Why we are moving away from Om (and how we decided on our new front-end tech stack)


We recently evaluated the future of our front-end stack. The changes we decided on did not come easy, but we figured it out and wrote this article to walk you through the factors influencing our decision — and explore the directions we could have gone. Our hope is you can benefit from the research we did in case you are choosing or switching the front-end framework for your web application.

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Ona News


What’s New?


Ona Named One of TIME’s 50 “ Genius Companies” 2018

Ona was recently recognized as one of TIME magazine’s inaugural “Top 50 Most Genius Companies” list. This list recognizes innovative businesses that are changing the way we work, live and play.

Ona, one of five African companies selected for the list, was selected for its focus on solving public health and social sector challenges through technology. Using mapping and data technologies from its namesake mobile survey platform, Ona also builds mobile apps such as OpenSRP, which helps frontline health workers deliver services more effectively to rural families. The mapping work, referenced in TIME, is the result of a four-year partnership with Zambia-based Akros, mPower, SDI, WHO, IRD, SID, and JHU to co-develop mSpray, an innovative approach to support precision service delivery. Ona also created Canopy, an enterprise data analytics and visualization platform, specifically to support the needs of humanitarian and international development organizations.

Read more about this here.


Ona Data Platform

As part of improving our privacy and security policy we have added an email verification step in the signup process. Email verification adds an extra layer of security to your account by requiring you to verify the email address that is tied to your Ona account. All new user accounts will be required to verify their email address by clicking the email verification link that is sent to your email after creating an account. For existing user accounts that have not verified their email address, a message prompting you to verify your email will appear on the homepage of your Ona account when you log in. Unverified user accounts will not be able to contact us via chat or email. For any related issues, please email support@ona.io.

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The Better Immunization Data Story


Ona’s involvement in PATH’s BID Initiative began in January 2017, when we started developing the Zambia Electronic Immunization Register (ZEIR), in partnership with PATH, Zambia MOH, and BlueCode. ZEIR, built on top of OpenSRP, targets nurses and other frontline health workers in Zambia to help them track immunizations and identify missed children.

Read about the entire experience in PATH’s The BID Story, which includes perspectives from Matt Berg, Ona’s CEO, and other key stakeholders in the initiative. See how ZEIR led to a 27% increase in health workers’ ability to identify vaccine defaulters.

At WHO presenting on Innovative Digital Strategies for Equity and Effectiveness


On Thursday, November 8th we will be speaking at the World Health Organization (WHO) on innovative digital strategies that work towards health for all people. This talk is hosted by the Innovations Hub and the Reproductive Health and Research (RHR) Department.

Flyer for presentation on innovative digital strategies, Salle B, 12:15-13:45

This is following a great meeting we’ve had with colleagues at WHO and across the industry as part of the Technical Working Group on Computable Guidelines and Machine Learning for Improving Population Service Delivery and Accountability for Sexual, Reproductive, Maternal, Newborn, Child and Adolescent Health (SRMNCAH).

Presenting on Machine Learning for Healthcare at the Royal Academy of Engineers


This past week we were in Vietnam for the Royal Academy of Engineers Frontiers of Development symposium, which is brought together engineering leaders in academia and industry to solve global development issues. I presented on ways to re-think how we can utilize machine learning and engineering in low and middle income countries to create more efficient and user-friendly healthcare systems in low resource settings.

Peter presenting on machine learning

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