The annual ICT4D Conferences have proven to be an invaluable opportunity for NGOs, private sector organizations, universities, governmental agencies and foundations to share their experience in using ICT to increase the impact of development programs and to learn from each other.  In 2016, 715 individuals from 76 countries and 301 private sector and public sector and civil society explored the ways to harness the full power of digital solutions to achieve the United Nations’ Sustainable Development Goals.  Our thanks to Accenture, Catholic Relief Services, Esri, Hewlett Packard Enterprise, iMerit Technology Services, Inmarsat, IS Solutions, Making All Voices Count, Mercy Corps, Microsoft, NetHope, Oxfam, Pandexio, Qualcom Wireless Reach, RTI International, SimbaNet and World Vision for making that possible.

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Wednesday, May 18 • 14:55 - 16:00
mHealth Data Assessment Tool(mDAT) LIMITED

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Limited Capacity seats available

The importance of health information systems (HIS) and use of health data for decision making have long been recognized as critical to improving health service delivery and health systems performance. Mobile-based HIS programs face unique data quality challenges which often result in severe limitations in using the data to monitor and evaluate the program. In response to the need to better guide mobile data management practices, the WHO HRP and JHU-GmI developed the mHealth Data Assessment Tool (mDAT). The mDAT is adapted from existing HIS tools such as the Performance of Routine Information System Managament (PRISM) and presents a unique approach to designing, strengthening and evaluating a mobile-supported HIS.
The mDAT consists of six steps: identification of program claims, identification of indicators necessary to support those claims, overview of existing data sources, mapping of data sources, alignment of indicators with data sources, and assessment of the data. The final step (assessment of the data) takes the user through a series of questions under five domains which represent best practices for improving mobile data quality. These include the domains of data collection, data storage, data analytics/dashboards, data management and data use. Each of these supports the identification of gaps in the data management process, and aims to broadly generate recommendations for the improvement of the data management system.

avatar for Dr. Smisha Agarwal

Dr. Smisha Agarwal

Associate, Johns Hopkins Bloomberg School of Public Health
Dr. Agarwal is an Associate in the Department of International Health at the Johns Hopkins Bloomberg School of Public Health and the Johns Hopkins Global mHealth Initiative (JHU-GmI). She is a population health scientist with expertise in monitoring and evaluation of large scale maternal... Read More →

Wednesday May 18, 2016 14:55 - 16:00 EAT
Mt Elgon D - Partition C