Jeevaraj Fredrick’s Post

Thank you Yan Chow, MD, MBA for presenting such important information to our attendees about AI Healthcare and Big Data. Although the pace is moving rapidly, it is essential that we have the time to understand the use and value of AI and Big data for physicians, systems, and most importantly patients. #healthcareAI, #Big data #healthcaretechnology #patientoutcomes #patientcare

𝗣𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗮𝗹𝗲𝗿𝘁! Big shoutout to our colleague Sai Pavan Kumar Veeranki, who along with Markus Kreuzthaler, 𝗔𝗸𝗶𝗹𝗮 𝗔𝗯𝗱𝘂𝗹𝗻𝗮𝘇𝗮𝗿, 𝗗𝗮𝘃𝗶𝗱 𝗟𝘂𝗺𝗲𝗻𝘁𝗮 and Diether Kramer published a paper on 𝗠𝘂𝗹𝘁𝗶-𝗹𝗮𝗯𝗲𝗹 𝘁𝗲𝘅𝘁 𝗰𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝘃𝗶𝗮 𝘀𝗲𝗰𝗼𝗻𝗱𝗮𝗿𝘆 𝘂𝘀𝗲 𝗼𝗳 𝗹𝗮𝗿𝗴𝗲 𝗰𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗱𝗮𝘁𝗮. Healthcare is entering a new era, driven by data and innovation. The Predicting Health team is at the forefront of this transformation with their groundbreaking work on multi-label text classification—a machine learning (ML) method designed to extract actionable insights from surgical notes and suggest surgeons the procedural codes. Thus reducing the admistative burden on surgeons. 𝗧𝗵𝗲 𝗕𝗿𝗲𝗮𝗸𝘁𝗵𝗿𝗼𝘂𝗴𝗵 Traditional tools often miss the interconnected nature of patient health. The Predicting Health team’s advanced ML model, leveraging BERT based models and fasttext tackles this head-on, identifying multiple surgical procedures. This innovation promises quicker, more accurate coding system. 𝗪𝗵𝘆 𝗜𝘁 𝗠𝗮𝘁𝘁𝗲𝗿𝘀 𝘌𝘧𝘧𝘪𝘤𝘪𝘦𝘯𝘤𝘺: Automating documentation analysis frees clinicians to focus on patients. 𝘚𝘮𝘢𝘳𝘵𝘦𝘳 𝘚𝘺𝘴𝘵𝘦𝘮𝘴: Data-driven insights help optimize resources and improve hospital workflows. The future of healthcare is here, and it’s predictive, personalized, and powered by machine learning. Join us in supporting teams like Predicting Health as they lead the charge toward smarter, safer care. Please find the link to the article in the comments #AI #Healthcare #PredictingHealth #Innovation #DataScience

Come learn how #analytics and #AI tools can help transform patient care and improve outcomes. Join us!

In this Project project I focused on developing an EHR-based invasive mechanical ventilation predictor! This clinical decision support tool leverages advanced machine learning techniques to analyze patient data and predict the risk of requiring invasive ventilation within 48 hours. By providing timely insights, we aim to enhance patient outcomes, improve resource allocation, and support healthcare providers in making informed decisions during critical care. I'm looking forward to continuing to explore innovations that drive better healthcare outcomes! #Healthcare #MachineLearning #AI #DataScience #PredictiveAnalytics #ClinicalDecisionSupport #COVID19

Our latest white paper is now available to download! Explore insights on leveraging disease, real-world and population-level data to train AI models effectively. In an era where AI is reshaping healthcare, access to robust datasets is pivotal. This comprehensive guide delves into methodologies and best practices for utilizing diverse data sources, driving innovation in diagnosis, treatment and patient care. Empower your team with the knowledge to unlock insights from complex datasets. Download the white paper now to stay ahead in AI-driven healthcare: https://bit.ly/3Rd2UC1 #HealthcareAI #DataScience #HealthTech #ArtificialIntelligence #MedicalResearch #HealthData #Lifebit

Healthcare organizations, no matter the size, need ways to maximize their resources to deliver high-quality care to their patients. Fortunately, generative AI and other technologies can provide that support. The series Unlocking Big Data, presented by HIMSS and moderated by Dr. Indu Subaiya, explores the importance of delivering trusted data to healthcare decision-makers. This article covers insights from Episode 4 of the series, which features industry leaders Jake Hochberg, VP of Analytics and Chief Analytics Officer at Arcadia and Luis M. Ahumada, Director of Health Data Science and Analytics at Johns Hopkins All Children’s Hospital. https://ow.ly/KkBQ50RNUNy #genAI #healthcaredata #healthcareinnovation

Data validation in Healthcare Analytics and Business Intelligence can be challenging, but it's not impossible! At the Healthcare Executive Summit, hosted by the marcus evans Group, a panel of CFOs discussed AI solutions that left me convinced. Acute Hospital Operators can benefit from visualization tools that enhance decision-making capabilities, improve throughput and capacity, and prioritize patient care quality and safety. By investing in collaborative and multidisciplinary care models and advancing technology, we can produce better outcomes. Let's stay intentional and keep evolving our interventions to drive progress. #HealthcareAnalytics #BusinessIntelligence #AI #HealthcareTechnology #PatientCare #marcusevansgroup

Healthcare organizations, no matter the size, need ways to maximize their resources to deliver high-quality care to their patients. Fortunately, generative AI and other technologies can provide that support. The series Unlocking Big Data, presented by HIMSS and moderated by Dr. Indu Subaiya, explores the importance of delivering trusted data to healthcare decision-makers. This article covers insights from Episode 4 of the series, which features industry leaders Jake Hochberg, VP of Analytics and Chief Analytics Officer at Arcadia and Luis M. Ahumada, Director of Health Data Science and Analytics at Johns Hopkins All Children’s Hospital. https://ow.ly/jfru50RN1fF #genAI #healthcaredata #healthcareinnovation

Healthcare organizations, no matter the size, need ways to maximize their resources to deliver high-quality care to their patients. Fortunately, generative AI and other technologies can provide that support. The series Unlocking Big Data, presented by HIMSS and moderated by Dr. Indu Subaiya, explores the importance of delivering trusted data to healthcare decision-makers. This article covers insights from Episode 4 of the series, which features industry leaders Jake Hochberg, VP of Analytics and Chief Analytics Officer at Arcadia and Luis M. Ahumada, Director of Health Data Science and Analytics at Johns Hopkins All Children’s Hospital. https://ow.ly/y1rw50RPMpv #genAI #healthcaredata #healthcareinnovation

Healthcare organizations, no matter the size, need ways to maximize their resources to deliver high-quality care to their patients. Fortunately, generative AI and other technologies can provide that support. The series Unlocking Big Data, presented by HIMSS and moderated by Dr. Indu Subaiya, explores the importance of delivering trusted data to healthcare decision-makers. This article covers insights from Episode 4 of the series, which features industry leaders Jake Hochberg, VP of Analytics and Chief Analytics Officer at Arcadia and Luis M. Ahumada, Director of Health Data Science and Analytics at Johns Hopkins All Children’s Hospital. https://ow.ly/NRnC50RQObe #genAI #healthcaredata #healthcareinnovation