Assisted Medication Management in Elderly Care Using Miniaturised Near-Infrared Spectroscopy (bibtex)
by Klakegg, Simon, Goncalves, Jorge, Luo, Chu, Visuri, Aku, Popov, Alexey, van Berkel, Niels, Sarsenbayeva, Zhanna, Kostakos, Vassilis, Hosio, Simo, Savage, Scott, Bykov, Alexander, Meglinski, Igor and Ferreira, Denzil
Abstract:
Near-infrared spectroscopy (NIRS) measures the light reflected from objects to infer highly detailed information about their molecular composition. Traditionally, NIRS has been an instrument reserved for laboratory usage, but recently affordable and smaller devices for NIRS have proliferated. Pairing this technology with the ubiquitous smartphone opens up a plethora of new use cases. In this paper, we explore one such use case, namely medication management in a nursing home/elderly care centre. First, we conducted a qualitative user study with nurses working in an elderly care centre to examine the protocols and workflows involved in administering medication, and the nurses' perceptions on using this technology. Based on our findings, we identify the main impact areas that would benefit from introducing miniaturised NIRS. Finally, we demonstrate via a user study in a realistic scenario that miniaturised NIRS can be effectively used for medication management when leveraging appropriate machine learning techniques. Specifically, we assess the performance of multiple pre-processing and classification algorithms for a selected set of pharmaceuticals. In addition, we compare our solution with currently used methods for pharmaceutical identification in a local care centre. We hope that our reflection on the multiple aspects associated with the introduction of this device in an elderly care setting can help both academics and practitioners working on related problems.
Reference:
S. Klakegg, J. Goncalves, C. Luo, A. Visuri, A. Popov, N. van Berkel, Z. Sarsenbayeva, V. Kostakos, S. Hosio, S. Savage, A. Bykov, I. Meglinski, D. Ferreira, "Assisted Medication Management in Elderly Care Using Miniaturised Near-Infrared Spectroscopy", in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), vol. 2, no. 2, 2018, 69:1-69:24.
Bibtex Entry:
@article{Klakegg2018MedicationNIRS,
	Abstract = {Near-infrared spectroscopy (NIRS) measures the light reflected from objects to infer highly detailed information about their molecular composition. Traditionally, NIRS has been an instrument reserved for laboratory usage, but recently affordable and smaller devices for NIRS have proliferated. Pairing this technology with the ubiquitous smartphone opens up a plethora of new use cases. In this paper, we explore one such use case, namely medication management in a nursing home/elderly care centre. First, we conducted a qualitative user study with nurses working in an elderly care centre to examine the protocols and workflows involved in administering medication, and the nurses' perceptions on using this technology. Based on our findings, we identify the main impact areas that would benefit from introducing miniaturised NIRS. Finally, we demonstrate via a user study in a realistic scenario that miniaturised NIRS can be effectively used for medication management when leveraging appropriate machine learning techniques. Specifically, we assess the performance of multiple pre-processing and classification algorithms for a selected set of pharmaceuticals. In addition, we compare our solution with currently used methods for pharmaceutical identification in a local care centre. We hope that our reflection on the multiple aspects associated with the introduction of this device in an elderly care setting can help both academics and practitioners working on related problems.},
	Author = {Klakegg, Simon and Goncalves, Jorge and Luo, Chu and Visuri, Aku and Popov, Alexey and van Berkel, Niels and Sarsenbayeva, Zhanna and Kostakos, Vassilis and Hosio, Simo and Savage, Scott and Bykov, Alexander and Meglinski, Igor and Ferreira, Denzil},
	Doi = {10.1145/3214272},
	Journal = {Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)},
	Number = {2},
	Pages = {69:1-69:24},
	Title = {Assisted Medication Management in Elderly Care Using Miniaturised Near-Infrared Spectroscopy},
	Type = {Journal Article},
	Url = {https://nielsvanberkel.com/files/publications/imwut2018b.pdf},
	Volume = {2},
	Year = {2018}}
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