TY - GEN
T1 - Intensive care unit (ICU) patient monitoring improvement using internet of things (IOT) based on BPR approach
AU - Zen, Sanyadwia Ghinasni
AU - Dachyar, M.
N1 - Publisher Copyright:
© IEOM Society International.
PY - 2021
Y1 - 2021
N2 - A small delay of the Intensive Care Unit (ICU) patient deterioration recognition can cause a permanent disability or even death. Therefore, patient monitoring is the most critical process in ICU. Human-related monitoring failures mostly cause delayed recognition of ICU patients. A higher workload in ICU leads to health professional burnout that could result in lousy healthcare quality. Internet of Things (IoT) implementation in the ICU monitoring process is expected to reduce the health workforce’s workload and patient monitoring process time. This paper aims to improve the operational process of ICU monitoring through IoT implementation with the Business Process Reengineering (BPR) approach in one of Jakarta’s private hospitals. The Complex Proportional Assessment (COPRAS) method is used to prioritize the risks of the current monitoring process to select the suitable IoT. This research proposes three business process models that utilize IoT-Based Patient Monitoring, Intelligent Monitoring Analytics, and a combination of both. A combination of IoT-Based Patient Monitoring and Intelligent Monitoring Analytics results the greatest process time reduction at 37.10%. Intelligent Monitoring Analytics results the smallest process time reduction at 11.56%.
AB - A small delay of the Intensive Care Unit (ICU) patient deterioration recognition can cause a permanent disability or even death. Therefore, patient monitoring is the most critical process in ICU. Human-related monitoring failures mostly cause delayed recognition of ICU patients. A higher workload in ICU leads to health professional burnout that could result in lousy healthcare quality. Internet of Things (IoT) implementation in the ICU monitoring process is expected to reduce the health workforce’s workload and patient monitoring process time. This paper aims to improve the operational process of ICU monitoring through IoT implementation with the Business Process Reengineering (BPR) approach in one of Jakarta’s private hospitals. The Complex Proportional Assessment (COPRAS) method is used to prioritize the risks of the current monitoring process to select the suitable IoT. This research proposes three business process models that utilize IoT-Based Patient Monitoring, Intelligent Monitoring Analytics, and a combination of both. A combination of IoT-Based Patient Monitoring and Intelligent Monitoring Analytics results the greatest process time reduction at 37.10%. Intelligent Monitoring Analytics results the smallest process time reduction at 11.56%.
KW - Business Process Reengineering (BPR)
KW - Comparative Proportional Assessment (COPRAS)
KW - Intensive Care Unit (ICU)
KW - Internet of Things (IoT)
KW - Multicriteria Decision Making (MCDM)
KW - Patient Monitoring
UR - http://www.scopus.com/inward/record.url?scp=85114254096&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85114254096
SN - 9781792361241
T3 - Proceedings of the International Conference on Industrial Engineering and Operations Management
SP - 1572
EP - 1583
BT - Proceedings of the 11th Annual International Conference on Industrial Engineering and Operations Management, 2021
PB - IEOM Society
T2 - 11th Annual International Conference on Industrial Engineering and Operations Management, IEOM 2021
Y2 - 7 March 2021 through 11 March 2021
ER -