Objective: Clinicians' attention is a precious resource, which in the current healthcare practice is consumed by the cognitive demands arising from complex patient conditions, information overload, time pressure, and the need to aggregate and synthesize information from disparate sources. The ability to organize information in ways that facilitate the generation of effective diagnostic solutions is a distinguishing characteristic of expert physicians, suggesting that automated systems that organize clinical information in a similar manner may augment physicians' decision-making capabilities. In this paper, we describe the design and evaluation of a theoretically driven cognitive support system (CSS) that assists psychiatrists in their interpretation of clinical cases. The system highlights, and provides the means to navigate to, text that is organized in accordance with a set of diagnostically and therapeutically meaningful higher-level concepts.
Methods And Materials: To evaluate the interface, 16 psychiatry residents interpreted two clinical case scenarios, with and without the CSS. Think-aloud protocols captured during their interpretation of the cases were transcribed and analyzed qualitatively. In addition, the frequency and relative position of content related to key higher-level concepts in a verbal summary of the case were evaluated. In addition the transcripts from both groups were compared to an expert derived reference standard using latent semantic analysis (LSA).
Results: Qualitative analysis showed that users of the system better attended to specific clinically important aspects of both cases when these were highlighted by the system, and revealed ways in which the system mediates hypotheses generation and evaluation. Analysis of the summary data showed differences in emphasis with and without the system. The LSA analysis suggested users of the system were more "expert-like" in their emphasis, and that cognitive support was more effective in the more complex case.
Conclusions: Cognitive support impacts upon clinical comprehension. This appears to be largely helpful, but may also lead to neglect of information (such as the psychosocial history) that the system does not highlight. The results have implications for the design of CSSs for clinical narratives including the role of information organization and textual embellishments for more efficient clinical case presentation and comprehension.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4253554 | PMC |
http://dx.doi.org/10.1016/j.artmed.2014.08.002 | DOI Listing |
J Affect Disord
January 2025
Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA; Department of Medicine, Duke University, Durham, NC, USA; Duke Institute of Brain Sciences, Duke University, Durham, NC, USA. Electronic address:
Metabolomics provides powerful tools that can inform about heterogeneity in disease and response to treatments. In this exploratory study, we employed an electrochemistry-based targeted metabolomics platform to assess the metabolic effects of three randomly-assigned treatments: escitalopram, duloxetine, and Cognitive-Behavioral Therapy (CBT) in 163 treatment-naïve outpatients with major depressive disorder. Serum samples from baseline and 12 weeks post-treatment were analyzed using targeted liquid chromatography-electrochemistry for metabolites related to tryptophan, tyrosine metabolism and related pathways.
View Article and Find Full Text PDFJ Affect Disord
January 2025
Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada. Electronic address:
Background And Objective: To determine whether there is disproportionate reporting of hepatobiliary disorders in the United States (US) FDA Adverse Event Reporting System (FAERS) for individuals prescribed ketamine or esketamine.
Design: We identified Medical Dictionary for Regulatory Activities (MedDRA) terms in the FAERS related to hepatobiliary disorders.
Main Measures: Formulations of ketamine and esketamine were evaluated for the proportionality of reporting for each hepatobiliary disorder parameter using the reporting odds ratio (ROR).
Exp Gerontol
January 2025
Shanghai anti-doping Laboratory, Shanghai University of Sport, Shanghai 200438, China; Department of Rheumatology and Immunology, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200240, China. Electronic address:
Aging is a complex biological process characterized by increased inflammation and susceptibility to various age-related diseases, including cognitive decline, osteoporosis, and type 2 diabetes. Exercise has been shown to modulate mitochondrial function, immune responses, and inflammatory pathways, thereby attenuating aging through the regulation of exerkines secreted by diverse tissues and organs. These bioactive molecules, which include hepatokines, myokines, adipokines, osteokines, and neurokines, act both locally and systemically to exert protective effects against the detrimental aspects of aging.
View Article and Find Full Text PDFJ Psychiatr Res
January 2025
Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen university, 510080, Guangzhou, China; Guangdong Engineering Technology Research Center of Nutrition Translation, 510080, Guangzhou, China. Electronic address:
The association between childhood trauma (CT), stressful life events (SLE) and the onset and severity of major depressive disorder (MDD) has not been extensively studied. This study aimed to investigate the separate and combined association of CT and SLE with the onset and severity of MDD. A total of 503 patients with MDD and 503 controls were included.
View Article and Find Full Text PDFCogn Psychol
January 2025
State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, China; Chinese Institute for Brain Research, China. Electronic address:
Episodic memories, particularly temporal order memory, are influenced by event boundaries. Although numerous theoretical and computational models have been developed to explain this phenomenon, creating a model that can explain a wide range of behavioral data and is supported by neural evidence remains a significant challenge. This study presented a new model, grounded in ample evidence of position coding, to account for the impact of event boundaries on temporal order memory.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!