The Digital Health Pulse

• S2E5 - 🎙️ AI in Patient Portals: Balancing Benefits and Risks

  In our latest episode, we dive into the evolving landscape of patient portal messaging and the role of artificial intelligence in primary care. As more patients engage with their healthcare providers through digital messaging, the workload on primary care physicians is escalating, leading to burnout. This episode explores a recent study that investigates the potential of generative AI to alleviate some of this cognitive burden while also addressing the significant safety concerns that accompany its use. Join us as we discuss the dual-edged sword of AI in healthcare, highlighting the promise of efficiency against the backdrop of patient safety. We'll analyse the findings of the study that revealed how often errors in AI-generated responses go uncorrected, raising critical questions about the reliability of these tools.Key discussion points:The impact of patient portal messaging on physician burnout.How AI can help reduce cognitive workload but also poses safety risks.Insights from the study on error detection in AI drafts.Recommendations for improving AI tools in healthcare settings.Study Reference: (2025). Opportunities and risks of artificial intelligence in patient portal messaging in primary care.. NPJ Digit Med. https://doi.org/10.1038/s41746-025-01586-2#DigitalHealthPulse #AIinHealthcare #PatientSafety #DigitalHealth #PrimaryCare

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• S2E4 - 🎙️ Ethical AI in Healthcare: Bridging the Gap

  In our latest episode, we dive deep into the ethical landscape of generative artificial intelligence in healthcare, a topic that is becoming increasingly relevant as technologies like ChatGPT gain traction. This episode unpacks a recent scoping review that highlights the significant gaps in ethical discussions surrounding GenAI applications in high-stakes environments, particularly healthcare. As we explore these findings, we aim to shed light on the operational challenges and the necessity for a robust ethics checklist that can guide the responsible use of AI in health.Join us as we discuss:The ethical dilemmas posed by generative AI in healthcare.The gaps in current ethical discussions and their implications.How a newly developed ethics checklist can enhance GenAI research.Strategies for integrating ethical considerations into AI product development.Study Reference: (2024). Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist.. Lancet Digit Health. https://doi.org/10.1016/S2589-7500(24)00143-2#DigitalHealthPulse #EthicalAI #HealthcareInnovation #AIethics #GenerativeAI

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• S2E3 - Transforming Pathology & Medicine with AI

  In our latest episode, we explore the groundbreaking advancements in generative artificial intelligence (Gen AI) and its revolutionary applications in pathology and medicine. From custom chatbots for diagnostic reports to synthetic image synthesis for training new models, Gen AI is reshaping how we approach healthcare. Join us as we unpack the complexities and potentials of Gen AI, discussing its implications for practitioners, educators, and patients alike.Key discussion points:Applications of Gen AI in diagnostic report generation and training models.Overview of popular Gen AI models and their frameworks.Ethical considerations and challenges in implementing Gen AI in healthcare.Future implications for medical professionals and patient care.Study Reference: (2025). Generative Artificial Intelligence in Pathology and Medicine: A Deeper Dive.. Mod Pathol. https://doi.org/10.1016/j.modpat.2024.100687#DigitalHealthPulse #AIinMedicine #Pathology #HealthcareInnovation #FutureOfHealthcare

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• S2E2 - 🎙️ Safeguarding Patient Care with LLMs

  In our latest episode, we delve into the fascinating world of large language models and their promising role in healthcare. As these technologies advance, ensuring their clinical safety becomes paramount. We explore a groundbreaking framework that assesses the hallucination and omission rates of LLMs in medical text summarisation, which could significantly impact patient safety and care efficiency.Join us as we discuss the implications of this study for healthcare professionals, technology developers, and patients alike. We'll cover:The proposed error taxonomy for LLM outputsExperimental findings on hallucination and omission ratesStrategies for refining LLM workflowsThe importance of clinical safety in automated documentationStudy Reference: (2025). A framework to assess clinical safety and hallucination rates of LLMs for medical text summarisation.. NPJ Digit Med. https://doi.org/10.1038/s41746-025-01670-7#DigitalHealthPulse #HealthTech #PatientSafety #AIinHealthcare #ClinicalDocumentation

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• S2E1 - Mindful Machines: Generative AI in Mental Health.

  Can AI really support your mental well-being? In this episode of The Digital Health Pulse, we dig into a brand-new systematic review on generative AI in mental health. You’ll learn:How GenAI models like ChatGPT and Bard perform at psychoeducation—and why users still raise red flags about accuracyThe surprising empathy scores of AI and where they fall short on the “human touch”Mixed results on AI’s diagnostic chops and why caution is keyDeep-dive on cultural biases, privacy worries, and ethical pitfallsTune in for a clear, no-jargon exploration of AI’s promise—and its limits—in mental health care. 🎙️ #digitalhealthpulseSource: Wang, L., Bhanushali, T., Huang, Z., Yang, J., Badami, S., & Hightow-Weidman, L. (2025). Evaluating Generative AI in Mental Health: Systematic Review of Capabilities and Limitations. JMIR Mental Health, 12, e70014. doi:10.2196/70014

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