Reducing search times and entropy in hospital emergency departments with real-time location systems
Pendrill, Leslie ; Espinoza, Andreas ; Wadman, Johan ; Nilsask, Fredrik LU ; Wretborn, Jens LU ; Ekelund, Ulf LU
and Pahlm, Ulrika
LU
(2021)
In IISE Transactions on Healthcare Systems Engineering
11(4).
p.305-315
- Abstract
Although the consequences of hospital ED crowding have been studied extensively, the causes of crowding are still not well understood. Throughput factors in ED crowding models are difficult to study in a controlled fashion in a dynamic environment where healthcare demand changes rapidly, and physical and human resources suddenly become limited. Opportunities for automated, simultaneous, and low-cost observation of the location and movement of multiple units, patients and staff have recently arisen with the introduction of small, non-intrusive real-time location systems (RTLS). One such RTLS deployment reported here has initiated renewed consideration of quality and industrial statistics as applied to healthcare operations management.... (More)
Although the consequences of hospital ED crowding have been studied extensively, the causes of crowding are still not well understood. Throughput factors in ED crowding models are difficult to study in a controlled fashion in a dynamic environment where healthcare demand changes rapidly, and physical and human resources suddenly become limited. Opportunities for automated, simultaneous, and low-cost observation of the location and movement of multiple units, patients and staff have recently arisen with the introduction of small, non-intrusive real-time location systems (RTLS). One such RTLS deployment reported here has initiated renewed consideration of quality and industrial statistics as applied to healthcare operations management. Novel metrics for essential constructs of throughput factors in ED crowding such as efficiency and effectiveness are proposed. In particular, causality is explained in terms of understanding of each construct, modeled in terms of entropy, information, and order. Experimental demonstration is given of how labor reduction and the probability of patients, personnel and equipment meeting in terms of less uncertainty can be explained. These novel metrics are expected to facilitate monitoring of how an ED reacts to different levels of crowding, provide insight into crowding dynamics, help evaluate interventions to decrease crowding, and ultimately improve care.
(Less)
- author
- Pendrill, Leslie
; Espinoza, Andreas
; Wadman, Johan
; Nilsask, Fredrik
LU
; Wretborn, Jens
LU
; Ekelund, Ulf
LU
and Pahlm, Ulrika
LU
- organization
- publishing date
- 2021-04
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Emergency department, healthcare management, patient flow, process improvement
- in
- IISE Transactions on Healthcare Systems Engineering
- volume
- 11
- issue
- 4
- pages
- 305 - 315
- publisher
- Taylor & Francis
- external identifiers
-
- scopus:85104421523
- ISSN
- 2472-5579
- DOI
- 10.1080/24725579.2021.1881660
- language
- English
- LU publication?
- yes
- id
- f5d90e65-c531-4536-b4f8-2a9ba9d0667e
- date added to LUP
- 2021-05-03 18:25:50
- date last changed
- 2024-02-20 04:20:17
@article{f5d90e65-c531-4536-b4f8-2a9ba9d0667e,
abstract = {{<p>Although the consequences of hospital ED crowding have been studied extensively, the causes of crowding are still not well understood. Throughput factors in ED crowding models are difficult to study in a controlled fashion in a dynamic environment where healthcare demand changes rapidly, and physical and human resources suddenly become limited. Opportunities for automated, simultaneous, and low-cost observation of the location and movement of multiple units, patients and staff have recently arisen with the introduction of small, non-intrusive real-time location systems (RTLS). One such RTLS deployment reported here has initiated renewed consideration of quality and industrial statistics as applied to healthcare operations management. Novel metrics for essential constructs of throughput factors in ED crowding such as efficiency and effectiveness are proposed. In particular, causality is explained in terms of understanding of each construct, modeled in terms of entropy, information, and order. Experimental demonstration is given of how labor reduction and the probability of patients, personnel and equipment meeting in terms of less uncertainty can be explained. These novel metrics are expected to facilitate monitoring of how an ED reacts to different levels of crowding, provide insight into crowding dynamics, help evaluate interventions to decrease crowding, and ultimately improve care.</p>}},
author = {{Pendrill, Leslie and Espinoza, Andreas and Wadman, Johan and Nilsask, Fredrik and Wretborn, Jens and Ekelund, Ulf and Pahlm, Ulrika}},
issn = {{2472-5579}},
keywords = {{Emergency department; healthcare management; patient flow; process improvement}},
language = {{eng}},
number = {{4}},
pages = {{305--315}},
publisher = {{Taylor & Francis}},
series = {{IISE Transactions on Healthcare Systems Engineering}},
title = {{Reducing search times and entropy in hospital emergency departments with real-time location systems}},
url = {{http://dx.doi.org/10.1080/24725579.2021.1881660}},
doi = {{10.1080/24725579.2021.1881660}},
volume = {{11}},
year = {{2021}},
}