DBOS: A Dialog-Based Object Query System for Hospital Nurses
In: Sensors, Vol 20, Iss 6639, p 6639 (2020, Jg. 20 (2020), Heft 6639, p 6639
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Zugriff:
Due to the advance of indoor positioning technology, it is now possible to trace mobile medical equipment (such as electrocardiography machines, patient monitors, and so on) being moved around a hospital ward. With the support of an object tracking system, nurses can easily locate and find a device, especially when they prepare for a shift change or a medical treatment. As nurses usually face high workloads, it is highly desirable to provide nurses with a user-friendly search interface integrated into a popular mobile app that they use daily. For this, DBOS, a dialog-based object query system, is proposed, which simulates a real conversation with users via the Line messaging app’s chatbot interface. A hybrid method that combines cosine similarity (CS) and term frequency–inverse document frequency (TF-IDF) is used to determine user intent. The result is returned to the user through Line’s interface. To evaluate the applicability of DBOS, 70 search queries given by a head nurse were tested. DBOS was compared with CS, TF-IDF, and Facebook Wit.ai respectively. The experiment results show that DBOS outperforms the abovementioned methods and can achieve a 92.8% accuracy in identifying user intent.
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DBOS: A Dialog-Based Object Query System for Hospital Nurses
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Autor/in / Beteiligte Person: | Edward T.-H. Chu ; Huang, Zi-Zhe |
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Zeitschrift: | Sensors, Vol 20, Iss 6639, p 6639 (2020, Jg. 20 (2020), Heft 6639, p 6639 |
Veröffentlichung: | MDPI AG, 2020 |
Medientyp: | academicJournal |
ISSN: | 1424-8220 (print) |
DOI: | 10.3390/s20226639 |
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