BACKGROUND: The cornerstone of decision making aimed at improving health services is accurate and timely health information. The Ministry of Public Health and Sanitation in Kenya decided to pilot feasibility of Fionet, an innovation that integrates diagnostics, data capture and cloud services, in its @entity311 control programme to demonstrate usability and feasibility by primary level workers in a remote setting in Kenya. METHODS: Eleven sites comprising one sub-district hospital, ten health centres and dispensaries were selected in three districts of Kisumu County to participate. Two health workers per site were selected, trained over a two-day period in the use of the Deki Reader    to undertake @entity1062 ( @entity1062 ) for @entity311 and data capture of @entity1 ' records. Health managers in the three districts were trained in the use of Fionet    portal (web portal to cloud based information) to access the data uploaded by the Deki Readers. Field Support was provided by the Fio Corporation representative in Kenya. RESULTS: A total of 5812 @entity311 RDTs were run and uploaded to the cloud database during this implementation research study. Uploaded data were automatically aggregated into predetermined reports for use by service managers and supervisors. The Deki Reader enhanced the performance of the health workers by not only guiding them through processing of a @entity311 @entity1062 test, but also by doing the automated analysis of the @entity1062 , capturing the image, determining whether the @entity1062 was processed according to guidelines, and capturing full @entity1 data for each @entity1 encounter. Supervisors were able to perform remote Quality assurance/Quality control (QA/QC) activities almost in real time. CONCLUSION: Quality, complete and timely data collection by health workers in a remote setting in Kenya is feasible. This paperless innovation brought unprecedented quality control and quality assurance in diagnosis, care and data capture, all in the hands of the health worker at point of care in an integrated way.

Feasibility of an innovative electronic mobile system to assist health workers to collect accurate, complete and timely data in a XXXX control programme in a remote setting in Kenya.

@entity1 :: ('9606', 'Species') :: ['patients', 'patient'] @entity311 :: ('MESH:D008288', 'Disease') :: ['malaria'] @entity1062 :: ('MESH:D013736', 'Disease') :: ['RDT', 'rapid diagnostic testing']
@entity311 :: (MESH:D008288,Disease) :: ['malaria']
