0430 FDR

In this episode of Fika Bites, hosts John and Andy sit down with Huw Davies from Davies Furlong Consulting to discuss the refreshed National Competency Framework for data professionals in healthcare. The conversation delves into the rapid evolution of data analytics, driven by machine learning, AI, and the increasing importance of data ethics and governance.
Huw explains how the framework has evolved to include new roles such as data ethicists and governance specialists, reflecting the growing need for ethical oversight in the age of AI. The framework is designed to help professionals identify their skills, navigate potential career paths, and ultimately improve healthcare outcomes by leveraging data effectively.
Huw also emphasises that the framework is a product of collective input from the data community, and encourages more professionals to get involved. He advocates for the use of resources like AnalystX and highlights the framework’s potential in guiding the future of healthcare through informed, data-driven decisions.

Fika Bites Episode - Huw Davies

Smartwatches, fitness trackers, and health data—how are wearables reshaping clinical research? In this episode, Dr. Marat Fudim joins us for an insightful discussion on how wearable technology is shaping the way we monitor health and conduct research. Topics include:
 • Are wearables improving patient care or just tracking steps?
 • How do researchers use wearable data in clinical trials?
 •What are the biggest challenges in integrating this tech?
🎙️ Listen now and explore the possibilities of wearable health tech!

🔗 Access resources related to this episode https://dcri.org/blog/ep-4-wearables-clinical-research-data-trends-and-challenges

Wearables in Clinical Research: Data, Trends, and Challenges

The Last Generation [live]

LiquidCr [live]

Breathing Through Filters [live]

Noise-Wool World-Steel [live]

This podcast dives into how AI is chaging they way we use and develop wearable technologies and embedded systems.

Building Wearables with AI Capabilities

spring has sprung -- these are the sounds of youth 
on Spotify 04.1125

Sounds of Youth (live)

Welcome to *AI with Shaily*! 🎙️ I’m Shailendra Kumar, your host and AI enthusiast, bringing you the latest breakthroughs in artificial intelligence. Today, we’re exploring the cutting-edge world of wearable ultrasound technology for muscle monitoring — a fascinating innovation that’s changing how we understand and track muscle health. 💪✨

Imagine a device that lets you look inside your muscles anytime, anywhere, without the discomfort of needles or sticky electrodes. Sounds like science fiction? Well, wearable ultrasound is making this a reality! These compact, flexible gadgets use ultrasound waves to create high-resolution images of muscle movement and thickness in real time. Unlike traditional electromyography (EMG), which requires electrodes glued to your skin, this technology is non-invasive and much more comfortable. It can even monitor subtle muscles like the diaphragm during breathing — a vital function often overlooked. 🌬️🔍

What’s truly exciting is how user-friendly these devices have become. Made with soft, flexible silicone, they fit comfortably on your body all day long. They’re wireless and low-power, perfect for continuous, long-term monitoring without interfering with your daily activities or style. Whether it’s helping patients with respiratory issues or enhancing control over prosthetic limbs, the potential applications are vast and promising. 🌟📡

I’ve personally worked with athletes who struggled to gauge muscle fatigue during training. This technology could revolutionize sports science and rehabilitation by providing precise, real-time muscle condition updates — all without interrupting their workout routines. Imagine the edge this gives to performance and recovery! 🏃‍♂️⚡

Adding AI into the mix takes things even further. Advanced AI algorithms analyze the ultrasound data instantly, delivering deeper insights into muscle health, predicting problems before they happen, and customizing therapies on the spot. Plus, wireless data transmission means coaches, clinicians, or trainers can access this valuable information anytime, anywhere around the globe. 🌍🤖

Here’s a thought to ponder: If you had instant, inside-out muscle data at your fingertips, how would it transform your approach to fitness or health? 🤔

Before we close, a quick tip: Keep an eye on advancements in flexible materials and AI integration — these are the key drivers enhancing both the comfort and accuracy of wearable ultrasound devices. 🔬🧩

As Alan Turing wisely said, “We can only see a short distance ahead, but we can see plenty there that needs to be done.” Wearable ultrasound is expanding our vision inside the human body, and AI is illuminating the path forward. 🌟🧠

For more exciting AI insights, follow me on YouTube, Twitter, LinkedIn, and Medium. Don’t forget to subscribe to *AI with Shaily* for your weekly dose of AI breakthroughs. I’d love to hear your thoughts — share how you think this technology could impact your life in the comments! 💬✨

Thanks for listening, and until next time, stay curious and keep innovating! 🚀😊

Wearable Ultrasound and AI: Revolutionizing Muscle Monitoring and Health Insights

Dr. Susan Feng Lu, Professor of Operations Management and Statistics and the Alan Hudson Chair in Health Policy at the Rotman School of Management, University of Toronto, shares valuable insights from her research titled “Leveraging Machine Learning for Healthcare Operations: Enhancing Efficiency and Quality.” Her work highlights how advanced machine learning techniques can be applied to improve operational decision-making in healthcare, leading to both increased efficiency and better patient outcomes.

Professor Lu’s research investigates the operational foundations of healthcare delivery, with a focus on how public policy and technological innovation shape the efficiency, quality, and equity of healthcare systems. Her expertise spans areas including health technology, nursing home operations, and cardiac care delivery. She leverages empirical methods and machine learning to tackle critical challenges in healthcare operations. Her work has been published in premier journals such as Management Science, Manufacturing & Service Operations Management (MSOM), Production and Operations Management (POMS), Review of Economics and Statistics, Journal of Health Economics, and Information Systems Research, as well as high-profile interdisciplinary outlets like Science and Nature Scientific Reports.

Professor Susan’s research has received numerous awards, major research grants, and widespread media coverage, including features in Barron’s, Nature, Freakonomics, and Vox. She serves the academic community as an Associate Editor for Management Science, Manufacturing & Service Operations Management, and Production and Operations Management Society, and currently leads as President of the Chinese Economists Society. In addition to her academic contributions, she has testified before the United States Senate (2023) and has mentored entrepreneurs as an Economist Mentor for the Creative Destruction Lab.

Dr. Susan received her Ph.D. from the Kellogg School of Management at Northwestern University and is recognized as a leading scholar at the nexus of health economics, operations, and analytics.

This podcast is brought to you by Global Management Consultancy. For more information, please visit www.globalmanagementconsultancy.com.

Disclaimer:

A. The background music used in this video is the property of its respective developer and is protected by Copyright. Although it is a free version, Business Talk, Global Management Consultancy and Deepak Bhatt do not hold the rights to this music.

B. Prof. Susan Feng Lu generously shared profound insights from her research, “Leveraging Machine Learning for Healthcare Operations: Enhancing Efficiency and Quality,” during her appearance on the Business Talk podcast channel. The uploaded video contains copyrighted material; therefore, any modifications to graphics, music, or the presence of the author or host are strictly prohibited.

All content is © 2025. All rights reserved.

Healthcare Meets AI: Dr. Susan Feng Lu on Smarter Operations and Quality Care

🎙️ У новому випуску розмовляємо з Самвелом Акобяном, серійним підприємцем та співзасновником компанії lilo, про революцію в українському медичному страхуванні через технології та повну зміну філософії — від лікування до превенції.

Про що ще говоримо в епізоді:

✅ Чому державне медичне страхування (ДМС) не працює в Україні
✅ Що зробили в lilo: персональні лікарі, стандартизовані протоколи та обов'язкові чекапи
✅ Тестування гіпотези від B2C до B2B
✅ Інвестиції в майбутнє медицини: AI, мікробіом та персоналізоване лікування

👉 Поділіться в коментарях: що було найцікавішим для вас? Що цікаво дізнатися на цю тему?

📎 Корисні посилання:
РУУУШ Наживо+
Instagram: https://www.instagram.com/ruuush.nazhyvo

Школа РУУУШ
Instagram: http://instagram.com/ruuush.marketing/
LinkedIn: https://www.linkedin.com/company/ruuush-marketing/
Сайт: https://www.ruuush.marketing

Як lilо змінює медичне страхування в Україні. Самвел Акобян, lilo insurance

https://www.hanf-magazin.com/recht/rechtslage-deutschland/cannabis-telemedizin-dr-zoom-wie-weit-darf-digitale-versorgung-gehen/

Die Digitalisierung des Gesundheitswesens schreitet voran, doch gerade bei sensiblen Arzneimitteln wie medizinischem Cannabis zeigen aktuelle Gerichtsurteile: Nicht alles, was technisch machbar ist, ist auch rechtlich zulässig. Das Landgericht Hamburg und das Oberlandesgericht Frankfurt mahnen zur Zurückhaltung bei Fernverschreibungen, insbesondere bei Werbung mit Begriffen wie „einfach, schnell & günstig“. Das Bundessozialgericht stellt klare Anforderungen an die Begründung und Dokumentation von Verordnungen zulasten der Krankenkassen. Der Bundesgerichtshof erklärt Cannabis-Verschreibungen ohne medizinische Notwendigkeit sogar für strafbar. Für Plattformen im Bereich Telemedizin bedeutet das: Es braucht neue Standards, transparente Prozesse und eine konsequente Orientierung an ärztlicher Verantwortung. Nur dann entsteht eine zukunftssichere, rechtlich belastbare Versorgung.

Cannabis & Telemedizin: Dr. Zoom – Wie weit darf digitale Versorgung gehen?

🚀 Acabei de dar mais um passo importante na minha jornada em Data Science e Informática em Saúde!

Com grande entusiasmo, compartilho a conclusão do curso "Novas Tecnologias e a Internet das Coisas Aplicada à Saúde", do IBMR. Essa experiência foi fundamental para aprofundar minha compreensão sobre as inovações que já estão moldando o presente e o futuro da saúde.

No formato "Encontro com Especialista", tive acesso a exemplos práticos, discussões estratégicas e uma verdadeira imersão em temas como:

Tecnologias em saúde: de robótica a softwares de gestão e segurança da informação
Internet das Coisas (IoT) aplicada ao cuidado do paciente
Mapeamento genético, IA e monitoramento remoto para um cuidado preditivo e personalizado
Dispositivos e sensores para adesão ao tratamento e inteligência de leitos
Empoderamento profissional como chave para a fidelização do paciente e liderança em inovação
💡 Para consolidar o conhecimento e contribuir com a minha rede, preparei um áudio-resumo das minhas anotações, já disponível! Ele foi criado com o auxílio do NotebookLM e traz reflexões e insights gerados ao longo do curso. É ideal para quem quer aprender em movimento e se manter atualizado sobre as tendências mais relevantes da Saúde Digital.

Convido você a acompanhar essa jornada comigo e trocar ideias sobre como podemos, juntos, transformar a saúde com tecnologia, estratégia e humanização.

📲 Vamos nos conectar?

#SaúdeDigital #TecnologiaNaSaúde #IoTnaSaúde #InovaçãoEmSaúde #HealthTech #EmpoderamentoProfissional #IBMR #CuidadoAoPaciente #EducaçãoContinuada #TransformaçãoDigital #DataDrivenHealth

Novas Tecnologias e a Internet das Coisas Aplicada à Saúde - Diário Acadêmico

HealthCast - 01

Explore regulatory‑grade multimodal data de‑identification and tokenisation with Youssef Mellah, PhD, Senior Data Scientist at John Snow Labs and Srikanth Kumar Rana, Solutions Architect at Databricks. 
Learn how to remove, mask or transform PHI across clinical notes, tables, PDFs and DICOMs at scale, while meeting HIPAA, GDPR and CCPA standards — all without sacrificing analytical value. 

Timestamps
00:00 – Welcome & Episode Overview
02:43 – How Databricks supports secure De‑identification workflows
03:50 – Built-in techniques: masking, encryption, hashing
05:26 – Introduction to Multimodal Data De-Identification
07:15 – OCR + NLP pipeline for visual & text data – PHI Extraction
08:35 – Notebook demo: PHI identification in clinical notes
12:00 – PDF de-identification
12:56 – DICOM file de-identification
14:18 – Output: consistent masking across all modalities

Listen on:
• ⁠⁠Apple Podcast⁠⁠: https://podcasts.apple.com/us/podcast/the-healthcare-ai-podcast/id1827098175
• ⁠⁠Spotify⁠⁠: https://open.spotify.com/show/2XNrQBeCY7OGql2jVhcP7t 
• Amazon Music⁠⁠: https://music.amazon.com/podcasts


Connect with us:

Our website: https://www.johnsnowlabs.com/
LinkedIn: https://www.linkedin.com/company/johnsnowlabs/
Facebook: https://www.facebook.com/JohnSnowLabsInc/
X: https://x.com/JohnSnowLabs

The Healthcare AI Podcast – Ep. 2: De-Identification in Multimodal Medical Data (Text, PDF, DICOM)

Unlock the secrets of data mastery with Shailendra, a 27-year veteran in AI, ML, and Data Science, driving AU$ 6 Billion in transformative value. As the author of 'Making Money out of Data,' their strategies redefine digital success. With expertise honed at IBM and Accenture, they drive innovation and data monetization. Explore how loyalty programs like Flybuys and Everyday Rewards revolutionize business—connect with Shaily today.

РУУУШ наживо – це подкаст, в якому ми говоримо про маркетингові інновації в широкому розумінні: бренд-стратегії, ефективність комунікацій, людиноцентричність і нові маркетингові фреймворки. Від засновника школи інноваційного маркетингу РУУУШ.

Explore real-world applications of generative AI, large language models, and advanced NLP in The Applied AI Podcast. We dive into healthcare, finance, legal, life sciences, and more with expert interviews, practical case studies, and insights on open-source tools and frameworks. Discover how organizations deploy AI at scale, navigate ethical and technical challenges, and unlock transformative business value. Open and impactful discussions for AI professionals and enthusiasts.

@4uhnyc

Booking US/EU/[WRLD]: Laststopmgmt@gmail.com

Welcome to Business Talk, your go-to podcast for the latest trends, insights, and thought-provoking discussions in the business world. Whether you're a business professional, entrepreneur, researcher, or academic, our episodes will challenge you to rethink conventional wisdom and inspire actionable ideas.

Brought to you by Global Management Consultancy, we are committed to driving innovation and excellence in the business community. All content Copyrighted 2024 by Global Management Consultancy.

For more information about our past and upcoming podcasts, please click here:https://www.deepakbbhatt.com/businesstalk

hanf-magazin.com ist das größte deutschsprachige Magazin zum Thema Hanf.

Stream DNA podcast seeks to highlight activities within the health data and analytics profession, aiming to engage with individuals carrying out interesting and innovative projects within the health and care ecosystem.

New tracks tagged #HealthTech