Improving High Availability and Reliability of Health Interoperability Systems

Ambient Intelligence - Software and Applications

et al. 2014

Self Cite

The interoperability among the Health Information Systems is a natural demand nowadays. The Agency for Integration, Diffusion and Archive of Medical Information (AIDA) is a Multi-Agent System (MAS) specifically developed to guarantee interoperability in health organizations. This paper presents the Biomedical Multi-agent Platform for Interoperability (BMaPI) integrated in AIDA and it is used by all hospital services which communicates with AIDA, one of the examples is the Intensive Care Unit. The BMaPI main objective is to facilitate the communication among the agents of a MAS. It also assists the interaction between humans and agents through an interface that allows the administrators to create new agents easily and to monitor their activities in real time. Due to the BMaPI characteristics it is possible ensure the continuous work of the AIDA agents associated to INTCare system. The BMaPI was installed in Centro Hospitalar do Porto successfully, increasing the functionality and overall usability of AIDA platform.

Section: Discussionmentioning

confidence: 99%

A Multi-agent Platform for Hospital Interoperability

Cardoso

Marins

Ambient Intelligence - Software and Applications

et al. 2014

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“…To support this architecture a set of intelligent agents [21,22] is used. First a ventilator is connected to a patient.…”

Section: Data Acquisition Architecturementioning

confidence: 99%

Critical Events in Mechanically Ventilated Patients

New Advances in Information Systems and Technologies

Santos

Machado

et al. 2016

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Abstract. Mechanical Ventilation is an artificial way to help a Patient to breathe. This procedure is used to support patients with respiratory diseases however in many cases it can provoke lung damages, Acute Respiratory Diseases or organ failure. With the goal to early detect possible patient breath problems a set of limit values was defined to some variables monitored by the ventilator (Average Ventilation Pressure, Compliance Dynamic, Flow, Peak, Plateau and Support Pressure, Positive end-expiratory pressure, Respiratory Rate) in order to create critical events. A critical event is verified when a patient has a value higher or lower than the normal range defined for a certain period of time. The values were defined after elaborate a literature review and meeting with physicians specialized in the area. This work uses data streaming and intelligent agents to process the values collected in real-time and classify them as critical or not. Real data provided by an Intensive Care Unit were used to design and test the solution. In this study it was possible to understand the importance of introduce critical events for Mechanically Ventilated Patients. In some cases a value is considered critical (can trigger an alarm) however it is a single event (instantaneous) and it has not a clinical significance for the patient. The introduction of critical events which crosses a range of values and a predefined duration contributes to improve the decision-making process by decreasing the number of false positives and having a better comprehension of the patient condition.

“…At Centro Hospitalar do Porto (CHP), the interoperability between information systems is ensured by Agency for Integration, Archive and Diffusion of Medical Information (AIDA). This system of intelligent agents allows communication of the different CHP systems, as well as standardization of clinical systems, overcoming the medical and administrative complexity of the different information sources (Marins et al, 2014). Thus, AIDA ensures Information sending and receiving from the hospital and is able to managing, storing and responding to the requests for information made from third parties (Machado, Alves, Abelha, & Neves, 2007;Peixoto, Santos, Abelha, & Machado, 2012).…”

Section: Interoperability Systemmentioning

confidence: 99%

Step towards Improving the Voluntary Interruption of Pregnancy by Means of Business Intelligence

Brandão

Applying Business Intelligence to Clinical and Healthcare Organizations

2016

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With the implementation of Information and Communication Technologies in the health sector, it became possible the existence of an electronic record of information for patients, enabling the storage and the availability of their information in databases. However, without the implementation of a Business Intelligence (BI) system, this information has no value. Thus, the major motivation of this paper is to create a decision support system that allows the transformation of information into knowledge, giving usability to the stored data. The particular case addressed in this chapter is the Centro Materno Infantil do Norte (CMIN), in particular the Voluntary Interruption of Pregnancy (VIP) unit. With the creation of a BI system for this module, it is possible to design an interoperable, pervasive and real-time platform to support the decision-making process of health professionals, based on cases that occurred. Furthermore, this platform enables the automation of the process for obtaining key performance indicators that are presented annually by this health institution. In this chapter, the BI system implemented in the VIP unity in CMIN, some of the indicators (KPIs) evaluated as well as the benefits of this implementation are presented.