos, improving data quality, and ensuring meaningful use of clinical information.💻 Patient-Centred, Computable Data: The shift to giving patients direct access to health information and making results more understandable is highlighted. Clinicians and patients benefit from better visualisation, interpretability, and predictive analytics.🤖 Future-Proofing Healthcare: The ability to scale and adapt technology (such as with FHIR) ensures that healthcare organisations can meet growing data, research, and clinical needs, as well as adapt to ongoing innovations, including AI and predictive modelling.Check out the episode and full show notes on the Talking HealthTech website.Loving the show? Leave us a review, and share it with someone who might get some value from it. Keen to take your healthtech to the next level? Become a THT+ Member for access to our online community forum, meet ups, special offers and more exclusive content. For more information visit talkinghealthtech.com/thtplus

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• 540 - HLTH Europe 2025 Feature Episode: Leveraging Technology for Community and Home-Based Care

  In this episode of Talking HealthTech, host Peter Birch speaks with healthcare leaders and innovators, including Auður Gudmundsdottir from Reykjavik City, Paula Bellostas Muguerza from Kearney, and fellow podcast host Shubs, along with Sophie Turner as co-host. The episode explores the digital transformation of community care services in Iceland, global efforts in women's health equity, practical challenges for clinicians working in health tech, and the impact of innovation in underserved populations.This episode was recorded during HLTH Europe 2025 in Amsterdam. To catch all the discussions that Talking HealthTech had during HLTH, including discussions with all the Australian organisations participating on the ANDHealth delegation, visit a dedicated playlist on our YouTube channel.Key Takeaways👴 Digital Transformation in Community Care: Reykjavik is implementing digital health solutions to assist elderly residents stay independent at home, including video visits, automated medication dispensers, and remote rehabilitation. Challenges include workforce shortages, shifting staff mindsets, and the need for national strategy.🏥 Scaling Technology in Care Delivery: There is a significant opportunity to expand remote care models, with estimates that up to 40% of current home nursing could be delivered through technology-enabled services.🤰 Women's Health Equity on a Global Stage: Women's health remains a critical topic globally, with a focus on making systemic changes in clinical research, guideline development, investment, and practical steps organisations can take daily. The importance of investment to drive real innovation was highlighted.👩‍⚕️ Role of Clinicians in Digital Health: Integrating clinicians into health tech teams requires a shift from token advisory roles to active participation in product development and quality improvement. Building collaborative relationships before formalising processes helps generate better outcomes.🧑‍🤝‍🧑 Underserved Communities and Technology Implementation: Global lessons can be learnt from the use of digital health and AI in low- and middle-income settings. Emphasising context-specific solutions and working backwards from real community needs is more effective than technology-driven interventions.Timestamps00:00 - 01:26 Introduction01:28 - 14:53 Audur Gudmundsdottir, Reykjavík City Welfare Department14:57 - 23:00 Paula Bellostas Muguerza, Kearney23:04 - 36:10 Shubs Upadhyay, Global Perspectives on Digital HealthCheck out the episode and full show notes on the Talking HealthTech website.Loving the show? Leave us a review, and share it with someone who might get some value from it. Keen to take your healthtech to the next level? Become a THT+ Member for access to our online community forum, meet ups, special offers and more exclusive content. For more information visit talkinghealthtech.com/thtplus

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• 539 - HIMSS Europe 2025: Femtech, Synthetic Data, AI + more

  In this episode of Talking HealthTech, Peter Birch speaks with Ida Tin from Femtech Assembly, Jessica Morley from the Yale Digital Ethics Center, Sharmini Alagaratnam from DNV, and Ricardo Baptista Leite from HealthAI about the evolution of digital health in Europe, the future of femtech, responsible AI in healthcare, the challenges of synthetic data, and the importance of data governance. They highlight perspectives on innovation, ethics, and the role of technology across health systems.This episode was recorded at HIMSS Europe 2025 in Paris and features a selection of the conversations captured at the event on Podcast Row. For a full list of interviews recorded during the event, check out the dedicated playlist on the Talking HealthTech YouTube channel.Key Takeaways👩‍⚕️ Femtech as an Industry: Ida Tin, who coined the term "femtech," discusses the journey of women's health technologies from niche to a substantial market sector, underlining both the business case and societal impacts of investment in women’s health.👩‍👧‍👦 Societal Infrastructure and Women’s Health: Recognising women’s health as foundational to society’s functioning, paralleling other types of infrastructure, and emphasising the regenerative nature of investing in this area.🤖 Responsible AI Implementation: Ricardo Baptista Leite addresses the need for intentional and purposeful adoption of AI in health, stressing governance structures, regulatory frameworks, and the urgency of scalable, ethical deployment especially in low- and middle-income countries.🤝 Synthetic Data and Trust: Sharmini Alagaratnam explains the growing use of synthetic data in healthcare for AI development, its role in addressing data scarcity and privacy, and the need for clear quality frameworks to assess effectiveness and representation.⚖️ Ethics of AI and Health Data Usage: Jessica Morley explores the complexities of secondary data use, the balance between personalisation and population health, privacy risks, and the ethical considerations required when deploying AI and data-driven solutions in healthcare.🛜 Data Sharing as an Enabler: All guests touch on the need for better data sharing across health systems to unlock value not just for individuals, but also for wider population health and cross-industry insights.Timestamps00:00 - 01:02 Introduction01:03 - 11:11 Ida Tin, Femtech Assembly11:15 - 21:49 Jessica Morley, Yale Digital Ethics Centre21:54 - 32:06 Sharmini Alagaratnam, DNV32:10 - 49:06 Ricardo Baptista Leite, HealthAICheck out the episode and full show notes on the Talking HealthTech website.Loving the show? Leave us a review, and share it with someone who might get some value from it. Keen to take your healthtech to the next level? Become a THT+ Member for access to our online community forum, meet ups, special offers and more exclusive content. For more information visit talkinghealthtech.com/thtplus

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