A RESTful Approach for Developing Medical Decision Support Systems
Buchtitel: ESWC 2015
Current developments in the medical sector are witnessing the growing digitalization of data in terms of patient tests, records and trials, use of sensors for monitoring and recording procedures, and em- ploying digital imagery. Besides the increasing number of published guide- lines and studies, it has been shown that clinicians are often unable to observe these guidelines correctly during the actual care process. The increasing number of guidelines and studies, and also the fact that physi- cians are often unable to observe these guidelines correctly provide the foundation for this paper. We will tackle these problems by developing a medical assistance system which processes the gathered and integrated data from different sources, and assists the physicians in making deci- sions, preparing treatment plans, and even guide surgeons during invasive procedures. In this paper we demonstrate how a RESTful architecture combined with applying Linked Data principles for data storage and ex- change can effectively be used for developing medical decision support systems. We propose different autonomous subsystems that automati- cally process data relevant to their purpose. These so-called ”Cognitive Apps” provide RESTful interfaces and perform tasks such as convert- ing and uploading data and deducing medical knowledge by using in- ference rules. The result is an adaptive decision support system, based on distributed decoupled Cognitive Apps, which can preprocess data in advance but also support real-time scenarios. We demonstrate the prac- tical applicability of our approach by providing an implementation of a system for processing patients with liver tumors. Finally, we evaluate the system in terms of knowledge deduction and performance.
Download: Media:Weller RestfulApproachMedicalDomain.pdf
DOI Link: 10.1007/978-3-319-25639-9_50