Publications by authors named "Daniel Llamas Gomez"

ACHEGAMED is an unsupervised real-time patient monitoring system, with the goal of decreasing the exam and diagnosis time of the most prevalent diseases in today's healthcare services. We developed, as a component of ACHEGAMED, a system for storing a wide range of biomedical parameters as ISO 13606 extracts. The system is able to detect clinical alarms in those parameters and communicate them, if needed, to the appropriate medical staff.

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Most of the information collected in different fields by Instituto de Investigación Biomédica de A Coruña (INIBIC) is classified as unstructured due to its high volume and heterogeneity. This situation, linked to the recent requirement of integrating it to the medical information, makes it necessary to implant specific architectures to collect and organize it before it can be analysed. The purpose of this article is to present the Hadoop framework as a solution to the problem of integrating research information in the Business Intelligence field.

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One of the most important factors that directly affects the quality of health care is patient safety. Minimize the occurrence of adverse events is one of the main challenges for health professionals. This requires continuous tracking of the patient by different areas and services, a process known as traceability and proper patient identification and medication prescribed.

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