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Enyonam Dzide
Software Product Design and Development
                Adzo.dzide@gmail.com


                     Nii Okai Quaye
      Independent Software Developer
      (Free and Open Source Software)
                  naut23@gmail.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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Enyonam dzide mobile data collection needs

  • 1. Enyonam Dzide Software Product Design and Development Adzo.dzide@gmail.com Nii Okai Quaye Independent Software Developer (Free and Open Source Software) naut23@gmail.com
  • 2. Mobile Data Collection  Introduction  Data Collection  mHealth  ChildCount plus  Rural Medical Laboratory Services  Data collection needs
  • 3. 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.
  • 4. 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
  • 5. 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
  • 6. 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
  • 7. 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
  • 8. 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
  • 9. 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