Systems adaptation and functionality addition could pose great efforts and high costs if done by expert developers, especially when it comes to ambient intelligence environments. In this paper it is presented an ambient intelligence environment for decision making in the pharmacy department of Gregorio Marañón Hospital of Madrid, composed of a drug traceability infrastructure (Drug TraIN) and a ubiquitous application for enabling the pharmacy staff to create and execute Decision Making Services for Prosumer Pharmacy (DM-SePP). The authors carried out a case study where 16 people from pharmacy staff were involved in services creation showing that they are very satisfied with the application, evaluating it as relevant. Furthermore, the authors have analyzed the effort required to create services by pharmacy staff contrasting it with the one required by expert developers, showing that the effort is lower when using a prosumer environment.
CITATION STYLE
Martín, D., Alcarria, R., Sánchez-Picot, Á., & Robles, T. (2014). Decision making environment based on prosumer services for tracing drugs in a hospital pharmacy department. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8867, 324–332. https://doi.org/10.1007/978-3-319-13102-3_54
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