Ryan Sousa’s Post

Great discussion of how federated data sharing and a unified ecosystem for healthcare research can lead to rapid advances. Recommend this if you want to see advances in patient care and treatments for the toughest diseases. #AYDIJ #datainnovation #healthcareanaltyics #researchanalytics #pivotpointconsulting

🚀 Exciting Times in Translational Medicine: Overcoming Data Challenges with a Federated Database 🌐 As Translational Medicine Leaders, we navigate a landscape where data complexities can hinder progress and innovation. Here's how a comprehensive Federated Database can revolutionize our workflows and propel us into a new era of healthcare excellence: 🔍 **Data Fragmentation:** Combining clinical and multi-omic data from disparate sources can be a Herculean task, leading to inefficiencies and potential inaccuracies in analysis. A Federated Database consolidates over 250M patient records globally, streamlining data access and ensuring comprehensive insights. 💻 **Data Integration:** Bringing together diverse data types such as WES, WGS, RNA-seq, SNP, and other omics data is crucial for holistic patient understanding. With a Federated Database, we can seamlessly integrate these datasets, enabling in-depth analyses and cross-disciplinary collaborations. ⚖️ **Data Privacy and Security:** Protecting patient information while facilitating data sharing is a delicate balance in translational research. A Federated Database implements robust privacy protocols and encryption measures to safeguard sensitive data, fostering trust among stakeholders and compliance with regulatory standards. 🚄 **Accelerated Research:** With a vast repository of genomic and clinical data at our fingertips, Translational Medicine Leaders can expedite research timelines and make data-driven decisions with confidence. The scalability and speed of a Federated Database empower us to extract actionable insights efficiently. 🔬 **Enhanced Collaboration:** Collaboration lies at the heart of translational research success, yet siloed data can impede meaningful partnerships. By leveraging a global network of data within a Federated Database, we can break down barriers and foster cross-border collaborations that drive impactful discoveries. 💡 **Innovative Discoveries:** The wealth of data available within a Federated Database opens doors to novel discoveries and personalized treatment strategies. By harnessing the power of comprehensive genomic and multi-omic data, Translational Medicine Leaders can pioneer breakthroughs that transform patient care on a global scale. Let's embrace the opportunities that a Federated Database presents in our quest to revolutionize translational medicine. Together, we can unlock the full potential of data-driven healthcare and shape a future where precision medicine becomes a reality.🚀🔬💡 #TranslationalMedicine #DataInnovation #PrecisionHealthcare

Making Trust So Strong It Goes Unnoticed Dr. Alex Jadad, MD DPhil LLD FCAHS, Founder, Centre for Digital Therapeutics; Research Professor (Adjunct), Keck Medical School, University of Southern California; Principal, Vivenxia Healthcare This session will examine the essential—yet often overlooked role—of trust in harnessing emerging technologies for patient engagement. Recognizing a sharp decline in trust at all levels, participants will learn about the meaning of trust, the types of trust and its determinants, and the latest data on how much healthcare professionals, academics, corporate leaders, and government agencies are trusted. Participants will also gain insights from large-scale efforts to reconstruct and fortify trust successfully and to align the incentives and actions of healthcare providers, patients, academia, corporations, and the government to achieve groundbreaking outcomes. At the end of the session, participants will be emboldened to imagine, design, develop, implement and scale up audacious solutions that harness the power of trust as the bedrock for advancing patient-centric healthcare in the era of AI. VIDEO: https://lnkd.in/eGVkYUpA PDF: https://lnkd.in/erzJ7r3w Presented at THE FUTURE OF PATIENT ENGAGEMENT: INSIGHTS, INNOVATIONS, AND IMPLEMENTATIONS BUILDING A MORE ENGAGED & EMPOWERED HEALTHCARE SYSTEM DCI Network Conference June 27, 2024 Location: Harvard University Loeb House, Harvard Faculty Club see details of the conference https://lnkd.in/e6brarim Save the date for our conference next year, June 25-27, 2025 https://lnkd.in/exg8yBD5

Next week, R.grid CEO Amber Michelle H. will join our partners EmVenio Research for a webinar by PCM TRIALS - Quality Mobile Research exploring how mobile visits, community sites, and AI are increasing community engagement and overall trial efficiency. Dr. Hill will be speaking about the role of AI in broadening diverse community engagement, accessible patient recruitment and retention, and automating the back office tasks involved in the success of these activities in clinical trials. Learning Objectives: 💡 Understand the importance of diversity in clinical trials and its influence on research outcomes. 💡Examine the challenges traditional clinical models face in recruiting and retaining diverse participant populations. 💡Discover the benefits of mobile visits and community-based sites, supported by new data highlighting their positive impact on accessibility and inclusivity in clinical trials. 💡 Identify strategies for the effective implementation of mobile visits and community-based sites. 💡 Explore how AI and technology can boost community engagement and broaden patient recruitment and retention in clinical trials. Speakers: 🗣 Michelle Mallitz, MD, Principle Investigator at EmVenio Research 🗣 Amber Michelle H., CEO at R.grid 🗣 Ellen Weiss, Strategy Decentralized Trials at PCM TRIALS - Quality Mobile Research 🗣 Tajuana Barron, VP Project Management at PCM Trials Tune in to the webinar to learn more about the ways R.grid is making clinical trials faster and more successful. 🌐 Webinar: Access for All: How Mobile Visits, Community Sites, and AI Support Diversity Goals in Clinical Trials 🗓 Date: 11th June 🕐 Time: 4 pm GMT / 12 pm EDT 📍 Register for free here: https://lnkd.in/gthmQRJ2 #HealthcareInnovation #AIinHealthcare #PatientEngagement #DiversityInResearch

I attended the CRUK Early Diagnosis conference, and it really got me thinking. Many discussions, like the one about AI in teledermatology care pathways, highlighted that we often don't know exactly where in a pathway technology fits best to support patients and clinicians. This work starts by talking to patients and clinicians. It's also crucial to evaluate the feasibility and (potential) real-world impact of technology both before and during its introduction into clinical practice. We need to think about how these new tests and technologies can be used across all hospitals and clinics, not just the ones that specialise in research. After all, what's the point in developing a cutting-edge test if it can only be used in a few places? Infrastructure challenges remain common in the UK, and it is important that we acknowledge this so we can work towards a solution. Reflecting on my own career, I see a parallel journey with the evolution of healthcare research. I started off working on ways to improve medical imaging through biomarker development, then moved to translational clinical research ("from bench to bedside"). Now, my focus is on how we can better implement these new technologies ('implementation science'), how we can get patients and the public more involved, and how we can meaningfully introduce AI in healthcare. Leaving the conference, I'm both excited by the vast amount of knowledge still to be explored and encouraged by the many dedicated professionals tackling similar challenges. There's a wealth of expertise out there, and I'm eager to continue learning and collaborating with this incredible community.   #CRUKEDConference24 #HealthInequalities #TranslationalResearch #ImplementationScience #PPI #AIinHealthcare

🌍 Quality data and faster insights in clinical trials – can this dream come true? 🌍 The world of clinical trials is united in its goal to deliver high-quality data efficiently. However, the demanding data capture process often burdens already overworked physicians and clinical staff. CliniNote is here to alleviate this challenge. See what you can change in your clinical trial process with us: ✅ Reduce the frequency of data queries and improve data accuracy, ✅ Automate administrative processes, saving significant time and effort, ✅ Enhance data completeness, particularly in patient-reported outcomes and key trial metrics Institutions such as the National Institute of Oncology (Narodowy Instytut Onkologii im. Marii Skłodowskiej-Curie - Państwowy Instytut Badawczy) and the Mother and Child Institute (Instytut Matki i Dziecka) are already leveraging CliniNote to streamline their clinical trial operations, allowing healthcare professionals to concentrate on advancing medical science and patient care. 📢 On December 5th in Warsaw, join us at MEDmeetsTECH for a panel discussion titled: "AI and Digital Transformation in Clinical Trial Projects – Opportunities and Challenges" Speakers include: – Robert Lugowski 🩺 📑(CliniNote) – Moderator – Dr Elżbieta Bylina (Agencja Badań Medycznych) – Daniel Jurkow (Comarch, Director of the Clinical Research Center) – Dr Aneta Sitarska-Haber (Polish Association for Good Clinical Practice) – Marlena Huskowska-Stróżek, MBA – Andrzej Kurek (DC Software) 💡 Explore how AI and technology are redefining the future of clinical trials, creating more effective, patient-focused solutions. 👉 Find out more and join us: MEDmeetsTECH #ClinicalTrials #DigitalHealth #CliniNote #AI #MedMeetsTech

Data is no longer just a series of numbers and statistics; it's becoming an important tool that empowers doctors, patients, and families in their daily lives. This transformation goes beyond mere technological progress; it is about fostering real change and creating a profound impact on our lives. 💫 👩⚕️👨⚕️ Join us at 𝐃𝐈𝐆𝐈𝐓𝐀𝐋 𝐇𝐄𝐀𝐋𝐓𝐇 𝐋𝐉𝐔𝐁𝐋𝐉𝐀𝐍𝐀 as we explore the journey of healthcare data and the cutting-edge world of predictive models and AI. Discover how these tools are revolutionizing patient care 🏥, navigating challenges in emergency rooms 🚨 and operating theaters 🩺, and enhancing decision-making in critical situations. 11:00 𝑻𝒉𝒆 𝒋𝒐𝒖𝒓𝒏𝒆𝒚 𝒐𝒇 𝒉𝒆𝒂𝒍𝒕𝒉𝒄𝒂𝒓𝒆 𝒅𝒂𝒕𝒂 𝒕𝒐𝒘𝒂𝒓𝒅𝒔 𝒍𝒊𝒇𝒆𝒍𝒐𝒏𝒈, 𝒑𝒆𝒓𝒔𝒐𝒏-𝒄𝒆𝒏𝒕𝒓𝒆𝒅 𝒄𝒂𝒓𝒆 Tomaz Gornik, Founder and CEO of Better, and Co-chair of openEHR International 11:20 𝑻𝒓𝒂𝒏𝒔𝒇𝒐𝒓𝒎𝒊𝒏𝒈 𝒄𝒍𝒊𝒏𝒊𝒄𝒂𝒍 𝒅𝒆𝒄𝒊𝒔𝒊𝒐𝒏-𝒎𝒂𝒌𝒊𝒏𝒈 𝒕𝒉𝒓𝒐𝒖𝒈𝒉 𝒑𝒆𝒓𝒔𝒐𝒏𝒂𝒍𝒊𝒔𝒆𝒅 𝑨𝑰 Jakob Pieber, Business Developer at Predicting Health GmbH 11:35 𝑹𝒆𝒅𝒖𝒄𝒊𝒏𝒈 𝒕𝒉𝒆 𝒅𝒊𝒔𝒕𝒂𝒏𝒄𝒆 𝒃𝒆𝒕𝒘𝒆𝒆𝒏 𝒔𝒄𝒊𝒆𝒏𝒕𝒊𝒇𝒊𝒄 𝒓𝒆𝒔𝒆𝒂𝒓𝒄𝒉 𝒂𝒏𝒅 𝒄𝒍𝒊𝒏𝒊𝒄𝒂𝒍 𝒑𝒓𝒂𝒄𝒕𝒊𝒄𝒆 𝒊𝒏 𝑬𝒎𝒆𝒓𝒈𝒆𝒏𝒄𝒚 𝑴𝒆𝒅𝒊𝒄𝒊𝒏𝒆 Dr. Gregor Prosen, dr. med., and mag. Maja Molan, UKC Maribor / University Medical Centre Maribor 11:50 𝑰𝒎𝒑𝒓𝒐𝒗𝒊𝒏𝒈 𝒄𝒂𝒏𝒄𝒆𝒓 𝒔𝒖𝒓𝒈𝒆𝒓𝒚 𝒐𝒖𝒕𝒄𝒐𝒎𝒆𝒔 𝒃𝒚 𝒃𝒓𝒊𝒏𝒈𝒊𝒏𝒈 𝑨𝑰 𝒊𝒏𝒕𝒐 𝒕𝒉𝒆 𝒐𝒑𝒆𝒓𝒂𝒕𝒊𝒏𝒈 𝒕𝒉𝒆𝒂𝒕𝒓𝒆 Samo Eržen, Senior research engineer at Arctur 12:05 𝑷𝒆𝒓𝒔𝒐𝒏𝒂𝒍 𝒔𝒕𝒐𝒓𝒚: 𝑼𝒔𝒊𝒏𝒈 𝒂 𝒅𝒂𝒕𝒂-𝒅𝒓𝒊𝒗𝒆𝒏 𝒂𝒑𝒑𝒓𝒐𝒂𝒄𝒉 𝒕𝒐 𝒕𝒓𝒆𝒂𝒕 𝒆𝒑𝒊𝒍𝒆𝒑𝒔𝒚 Goran Dumic, Principal consultant at Syntio DIHs_P4Medicine __________ 📅 Date: Tuesday, 6th February 2024 ⏰ Time: 9:00 - 15:30 🔗 Check the program and register here: https://lnkd.in/ddkcaKMw

Komodo Expands MapEnhance Offering w/ Specialty Datasets & Partners - HIT Consultant #KomodoExpandsMapEnhance - Komodo, a healthcare IT company, has expanded its MapEnhance offering with specialty datasets and partners to enhance healthcare analytics and decision-making. #SpecialtyDatasets - The addition of specialty datasets allows healthcare organizations to access more specific and detailed information for their analytics needs, leading to more accurate insights and better patient care. #Partnerships - Komodo has partnered with various organizations to provide access to a wider range of data sources, enabling healthcare IT professionals to make more informed decisions and improve outcomes. #EnhancedAnalytics - With the expanded MapEnhance offering, healthcare IT professionals can now leverage a broader range of data and tools to enhance their analytics capabilities and drive better outcomes for patients. #Improved ai.mediformatica.com #health #data #healthcare #clinical #partners #lifesciences #socialdeterminants #this #datasets #genomics #komodohealth #labresults #digitalhealth #healthit #healthtech #healthcaretechnology @MediFormatica (https://buff.ly/4ahi7bP)

Personalized Medicine Personalized medicine represents a paradigm shift in the healthcare industry, moving from a one-size-fits-all approach to a more tailored strategy that considers individual differences in patients' genes, environments, and lifestyles. This innovative approach aims to provide more precise, predictable, and effective healthcare treatments for individuals. At its core, personalized medicine leverages advancements in genomics, data analytics, and digital health technologies. By analyzing a patient's genetic profile, healthcare providers can predict susceptibility to certain diseases, customize treatment plans, and determine the most effective medications with the least side effects. This not only enhances patient outcomes but also significantly reduces the trial-and-error aspect of prescribing treatments. Moreover, personalized medicine holds the promise of preventative healthcare. By identifying genetic predispositions to conditions such as cancer, diabetes, or cardiovascular diseases, interventions can be implemented early to prevent or mitigate the development of these conditions. This proactive approach shifts the focus from treatment to prevention, potentially reducing healthcare costs and improving quality of life. The integration of big data and AI in personalized medicine further enhances its potential. Machine learning algorithms can analyze vast amounts of health data to uncover patterns and predict outcomes, enabling more informed clinical decisions. While the promise of personalized medicine is immense, challenges such as data privacy, high costs, and the need for widespread genomic literacy among healthcare providers remain. However, as technology advances and the cost of genomic sequencing decreases, personalized medicine is poised to become a cornerstone of modern healthcare. #PersonalizedMedicine #HealthcareInnovation #Genomics #AIinHealthcare #FutureOfMedicine #PatientCare #PrecisionMedicine #IconsEdgeBusinessLeadership #IconsEdgeExecutiveInsights  #IndustryLeaders #IconsEdgeCorporateVision #IconsEdgePerspectives #IconsEdgeBusinessMagazine #ExecutiveEdition #CEOInsights #IndustryMagazine #IconsEdgeLeadershipJournal  #ProfessionalGrowthJourney