title: Sensor-based architecture for medical imaging workflow analysis.
abstract: The growing use of computer systems in medical institutions has been generating a tremendous quantity of data. While these data have a critical role in assisting physicians in the clinical practice, the information that can be extracted goes far beyond this utilization. This article proposes a platform capable of assembling multiple data sources within a medical imaging laboratory, through a network of intelligent sensors. The proposed integration framework follows a SOA hybrid architecture based on an information sensor network, capable of collecting information from several sources in medical imaging laboratories. Currently, the system supports three types of sensors: DICOM repository meta-data, network workflows and examination reports. Each sensor is responsible for converting unstructured information from data sources into a common format that will then be semantically indexed in the framework engine. The platform was deployed in the Cardiology department of a central hospital, allowing identification of processes' characteristics and users' behaviours that were unknown before the utilization of this solution.
authors: Universidade de Aveiro - DETI/IEETA, Aveiro, Portugal, bastiao@ua.pt.
authors: Luís A Bastião
authors: LA
authors: Silva
authors: Samuel
authors: S
authors: Campos
authors: Carlos
authors: C
authors: Costa
authors: José Luis
authors: JL
authors: Oliveira
mesh_terms: D057225:Data Mining; D006751:Hospital Information Systems / Q000458:organization & administration*; D006801:Humans; D011873:Radiology Information Systems / Q000458:organization & administration; D018511:Systems Integration; D014584:User-Computer Interface; D057188:Workflow