ABSTRACT
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. This framework can collect, explore, process and structure the aforementioned information, which allow us to develop an equivalent function to a data mart in an Intelligence Business system.
Subject(s)
Algorithms , Biomedical Research/organization & administration , Datasets as Topic , Electronic Health Records/organization & administration , Information Storage and Retrieval/methods , Medical Record Linkage/methods , Natural Language Processing , Spain , Systems IntegrationABSTRACT
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. Although a component of ACHEGAMED, it can be integrated in other systems in a semantic interoperable way thanks to the ISO 13606 standard, allowing the continuity of patient care.
Subject(s)
Data Mining/standards , Health Information Systems/standards , Information Storage and Retrieval/standards , Monitoring, Physiologic/standards , Practice Guidelines as Topic , Telemedicine/standards , Clinical Alarms/standards , InternationalityABSTRACT
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. This article presents an information system for patient tracking and drugs developed for the Emergency Department of Hospital A Coruña. The systems use RFID technology to perform various tasks: (1) locate patients in different areas; (2) measure patient care times and waiting times; (3) identify unitary doses of medication; and (4) ensure the correct matching between the patient and the medication prescribed by the doctor. The hardware infrastructure as well as the optimal configuration of devices interconnected via a wireless network was determined by conducting a detailed coverage study. To support all the functionality needed, specific tools were designed and integrated with proprietary software applications. The RFID system was evaluated positively by staff from different professional profiles involved in its development or subsequent implementation.
