Abstract | ||
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Exposure to a large volume of alerts generated by medical Alert Generating Systems (AGS) such as drug-drug interaction softwares or clinical decision support systems overwhelms users and causes alert fatigue in them. Some of alert fatigue effects are ignoring crucial alerts and longer response times. A common approach to avoid alert fatigue is to devise mechanisms in AGS to stop them from generating alerts that are deemed irrelevant. In this paper, we present a novel framework called INITIATE: an INtellIgent adapTIve AlerT Environment to avoid alert fatigue by managing alerts generated by one or more AGS. We have identified and categories the lifecycle of different alerts and have developed alert management logic as per the alerts' lifecycle. Our framework incorporates an ontology that represents the alert management strategy and an alert management engine that executes this strategy. Our alert management framework offers the following features: (1) Adaptability based on users' feedback; (2) Personalization and aggregation of messages; and (3) Connection to Electronic Medical Records by implementing a HL7 Clinical Document Architecture parser. |
Year | DOI | Venue |
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2015 | 10.3233/978-1-61499-564-7-285 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
Alert Fatigue,Alert Management Engine,Alert Management Strategy,Semantic Web,HL7-CDA | Ontology,Data mining,Clinical decision support system,Medicine,Alert management,Clinical Document Architecture,Personalization | Conference |
Volume | ISSN | Citations |
216 | 0926-9630 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Borna Jafarpour | 1 | 24 | 3.77 |
Samina Raza Abidi | 2 | 128 | 22.99 |
Ahmad Marwan Ahmad | 3 | 10 | 1.30 |
Syed Sibte Raza Abidi | 4 | 106 | 14.96 |