PublicSphereTech’s Post

Following on from my recent presentation at the Gold Coast Hospital and Health Service, I am excited to share that the pre-print of our latest article is now available online. #GenerativeAI has huge potential to assist in analysis of big healthcare datasets, leading to massive time and cost savings. The findings of this study have allowed me to save over 200 hours of manual data processing, with an estimated cost saving of over $11,000AUD. Link to article: https://bit.ly/4gHDnMr

🔬 Exciting New Health Science Paper Alert! 📊 "The Role of Big Data Analytics in Healthcare Transformation" is a groundbreaking research work shedding light on the transformative power of big data analytics in healthcare. 🔍 Key findings of the paper include: - Improved patient outcomes through data-driven personalized medicine - Enhanced operational efficiencies in healthcare institutions - Early identification and prevention of disease outbreaks At Yoosana, we stay at the forefront of the latest research findings and leverage this cutting-edge information to provide top-notch consulting services to our clients. #HealthScience #BigDataAnalytics #HealthcareTransformation #Yoosana

Ever wondered the benefits and importance of data analytics in the health care sector? Data analytics is transforming healthcare by enabling early disease detection, personalizing patient care, enhancing operational efficiency, improving patient outcomes, and advancing medical research. How else do you see data analytics shaping the future of healthcare?

Today's Digital Health: On Air episode brings you a can't-miss conversation on real patient behaviors, straight from the data (over 700M data points). Discover how to align your patient access, communication, and readiness approaches with patient expectations. Tune in here: https://hubs.li/Q02tQr0_0

#Throwback The [algorithmic] predictive power of models could be improved by creating interoperable multi-source data sets …+the insights from predictive models of healthcare demand could be used to inform network-level health system resourcing decisions.”👇 https://lnkd.in/e5E3KfMN

Join us for a webinar with Healthcare Innovation on April 30 and hear key findings from the "State of the Market Report: New Challenges in Health Data Management." Register now.

The power of data can transform healthcare, but deciphering thousands of datasets and numerous data feeds is no small task. The PA team behind the ACEP’s Emergency Medicine Data Institute (EMDI) welcomed this challenge, creating a data platform that scales quickly and effectively. https://bit.ly/3U22CiN #HealthcareInnovation #DataManagement

Transforming patient care data into actionable insights is a critical aspect of modern healthcare. To better understand a patient's journey, healthcare providers are now visualizing longitudinal narratives through patient timelines. But when it comes to analysis, a patient feature matrix is essential. This tabular representation serves as the bedrock for all subsequent analytical endeavors. The process of converting diverse healthcare data into this matrix is intricate and guided by knowledge graphs and repositories of biomedical wisdom. To embark on this journey, we must first anchor ourselves with the most important thing - and that is a pertinent research question' that guides our exploration of the healthcare system's structure and understanding the genesis of this patient data. #HealthcareAnalytics #PatientCare #DataInsights

Meaningful change in healthcare starts with purpose-driven data. Anne Donovan shares how harnessing data effectively can impact value-based care in 2025 with Health IT Answers: https://ow.ly/vCkC50UrP9s

1. By 2020, it was estimated that globally the healthcare sector would generate 2.3 zettabytes of data – that’s 2,300,000,000,000,000,000,000 bytes. Equivalent to 2.3 trillion DVDs of data. 2.Despite the exponential growth in health data, a staggering 97% of it goes unused, i.e we use ONLY 3% of the healthcare data. 3.There is an urgent need to transform vast amounts of unstructured information into clinically actionable insights, and ultimately improving the flow of data to supporting optimal care and interventions beyond clinic walls.