Informal notes to support the asynchronous collaborative activities

Bricon-Souf, Nathalie; Bringay, Sandra; Hamek, Saliha; Anceaux, Françoise; Barry, Catherine; Charlet, Jean

doi:10.1016/j.ijmedinf.2007.02.006

Cited by 8 publications

(4 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The efficiency and usability will be evaluated by experiments of a real case of medical knowledge recommendation in a Chinese hospital. Note that medical knowledge exchange and recommendation among physicians is a central component to effective patient care teams as well as central aspect of the health-care delivery (Bricon-Souf et al 2007). It will bring more complex context factors from clinical settings into our consideration.…”

Section: Discussionmentioning

confidence: 99%

Context-aware recommendation using rough set model and collaborative filtering

2010

View full text Add to dashboard Cite

Context has been identified as an important factor in recommender systems. Lots of researches have been done for context-aware recommendation. However, in current approaches, the weights of contextual information are the same, which limits the accuracy of the results. This paper aims to propose a context-aware recommender system by extracting, measuring and incorporating significant contextual information in recommendation. The approach is based on rough set theory and collaborative filtering. It involves a three-steps process. At first, significant attributes to represent contextual information are extracted and measured to identify recommended items based on rough set theory. Then the users' similarity is measured in a target context consideration. Furthermore collaborative filtering is adopted to recommend appropriate items. The evaluation experiments show that the proposed approach is helpful to improve the recommendation quality.

show abstract

Section: Discussionmentioning

confidence: 99%

Context-aware recommendation using rough set model and collaborative filtering

2010

View full text Add to dashboard Cite

show abstract

“…Thus, it is missing, like other aspects of data work, 24,25 the degree of perceived validity or finalization, which is usually related to writings in pencil and side notes in paper-based records. 10,26 These brief accounts are aimed at the following point. Proponents and designers of the digitized record tend to underestimate the phenomenon of data work multiplicity, whether it is related to the ostensible inefficient and sometimes unintended routes along which data flow across the parts of the record (i.e.…”

Section: Multiplicity In Data Workmentioning

confidence: 99%

Section: Multiplicity In Data Workmentioning

confidence: 99%

“…Even isolating "direct clinical face time" 1 in single encounters would neglect the individual doctors' need to take written notes of encounters so conditions and interpretations can be recalled during future encounters 9 and, in so doing, formulate an understanding of the evolution of the patient's illness and collaborate with themselves (at least) over time. 10 Decoupling clinical and data work is even more futile in hospital work, which is cooperative by nature. For instance, physicians' prescriptions cannot be decoupled by order entry since the cooperative effort to administer a treatment to a patient needs specific data to be articulated within a record, which both mediates and enables asynchronous communication and collaboration between physicians and nurses, so as to act as the distributed and working record described by Fitzpatrick 11 and Bardram and Bossen, 12 among others, for example, by Greenhalgh et al 13 In this article, we will focus on the inscribing side of data work in the medical domain, or data recording work, and in particular on one aspect of the activities in which physicians and nurses make a textual (or anyway coded) representation of some clinically relevant aspect pertaining to the illness of a patient on either paper or an electronic medium, for any of the reasons mentioned above, usually to trigger further action, reflection, and decision-making.…”

mentioning

confidence: 99%

See 1 more Smart Citation

The elephant in the record: On the multiplicity of data recording work

Cabitza

Locoro

Alderighi

et al. 2019

Health Informatics J

View full text Add to dashboard Cite

This article focuses on the production side of clinical data work, or data recording work, and in particular, on its multiplicity in terms of data variability. We report the findings from two case studies aimed at assessing the multiplicity that can be observed when the same medical phenomenon is recorded by multiple competent experts, yet the recorded data enable the knowledgeable management of illness trajectories. Often framed in terms of the latent unreliability of medical data, and then treated as a problem to solve, we argue that practitioners in the health informatics field must gain a greater awareness of the natural variability of data inscribing work, assess it, and design solutions that allow actors on both sides of clinical data work, that is, the production and care, as well as the primary and secondary uses of data to aptly inform each other’s practices.

show abstract