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Client Outcomes Data in Microfinance: Few Have It But Everybody Needs It
Many recent studies have found that microfinance has no impact, or minimal positive impact, on clients’ lives. To find out why and to fix the problem, financial service providers need client outcomes data, but few FSPs collect it because they think it would be too expensive and time-consuming. Turns out, according to the SPTF Outcomes Working Group, it's not.
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- Uncategorized
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How Philips is using AI to transform healthcare
Data scientists have begun betting on the use of machine learning, deep learning, Big Data and artificial intelligence (AI) technologies to help in the early detection of diseases and advance healthcare. Leading the way on the road to healthcare analytics are the world’s five largest medical device companies—Johnson & Johnson, GE Healthcare, Siemens, Medtronic and Philips Healthcare.
- Categories
- Health Care
- Region
- South Asia
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Tanzania: Helpage Devises Health Monitoring Tools for Elderly
Helpage International has come up with Health Outcome Tools (HOT) in data collection for health and care indicators, especially in assessing the impact of interventions for older persons' health and wellbeing. HelpAge International Country Director, Amleset Tewodros, said HOT is a monitoring and evaluation tool developed for understanding projects or programmes that aim to benefit older men and women in low middle income countries.
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- Health Care
- Region
- Sub-Saharan Africa
- Tags
- data, public health
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Biocon to partner with govt for better rural health facilities
In an attempt to build a scalable healthcare model that'll make affordable healthcare accessible to rural communities, the state department of medical, health and family welfare signed a memorandum of understanding (MoU) with Biocon Foundation, the CSR arm of the pharmaceutical company headed by Kiran Mazumdar-Shaw to establish eLAJ smart clinics in 15 primary healthcare centres (PHC s) across six districts in Karnataka.
- Categories
- Health Care, Technology
- Region
- South Asia
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The Fourth Industrial Revolution: How Big Data and Machine Learning Can Boost Inclusive Fintech
It's easier and cheaper to generate data than ever before, and the tools to turn data into insights are growing exponentially. So much so, according to Matt Grasser of BFA, that any organization dealing with data that does not apply machine learning will be left behind. He explores the experiences of Destacame.cl, a fintech startup, in using machine learning to help identify good and bad payers based on a score.
- Categories
- Finance, Technology
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Learning From Failure: Lessons From Nigeria About Integrating Technology Into Rural Health Systems
A study showed that most people living in a Nigerian territory lacked access to health care, leading to a radical eHealth pilot project. That pilot failed, but lessons learned ultimately led to a stronger and more sustainable eHealth framework in Nigeria and can help others who hope to integrate technology into health systems, especially in limited-resource settings.
- Categories
- Health Care, Technology
- Tags
- data, failure, rural development
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How USAID Is Connecting Data From 85 Countries
The U.S. Agency for International Development collects data from employees, non-profits and contractors in 85 countries around the world.
- Categories
- Technology
- Tags
- data
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Don’t Just Color It Pink and Call It Financial Inclusion for Women
To close the financial inclusion gender gap, providers will have to do more than simply making cosmetic changes to their existing services. To that end, more than 100 financial regulators and policymakers recently gathered in Fiji and adopted a 10-point proposal focused on creating regulatory and operational environments conducive to bringing financial products and services to women – a possible game-changer for women’s financial inclusion.
- Categories
- Finance, Uncategorized