Studies in health technology and informatics
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Stud Health Technol Inform · Jan 2013
Nursing critical patient severity classification system predicts outcomes in patients admitted to surgical intensive care units: use of data from clinical data repository.
To examine the Critical Patient Severity Classification System (CPSCS) recorded by nurses to predict ICU and hospital lengths of stay and mortality, data were drawn from patients admitted to 2 surgical intensive care units (SICUs) at a university hospital in Seoul, South Korea in 2010. This retrospective study used a large data set retrieved from the Clinical Data Repository System. ⋯ The CPSCS was a statistically significant predictor of ICU and hospital LOS and mortality when patients' demographic characteristics were adjusted. In the era of emphasis on using big data, analysis of nursing assessment data should be evaluated to show importance of nursing contribution to predict patients' clinical outcomes.
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Stud Health Technol Inform · Jan 2013
Traumatic brain injury rehabilitation: analysis of common data elements.
Physical medicine rehabilitation interventions for post-acute traumatic brain injury (TBI) are heterogeneous and subject to differences based on multi-disciplinary treatment plans [1]. There is no universal knowledge representation (KR) model for TBI rehabilitation which impedes data collection, aggregation, computation, and sharing. This paper describes results of an analysis of the National Institute for Neurological Disorders and Stroke (NINDS) TBI "Common Data Elements" (CDE) clinical data standardization set. ⋯ A content coverage study was performed on the "Treatment/Intervention" sub-set of CDEs. Results show that coverage of the CDEs is broad but lacks depth to represent the context of data collection in the TBI rehabilitation process. Next steps will be development of a KR model and identification and validation of domain concepts for a foundational ontology.
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Stud Health Technol Inform · Jan 2013
Development of an early detection and monitoring system for deteriorating patients.
A number of methods of preventing cardiopulmonary arrest are currently in use. One such method is the alert response system developed by Seoul National University Children's Hospital, which is an early detection and monitoring system for deteriorating patients who are at risk of cardiopulmonary arrest. This system offers an effective means of detecting early warning signs and monitoring deteriorating patients, and its application can reduce rates of cardiopulmonary arrest.
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Stud Health Technol Inform · Jan 2013
Observational StudyEfficiency strategies for facilitating computerized clinical documentation in ambulatory care.
Most providers have experienced increased documentation demands with the use of electronic health records (EHRs). We sought to identify efficiency strategies that providers use to complete clinical documentation tasks in ambulatory care. Two observers performed ethnographic observations and interviews with 22 ambulatory care providers in a U. ⋯ Findings included: the use of paper artifacts for handwritten notations; electronic templates for automation of certain parts of the note; use of shorthand and phrases rather than narrative writing; copying and pasting from previous EHR notes; directly entering information into the EHR note during the patient encounter; reliance on memory; and pre-populating an EHR note prior to seeing the patient. We discuss the findings in the context of distributed cognition to understand how clinical information is propagated and represented toward completion of a progress note. The study findings have important implications for improving and streamlining clinical documentation related to human factors workload management strategies.
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Population ageing is the demographic process that characterises the first half of the twenty-first century. Australia's population is already ageing and the states and territories are ageing at different rates. ⋯ In this paper we discuss how a spatially informed health information management system could support population ageing and the disconnected systems that address ageing. We illustrate this with examples from our work to show how spatial informatics can advance our understanding of and response to the implications of population ageing.