INTEGRATION D’UN OBSERVATOIRE URBAIN SUR GOOGLE MAPS : Cas des infrastructures de la santé de la ville de Douala Cameroun

The spectacular advances computer science applied to geographic information systems (GIS) in recent times has favored the emergence of several technological solutions. These developments have given rise to enormous opportunities for digital management of the territory. Among the technological solutions, the most famous Google Maps offers free online mapping dynamic exhaustive of the Maps. In addition to meet the enormous needs of urban indicators geotagged information, we did work on this project “Integration of an urban observatory on Google Maps.” The problem of geolocation in the urban observatory is particularly relevant in the sense that there is currently no data (descriptive and geographical) reliable on the urban sector; we must stick to extrapolate from data old and obsolete. This helps to curb the effectiveness of urban management to make difficult investment programming and to prevent the acquisition of knowledge to make cities engines of growth. The use of a geolocation tool coupled to the data would allow better monitoring of indicators Our project's objective is to develop an interactive map server (WebMapping) which map layer is formed from the resources of the Google Maps servers and match information from the field to produce maps of urban equipment and infrastructure of a city data to the client's request To achieve this goal, we will participate in a study of a GPS location of strategic sites in our core sector (health facilities), on the other hand, using information from the field, we will build a postgresql database that will link the information from the field to map from Google Maps via KML scripts and PHP appropriate. We will limit ourselves in our work to the city of Douala Cameroon with the sectors of health facilities with the possibility of extension to other areas and other cities. Keywords: Geographic Information System (GIS), Thematic Mapping, Web Mapping, data mining, Google API.

Soutien informatique dans la gestion de la douleur aiguë aux urgences: acceptation par les soignants et impact sur les connaissances des Recommandations de Pratiques Cliniques (RPC)

Dans une étude précédente, nous avons démontré qu'un soutieninformatique rappelant les Recommandations de Pratiques Cliniques(RPC) améliore la gestion de la douleur aiguë aux urgences à moyenterme (JEUR 2009;22:A88). Par contre, son acceptation par lessoignants et son impact sur leurs connaissances des RPC sontinconnus. But de l'étude: mesurer l'impact du logiciel en termesd'acceptation et connaissance des RPC par l'équipe soignante.Méthode: analyse de 2 questionnaires remplis par les médecins etinfirmiers: le 1er administré en pré-, post-déploiement et 6 mois plustard (phases P1, P2 et P3) qui a évalué: a) l'appréciation subjective desconnaissances des RPC par échelle de Lickert à 5 niveaux; b) lesconnaissances objectives des RPC à l'aide de 7 questions théoriques(score max. 7 points); le 2ème administré en P2 et P3, l'utilité perçue dulogiciel (échelle à 4 niveaux). Analyses statistiques par test de chi2outest exact de Fisher; p bilatéral <0.05 significatif. Résultats: la proportiondes soignants estimant avoir une bonne connaissance des RPC apassé de 48% (45/94) en P1, à 73% (83/114) puis 84% (104/124) en P2et P3, respectivement (p <0.0001). Score des connaissances: cftableau. Entre P2 et P3, l'appréciation globale de l'utilité du logiciel s'estaméliorée: la proportion des avis favorables a passé de 59% (47/79) à82% (96/117) (p = 0.001). Conclusion: ce logiciel a été bien accepté et apermis une amélioration significative des connaissances des RPC parles soignants.

Normalisation informatique et marchés de services : le cas du XML

Extensible Markup Language (XML) is a generic computing language that provides an outstanding case study of commodification of service standards. The development of this language in the late 1990s marked a shift in computer science as its extensibility let store and share any kind of data. Many office suites software rely on it. The chapter highlights how the largest multinational firms pay special attention to gain a recognised international standard for such a major technological innovation. It argues that standardisation processes affects market structures and can lead to market capture. By examining how a strategic use of standardisation arenas can generate profits, it shows that Microsoft succeeded in making its own technical solution a recognised ISO standard in 2008, while the same arena already adopted two years earlier the open source standard set by IBM and Sun Microsystems. Yet XML standardisation also helped to establish a distinct model of information technology services at the expense of Microsoft monopoly on proprietary software