Evaluating information flow in medication management process in Australian acute care facilities: A multi-professional perspective

Over the years, various interventions have been introduced to improve the medication management process. While these interventions have addressed some aspects predisposing the process to inefficiencies, significant gaps are still prevalent across the process. Studies have suggested that the goal of optimal medication therapy is achievable when information flow integrates across the various medication management process phases, stakeholders and departments involved as the patient moves through the process. To provide a cross-sectional view of the process, this study utilised a systemic philosophy to evaluate the information flow integration across the process. The research approach adopted for this study takes a positivist paradigm, which is guided by the cause and effect (causality) belief. It explored numeric measures to evaluate the relationship between constructs that assessed information flow principles (accessibility, timeliness, granularity and transparency) within the medication process and the information integration. The research design was cross-sectional and analytical, and this ensures that findings are relevant to current situations across the Australian healthcare system. Data for this research was collected using an online self-administered survey and the data assessed information flow principles and technologies used in the medication management process. There were 88 participants in this study, including doctors, nurses and pharmacists. The questions and responses were coded for analysis and data analysis techniques used were frequency analysis, Pearson’s chi-square test and multivariate analysis. Findings from this study indicates that the constructs evaluating accessibility, transparency and granularity had moderate associations with the information integration in the medication management process. Further analysis highlighted accessibility as a significant principle in explaining an increase or decrease in information integration in the medication management process. The accessibility construct referring to information retrieval was significant across the two tests conducted. Accessibility is directly related to information sharing and the assessment and monitoring and evaluation phases in the medication management process were identified as having the highest challenges with information sharing. Furthermore, the hybrid (electronic and paper) channel was preferred to support information integration in the medication management process by the participants. Among the technologies evaluated for the medication process, computer-provider-order-entry was found to be statistically significant in explaining an increase in information integration. Overall, results from this study suggest that interventions for the medication management process in Australian acute care facilities should be directed towards improving accessibility, specifically information retrieval and the sharing of information with emphasis on the assessment and monitoring phases. Implementing strategies to address the gaps identified from this research can improve information integration across the process and thereby reducing medication errors, and improving patient care management. Furthermore, the technology adoption across the process highlights that technology adoption across participants’ facilities remains a challenge in Australia

The Knowledge Level in Cognitive Architectures: Current Limitations and Possible Developments

In this paper we identify and characterize an analysis of two problematic aspects affecting the representational level of cognitive architectures (CAs), namely: the limited size and the homogeneous typology of the encoded and processed knowledge. We argue that such aspects may constitute not only a technological problem that, in our opinion, should be addressed in order to build articial agents able to exhibit intelligent behaviours in general scenarios, but also an epistemological one, since they limit the plausibility of the comparison of the CAs' knowledge representation and processing mechanisms with those executed by humans in their everyday activities. In the final part of the paper further directions of research will be explored, trying to address current limitations and future challenges

Retrieval-induced forgetting as motivated cognition

Recalling information from a particular category can reduce one's memory capability for related, non-retrieved information. This is known as the retrieval-induced forgetting effect (RIF; Anderson et al., 1994). The present paper reviews studies that show that the RIF effect is motivated. More specifically, we describe research showing that the need for closure (NFC; the motivation to attain epistemic certainty; Kruglanski and Webster, 1996) generally enhances the RIF, because this prevents uncertainty and confusion from the intrusion of unwanted memories during selective-retrieval. However, when the content of the to-be-forgotten information serves the retriever's goals, NFC reduces RIF. Overall, the present findings are consistent with the view that motivation can affect the magnitude of RIF effects which, in turn, can serve as a mechanism for reaching preferred conclusion

Rhetorical relations for information retrieval

Typically, every part in most coherent text has some plausible reason for its presence, some function that it performs to the overall semantics of the text. Rhetorical relations, e.g. contrast, cause, explanation, describe how the parts of a text are linked to each other. Knowledge about this socalled discourse structure has been applied successfully to several natural language processing tasks. This work studies the use of rhetorical relations for Information Retrieval (IR): Is there a correlation between certain rhetorical relations and retrieval performance? Can knowledge about a document's rhetorical relations be useful to IR? We present a language model modification that considers rhetorical relations when estimating the relevance of a document to a query. Empirical evaluation of different versions of our model on TREC settings shows that certain rhetorical relations can benefit retrieval effectiveness notably (> 10% in mean average precision over a state-of-the-art baseline)

Neural fuzzy repair : integrating fuzzy matches into neural machine translation

We present a simple yet powerful data augmentation method for boosting Neural Machine Translation (NMT) performance by leveraging information retrieved from a Translation Memory (TM). We propose and test two methods for augmenting NMT training data with fuzzy TM matches. Tests on the DGT-TM data set for two language pairs show consistent and substantial improvements over a range of baseline systems. The results suggest that this method is promising for any translation environment in which a sizeable TM is available and a certain amount of repetition across translations is to be expected, especially considering its ease of implementation