OM1, Inc.

🎙️🌟 What if you could shorten the cycle between data insights and clinical impact? Joseph Zabinski, Ph.D., M.E.M. discusses how AI removes the translational process by learning from a patient's past experience before diagnosis and picks up patterns. 📍 Watch the full episode here https://okt.to/TPWr63 📩Sign up for our email list to get notified when the next episode is released: https://okt.to/K1DCOv #AI #BehindtheInsights #Derm #RWE

To drive meaningful impact in #drugdevelopment, researchers need scalable, high-quality data that is fit-for-purpose. Our latest blog explores how Aspen supports faster decision-making, deeper insights, and more effective evidence generation. 📖 Learn about the technology changing the research paradigm: https://okt.to/RJu9nx #Regulatory #Pharma #MedicalAffairs #ClinicalData #RealWorldEvidence #DataNetworks #OM1Aspen

🤝 Meet the OM1 team at the American Academy of Dermatology Annual Meeting! Stop by booth #2062 or schedule a time to meet and discuss how we can help power your next #dermatology breakthrough, together. 📆 Book your meeting here: https://okt.to/HrSeZR Joseph Zabinski, Ph.D., M.E.M. Catherine Richards, PhD MPH Kristine Christie David Fineza Andrew Wright

🫀 Our hearts belong to data this Valentine’s Day. With insights that span millions of patients, our #cardiometabolic network makes sure your research doesn’t skip a beat: ❤️ Specialized, research ready, and #regulatory grade data that fills #patientjourney gaps ❤️ Scalable solutions for tracking outcomes, care pathways, and treatment impacts ❤️ Powerful tools to accelerate your evidence generation and deliver better #patientoutcomes This Valentine’s Day, don’t just match with any data partner—choose one that truly understands your research needs. 📍 Ready to fall in love with smarter insights? Learn more: https://okt.to/jThB0R #ValentinesDay #RWD #HealthcareInnovation #RealWorldEvidence #RealWorldData #Cardiometabolic

Pleased to announce the first known #AI model to estimate the PHQ-9 screening and severity tool using clinical notes (ePHQ-9)!!! The model reads an existing mental health clinical encounter note from an electronic medical record and generates a score (without any effort on the part of the clinician or patient). This has the potential to greatly enhance outcomes for depressed patients in the #realworld. Thanks to OM1, Inc. for funding this amazing research. https://lnkd.in/eACRWU8i

💡Why settle for partial #dermatology insights when you can reveal the full #patientjourney? Access #RWD from 5,000+ providers and 780+ practices, covering conditions like #psoriasis, #atopicdermatitis, #hidradenitissuppurativa, and more. Explore whats possible 👉 https://lnkd.in/eCUKirqb

💡A new paradigm for #clinicaldata collection is emerging. In our latest blog, Rich Gliklich shares how this new paradigm is supported by a #regulatory compliant active data collection processes to reduce costs and increase site satisfaction. 📖 Learn more: https://okt.to/2oFOzn #RWD #RealWorldEvidence #DataNetworks #Aspen

Introducing: 🎙️🌟 Behind the Insights! A monthly video series where thought leaders and industry experts pull back the curtain to share #realworlddata, #AI, and evidence generation insights. Our first episode features Joseph Zabinski, Ph.D., M.E.M., and his thoughts on the role AI plays in #RWD for #dermatology, and how it can impact #patientoutcomes. 📍Watch the full episode here 👉 https://okt.to/u2keBT 📩 Sign up for our email list to get notified when the next episode is released: https://okt.to/kXJFvS #BehindtheInsights #Derm #RWE

🧠 Now Available: Full manuscript on measuring #depression outcomes in the real-world Explore how #AI transforms unstructured clinical notes from a multi-source real-world mental health database to estimate #PHQ9 scores. 📍 Read the full manuscript here: https://okt.to/7GSgXm Pedro Alves, Carl D. Marci, M.D., Chandra Cohen-Stavi, PhD, Katelynn Murray Whelan, Costas Boussios Elsevier Elsevier for Life Sciences #MentalHealth #Depression #RealWorldEvidence #RWD

❤️ This Heart Failure Awareness Week, we’re highlighting the need for better data to improve detection, treatment, and outcomes. OM1’s #HeartFailure Data Network uses #realworlddata and #AI to uncover critical insights into disease progression and care pathways. Explore the eBook to learn: 🫀 How #RWD enhances patient identification & risk stratification 🫀 #AI-driven insights for optimizing treatment 🫀 Real-world applications transforming care 📖 Read more: https://okt.to/ZvC7j1 #HFWeek2025 #HeartFailureAwareness #RealWorldEvidence