We are thrilled to announce a new partnership with Google Research taking infectious disease modeling to the next level! Health systems around the world, especially in low-resource settings, are under pressure. Efficient use of health resources has never been more important. Every data-driven insight helps governments predict and plan, respond faster to outbreaks, and ultimately save lives. This collaboration will help: - Enhance predictions of disease spread - Improve estimates of HIV and other infectious diseases - Enable smarter, faster decisions for pandemic readiness We're proud to be working on this frontier research and honored to be supported by Google.org in pushing the boundaries of what is possible in global health. #GlobalHealth #AIforGood #HealthSystems #InfectiousDisease #PublicHealth #DataScience #GoogleResearch #CooperSmith https://lnkd.in/gKdQcTVt
Cooper/Smith
国际贸易与发展
Washington,District of Columbia 854 位关注者
We use hard data to improve the efficiency & effectiveness of development programs worldwide.
关于我们
Cooper/Smith is a technical assistance firm focused on promoting the use of hard data to improve global health and development programs. We specialize in making sense of complex and disparate information to assist governments, funders, and implementers make more-informed, data-driven decisions and measure their effect.
- 网站
-
https://www.coopersmith.org
Cooper/Smith的外部链接
- 所属行业
- 国际贸易与发展
- 规模
- 11-50 人
- 总部
- Washington,District of Columbia
- 类型
- 私人持股
- 创立
- 2015
- 领域
- Data Metrics Usage、Clinical Research、Policy Analysis、Economic Modeling、Program Evaluation、Diplomatic Policy、Mobile Applications、Systems Integration、Data Science、Global Development和Global Health
地点
-
主要
4005 Wisconsin Ave NW Washington
PO Box 9580
US,District of Columbia,Washington,20016
Cooper/Smith员工
-
Temidayo Akenroye, PhD
Supply Chain Professor; Scope 3 Decarbonization Expert; Agenda Contributor@World Economic Forum; Fellow of the Higher Education Academy (FHEA)
-
Tyler Smith
Co-Founder and Chief Technical Officer at Cooper/Smith
-
Michael Moszczynski
Chief Data Scientist at Cooper/Smith
-
Patricia Munthali Khomani
Country Liaison at Cooper/Smith
动态
-
Tyler Smith and Rachel Haggard went to this year's #GDHF. In addition to connecting with friends and long-time colleagues, they came away with these top three takeaways: Take home # 1: Infrastructure - Until we fix the plumbing, AI is a pipe dream Tyler had the opportunity to give a talk on path-to-scale for AI in LMICs.?Spoiler alert, there currently isn’t one. Check out the details from his presentation in the link below. Take home #2:?Global guidelines are a key way forward to handle the rapid development and deployment of AI models in LMICs. Take home #3: There is a strong need to consider local context and languages when developing AI models. Shoutout to Marelize Gorgens Prestidge who highlighted that a systematic review of AI solutions in healthcare which found that adapting these solutions to tribal languages, which often have more tokens than English, is more expensive. This cost disparity limits uptake in non-English-speaking countries. We need to do better and we need to take these costs into account upfront in budgeting for AI implementation. https://lnkd.in/g7pe9SbA
-
Congratulations to our CEO Hannah Cooper Klein for her nomination to Vice-Chair of the Global Health Council Board. We're thrilled to be a part of this growing community of global health organizations. Congratulations also to Amy Boldosser-Boesch for her role as Board Chair!
This week, I passed the proverbial (and literal!) baton as I step down from my role on the Global Health Council board of directors. I've had the pleasure of serving on this board for eight years, and the honor of chairing it for the past five. GHC has grown by leaps and bounds over my tenure on the board, first under the inspiring Loyce Pace, MPH, and now the phenomenal Elisha Dunn-Georgiou. I have had a front-row seat for this journey, and am convinced that now, more than ever, its mission is vital -- to harness the power of collective voice to improve #globalhealth and #wellbeing through informed investments and policies. Thank you to my fellow GHC board members and GHC team, past and present, for your unwavering commitment to GHC's mission and work. I'll continue to be your biggest fan. Amy Boldosser-Boesch, Duha Ali, John Ariale, Byron Austin, Vickie Barrow-Klein, Richard Dzikunu, Amanuel Moges Haile, Laura Herman, Hannah Cooper Klein, Kevin Lamb, Margaret M., Algene S., Adrienne Q. Neil Vora, MD
-
-
Grateful for Wayan Vota’s repost of ways we at Cooper/Smith think #GenAI will revolutionize healthcare in low-and-middle income countries. Looking forward to sharing more updates on our work in this space in the next couple of weeks!
Strategic Digital Transformation Director | Expert in Digital Product Management and Generative AI | Driving Profitable Growth and Customer Value | Leading Cross-Functional Teams to Success
#AI will leapfrog existing #DigitalHealth efforts and add capacity to countries with a dearth of public health workers. #GenAI can fulfill key healthcare worker functions using #chatbots and calls to basic mobile phones — making health services available to almost everyone. Here are seven examples of how #AI4Good will change healthcare in low- and middle-income countries from Hannah Cooper Klein and Dylan Green of Cooper/Smith. https://lnkd.in/eMgNQKjS Uses to think about at #GDHF for Eric Okimoto Pranav Savanur Ajay Trakroo Anjora Sarangi Efison Dhodho Shakira Irfaan Dayo Akinleye Tom Oluoch, PhD Munyaradzi N Madziwa Fana A. Abay Alfred Yeboah Ameera Hamid Saldulker Suruchi Gupta Chiagozie Abiakam Erin K. Ryan Gitau Aly Beeman, MPH
-
Cooper/Smith转发了
Said it before and I'll say it again, #Malawi is leading the pack on #digitaltransformation in #Africa. All the building blocks are there and it's the place where new tech and data can shine...it just requires vision and *meaningful* cooperation between external funders. https://lnkd.in/d9kTXkJH
-
-
So proud of our team and the results coming out of our initial viral load digital results return work. A few teasers from our Malawi work: - Viral Load Results were returned 44%-55% faster than with paper processes - Reduced lab backlog and can save costs of re-conducting VL test (up to $7 million per year in Malawi) - Decreases traffic on clinic days and reduces workload - Unique open rate of 72% - Reduced strain on stressed VL system frees up labs to do workups on CVD, TB, parasites, etc - KPIs & metrics available daily - Lab-test "agnostic": can deploy for all molecular, genetic, microscopy results Come find out how we did it!
As part of the #DigitalHealthWeek2024 my colleagues and I are presenting on Leveraging digital public infrastructure to expedite viral load results return for HIV positive clients in Malawi. #PatientCentredCare #InclusivityInDigitalHealth You can sign up for the event on the link below. https://lnkd.in/dhtZsvgZ
-
Cooper/Smith转发了
"Overall only 15% of the data reported were consistent during the 3-month period. Participants at various levels of the health information system raised concerns about the quality of community-level health data and its limited potential to contribute to planning. We found multiple similarities underlying causes of this poor data quality in the two countries even though one has HSAs paid and integrated into the health system (Malawi) and one used volunteers (Kenya). Both reported unavailability of standard data collection and reporting tools and limited training for CHVs on maternal and child health issues as well as on data entry. This problem was exacerbated by parallel reporting requirements of vertical programmes, resulting in multiple tools and duplication of efforts that was particularly prominent in the Malawian context." No quality without rationalization. Measuring overlap and LOE for data management should be part of any digital transformation strategy, but is lacking in most countries. Wouldn't it be nice if we had efficiency requirements baked into grants and *rewarded* cost-effective infrastructure decisions? ?? https://lnkd.in/eeMw3QKh
-
Cooper/Smith转发了
Excited to see friends and colleagues at #AIDS2024 in Munich next week. I didn't realize this, but in some low-resource countries roughly *a quarter* of all lab samples drawn for viral load testing are clinically irrelevant by the time the results reach patients and the process has to be repeated. We will present on a gov-lead, low-cost solution in #Malawi that cuts turn-around-time *in half* for patient VL results, saving money on redraws and reaching virally unsuppressed ART clients faster. #PutPeopleFirst!
-
-
Tyler Smith and Miyu Niwa went to WHA77 and the 2024 AI for Good Summit. Take a look at their takeaways #AI #GlobalHealth #DPI #SDGs
Last month Tyler Smith and Miyu Niwa went to World Health Assembly and the 2024 AI for Good Summit. Not surprisingly #AI, Digital Public Infrastructure #DPI, and the lack of progress on the Sustainable Development Goals #SDGs, were on everyone's mind. What’s missing from the conversations: Frank and realistic discussion about infrastructure policies:?AI requires substantial hardware, energy consumption, and computational power to work. In the majority of LMICs, data hosting and protection policy requires on-premise data storage and processing. We need solutions to meet LMIC privacy and data ownership needs, while pooling expensive and highly sophisticated technical assets so that countries can take full advantage of AI. Useful tools to measure the incremental value of tech:?Every country’s government has to make trade-offs. In LMICs, trade-offs across sectors often result in underfunded health programs. Within health, these trade-offs often mean deciding who goes without much-needed services, drugs, or basic utilities. Yes, AI for health can be transformative, but adoption will require convincing the funders, the clinic managers, the doctors, and the nurses, that a digital intervention is (a) valuable and (b) superior to what they already do. In a place where stockouts for essential drugs are the norm, how would you convince a funder that $100,000 is better spent on an algorithm to reduce drug shortage, rather than buying those missing meds? We lack standard, useful tools to properly evaluate new digital tech in context. A focus on reliability and trustworthiness in simple use cases:?With big hopes, comes big expectations. The excitement around AI for health is skewed toward apps that support health providers and patients directly (think of AI vision to better read diagnostics and chatbots for medical advice). While we excited about this, there are some very real challenges and tangible benefits to deploying AI tools in support of users more upstream in the health system. Large language models may not be able to provide reliable medical advice (don’t eat rocks!), but they are very good at parsing large troves of unstructured info to find what you’re looking for. They’re also good at coding. We see some very clear use cases that can help make sense of complicated clinical guidelines and health policy, parse mountains of health stats to return that needle in the haystack, and generally meet non-technical users where they are. Implementing these use cases requires some advances in structure and reliability, things we are working on now at Cooper/Smith. Read their full piece here: https://lnkd.in/gy3BxHuS
-
Cooper/Smith joins in mourning the late Right Honorable Dr. Saulos Klaus Chilima, Vice President of the Republic of Malawi, and the other officials who were lost in the tragic plane crash on Monday, 10 June 2024. We express our deepest condolences to the bereaved families and the nation of Malawi. This profound loss will never be forgotten.