29,378 research outputs found
A systematic review of speech recognition technology in health care
BACKGROUND To undertake a systematic review of existing literature relating to speech recognition technology and its application within health care. METHODS A systematic review of existing literature from 2000 was undertaken. Inclusion criteria were: all papers that referred to speech recognition (SR) in health care settings, used by health professionals (allied health, medicine, nursing, technical or support staff), with an evaluation or patient or staff outcomes. Experimental and non-experimental designs were considered. Six databases (Ebscohost including CINAHL, EMBASE, MEDLINE including the Cochrane Database of Systematic Reviews, OVID Technologies, PreMED-LINE, PsycINFO) were searched by a qualified health librarian trained in systematic review searches initially capturing 1,730 references. Fourteen studies met the inclusion criteria and were retained. RESULTS The heterogeneity of the studies made comparative analysis and synthesis of the data challenging resulting in a narrative presentation of the results. SR, although not as accurate as human transcription, does deliver reduced turnaround times for reporting and cost-effective reporting, although equivocal evidence of improved workflow processes. CONCLUSIONS SR systems have substantial benefits and should be considered in light of the cost and selection of the SR system, training requirements, length of the transcription task, potential use of macros and templates, the presence of accented voices or experienced and in-experienced typists, and workflow patterns.Funding for this study was provided by the University of Western Sydney.
NICTA is funded by the Australian Government through the Department of
Communications and the Australian Research Council through the ICT
Centre of Excellence Program. NICTA is also funded and supported by the
Australian Capital Territory, the New South Wales, Queensland and Victorian
Governments, the Australian National University, the University of New South
Wales, the University of Melbourne, the University of Queensland, the
University of Sydney, Griffith University, Queensland University of
Technology, Monash University and other university partners
Using social robots to study abnormal social development
Social robots recognize and respond to human
social cues with appropriate behaviors.
Social robots, and the technology used in their
construction, can be unique tools in the study
of abnormal social development. Autism is a
pervasive developmental disorder that is characterized
by social and communicative impairments.
Based on three years of integration
and immersion with a clinical research
group which performs more than 130 diagnostic
evaluations of children for autism per
year, this paper discusses how social robots
will make an impact on the ways in which we
diagnose, treat, and understand autism
Learning from practice: how East Lancashire hospitals' pharmacy service has embraced information technology
The ethos of the pharmacy service at East Lancashire Hospitals NHS Trust (ELHT) could be described as āletās make things betterā. We have a history of innovation involving technology and people; one without the other does not work but together they are synergistic. The Trust currently does not have an electronic patient record (ePR) or electronic prescribing and medicines administration (ePMA), although we do have electronic prescribing for chemotherapy. However, like all Trusts, we have many electronic systems which offer interoperability, or can support making it easier for the pharmacy team to do a good job. This article describes the many fronts we have worked on over the last ten plus years. Taken individually, the elements cannot be considered as revolutionary; together, they have helped us develop and deliver the safe, personal and effective pharmacy service that we call dedicated ward pharmacy
Compositional Performance Modelling with the TIPPtool
Stochastic process algebras have been proposed as compositional specification formalisms for performance models. In this paper, we describe a tool which aims at realising all beneficial aspects of compositional performance modelling, the TIPPtool. It incorporates methods for compositional specification as well as solution, based on state-of-the-art techniques, and wrapped in a user-friendly graphical front end. Apart from highlighting the general benefits of the tool, we also discuss some lessons learned during development and application of the TIPPtool. A non-trivial model of a real life communication system serves as a case study to illustrate benefits and limitations
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