… the metric cheat sheets… 4/

… information on metric relations (credit Patrick Godau). 5/

Thanks to the whole team for the great team effort - Annika Reinke Paul F. Jaeger Minu Dietlinde Tizabi and all: It really was a pleasure working with you 🙌🏻 6/

🤫Coming up🤫 #MetricsReloaded-Surgery and #MetricsReloaded-Synthesis/Reconstruction 7/7

Have you heard of the #OneDigitalHealth concept? 💡 ODH links digital health literacy with ecology literacy to better understand and engage in health prevention activities! 📲📊🩺 #HealthData #Multicriteria #DigitalHealth #OneHealth

One Digital Health aims to digitally transform health ecosystems, by implementing a systemic health and life sciences approach that takes into account broad digital technology perspectives on human health, animal health, and the environment. #OneHealth pubmed.ncbi.nlm.nih.gov/33492240/

New in JMIR MedEdu: Sharing Digital Health Educational Resources in a One-Stop Shop Portal: Tutorial on the Catalog and Index of Digital Health Teaching Resources (CIDHR) Semantic Search Engine dlvr.it/T3bTFC

Our paper on Sharing Digital Health Educational Resources in a One-Stop Shop Portal CIDHR Semantic Search Engine is now in JMIR #MedicalEducation. #CIDHR is facilitate knowledge sharing & accessibility to transform #digitalhealth education. 📚💻 JMIR Publications mededu.jmir.org/2024/1/e48393

📢📢📢 Call for Participation to a Survey about: Students of health-related fields’ readiness to adopt Generative Artificial Intelligence (GenAI) in their academic studies and future practice docs.google.com/forms/d/e/1FAI…

📢📢📢 Appel à participation à un sondage sur la "Disposition des étudiants des domaines liés à la santé, à utiliser l’intelligence artificielle générative au cours de leurs études et leurs pratiques futures" docs.google.com/forms/d/e/1FAI…

New in JMIR MedEdu: Digital Health Education for the Future: The SaNuRN (Santé Numérique Rouen-Nice) Consortium’s Journey dlvr.it/T6D6WW

📢⚕️Our latest publication in @JMIR_MedicalED @JMIR explores Digital Health Education for the Future & the journey of the SaNuRN Consortium! mededu.jmir.org/2024/1/e53997 #digitalhealth #ehealth #healthcareinnovation #medicaleducation #telemedicine #livinglabs

Enhancing Lessons on the Internet of Things in Science, Technology, Engineering, and Medical Education with a Remote Lab mdpi.com/2984200 #mdpisensors via Sensors MDPI

Empowering healthcare education: A multilingual ontology for #medicalinformatics & #digitalhealth integrated to #AI powered training in smart #hospitals, Arriel Benis, Grosjean J, Disson F, Crisan-Vida M, Weber, Stoicu-Tivadar L, Pascal Staccini, Darmoni S journals.sagepub.com/doi/10.1177/14…

The MIE 2025 paper deadline is 21st of Oct! Join us in Glasgow from 19-21 May 2025! Explore healthcare research, innovative technologies, and connect mie2025.efmi.org @BCS #BCS European Federation for Medical Informatics #IT #MIE2025 #MedicalInformatics #HealthTech #Innovation #Conference2025 #DigitalHealth

Empowering healthcare education: A multilingual ontology for medical informatics & digital health MIMO integrated to AI powered training in smart hospitals. Arriel Benis, J Grosjean, F Disson, M Crisan-Vida, P Weber, L Stoicu-Tivadar, Pascal Staccini, S.Darmoni journals.sagepub.com/doi/full/10.11…

🧒👧 Thrilled to share our article: "Digital Platform for Pediatric Mental Health Support During Armed Conflicts: Development & Usability Study" published in JMIR Formative Research formative.jmir.org/2024/1/e63777 #DigitalHealth #MentalHealth #Pediatrics #GlobalHealth #PopulationHealth

I am excited to become Editor-in-Chief at JMIR Medical Informatics (JMIR Publications), following Dr. Christian Lovis's exceptional leadership. I look forward to fostering innovation and collaborating with our vibrant community! Read the full announcement: medinform.jmir.org/announcements/…

We presented our paper on #FAIR principles in health terminology servers at #MIE2025! HeTOP's cross-lingual approach connects 100+ terminologies in 55+ languages, supporting #OneDigitalHealth through ODH-UT. #Informatics #HealthInformatics #ODH ebooks.iospress.nl/doi/10.3233/SH…

Can #MachineLearning predict unplanned #cesareans during labor? Our new study (260K+ births) shows models using maternal+fetal data can forecast cesarean risk with 95% accuracy, for faster, smarter decisions in the delivery room. doi.org/10.1002/ijgo.7… #AI #ObGyn #digitalhealth