The next generation of interoperability agents in healthcare

Interoperability in health information systems is increasingly a requirement rather than an option. Standards and technologies, such as multi-agent systems, have proven to be powerful tools in interoperability issues. In the last few years, the authors have worked on developing the Agency for Integration, Diffusion and Archive of Medical Information (AIDA), which is an intelligent, agent-based platform to ensure interoperability in healthcare units. It is increasingly important to ensure the high availability and reliability of systems. The functions provided by the systems that treat interoperability cannot fail. This paper shows the importance of monitoring and controlling intelligent agents as a tool to anticipate problems in health information systems. The interaction between humans and agents through an interface that allows the user to create new agents easily and to monitor their activities in real time is also an important feature, as health systems evolve by adopting more features and solving new problems. A module was installed in Centro Hospitalar do Porto, increasing the functionality and the overall usability of AIDA.This work is funded by National Funds through the FCT-Fundacao para a Ciencia e a Tecnologia (Portuguese Foundation for Science and Technology) within project PEst-OE/EEI/UI0752/2014. PEst-OE means in Portuguese "Strategic Project by National Funds" and "EEI" means "Informatics and Electronic Engineering"

Building a semantic RESTFul API for achieving interoperability between a pharmacist and a doctor using JENA and FUSEKI

YesInteroperability within different healthcare systems (clinics/hospitals/pharmacies) remains an issue of further research due to a barrier in sharing of the patient’s Electronic Health Record (EHR) information. To solve this problem, cross healthcare system collaboration is required. This paper proposes an interoperability framework that enables a pharmacist to access an electronic version of the patient’s prescription from the doctor using a RESTFul API with ease. Semantic technology standards like Web Ontology Language (OWL), RDF (Resource Description Framework) and SPARQL (SPARQL Protocol and RDF Query Language) were used to implement the framework using JENA semantic framework tool to demonstrate how interoperability is achieved between a pharmacy and a clinic JENA was used to generate the ontology models for the pharmacy called pharmacy.rdf and clinic called clinic.rdf. The two models contain all the information from the two isolated systems. The JENA reasoner was used to merge the two ontology models into a single model.rdf file for easy querying with SPARQL. The model.rdf file was uploaded into a triple store database created using FUSEKI server. SPARQL Endpoint generated from FUSEKI was used to query the triple store database using a RESTFul API. The system was able to query the triple store database and output the results containing the prescription name and its details in JSON and XML formats which can be read by both machines and humans.Supported by a Institutional Links grant, ID 261865161, under the Newton-Ristekdikti Fund partnership. The grant is funded by the UK Department for Business, Energy and Industrial Strategy and Indonesia Ministry of Research, Technology and Higher Education and delivered by the British Council

Using the dual-level modeling approach to develop applications for pervasive healthcare

Health information technology is the area of IT involving the design, development, creation, use and maintenance of information systems for the healthcare industry. Automated and interoperable healthcare information systems are expected to lower costs, improve efficiency and reduce error, while also providing better consumer care and service. Pervasive Healthcare focuses on the use of new technologies, tools, and services, to help patients play a more active role in the treatment of their conditions. Pervasive Healthcare environments demand a huge amount of information exchange, and specific technologies have been proposed to provide interoperability between the systems that comprise such environments. However, the complexity of these technologies makes it difficult to fully adopt them and to migrate Centered Healthcare Environments to Pervasive Healthcare Environments. Therefore, this paper proposes an approach to develop applications in the Pervasive Healthcare environment, through the use of dual-level modeling based on Archetypes. This approach was demonstrated and evaluated in a controlled experiment that we conducted in the cardiology department of a hospital located in the city of Marilia (São Paulo, Brazil). An application was developed to evaluate this approach, and the results showed that the approach is suitable for facilitating the development of healthcare systems by offering generic and powerful capabilities

Towards a reusable architecture for message exchange in pervasive healthcare

The main objective of this paper is to present a reusable architecture for message exchange in pervasive healthcare environments meant to be generally applicable to different applications in the healthcare domain. This architecture has been designed by integrating different concepts and technologies of ubiquitous computing, software agents, and openEHR archetypes, in order to provide interoperability between healthcare systems. The architecture was demonstrated and evaluated in controlled experiments that we conducted at three cardiology clinics, an analysis laboratory, and the cardiology sector of a hospital located in Marília (São Paulo, Brazil). Three applications were developed to evaluate this architecture, and the results showed that the architecture is suitable to facilitate the development of healthcare systems by offering generic and powerful message exchange capabilities. The reusable architecture speeds up the development of new applications, reducing the number of mistakes and the development time. The proposed architecture facilitates message exchanging between caregivers, contributing in this way to the development of pervasive healthcare systems that allow healthcare to be available anywhere, anytime, and to anyone

Healthcare interoperability through intelligent agent technology

With technological advances, the amount of data and the information systems in healthcare units has been increasing exponentially. The accessibility and availability of patients’ clinical information are a constant need. The Agency for Integration, Diffusion and Archive of Medical Information (AIDA) was developed to fulfill this need and it was implemented at the Centro Hospitalar do Porto (CHP), revealing a highly successful, ensuring interoperability among CHP healthcare information systems. This paper presents a new AIDA module, which aims to monitor the activity of its agents. It revealed its usefulness, providing to the user the functionalities and the necessary data for it to make a complete monitoring of the activities of each AIDA agent. It was still considered an efficient system, since it does not compromise the resources of the machine where it was implemented. In addition, this module increases AIDA functionality and efficiency