An exploration of the needs and goals of the health professional and patient in a medical consultation

This Study is the first phase of a three-phase study continuing over three years. Twent)' health professionals from different disciplinary backgrounds (medical doctors, nurses, allied health professionals) and 20 patients across a range of medical condidons, education, gender, and socio-economic backgrounds, pardcipated in one-on-one semi-structured interviews. Participants described their experiences and percepdons of both effecdve and sadsfying medical consultations and dissadsf)'ing and ineffecdve ones. They also discussed their individual goals and needs in the consultation process. Results indicated that while there were some similarides in consultation goals and needs between health professionals, there were also clear differences across the different discipUnes. In addition, there were clear differences in goals and needs across the twenty padents. These findings are discussed within the framework of communicadon accommodadon theor}' (CAT) and the linguisdc model of padent pardcipadon (LMOPP) and focus on understanding the different dynamics that underpin varying health professional and padent interacdons.

Document re-ranking by generality in bio-medical information retrieval

Document ranking is an important process in information retrieval (IR). It presents retrieved documents in an order of their estimated degrees of relevance to query. Traditional document ranking methods are mostly based on the similarity computations between documents and query. In this paper we argue that the similarity-based document ranking is insufficient in some cases. There are two reasons. Firstly it is about the increased information variety. There are far too many different types documents available now for user to search. The second is about the users variety. In many cases user may want to retrieve documents that are not only similar but also general or broad regarding a certain topic. This is particularly the case in some domains such as bio-medical IR. In this paper we propose a novel approach to re-rank the retrieved documents by incorporating the similarity with their generality. By an ontology-based analysis on the semantic cohesion of text, document generality can be quantified. The retrieved documents are then re-ranked by their combined scores of similarity and the closeness of documents’ generality to the query’s. Our experiments have shown an encouraging performance on a large bio-medical document collection, OHSUMED, containing 348,566 medical journal references and 101 test queries.

Testing new alarms for medical electrical equipment

This paper reports the first of several tests of new auditory alarms originally proposed by Block et al. [1] and formalized in IEC 60601-1-8 for use in medical electrical equipment. We test whether participants who are supplied with the IEC-recommended mnemonics while learning label-alarm associations can more accurately identify the alarms after short periods of learning. Results for 18 participants strongly indicate that there is a mutual confusability between certain alarm pairs in both learning conditions, but that mnemonics may strengthen rather than diminish certain key confusions.