Enyonam DzideSoftware Product Design and Development Adzo.firstname.lastname@example.org Nii Okai Quaye Independent Software Developer (Free and Open Source Software) email@example.com
Mobile Data Collection Introduction Data Collection mHealth ChildCount plus Rural Medical Laboratory Services Data collection needs
Introduction – Data collection Data collection Basic activity in programs and projects for purposes of Planning Decision making Work Monitoring and evaluation Traditionally, manual and paper based. Error prone Costly and time consuming Data is usually not captured in real-time. Need to automate Web and mobile based solutions.
Introduction - mHealth It is the application of mobile technology and multimedia in the delivery of public health services. Relevant in both industrialized and developing countries. How to acquire, transport, store, process, and secure the raw and processed data to deliver meaningful results. With the rise in the availability of handsets it offers health care access to people in rural areas. Especially by challenging the constraints of health professional patient ratio Education and awareness By offering helplines Remote monitoring and data collection
mHealth Applications Native app Application sits on phone and uses phones resources (Android, IOS) CommCare (Java) SMS based ChildCount+ Most common denominator delivery medium Allows for both low budget phones and sophisticated Allows for some structured and formatted input Web and mobile web This relies on data or internet Coupled with a server side component
mHealth Applications Voice Apps Mostly seen in the form of interactive voice apps Where voice prompts are used as input medium Good for highly illiterate areas also for anonymous services for culturally and socially sensitive setting eg STD counseling May also be one directional broadcasts where information of various kinds are sent en mass to individuals at the same time
ChildCount + Millennium Villages project Maternal and child welfare Field based community health workers SMS based data collection Based on RapidSMS Registration of Children under five and pregnant women Monitoring Malnutrition (MUAC) RDT (malaria) Analytics Community Health Worker CHW household visits Currently deployed Deployed in MVP Site at Bonsaaso Second village in the SADA enclave
Medical Laboratory Service Clinics established in remote areas serviced by one lab Delayed results and diagnosis because of long distances. Use SMS to request results. Desktop Clinic with lab modules Childcount+ intermediary servers OpenMRS medical records
Needs Analysis Automated mobile based data collection Transmission medium Dynamic form creation Xforms SMS/Keyword based form Data integrity and quality of data Constraints Skip logic Cheaper and faster Design with analysis and reports in mind Web based administration and reporting
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