Proceedings / AMIA ... Annual Symposium. AMIA Symposium
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In intensive care physiological variables of the critical-ly ill are measured and recorded in short time intervals. The existing alarm systems based on fixed thresholds produce a large number of false alarms. ⋯ There are various approaches to modeling time-dependent data and also several methodologies for pattern detection in time series. We compare several methodologies de-signed for online detection of measurement artifacts, level changes, and trends for a proper classification of the patient s state by means of a comparative case-study.
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Comparative Study
Does size matter?--Evaluation of value added content of two decades of successive coding schemes in secondary care.
Over the last two decades there has been a gradual evolution from the use of simple coding schemes to controlled clinical terminologies within clinical information systems in secondary care. This evolution has required significant resources in both the development of the different coding schemes and the cost of hardware, software and human effort in implementation. During this time there has been successively larger and more complex coding schemes available for use in the UK Health Service: Read Codes 4 byte set, Read Codes 5 byte set, ICD-10 and Clinical Terms Version 3. ⋯ The schemes are quantitatively evaluated by measuring their success in providing a concept match for every notion from the CIS and their relative merits are compared. Significant added value has accrued over the years in completeness of the schemes reflected in their increased size. There appears to be justification for the continued development of clinical terminologies to support secondary care.
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Automated physiologic event detection and alerting is a challenging task in the ICU. Ideally care providers should be alerted only when events are clinically significant and there is opportunity for corrective action. However, the concepts of clinical significance and opportunity are difficult to define in automated systems, and effectiveness of alerting algorithms is difficult to measure. ⋯ During a 6-month test period in the trauma ICU at Vanderbilt University Medical Center, 530 alerts were detected in 2280 hours of data spanning 14 patients. Clinical users electronically documented 81% of these alerts as they occurred. Retrospectively classifying documentation based on therapeutic actions taken, or reasons why actions were not taken, provided useful information about ways to potentially improve event definitions and enhance system utility.
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Nowadays a great number of applications are used to compile and transmit casualties and disasters information but there are many troubles associated with the technology as can be the communications reliability and the size and weight of the devices medical staff has to carry with. Telecommunication infrastructures support information movement among geographically dispersed locations. Recently a large family of little devices has appeared in the buyer's market. ⋯ As for the communications reliability, many technologies have been developed in the last years but it is necessary to find a solution that can be used in whatever situation independently of the emergency circumstances. Facing this reality, the Spanish government funded REMAF, an ATYCA (Initiative of Support for the Technology, Security and Quality in the Industry) project. REMAF joined research groups (UPM), phone operators (Fundación Airtel Móvil) and end users (SAMUR) to build a disaster data management system conceived to use modern telemedicine systems to optimize the management in these situations, taking the advantage of the above mentioned mobile communication tools and networks.
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Patient safety has become a major public concern. Human factors research in other high-risk fields has demonstrated how rigorous study of factors that affect job performance can lead to improved outcome and reduced errors after evidence-based redesign of tasks or systems. These techniques have increasingly been applied to the anesthesia work environment. ⋯ A novel concept of "non-routine events" is introduced and pilot data are presented. The results support the assertion that human factors research can make important contributions to patient safety. Information technologies play a key role in these efforts.