Efficient Electronic Capture of
Paper Medical Registry Books
ScanForm enables frontline workers in remote areas to collect vital and time-sensitive information in resource poor conditions.
By using ScanForm, paper forms can be transcribed with a single smartphone photo. Once the photo is uploaded to the cloud, the handwriting is transcribed using artificial intelligence, and is exportable to Excel. Summary statistics and visual analytics can be auto-computed in real-time.
This technology, built by QED, has been used for several years for epidemiological surveillance in Kenya, and has been highlighted on The Gates Notes. It makes near real-time surveillance possible even in rural medical clinics lacking electronic infrastructure, but the surveillance of malaria, HIV, and TB remains crucial. Paper guarantees that data entry is straightforward and scalable, and ScanForm ensures that data will be received.
Handwritten data is digitized and exportable to Excel within 60 seconds.
Photograph on left. Digitally populated and auto-transcribed template on the right.
We express our gratitude to our medical partners for presenting the problem to us, for allowing our engineering teams to be embedded into their day-to-day operations, for opening their homes to us and providing us with their hospitality, and for their partnership and support.