Afleveringen
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Once dismissed as Silicon Valley provocation, the question of âwill AI replace doctorsâ, now feels a very real possibility. As large language models pass licensing exams and multimodal systems interpret scans at scale, the panel examines which parts of medicine are most exposed to automation and which remain deeply human.
Diagnostic specialties may shift first. Clinical knowledge can be scaled. But accountability, judgment under uncertainty, communication of bad news, and ethical trade offs resist simple optimisation. So what does the future physician role look like?.
Key Topics:
Vinod Khoslaâs prediction that AI would eliminate doctorsAGI timelines and multimodal modelsRadiology, pathology, and diagnostic automationWhy no doctor will practice without AIPsychiatry and the limits of avatar therapyHigh-stakes procedural care (intubation, intensive care)Accountability and liability barriersThe âreward functionâ problem in healthcare AIEmpathy vs optimisationJudgment, truth-telling, and delivering bad newsRelevant Links and Resources:
Connect with us:
Find all things Heidi at heidihealth.comConnect with Heidi on LinkedInConnect with Dr Tom Kelly on LinkedInConnect with Christina Farr:LinkedInSecond Opinion Media websiteLifers PodcastTwitter/XInstagramCheck out Christinaâs book 'The Storytellers Advantage'.Connect with Dr Hannah Allen on LinkedInConnect with Dr Simon Kos on LinkedInResources:
Vinod Khosla 2012 prediction: https://fortune.com/2012/12/04/technology-will-replace-80-of-what-doctors-do/Updated Vinod Khosla 2025 prediction that AI will replace 80% of jobs by 2030: https://fortune.com/2025/07/01/silicon-valley-investor-vinod-khosla-ai-job-prediction-interview/AI Passing Medical Exams - ChatGPT Performance on the USMLE (PLOS Digital Health): https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0000198AI for Diabetic Retinopathy & Eye Disease Detection (ScienceDirect): https://www.sciencedirect.com/science/article/pii/S2666914525002337AI vs Radiologists in Imaging Interpretation (Lancet Digital Health Review): https://www.thelancet.com/journals/landig/article/PIIS2589-7500(25)00142-6/fulltextStanford AI Index Report (Annual State of AI): https://hai.stanford.edu/ai-indexAI Alignment & Reward Optimization (OpenAI / Technical Overview): https://openai.com/index/learning-from-human-preferences/ -
Loneliness. Housing instability. Food insecurity. Obesity. Chronic disease. Increasingly, these issues donât land in community centres or social services, they land in GP clinics and emergency departments.
What happens when medicine becomes the catch all for problems rooted in social fragmentation? From eight minute consultations that canât possibly solve loneliness, to pharmacists becoming surrogate community anchors, to the economics of GLP-1 drugs as population-level interventions, the panel examines where the line between health and social intervention is blurring and whether healthcare was ever designed, or can continue, to carry this load.
Key Topics:
Healthcare âplugging the gapsâ of social collapseLoneliness as a public health issueTransactional, time-limited care modelsSocial prescribing and community activationFood access and the âTesco interventionâ storyGLP-1s as preventative health investmentLifelong medication and stigmaLifestyle modification through pharmacologyAI companionship and digital social supportThe rise of lifestyle medicine and neighbourhood care modelsRelevant Links and Resources:
Connect with us:
Find all things Heidi at heidihealth.comConnect with Heidi on LinkedInConnect with Dr Tom Kelly on LinkedInConnect with Christina Farr:LinkedInSecond Opinion Media websiteLifers PodcastTwitter/XInstagramCheck out Christinaâs book 'The Storytellers Advantage'.Connect with Dr Hannah Allen on LinkedInConnect with Dr Simon Kos on LinkedInResources:
WHO â Social Isolation and Loneliness as Public Health Priorities: https://www.who.int/teams/social-determinants-of-health/demographic-change-and-healthy-ageing/social-isolation-and-lonelinessSocial Prescribing - NHS England: https://www.england.nhs.uk/personalisedcare/social-prescribing/USDA Food Access Research Atlas â Food Deserts & Healthy Food Access: https://ers.usda.gov/sites/default/files/_laserfiche/publications/42711/12701_ap036b_1_.pdfHow Japan Is Automating Elder Care (MIT Technology Review): https://www.technologyreview.com/2023/01/09/1065135/japan-automating-eldercare-robots/GLP-1 Medications & Prevention - Semaglutide for Obesity (STEP Trials, NEJM): https://www.nejm.org/doi/full/10.1056/NEJMoa2032183 -
Zijn er afleveringen die ontbreken?
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Trust in healthcare has fractured between patients and clinicians, clinicians and institutions, and across society more broadly. In the wake of COVID, public health messaging, misinformation, politicisation and time poor consultations have left many patients sceptical and many clinicians defensive.
Where did that erosion begin? And how it shows up today: in misdiagnosis, in eight minute consults, in ego, and in incentive structures. The panel asks whether a clinician AI partnership could help rebuild trust by extending time, improving accuracy, making evidence transparent, and shifting medicine away from paternalism toward shared understanding.
Key Topics:
COVID-era public health messaging and the long tail of mistrustMedicine as a âspecial clubâ vs. transparency in the digital ageMisdiagnosis, dismissal, and why patients feel gaslitMedical error and the âSwiss cheeseâ model of harm preventionThe eight minute consult and the limits of factory style careAsynchronous follow-up and extended time horizons in careEgo, hierarchy, and cultural resistance to AIAntibiotics, incentives, and the tension between doing right by the patient vs. the systemMeeting patients where they are including digital platformsRelevant Links and Resources:
Connect with us:
Find all things Heidi at heidihealth.comConnect with Heidi on LinkedInConnect with Dr Tom Kelly on LinkedInConnect with Christina Farr:LinkedInSecond Opinion Media websiteLifers PodcastTwitter/XInstagramCheck out Christinaâs book 'The Storytellers Advantage'.Connect with Dr Hannah Allen on LinkedInConnect with Dr Simon Kos on LinkedInResources:
To Err Is Human (Institute of Medicine report) - highlighting rates of medical error in the US: https://nap.nationalacademies.org/catalog/9728/to-err-is-human-building-a-safer-health-systemUnderstanding the Swiss Cheese model and itâs application to patient care: https://pmc.ncbi.nlm.nih.gov/articles/PMC8514562/Antibiotic/Antimicrobial Resistance: https://www.who.int/news-room/fact-sheets/detail/antimicrobial-resistanceJava Health Forum article on âHealing the Growing Gap in Physician Trustâ: https://jamanetwork.com/journals/jama-health-forum/fullarticle/2843194Interview on âShared Decision Making â The Pinnacle of Patient-Centered Careâ: https://www.nejm.org/doi/full/10.1056/NEJMp1109283 -
Regulation is designed to protect patients. Incentives are designed to drive behaviour. When they misalign, the whole system distorts.
What happens when 20 year approval cycles collide with startup timelines, when âwellnessâ blurs into medicine, and when payment models reward activity over outcomes?
Technology moves fast. Regulation and funding move slowly. The friction between the two is shaping what healthcare becomes next.
Key Topics:
Regulation as trust infrastructure20-year pathways from innovation to reimbursementThe wellness vs medical grey zoneFee-for-service vs value-based careQuantity metrics vs quality outcomesPrevention and population health30% healthcare wasteWhether AI lowers costs or drives them upRelevant Links and Resources:
Connect with us:
Find all things Heidi at heidihealth.comConnect with Heidi on LinkedInConnect with Dr Tom Kelly on LinkedInConnect with Christina Farr:LinkedInSecond Opinion Media websiteLifers PodcastTwitter/XInstagramCheck out Christinaâs book 'The Storytellers Advantage'.Connect with Dr Hannah Allen on LinkedInConnect with Dr Simon Kos on LinkedInResources:
Germanyâs DiGA Fast-Track pathway (digital health reimbursement model): https://www.jmir.org/2024/1/e59013/FDA general guidance on medical devices & wellness products: https://www.fda.gov/medical-devicesOfficial NHS Quality Of Outcomes Framework general practice data: https://digital.nhs.uk/data-and-information/data-tools-and-services/data-services/general-practice-data-hub/quality-outcomes-framework-qofNew Zealand Deploys AI Scribe at a Population Level: https://www.healthcareitnews.com/news/anz/nz-deploy-ai-scribes-1000-emergency-cliniciansMcKinsey Report on Generative AI use and uptake: https://www.mckinsey.com/industries/healthcare/our-insights/generative-ai-in-healthcare-adoption-trends-and-whats-nextTrends in the shortfall of English NHS general practice doctors: https://www.bmj.com/content/390/bmj-2024-083978 -
Healthcare systems are operating under sustained pressure. Expanding the workforce has not translated into improved access or stability. In some regions, increasing training places has exposed deeper infrastructure gaps,like placement bottlenecks, geographic mismatches, funding constraints and outdated care models that no longer reflect the burden of modern disease.
How does capacity strain show up in day to day clinical work and why doesnât supply alone resolve demand? The panel explores alternative models of care: task shifting to mid level providers, telemedicine beyond video visits, asynchronous pathways, AI driven follow up agents and technology enabled antenatal support. As patients increasingly seek 24/7 guidance through digital tools, the conversation turns to risk, guardrails and accountability, and how to integrate new forms of care without compounding system instability.
Key Topics:
Workforce expansion and the limits of âmore doctorsâTraining bottlenecks and infrastructure gaps (including the UK 5,000 GP example)Chronic disease and the limits of hospital-era care modelsAsynchronous and agentic care pathwaysTask redistribution across nurses, midwives, allied health and peer networksClinician burnout and the âleaky bucketâ problemLiability and guardrails in AI-enabled careRelevant Links and Resources:
Connect with us:
Find all things Heidi at heidihealth.comConnect with Heidi on LinkedInConnect with Dr Tom Kelly on LinkedInConnect with Christina Farr:LinkedInSecond Opinion Media websiteLifers PodcastTwitter/XInstagramCheck out Christinaâs book 'The Storytellers Advantage'.Connect with Dr Hannah Allen on LinkedInConnect with Dr Simon Kos on LinkedInResources:
NHS Workplace Expansion (5000 GP initiative): https://www.england.nhs.uk/gp/expanding-our-workforce/Nowhere to go: Maternity Care Deserts across the US 2024 Report: https://www.marchofdimes.org/peristats/reports/united-states/maternity-care-desertsBMA report on medical attrition & workforce pressures: https://www.bma.org.uk/media/gsmfle1o/tackling-the-cost-of-attrition-uks-health-services.pdfThe state of medical education and practice in the UK Workplace experiences 2025 (GMC UK): https://www.gmc-uk.org/cdn/documents/somep-workplace-experiences-report-2025-full-report_pdf-111877911.pdf -
Rising chronic disease, ageing populations, clinician burnout, and regulatory inertia are colliding in real time and putting healthcare systems around the globe under immense pressure. In this opening episode of Care Beyond Barriers, Christina Farr sits down with Dr Tom Kelly, Dr Hannah Allen and Dr Simon Kos to unpack whatâs happening inside clinics and whether artificial intelligence can responsibly support clinicians without replacing them.
From the nostalgic âplatonic idealâ of a single trusted GP to todayâs cognitively overloaded, system-driven care model, the panel explores how the role of the doctor is evolving. They tackle uncomfortable questions around AI accuracy, human fallibility, regulation, autonomous prescribing, and what remains uniquely human in medicine.
Key Topics:
The global supply demand mismatch in healthcareThe cognitive overload of modern clinical practiceWhy the role of the doctor has fundamentally changedAI accuracy vs. human fallibility and the myth of perfectionRegulation, experimentation, and patient safetyAutonomous prescribing: inevitable evolution or ethical risk?The future identity of the clinician in an AI-augmented worldConnect with us:
Find all things Heidi at heidihealth.comConnect with Heidi on LinkedInConnect with Dr Tom Kelly on LinkedInConnect with Christina Farr:LinkedInSecond Opinion Media websiteLifers PodcastTwitter/XInstagramCheck out Christinaâs book 'The Storytellers Advantage'.Connect with Dr Hannah Allen on LinkedInConnect with Dr Simon Kos on LinkedInResources:
Doctronic (Utah autonomous prescribing case referenced)Utah & Doctronic Official Pilot (Regulatory Announcement): https://commerce.utah.gov/2026/01/06/news-release-utah-and-doctronic-announce-groundbreaking-partnership-for-ai-prescription-medication-renewals/Doctronic Autonomous AI Evaluation (preprint): https://arxiv.org/abs/2507.22902AI Prescribing Pilot in Utah (Politico): https://www.politico.com/news/2026/01/06/artificial-intelligence-prescribing-medications-utah-00709122Waymo (autonomous vehicle example discussed)Company safety impact dashboard: https://waymo.com/safety/impact/PubMed Autonomous Driving Crash Study: https://pubmed.ncbi.nlm.nih.gov/39485678/ -
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