Search results for "Clinical Decision Support Systems"
showing 3 items of 3 documents
Randomized pilot study and qualitative evaluation of a clinical decision support system for brain tumour diagnosis based on SV 1H MRS: Evaluation as …
2014
The results of a randomized pilot study and qualitative evaluation of the clinical decision support system Curiam BT are reported. We evaluated the system's feasibility and potential value as a radiological information procedure complementary to magnetic resonance (MR) imaging to assist novice radiologists in diagnosing brain tumours using MR spectroscopy (1.5 and 3.0T). Fifty-five cases were analysed at three hospitals according to four non-exclusive diagnostic questions. Our results show that Curiam BT improved the diagnostic accuracy in all the four questions. Additionally, we discuss the findings of the users' feedback about the system, and the further work to optimize it for real envir…
Overvåking av vitale parametere i sykehus : En sammenligning av manuelle og elektroniske overvåkingssystemer
2018
Masteroppgave i helse- og sosialinformatikk HSI500 - Universitetet i Agder 2018 Adverse events can be avoided by timely recognition of derangements in vital signs. Sørlandet Hospital HF (SSHF) has implemented an Early Warning Score System named "TILT"; 2Early identification of life-threatening conditions”. In 2017 SSHF started a project that tested wireless sensors for continuous monitoring of vital signs on wards. Patients were monitored by sensors and vital signs were also measured by traditional means during the project period. The aim of this study was to examine compliance with the vital signs monitoring protocol, and to examine the benefits of an electronic system. The following quest…
Psychiatrists' Attitudes Toward Disruptive New Technologies: Mixed-Methods Study
2018
Background Recent discoveries in the fields of machine learning (ML), Ecological Momentary Assessment (EMA), computerized adaptive testing (CAT), digital phenotype, imaging, and biomarkers have brought about a new paradigm shift in medicine. Objective The aim of this study was to explore psychiatrists’ perspectives on this paradigm through the prism of new clinical decision support systems (CDSSs). Our primary objective was to assess the acceptability of these new technologies. Our secondary objective was to characterize the factors affecting their acceptability. Methods A sample of psychiatrists was recruited through a mailing list. Respondents completed a Web-based survey. A quantitative…