Waymark’s Post

The healthcare industry must prioritize the development and implementation of universal tools that can efficiently navigate, interpret, and derive value from the growing wealth of health data. 

Dexter: Methodology    A new study assisted by Dexter has been published, focusing on the ability to perform automated incidence and prevalence analysis using electronic health records. This methodology applies to open cohorts (cohorts in which patients can enter and exit throughout the study period), allowing for rapid accurate research in public health and Real-World Evidence.     https://lnkd.in/e_UiTmFv 

Check out our most recent journal article, "The Iowa Health Data Resource (IHDR): an innovative framework for transforming the clinical health data ecosystem." The IHDR is a strategic investment made by the University of Iowa to improve access to real-world health data. Click the link below to read more  🔗https://lnkd.in/gVy7bcDi

Interested in how to validate that clinical AI algorithms perform well and equitably? And to do so at scale? And for free? Then join my colleagues Elliott & Shivaani today to learn more about what we've learned from a year of providing free algorithm validation services.

Automating incidence and prevalence analysis in open cohorts https://lnkd.in/e_UiTmFv Data is increasingly used for improvement and research in public health, especially administrative data such as that collected in electronic health records. Patients enter and exit these typically open-cohort ...

Pyxis Partners applauds the Reagan-Udall Foundation for the FDA for their leadership in the development and release of the RAISE Action Framework. This Framework, which aims to improve the standard of collection and curation of race and ethnicity data in healthcare, will serve as a vital resource for improving care and addressing health equity gaps. Pyxis Partners supports its key components, including: incentivizing race and ethnicity data collection, standardizing data collection methods, aggregating data collected locally, and training the healthcare workforce on best practices in collecting race and ethnicity data from patients and research study participants. Soliciting community input was central to collecting real-world applications included in this Framework. Last spring, Pyxis Partners Principal, Ronnie Tepp, shared a case study detailing our work with a community partner to add a new race/ethnicity category to a participant survey for The National Institutes of Health's All of Us Research Program. We are passionate about working in partnership with communities to build trust in #healthresearch and advance #healthequity in the United States. We're #PyxisProud to continue to work alongside the Reagan-Udall Foundation and support the utilization of the RAISE Action Framework as we both strive towards improved #diversityandinclusion in healthcare data collection. https://lnkd.in/eDRfCr_7

New OSPCORTF special Issue of Medical Care. Abstracts are invited on health equity data and research findings that advance the understanding of health equity in patient-centered outcomes research. Due July 1. See https://lnkd.in/eg8V6zfk

The heartbreaking news about Relyvrio is another reminder of the challenges we face in treating ALS. Better outcome measures could improve the confidence in assessing clinical efficacy of potential thareputics. Join us to discussed the latest in patient-centric outcomes powered by wearable DHTs.

Predictive analytics in healthcare is transforming how we manage chronic conditions like heart disease, kidney disease, and diabetes. A recent study from Karolinska Institutet highlights the power of predictive analytics to enhance decision-making and improve patient outcomes. 📊 At Danderyd University Hospital's HND center, interdisciplinary teams are leveraging large datasets to stabilize disease progression and reduce hospital visits. However, the study emphasizes the importance of involving healthcare professionals in designing these technologies to ensure they meet real-world needs. Key insights include: ➡ Predictive analytics can reduce hospital readmissions by providing accurate risk calculations. ➡ Simple, user-friendly interfaces are crucial for adoption. ➡ Understanding and interpreting algorithms is essential for healthcare staff. The potential is immense, but success depends on collaborative efforts between healthcare professionals and IT developers. The future of healthcare is here, and it's driven by data! 🚀 How can we further integrate predictive analytics in daily practice? Share your thoughts! 💡 See link to original article in the comments below 👇 #PredictiveAnalytics #HealthcareInnovation #ChronicCare 👉 Follow xCures Read our LinkedIn Newsletter: https://lnkd.in/dnNJV2ti https://xcures.com/ 👀

The HEAL Data Stewardship Group is excited to share the next webinar in our series. Please join us on March 21 from 1:00-2:00 p.m. Eastern Time for FAIR-ly Sharing HEAL Data: Maximizing the Power of Publication. Webinar Description: FAIR research publication advances reproducibility and data reuse for collaborative discovery and innovation, which is critical for the NIH HEAL Initiative®’s goal to urgently stem the national pain and opioid use disorder public health crises. In this month’s Fresh FAIR webinar, HEAL Data Ecosystem Program Officer Anthony Juehne will emphasize the importance of FAIR research publication in HEAL, along with best practices and examples of how to package data associated with a publication. The webinar will then feature lightning talks from Drs. Bruce Taylor, Songthip Ounpraseuth, and Shamsuddin “Shams” Bhuiyan highlighting their experiences maximizing the impact of their publications by sharing data. Participants will also learn about relevant resources available to HEAL investigators. The webinar will conclude with a live Question and Answer session featuring presenters, as well as Dr. Brian Smith. REGISTER HERE: https://lnkd.in/d6iRqrK4 #nihHEALinitiative #NIH #HEALInitiative #FAIRdata #datascience #healthsciences #webinar #data #publication