RAYLYTIC

5 things that just make sense for clinical trials in #Orthopedics and #Spine in the UNITY Platform. 1. Automated image quality checks ↳Validate image accuracy and quality (patient positioning, image type, and more) fully automatically to compile consistent and complete medical image datasets. 2. Automated medical image de-identification ↳Yep. It's browser-based and HIPAA compliant. 3. Seemless link to an expert imaging core lab. ↳ Generate radiographic evidence custom to the unique demands of your study. We offer over 150 radiographic evalutions to deliver holistic insights on the safety and efficacy of spinal/orthopedic devices. 4. Unlimited storage space ↳ Never run out of storage and scale your databases to include thousands of patients. 5. Intuitive, web-based interface ↳ Reach more sites and become their sponsor of choice. All of the details on our website: https://hubs.li/Q02phPD70 #ClinicalTrials #EDC

As we prepare to share some exciting news for #THA research in the coming weeks, we’re throwing it back to where it all started - Our 2D/3D registration algorithm for assessing cup anteversion, inclination, and polyethylene wear. Measuring hip implant inclination and anteversion is a delicate task, and two key questions often come up: 1️⃣ What happens if a patient isn’t aligned in the frontal plane due to their unique pelvic morphology? 2️⃣ How do changes in implant appearance from the patient’s offset position to the central X-ray beam affect measurements? That’s why we developed an AI algorithm to address this challenge. It automatically determines the inclination of: ✔️ The Biischial Line (BL) ✔️ The Interteardrop Line (ITL) These serve as additional reference axes to measure anteversion and inclination based on the patient’s individual pelvic positioning. 👉 Read more in our case study here: https://lnkd.in/eT9bjWMJ AND stay tuned in the coming weeks for a BIG announcement for our image analysis applications for #HipSurgery research. #Athroplasty #MedicalImageAnalysis #Xray #Orthopedics

Breaking Down PROMs and PREMs: What's the difference? 🤔 Healthcare research is full of acronyms, but understanding them shouldn’t be a headache. Let’s break it down: 🔹 PROMs = Patient-Reported Outcome Measures These focus on a patient’s health status—things like symptoms and functional ability—using standardized, validated questionnaires. 🔹 PREMs = Patient-Reported Experience Measures These capture a patient’s hospital visit experience, evaluating the practical and relational aspects of care. Why are they important? Together, PROMs and PREMs give a holistic view of care quality and patient satisfaction, driving improvements in healthcare services. 👉 Learn more here about how you can capture both PROMs and PREMs with minimal burden: https://hubs.li/Q031H7t10 #HealthcareInnovation #PROMs #PREMs #PatientOutcomes #QualityOfCare

From all of us at the RAYLYTIC team, Happy Holidays!❄️🎅🎄 To each study sponsor, UNITY user, and scientific collaborator, we would like to thank you warmly for another year of your continued trust and partnership. It has been an excellent year, full of learning, innovation, and growth, and we're honored to end it with some mesmerizing developments to our #MedicalImage analysis technology for #Orthopedics research that we'll share in the upcoming weeks. Looking forward to advancing patient outcomes together in 2025! Best wishes, The RAYLYTIC Team #HipSurgery #THA

Last week, we had the privilege of exchanging ideas for the comprehensive and systematic implementation of Patient-Reported Outcome Measures (#PROMs) in Germany at the 13. MVF-Congress in Berlin. Here are our highlights➡️ - Germany's neighboring countries, which are more centrally organized, are often significantly more decisive and faster when it comes to introducing new technologies and standards. - The path to comprehensive implementation of PROMs therefore remains long. BUT technology likely won't be the problem! Especially as #FHIR becomes the standard with which we will communicate in the future. Rather, political and substantive issues require further discussion. Thank you to the diverse group of healthcare actors, including representatives from the Royal Danish Embassy, Technische Universität Berlin, Aktionsbündnis Patientensicherheit e. V., Institut für Qualität und Wirtschaftlichkeit im Gesundheitswesen (IQWiG), AOK-Bundesverband, DAS REHAPORTAL and the Zentrum für evidenzbasierte Gesundsheitsversogung, for making this event possible and for your commitment to advancing patient-centered care! Learn more about how we're imbedding PROMs into care pathways here: https://lnkd.in/ey5SSvQs #VBHC #ValueBasedHealthcare #PatientCare #PatientPerspectives

🔍 Study Spotlight: Optimizing #PROMs Collection at Charité - Universitätsmedizin Berlin with the UNITY Platform A recent study from Charité, Berlin, highlighted the time efficiency and accuracy benefits of ePROMs (electronic Patient-Reported Outcome Measures) over aPROMs (analog PROMs) using RAYLYTIC’s UNITY platform. Key Findings: - ePROMs took significantly less time (9.41 min) compared to aPROMs (11.97 min), improving workflow efficiency. - The use of ePROMs also reduces data entry errors when transferring information to the hospital’s EHR system, ensuring greater accuracy. - Age is not relevant for questionnaire completion duration This study underscores the importance of digitization in healthcare for improving both patient care and operational efficiency. Ready to optimize your #OutcomeMeasure collection and reduce errors? Learn more about how UNITY platform can streamline your data collection today: https://lnkd.in/ey5SSvQs

Collecting #MedicalImaging for your clinical trial or research? 🚨 Watch out for the four 4 P's➡️ 1️⃣ PHI Risks: Uploading images or #DICOM files containing identifying PHI. These can hide in DICOM tags and pose compliance risks. 2️⃣ Poor Image Quality: Even subtle issues like positioning or imaging profile can compromise the accuracy of critical measurements required by regulatory bodies. 3️⃣ Protocol Deviations: Missed imaging timepoints can derail your study. Keeping these deadlines top of mind is essential for avoiding costly deviations. 4️⃣ (Over)Promising & Underdelivering: Setting unrealistic imaging endpoints can hinder your ability to deliver actionable, credible data. Regulatory bodies want a meaningful connection between imaging and outcome data. 👉 Ready to see how we can help you overcome common imaging management challenges? Schedule a demo today! https://hubs.li/Q02-HkxD0 #ClinicalTrials #EDC #Orthopedics

The first wave of hype around AI in radiology is coming to a close.🫢 So now what? What will the next wave of AI in medical imaging mean? Now that the initial hype around AI in radiology has settled, it's all about: - feasible integration - explainability - trustworthiness At RAYLYTIC, we're working toward all these elements of robust AI for clinical research, for example with our AI-based application for measuring parameters of sagittal balance. 👉 Want to learn more about how AI is transforming sagittal balance assessment? Check out our case study here: https://hubs.li/Q02ZRrZg0 #RSNA2024 #SpineSurgery #SagittalBalance

This paper is a significant contribution to understanding #scoliosis progression and highlights the critical factors clinicians should consider for effective management. The paper's findings underline key predictors of curve progression in #AIS: Unbraced Patients: Initial Cobb angle > 25° (high evidence) and thoracic curve type (moderate evidence). Braced Patients: Flexibility < 28% (high evidence) and limited in-brace correction (moderate evidence). Other Factors: Thoracic curves, high apical vertebral rotation, rib vertebra angle differences, and low pelvic tilt, though supported by weaker evidence, also contribute to progression risk. At RAYLYTIC, we’re excited to support such advancements with our validated #AI method for measuring #CobbAngle magnitude, enabling precision and efficiency in scoliosis research. See our case study here: https://lnkd.in/erjHSqtf #MedicalImaging #Orthopedics

The first wave of hype around AI in radiology is coming to a close.🫢 So now what? What will the next wave of AI in medical imaging mean? Now that the initial hype around AI in radiology has settled, it's all about: - feasible integration - explainability - trustworthiness At RAYLYTIC, we're working toward all these elements of robust AI for clinical research, for example with our AI-based application for measuring parameters of sagittal balance. 👉 Want to learn more about how AI is transforming sagittal balance assessment? Check out our case study here: https://hubs.li/Q02ZRrZg0 #RSNA2024 #SpineSurgery #SagittalBalance