title: HDLalert - a healthcare DL alerting system: from user needs to implementation.
abstract: In the health domain, there are many circumstances where clinicians (i.e. doctors, nurses, allied health professionals) and patients wish to track changes in medical knowledge. However, existing 'news' or 'alert' services provide relatively limited means for selecting which information to receive. The result is that clinicians and patients often receive information that is inappropriate, irrelevant or simply too much. In this paper, we detail alert-relevant findings from several international user studies (e.g. UK, Germany and New Zealand) incorporating both clinical staff (across several hospitals) and patients' perceptions. These findings demonstrate the importance of context, in terms of both the user's task and immediate environment. We introduce a novel alerting architecture that can provide a finely tailored stream of alerts to the user, and provides further support to assist the interpretation of received material.
authors.affiliation: Department of Computer Science, University of Waikato PB 3105, Hamilton, New Zealand. a.hinze@cs.waikato.ac.nz
authors.forename: Annika
authors.initials: A
authors.lastname: Hinze
authors.forename: George
authors.initials: G
authors.lastname: Buchanan
authors.forename: Doris
authors.initials: D
authors.lastname: Jung
authors.forename: Anne
authors.initials: A
authors.lastname: Adams
mesh_terms: D003258:Consumer Behavior; D017144:Focus Groups; D005858:Germany; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D007256:Information Systems / Q000458:organization & administration*; D007407:Interviews as Topic; D046609:Libraries, Digital; D008490:Medical Informatics; D009520:New Zealand; D006113:United Kingdom