Description of Session
To achieve the strategic objective of provision of quality health services for all, we need to improve quality of data and even more importantly strengthen the culture of data use. At the heart of every ardent call for more action, lies the need to address key issues. For instance, the need to enhance interactions between front-line health workers and families, devise efficient means to collect and use client data by front-line health workers, among others, hence leading to the design and development of smart paper technologies. This will be a practical session to show case the Smart Paper Technology (SPT) platform that uses machine learning to learn human written. Smart Paper Technology is the first solution globally to integrate the versatility of paper and information technology. The solution was developed based on the lessons learned and failures with point-of-care electronic systems from low resource settings. SPT Solution enables health workers to register women and children with a unique ID and capture their health data on Smart Paper Forms which are then scanned and automatically digitized. Smart Paper Forms are modelled based on and replace existing paper forms used in the health centers (register books, tally-sheets, summaries). Scanning stations are placed in select sites where ICT infrastructure has already been deployed and supported by the Government. Scanned data are processed by SPT Engine, which constitutes a suite of tools that facilitates data processing, verification, quality assurance, report generation and archiving. The system automatically generates Electronic Register Books (individual electronic health records), standard national health management information system (HMIS) and logistics management information system (LMIS) reports and integrates the data with other applications(DHIS2 and Dashboards). To drive better decision making based on reliable data, SPT integrates data for action indicators as part of monitoring and evaluation processes.
