Development of Selection Method for Additional Devices to Supporting Active Monitoring of Healthcare Asset

Sinung Suakanto; Edi Nuryatno; Alfi Zahra Hafizhah; Widyatasya Nurtrisha; Tunggul Nugroho; Farhan Wahyudin

doi:10.1109/ICADEIS58666.2023.10270841

Development of Selection Method for Additional Devices to Supporting Active Monitoring of Healthcare Asset

Sinung Suakanto, Edi Nuryatno, Alfi Zahra Hafizhah, Widyatasya Nurtrisha, Tunggul Nugroho, Farhan Wahyudin

UWA Centre for Medical Research (affiliated with the Harry Perkins Institute of Medical Research)

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

1 Citation (Scopus)

Abstract

Asset monitoring is one of the important things in asset management. Monitoring techniques can be done passively or actively. Whereas, active monitoring will push information automatically, where information comes directly from assets. In order to support this technique, it requires additional devices. Basically, not all assets, especially in healthcare, need to use active monitoring. This paper proposes a method for selecting which assets should be deemed necessary to obtain active monitoring. The technique used is asset classification weighted score with some defined parameter. The results of this study have been tested on a sample of around 135 types of assets on healthcare. Based on this method implementation, it can be selected that only about 48 types of assets need to use active monitoring. In the final step, the selection of the appropriate technology for active monitoring is continued.

Original language	English
Title of host publication	2023 International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS)
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	205-212
Number of pages	8
ISBN (Electronic)	979-8-3503-0341-4
ISBN (Print)	979-8-3503-0342-1
DOIs	https://doi.org/10.1109/ICADEIS58666.2023.10270841
Publication status	Published - Oct 2023
Event	The Fifth International Conference on Advancement in Data Science, E-learning and Information System 2023 (ICADEIS 2023) - Holiday Resort Lombok, Jln. Raya Senggigi, Senggigi, Nusa Tenggara Barat, 83355, Indonesia, Lombok, Indonesia Duration: 2 Aug 2023 → 3 Aug 2023 https://icadeis.com/

Publication series

Name	ICADEIS 2023 - International Conference on Advancement in Data Science, E-Learning and Information Systems: Data, Intelligent Systems, and the Applications for Human Life, Proceeding

Conference

Conference	The Fifth International Conference on Advancement in Data Science, E-learning and Information System 2023 (ICADEIS 2023)
Abbreviated title	ICADEIS 2023
Country/Territory	Indonesia
City	Lombok
Period	2/08/23 → 3/08/23
Internet address	https://icadeis.com/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICADEIS58666.2023.10270841

Cite this

Suakanto, S., Nuryatno, E., Hafizhah, A. Z., Nurtrisha, W., Nugroho, T., & Wahyudin, F. (2023). Development of Selection Method for Additional Devices to Supporting Active Monitoring of Healthcare Asset. In 2023 International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS) (pp. 205-212). (ICADEIS 2023 - International Conference on Advancement in Data Science, E-Learning and Information Systems: Data, Intelligent Systems, and the Applications for Human Life, Proceeding). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICADEIS58666.2023.10270841

Suakanto, Sinung ; Nuryatno, Edi ; Hafizhah, Alfi Zahra et al. / Development of Selection Method for Additional Devices to Supporting Active Monitoring of Healthcare Asset. 2023 International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS). IEEE, Institute of Electrical and Electronics Engineers, 2023. pp. 205-212 (ICADEIS 2023 - International Conference on Advancement in Data Science, E-Learning and Information Systems: Data, Intelligent Systems, and the Applications for Human Life, Proceeding).

@inproceedings{180cda26bd0e478ea4414a7dd5402e16,

title = "Development of Selection Method for Additional Devices to Supporting Active Monitoring of Healthcare Asset",

abstract = "Asset monitoring is one of the important things in asset management. Monitoring techniques can be done passively or actively. Whereas, active monitoring will push information automatically, where information comes directly from assets. In order to support this technique, it requires additional devices. Basically, not all assets, especially in healthcare, need to use active monitoring. This paper proposes a method for selecting which assets should be deemed necessary to obtain active monitoring. The technique used is asset classification weighted score with some defined parameter. The results of this study have been tested on a sample of around 135 types of assets on healthcare. Based on this method implementation, it can be selected that only about 48 types of assets need to use active monitoring. In the final step, the selection of the appropriate technology for active monitoring is continued.",

keywords = "active monitoring, device monitoring, selection method, weighted score",

author = "Sinung Suakanto and Edi Nuryatno and Hafizhah, {Alfi Zahra} and Widyatasya Nurtrisha and Tunggul Nugroho and Farhan Wahyudin",

year = "2023",

month = oct,

doi = "10.1109/ICADEIS58666.2023.10270841",

language = "English",

isbn = "979-8-3503-0342-1",

series = "ICADEIS 2023 - International Conference on Advancement in Data Science, E-Learning and Information Systems: Data, Intelligent Systems, and the Applications for Human Life, Proceeding",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

pages = "205--212",

booktitle = "2023 International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS)",

address = "United States",

note = "The Fifth International Conference on Advancement in Data Science, E-learning and Information System 2023 (ICADEIS 2023), ICADEIS 2023 ; Conference date: 02-08-2023 Through 03-08-2023",

url = "https://icadeis.com/",

}

Suakanto, S, Nuryatno, E, Hafizhah, AZ, Nurtrisha, W, Nugroho, T & Wahyudin, F 2023, Development of Selection Method for Additional Devices to Supporting Active Monitoring of Healthcare Asset. in 2023 International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS). ICADEIS 2023 - International Conference on Advancement in Data Science, E-Learning and Information Systems: Data, Intelligent Systems, and the Applications for Human Life, Proceeding, IEEE, Institute of Electrical and Electronics Engineers, pp. 205-212, The Fifth International Conference on Advancement in Data Science, E-learning and Information System 2023 (ICADEIS 2023), Lombok, Indonesia, 2/08/23. https://doi.org/10.1109/ICADEIS58666.2023.10270841

Development of Selection Method for Additional Devices to Supporting Active Monitoring of Healthcare Asset. / Suakanto, Sinung; Nuryatno, Edi; Hafizhah, Alfi Zahra et al.
2023 International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS). IEEE, Institute of Electrical and Electronics Engineers, 2023. p. 205-212 (ICADEIS 2023 - International Conference on Advancement in Data Science, E-Learning and Information Systems: Data, Intelligent Systems, and the Applications for Human Life, Proceeding).

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

TY - GEN

T1 - Development of Selection Method for Additional Devices to Supporting Active Monitoring of Healthcare Asset

AU - Suakanto, Sinung

AU - Nuryatno, Edi

AU - Hafizhah, Alfi Zahra

AU - Nurtrisha, Widyatasya

AU - Nugroho, Tunggul

AU - Wahyudin, Farhan

PY - 2023/10

Y1 - 2023/10

N2 - Asset monitoring is one of the important things in asset management. Monitoring techniques can be done passively or actively. Whereas, active monitoring will push information automatically, where information comes directly from assets. In order to support this technique, it requires additional devices. Basically, not all assets, especially in healthcare, need to use active monitoring. This paper proposes a method for selecting which assets should be deemed necessary to obtain active monitoring. The technique used is asset classification weighted score with some defined parameter. The results of this study have been tested on a sample of around 135 types of assets on healthcare. Based on this method implementation, it can be selected that only about 48 types of assets need to use active monitoring. In the final step, the selection of the appropriate technology for active monitoring is continued.

AB - Asset monitoring is one of the important things in asset management. Monitoring techniques can be done passively or actively. Whereas, active monitoring will push information automatically, where information comes directly from assets. In order to support this technique, it requires additional devices. Basically, not all assets, especially in healthcare, need to use active monitoring. This paper proposes a method for selecting which assets should be deemed necessary to obtain active monitoring. The technique used is asset classification weighted score with some defined parameter. The results of this study have been tested on a sample of around 135 types of assets on healthcare. Based on this method implementation, it can be selected that only about 48 types of assets need to use active monitoring. In the final step, the selection of the appropriate technology for active monitoring is continued.

KW - active monitoring

KW - device monitoring

KW - selection method

KW - weighted score

UR - https://icadeis.com/submission/

UR - https://ieeexplore.ieee.org/document/10270841

UR - https://ieeexplore.ieee.org/xpl/conhome/10269799/proceeding

U2 - 10.1109/ICADEIS58666.2023.10270841

DO - 10.1109/ICADEIS58666.2023.10270841

M3 - Conference paper

SN - 979-8-3503-0342-1

T3 - ICADEIS 2023 - International Conference on Advancement in Data Science, E-Learning and Information Systems: Data, Intelligent Systems, and the Applications for Human Life, Proceeding

SP - 205

EP - 212

BT - 2023 International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS)

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - The Fifth International Conference on Advancement in Data Science, E-learning and Information System 2023 (ICADEIS 2023)

Y2 - 2 August 2023 through 3 August 2023

ER -

Suakanto S, Nuryatno E, Hafizhah AZ, Nurtrisha W, Nugroho T, Wahyudin F. Development of Selection Method for Additional Devices to Supporting Active Monitoring of Healthcare Asset. In 2023 International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS). IEEE, Institute of Electrical and Electronics Engineers. 2023. p. 205-212. (ICADEIS 2023 - International Conference on Advancement in Data Science, E-Learning and Information Systems: Data, Intelligent Systems, and the Applications for Human Life, Proceeding). doi: 10.1109/ICADEIS58666.2023.10270841

Development of Selection Method for Additional Devices to Supporting Active Monitoring of Healthcare Asset

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this