Data Reframed [formerly LA Tech4Good]’s Post

Did you know women spend 25% more of their lives in poor health compared to men? Disparities in #healthcare access and research lead to suboptimal outcomes. Closing this gap could boost the global economy by $1 Trillion annually by 2040. On tomorrow💡That's why we'll be diving into the future of women's health at #HIMSS24 Europe! 🌐 Anne Moen, Gravitate-Health Coordinator, and Catherine E Chronaki, FHL7, FIAHSI Interoperability Lead, will discuss: 📣The promise and controversy of #AI in healthcare ⚕️Risks of bias and #health inequalities 👥Gender as a #socialdeterminant of #health https://lnkd.in/eivs5JC3 #HIMSS24 #AI #WomensHealth #DigitalHealth #HealthcareInnovation #GravitateHealth #HealthEquity

AI can be essential to population health management

What is the state of ethnicity data in existing healthcare datasets? And how does that affect public health strategies? AI-based healthcare technology depends on the data that is given, and a lack of representative data can lead to biased models that will produce inaccurate health assessments and research outcomes. There are challenges of maintaining consistency and completeness in ethnicity data, with discrepancies noted between different health databases and census records. These issues highlight the need for standardized approaches and continuous updates to data collection practices to ensure accuracy and representativeness. Rapid advances in AI might help with the creation of a huge range of new healthcare tools, but to ensure that these tools do not exacerbate pre-existing health inequities, researchers are urged to use more representative data in their development. This serves as a call to action for others to consider similar approaches to data management and utilization in healthcare research. https://lnkd.in/e4JpH2r6

World Health Organization reports reveal that your socio-economic status can determine your health outcomes. Health is tied to wealth. This reality highlights the glaring disparities in our healthcare systems. 📌 In the United States, the wealthiest 1% live 10-15 years longer than the poorest 1%. This isn’t just a statistic; it’s a call to action. 📌 Ethnic minorities like the Hmong and Dao face an infant mortality rate 3x higher than the majority. These children deserve better. 📌 In South Africa, Black citizens face more healthcare barriers and receive lower quality care compared to White citizens. This disparity must end. At BitDoctor.ai, we’re leveraging AI and DePIN technology to bridge these gaps and ensure equitable healthcare for all. Everyone deserves quality healthcare, no matter their socio-economic status. 👉 Join us on this journey to transform health access and make a lasting impact. Together, we can create a healthier, more equitable world. #BitDoctor #AI #DePIN #HealthTech #FreeDiagnosis #HealthEquity

This study shows that the use of a demographic approach, including the period perspective, may improve the evaluation of the healthcare requirements of #livertransplantation programs. #OpenAccess #TXPforAll #Transplant tinyurl.com/5n8tsn49

https://lnkd.in/g2kTY3zy The study of population health for identifying and understanding larger populations as well as at-risk sub-populations involves huge amounts of data. This means that AI plays an increasingly important role, argues Dr Jennifer Dunphy, senior VP for a top US physician association. #artificialintelligence #ai #health #healthcare #population

Royal Society for Public Health examines factors affecting the public health workforce including the ageing workforce and role of technology AI in its recent briefings: - Public Health 2040: How technology and AI is reshaping the wider public health workforce » https://buff.ly/4fwxbp1 - How are ageing demographics impacting the wider public health workforce? » https://buff.ly/40wTyGv #publichealth #AI #Ageing

🖥️ Join us for the launch of the "Women in Health Data" meetup and connect with a community of passionate data professionals in health & care, with guest speakers, insights and more! To register, follow the link in the comments or get in touch. #WomenInHealthDataNetwork #DiversityInData AphA Analysts Cambridge Spark

#Statcompiler# Dear Demographic and Health Survey (DHS) users, One of the best ways to verify any estimate you make on DHS indicators is to check the results available on the DHS statcompiler. For instance, if you estimate under-5 mortality using the DHS dataset for a particular country and get 25%, a check on statcompiler for the same indicator should give you the same 25% or something very close if the sample sizes are the same. If you are new to DHS, please visit this online tool: https://lnkd.in/gEHtYbQw Kindly watch our Youtube video on this tool: https://lnkd.in/geFVpp5Y Abdul-Aziz Seidu, PhD REMS Consultancy Services The Demographic and Health Surveys (DHS) Program ICF USAID

Our survey with City, University of London shows a major shift in health reporting – patients are no longer interviewed as case studies, but as experts. At our #ExpertWomen24 event, we explored how people with lived experience, especially women, are shaping the health conversation. Learn more: https://lnkd.in/eQmywVCd #PatientVoice #LivedExperience #Media #WomenInMedia #PatientAdvocacy