How data can transform diagnostics in healthcare

When it comes to data collection, Tudor Health work smarter to solve the patient data problem. Many legacy data sources target individual HCPs achieving only limited success with response rates. These issues can be amplified when rare diseases, small cohorts and specialist centres are involved. We target institutions rather than individuals, creating a wider picture and covering more locations than traditional methods. The resulting patient-level longitudinal data gives you greater data granularity and allows for more advanced analytics and modelling. If you‘d like to know more about the difference this could make to your insights, please get in touch and we’d be happy to help. #healthcare #datascience #MarketEmulationModels

When it comes to data collection, Tudor Health work smarter to solve the patient data problem. Many legacy data sources target individual HCPs achieving only limited success with response rates. These issues can be amplified when rare diseases, small cohorts and specialist centres are involved. We target institutions rather than individuals, creating a wider picture and covering more locations than traditional methods. The resulting patient-level longitudinal data gives you greater data granularity and allows for more advanced analytics and modelling. If you‘d like to know more about the difference this could make to your insights, please get in touch and we’d be happy to help. #healthcare #datascience #MarketEmulationModels

When your data, from multiple sources, is freed up to utilize in reporting, analytics, performance management, process improvement, or any other positive process, it makes all the effort in gathering the data worth the effort.

Digital tools are becoming vital in healthcare to support patients, clinical decision-making, efficiency, pathway and population health analysis, to name but a few. Please can we focus on the use cases that really help people? That means not imagining that technology replaces the human aspects of care.

Our research on predicting diabetes in women has been published in Healthcare Analytics (Elsevier). (Q1, Impact Factor: 9.53) DOI: https://lnkd.in/g7sHTtjh This work proposes a sophisticated, yet lightweight, explainable analytics framework for diabetes prediction in women, achieving an accuracy of 99.35% on the Bangladeshi and German patient datasets. Beyond the numbers, it highlights the importance of demographic diversity in building culturally aware and effective healthcare models. A huge thank you to my amazing co-authors, Tapu Biswas, Sharia Arfin Tanim, and Dr. M.F. Mridha! The full Open Access article is available here: https://lnkd.in/gwFtNARJ

🔍 Predictive analytics in healthcare can forecast patient outcomes and improve care strategies. It’s exciting to see how AI combined with EHR data is transforming population health — helping providers identify risks earlier, personalize care, and allocate resources more effectively. From predicting readmissions to optimizing treatment plans, data-driven insights are shaping the future of proactive healthcare delivery. The potential is huge — and we’re just getting started. 🚀 #PredictiveAnalytics #PopulationHealth #HealthcareInnovation #AIinHealthcare #DigitalHealth

Evelyn Mensah on point about BME aggregation and the need to present WRES Data in this way. On point as always….. Disaggregated data means data that has been broken down into smaller, more specific subcategories rather than being presented as a single overall figure. It allows you to see differences and patterns within groups that might be hidden in aggregated (combined) data. #RHORoadshows NHS Race & Health Observatory

Did you know, data-driven decision-making is essential in today’s evolving primary care landscape? Over the coming weeks, we will be sharing some fast facts about Primary Sense and how it’s helping general practice deliver safer, smarter, and more proactive care. 🔍 What is Primary Sense? Primary Sense is a secure, locally hosted data tool that transforms de-identified patient data into real-time insights. It supports: 🩺 proactive patient care 🩺 chronic disease management 🩺 quality improvement activities 🩺 population health planning. It’s backed by Primary Health Networks and the Australian Government and integrates seamlessly with your clinical software. 👉 Learn more at https://lnkd.in/gH5Nfj-n #PrimarySense #PrimaryCareInnovation #DataDrivenHealthcare

When health systems listen to people, they build trust, accountability, and resilience. The recent Scaling Patient Voices webinar explored how digitally collected, user-reported health data can strengthen health systems and center patient voices in decision-making: ✔️ Inclusive and accessible data collection is essential, as literacy, confidentiality, and connectivity all affect participation and data quality. ✔️ Community health workers (CHWs) help bridge the digital divide by reaching users who might otherwise be excluded, while ensuring data remains confidential and unbiased. ✔️ User-reported health data should be integrated with clinical and facility indicators to triangulate insights and ensure that user voices are reflected in decisions. ✔️ Government engagement from the outset is key to scaling digital data systems and putting strong data quality measures in place. ✔️ The emerging Community of Practice (CoP) will advance the digital collection, analysis, and use of user-reported health data to create more responsive, people-centered health systems in low- and middle-income countries. 📘 Explore our latest tech brief: https://bit.ly/472ta94 #DigitalHealth #GlobalHealthEquity #DataToAction #HealthForAll

Mobile labs are not just vehicles; they are engines of equity. From proactive wellness screenings to real-time population health modeling, mobile precision medicine links diagnostics, data, and community engagement in one seamless system. Our latest blog connects the dots between access, research diversity, and improved outcomes. Discover how mobile labs power equitable precision health: https://buff.ly/1gQ2jah. For more actionable genomics insights, subscribe to our newsletter and stay ahead of the curve: https://buff.ly/pDcSU4k. We ARE Precision Medicine #MobilePrecisionMedicine #HealthInnovation #EquityInHealthcare #PopulationHealth #PointOfCareDiagnostics #DataDrivenCare