Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Avaaj Otalo: a field study of an interactive voice forum for small farmers in rural India
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Local ground: a paper-based toolkit for documenting local geo-spatial knowledge
Proceedings of the First ACM Symposium on Computing for Development
Digitizing paper forms with mobile imaging technologies
Proceedings of the 2nd ACM Symposium on Computing for Development
Shreddr: pipelined paper digitization for low-resource organizations
Proceedings of the 2nd ACM Symposium on Computing for Development
Design of a phone-based clinical decision support system for resource-limited settings
Proceedings of the Fifth International Conference on Information and Communication Technologies and Development
Proceedings of the Fifth International Conference on Information and Communication Technologies and Development
"Yours is better!": participant response bias in HCI
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Open data kit: tools to build information services for developing regions
Proceedings of the 4th ACM/IEEE International Conference on Information and Communication Technologies and Development
Managing microfinance with paper, pen and digital slate
Proceedings of the 4th ACM/IEEE International Conference on Information and Communication Technologies and Development
The design and implementation of the PartoPen maternal health monitoring system
Proceedings of the 3rd ACM Symposium on Computing for Development
Improving form-based data entry with image snippets
Proceedings of Graphics Interface 2013
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We describe our experiences integrating ODK Scan into the community health worker (CHW) supply chain in Mozambique. ODK Scan is a mobile application that uses computer vision techniques to digitize data from paper forms. The application automatically classifies machine-readable data types, like bubbles and checkboxes, and assists users with the manual entry of handwritten text and numbers. We designed an intervention that uses paper forms in conjunction with ODK Scan to monitor CHW usage of essential health commodities, finding that the application is capable of providing supervisors and stakeholders with important information regarding health commodity availability in the field. Specifically, we (1) detail our experiences integrating ODK Scan into the health worker supply chain in Mozambique, with particular emphasis on the critical (and often under-reported) role of practitioners; (2) evaluate the impact of the technology at multiple levels of the information hierarchy, providing quantitative and qualitative data that exposes the benefits, challenges and limitations of the technology; and (3) share lessons learned and provide actionable guidance to researchers and practitioners interested in ODK Scan or other systems that bridge the gap between paper-based and digital data collection.