Studies in health technology and informatics
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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
Understanding how clinical judgement and communicative practices interact with the use of an electronic clinical handover system.
Clinical handover is a high risk scenario involving the transfer of information, responsibility and accountability for patient care. Many strategies have been proposed to improve clinical handover and reduce risks it can pose to the safety and quality of patient care. ⋯ This research examines these issues based on evidence generated from a user-centred approach involving clinicians in the development and implementation of an electronic clinical handover system. The paper highlights how clinical judgements and communicative practices interact with an electronic clinical handover system, and discusses their potential implications for patient safety as part of a broader clinical handover improvement project.
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Stud Health Technol Inform · Jan 2013
Anonymizing patient genomic data for public sharing association studies.
The development of personalized medicine is tightly linked with the correct exploitation of molecular data, especially those associated with the genome sequence along with these use of genomic data there is an increasing demand to share these data for research purposes. Transition of clinical data to research is based in the anonymization of these data so the patient cannot be identified, the use of genomic data poses a great challenge because its nature of identifying data. In this work we have analyzed current methods for genome anonymization and propose a one way encryption method that may enable the process of genomic data sharing accessing only to certain regions of genomes for research purposes.
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Stud Health Technol Inform · Jan 2013
Video segmentation of moving humans for assistive environments.
In this paper, we present two recently proposed efficient methods for human segmentation from video in indoor environments: the illumination sensitive background method and the self-organizing background subtraction (SOBS) method. Both methods maintain multiple background models. ⋯ The video data are acquired indoors from a fixed fish-eye camera in the living environment. The paper presents the algorithmic implementation and modifications details, while results are also presented for a small number of video sequences.
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Stud Health Technol Inform · Jan 2013
International priorities for research in nursing informatics for patient care.
The Nursing Informatics International Research Network (NIIRN) is a group of experts who are collaborating on the development of internationally relevant research programs for nursing informatics. In this paper we outline key findings of a survey exploring international research priorities for nursing informatics. The survey was available online during May-August 2012. ⋯ The two most highly ranked areas of importance for research were development of systems to provide real time feedback to nurses and assessment of the impact of HIT on nursing care and patient outcomes. The lowest ranked research topics were theory development and integrating genomic data into clinical information systems. The identification of these priorities provides a basis for future international collaborative research in the field of nursing informatics.