Abby Townsend’s Post

🖥️ 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

International Women's Day ➡ The nurse behind life saving infographics Today is not only a call to action for acceleration of gender partity, but also a day to celebrate achievements of women. Have you heard about Florence Nightingale and her impact on the field of data?   She worked as a nurse and played a tremendous role in preventing unnecessary deaths among soldiers in hospitals.   How did she do that? Data analysis and data visualization 📊   One of my key take aways of her story? Convey data in exciting ways!   You can read more about Florence Nightingale in the article.   #data #womenindata #datavisualisation #internationalwomensday #analytics

Data quality is a crucial aspect of providing equitable outcomes for patients. Many organizations are unaware of the degree to which patients are excluded or not provided the same quality of care, and that lack of information contributes significantly to an organization's ability to provide care. If we aren't measuring where the lapses in care actually are, it is nearly impossible to make the needed corrections and make a real difference for patients. #HealthEquity #PatientOutcomes #Data

1,000,000,000,000 That's the potential boost to the global economy by 2040 if we close the women's health gap. Many assume that the women’s health gap primarily manifests later in life. It’s also often connected to women’s living longer on average. But… We've found that majority of the gap appears during women's prime working years.👩💻 Over half the women in tech leave the industry by the midpoint of their careers** More than double the rate of men** Not addressing this could have huge economic implications. Because if women were healthier, they could be more productive.🤗 Female biology is different from male biology—beyond the reproductive system. Some diseases manifest differently in women than in men. Raising more awareness and addressing those differences in healthcare can result in better health and economic outcomes.❤️ *McKinsey & Company | Lucy Perez: Improving women’s health could improve the world’s economy ➡️https://lnkd.in/eH3Bv8-s   **See our post on this topic ➡️https://lnkd.in/eJkF7V-J

👋 I'm sharing with you all insights from the #EndGenderBias Survey Results Summary Report, shedding light on crucial aspects of gender bias in healthcare. https://lnkd.in/gvMw4jka Over the last few weeks, I have been seeing more and more articles and studies about women’s health, how women are disproportionately affected by barriers in the current healthcare system and the lack of knowledge we have on how health issues both present themselves and are treated in women. This March the National Women’s Health Advisory Council conducted a survey aiming to understand the experiences of Australian women in navigating the healthcare system. The findings are not just eye-opening but also serve as a call to action for systemic change. Here are some of the key drivers of inequity in healthcare:  👩⚕️ Interpersonal experiences, high rates of being dismissed and disbelieved by healthcare providers 🚺 Structural barriers, affecting the accessibility and affordability of health care. 🔍 The evidence base underpinning health care and medical innovation - research has been conducted on predominantly male groups, and female groups often present and respond to treatments differently. This gap not only perpetuates bias but also hampers advancements in healthcare innovation. 💡Intersectional experiences of gender bias - related to other aspects such as age and rurality bear more of this burden. 🌐 As a result of each layer of gender bias, gender bias in health care has far-reaching impacts on women’s lives. Additionally, the study includes expert stakeholders (medical professionals) who expressed concerns about women's access to safe and choice-driven healthcare, with many perceiving inadequate access and choice for women. So, what's the next step?  Let's amplify these findings, spark meaningful discussions, and work together towards a future where gender bias in healthcare is no longer a barrier to women's well-being. Together, we can make a difference! 💪 #HealthEquity #WomenInHealthcare #GenderBias #HealthcareReform

I was excited to see this recently released report from the Center for Law and Social Policy (CLASP) illuminating the crucial role of comprehensive and rigorous race and ethnicity data in the pursuit of health equity. "Combatting entrenched health disparities demands a concerted, cross-sectoral approach involving healthcare providers, insurers, researchers, community organizations, advocacy groups, and policymakers. This collective endeavor hinges on the availability of robust, transparent data on race and ethnicity to establish a common foundation for understanding and assessing interventions aimed at promoting health equity. Encouraging stakeholders to embed principles of data equity into their practices, CLASP and the Data Equity Coalition advocate for enhanced data standards across governmental and healthcare spheres." At its core, data serves as the linchpin for comprehending the scope and nuances of health inequalities. I've seen a lot of movement by health systems and public agencies toward collecting more meaningful race and ethnicity data, but we still have a long way to go. #healthequity #dataequity https://lnkd.in/g82f-BGf]

What is REAL Data and Why Do We Collect it?:    From the C-suite to frontline staff, this 12-minute MIH course was designed to benefit your entire organization.     When everyone understands the value of collecting race, ethnicity, and language (REAL) data, everyone wins—especially your patients.    Learn more here: https://lnkd.in/g5tCTT5J  _____ #MoreInclusiveHeathcare #InclusiveSolutions #HealthEquity #DataCollection #InclusiveHealthcare #HealthIt #PopulationHealth #CommunityHealth #HealthEquityNow #EdTech Lisa Sloane

Data for good: Are women underrepresented in clinical trials? Are there specific health conditions that affect women more ? Can data and AI  be leveraged to derive insights into understanding these health inequalities better? How does the NHS England address this in terms of obtaining high quality data to derive insights? These are some of the questions we will be addressing as part of a panel focused on women's health inequalities during the Women in Data® Flagship event on Mar 7th in London. The panel will feature Natalie Cramp Jennifer Visser-Rogers Mridula Sori Camellia Williamson, Harini Gopalakrishnan and Janet Broome. I am excited to be moderating this discussion with women from diverse perspectives who work with health data everyday. If you are at the event please  join us  16:30 pm in the Arcadia Room for an insightful evening! You will have an email from the Women in data team with the app link to sign up for breakout sessions. You can also join the event waitlist in the link below: https://lnkd.in/dVxdjB7K Thanks to Amie Bakker and Roisin McCarthy for the wonderful event and  their support in providing a platform for this meaningful discussion. Let's talk about using data for real change!#WomenInData #HealthEquality #snowflake #dataforgood  #healthcareanalytics  #healthinequalities

🎉 Celebrating Women's Day: Florence Nightingale's Data Revolution 🎉 Florence Nightingale, the "Lady with the Lamp," didn't just revolutionize nursing during the Crimean War. She also transformed the way we visualize data, igniting a data revolution that continues to shape the world today. ⚡️The Problem: During the Crimean War, countless soldiers died from preventable diseases due to poor sanitation. ⚡️Nightingale's Solution: - Data & Storytelling: Recognizing limitations of text-based reports, Nightingale used data visualization to showcase the devastating impact of unsanitary conditions. - Engaging Charts: She created innovative charts, like the now-famous "coxcomb" diagram, to make data accessible and highlight the urgency of reform. ⚡️The Impact: Nightingale's data visualizations not only secured Queen Victoria's support but also influenced public opinion and policy changes, leading to improved sanitation and a dramatic decline in soldier mortality. Her work laid the groundwork for modern data visualization, paving the way for women in data science and storytelling. Nightingale's legacy is a reminder of the power of data visualization in solving complex problems and the vital role women play in STEM fields. #womensday2024 #womenindata #DataScience #WomenInSTEM

IDPLN Presentation Highlight! Todd Abraham, I2D2's Assistant Director of Data and Analytics, shared insights from analytics on the impacts and opportunities to support maternal health surrounding birthing unit closures in Iowa. This work sheds light on the critical implications of these closures for maternal and child health, while identifying data-driven strategies to address the challenges. Together, we’re exploring opportunities to enhance healthcare access using data.📊✨ #DataDriven #HealthEquity #DataSharing To learn more about the International Data Population Linkage Network, visit https://ipdln.org/