How Ambient AI helps doctors reduce paperwork and focus on patients

Burnout often comes not from patients, but from the paperwork around them. Our AI speed training helps you finish documentation in a fraction of the time while keeping quality high. Less screen time More patient time More balance for you Follow us: TLTD Medical AI

Is AI ready for the clinic, or are we rushing into a new era of medical error? A landmark Imperial College London study is sparking intense debate, showing an AI-stethoscope can double heart failure detection and find atrial fibrillation 3.5 times more often. But here's the part of the story that isn't making headlines: 70% of the doctors in the trial abandoned the tool within a year. The reason? A staggering two-thirds of the AI's heart failure warnings were false positives, burying already overworked GPs under a mountain of unnecessary follow-up tests and creating immense patient anxiety. This raises a critical question: Does a clinically "accurate" AI that clinicians refuse to use actually represent progress, or is it just a new form of technological burnout creating more problems than it solves? Before we celebrate the algorithm, we need to confront the reality of its impact on our strained healthcare system. Read the full article in our news website: https://eiai.today/ #AIinHealthcare #DigitalHealth #MedTech #ClinicalInnovation #DoctorBurnout #PatientSafety #FutureofMedicine #HealthTech

Excited to share a new blog on the role of AI voice agents in healthcare. The recent Emory study highlights how AI can improve blood pressure monitoring for older adults. At the same time, Hyro’s ARMR™ Outreach shows how commercial solutions can scale proactive patient engagement. The takeaway: AI voice agents aren’t replacing humans — they’re supporting them. They provide consistent, multilingual outreach, while clinicians focus on escalations and personalized care. Full post here. https://bit.ly/3JSxCQ4

🇨🇭 Big news in Switzerland: E-Medicus AG is integrating Tandem’s AI medical assistant. Swiss doctors will soon have AI support for both documentation and TARDOC billing. Save time, reduce stress, and keep the focus on patients. Read more about our partnership with E-Medicus here: https://lnkd.in/dwtzSxfm

This is how AI will revolutionise healthcare #LinkedInNewsUK Forty years ago early computers facilitated clinical decisions by comparing medical symptoms and signs with known disease profiles. A diagnosis depends on a combination of factors not always the most prominent. A combination of weak discriminants is often the most predictive for a given diagnosis. Todays AI systems will facilitate open access to rapid processing of medical information. Whilst this will have many benefits there is a risk that bypassing medical gatekeepers in the diagnostic process will lead to overdiagnosis and overwhelm care systems.

Can AI Reduce the 250,000 Annual Deaths a Year to Mistakes? A 2016 Johns Hopkins study estimated that medical mistakes cause 250,000 American deaths annually, Microsoft's Diagnostic Orchestrator achieved 85% accuracy in diagnosing New England Journal of Medicine case studies, outperforming primary-care doctors. AI in healthcare, patients should keep a health diary, enlist AI for analysis, clarify communications, and seek second opinions.

With the demystification powers of AI in patients’ hands, the cracks in healthcare are starkly visible: too often, doctors make critical calls on thin history & pattern recognition - not deep symptom analysis. Patients deserve better. The quality bar of healthcare must go up.

It’s like the Barnum effect, but with diagnoses instead of horoscopes! Researchers gave LLMs 300 realistic medical situations, but each had one made-up detail (like a fake symptom or syndrome). The results were… not great: LLMs hallucinated in 50-82% of cases! Even top models like GPT-4o (at the time) hallucinated more than half the time. This means AI confidently “explained” non-existent conditions. For example, if told a patient had “Faulkenstein Syndrome” (a made-up illness), the LLM would invent details about it. It’s a bit like horoscopes seeming to fit everyone who reads them. So, despite AI’s amazing potential, it’s still too soon to trust general LLMs as independent medical advisors. Human experience, clinical judgment, and careful checks are still the most important things in healthcare. #AIinHealthcare #LLMHallucinations #MedicalAI #DigitalHealth #PatientSafety

NHS trial of AI assistant TORTUS gives clinicians 25% more time with patients: 🤖The tool uses ambient voice tech to transcribe consultations and generate draft notes, cutting admin burden 🏥 Tested across nine NHS sites with 17,000 patient interactions, showing 23.5% more patient-clinician interaction and 8.2% shorter appointments ⏱️ In A&E, doctors saw 13.4% more patients per shift and completed initial notes in half the time 👥 Clinicians felt less overwhelmed by notetaking, with particular benefits for neurodivergent staff, while 92% of patients consented and reported better engagement 📊 Economic modelling suggests national rollout could enable 9,000+ extra A&E consultations daily, save £176m in documentation time and unlock £658m in annual capacity #digitalhealth #ai

One of the things I love about working in healthcare technology is seeing research and innovation line up with real-world solutions. Emory Healthcare’s study shows how AI voice agents can guide seniors through self-reported blood pressure monitoring. Hyro’s new ARMR™ Outreach solution demonstrates how similar technology can scale patient engagement for coverage continuity. AI can work early, stay late, and speak multiple languages — while humans focus on higher-value work. Blog by Raheel Retiwalla. https://bit.ly/3IfZi0C