PT Unknown
AU Carles Sanchez
   Miguel Viñas
   Coen Antens
   Agnes Borras
   Debora Gil
TI Back to Front Architecture for Diagnosis as a Service
BT 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
PY 2018
BP 343
EP 346
DI 10.1109/SYNASC.2018.00059
AB Software as a Service (SaaS) is a cloud computing model in which a provider hosts applications in a server that customers use via internet. Since SaaS does not require to install applications on customers' own computers, it allows the use by multiple users of highly specialized software without extra expenses for hardware acquisition or licensing. A SaaS tailored for clinical needs not only would alleviate licensing costs, but also would facilitate easy access to new methods for diagnosis assistance. This paper presents a SaaS client-server architecture for Diagnosis as a Service (DaaS). The server is based on docker technology in order to allow execution of softwares implemented in different languages with the highest portability and scalability. The client is a content management system allowing the design of websites with multimedia content and interactive visualization of results allowing user editing. We explain a usage case that uses our DaaS as crowdsourcing platform in a multicentric pilot study carried out to evaluate the clinical benefits of a software for assessment of central airway obstruction.
ER