Fondation Pierre Fabre

A digital system for gathering health information

Main beneficiary country:

About the sponsor


The National Telehealth and Medical IT Agency is a national public body for science and technology. It was founded by Order 08 - 007 dated 26 Sep 2008, ratified by law 08-34/4L dated 27 October 2008. Its role is to promote the development of telehealth and medical IT in Mali. To that end, its role includes: • Promoting research in ICT for the health sector. • Contributing to university training and CPD in telehealth and medical IT. •Contributing to scientific and technical information on telehealth and medical IT. • Implementing an electronic healthcare system. • Harmonising and standardising processes, equipment, and software in the health sector. • Spreading word about telehealth and medical IT. • Delivering services in its area of expertise. • Providing technical and scientific support to telehealth and medical IT organisations. •Creating and managing telehealth and medical IT databanks. Promoting discussion and debate of telehealth and medical IT.

Sector: Health: Healthcare professionals and structures

Country of origin: Mali

The organisation has:

Full-Time Equivalents
Service providers

Initiative overview

Healthcare themes targeted

  • Mother and child health
  • Nutrition
  • Malaria/paludism
  • Sexual and reproductive health
  • Access to quality medicines/pharmacies
  • Vaccination
  • Ophthalmology
  • Integrated Disease Surveillance and Response (IDSR), world/global health

Stage of development:

  • Routine project/operational

Area where initiative is utilised

  • National (in one country only)

Initiative start date

  • 07/01/2011


Financing method

  • Public (grant/subsidies, call for proposals/call for tender, etc.)
  • Private (private investors, crowdfunding, philanthropy, etc.)
  • NGO
  • Government agency (i.e AFD, USAID, etc.)
  • Intergovernmental or international agency

Economic model(s)

  • Subsidies
  • Donations

About the initiative

Problem seeking to resolve:

- Increasing number of highly varied healthcare data collection tools.

- Low quality of collected data.

- Delay in sending data and lack of interoperability of different platforms used.

The solution provides an automated analysis of data by its level in the healthcare pyramid, without the user requiring expertise in statistical analysis tools (SPSS, Epidata, Epiinfo, Excel, etc). This facilitates fact-based local, regional, and national planning and decision-making.

The increasing number of projects and the differences between professions (frequency, expected solutions, etc.) required increasing efforts to monitor and ensure the smooth collection of data. Trials have taught us how to reliably and occasionally collect data. But it was all carried out in independent efforts. With the SNISI, all of the data collection tools have been made interoperable (integration of processes and tools from all projects). This means that the systems are now viable in the long-term and has considerably reduced the resources needed to run them and ensure their continuous improvement and future upgrades. The following activities have been carried out: • Creation of a shared database to record data from all projects (monthly and weekly routines, community - agent - and healthcare -clinic - data. • Transmission of unified data, receipt of SMS data via modem or SMPP. • Updated database of Malian communities and clinics, with geographical data. •A single directory of all user access. • Single interface for data from every project. •Single interface for tracking data collection. All of these improvements have made the healthcare information system more effective and efficient, by harnessing the huge potential of ICT: • Single hardware infrastructure to manage • Single software to learn • Single mobile fleet • Improved responsiveness and better control of costs in setting up new projects.

Fields of application:

Health professional training - Patient monitoring and medical data

Target audience

  • Healthcare professionals and structures (hospitals, healthcare centres/clinics, health networks)
  • Entire population
  • Pregnant women
  • Children - adolescents (ages 6-18)
  • Young children (0-5 years)
  • Healthcare system decision-makers

Initiative objectives

  • Decreased mortality
  • Decreased morbidity
  • Improved treatment
  • Real-time healthcare information

Key figures

5000000 Number of beneficiaries since launch

792 Number of users per Day

Materials used

  • Cellular (mobile) phone
  • Smartphone
  • Tablet
  • Computer
  • 3G+ dongles

Technologies used

  • Mobile telecommunications (without data connection)
  • Internet
  • Geolocation
  • Mobile app (Android, iOS, Windows Phone, HTML5, etc.)
  • Python Jango

Offline use


Open Source


Open Data


Independent evaluation

auto-evaluated or evaluated by a related organization



Organizational: Communities, public authorities, NGOs, associations, foundations, etc.


Organizational: Communities, public authorities, NGOs, associations, foundations, etc.


Organizational: Communities, public authorities, NGOs, associations, foundations, etc.


Industrial: Startups, enterprises, etc.