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Reducing search tim...
Reducing search times and entropy in hospital emergency departments with real-time location systems
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- Pendrill, Leslie (författare)
- RISE,Mätteknik,Research Institutes of Sweden (RISE)
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- Espinoza, Andreas (författare)
- Sony Mobile Communications AB, Sweden
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- Wadman, Johan (författare)
- Sony Mobile Communications AB, Sweden
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- Nilsask, Fredrik (författare)
- Research Institutes of Sweden (RISE)
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- Wretborn, Jens (författare)
- Lund University,Lunds universitet,Medicin, Lund,Sektion II,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Medicine, Lund,Section II,Department of Clinical Sciences, Lund,Faculty of Medicine,Region Östergötland
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- Ekelund, Ulf (författare)
- Lund University,Lunds universitet,Medicin, Lund,Sektion II,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Akutsjukvård,Forskargrupper vid Lunds universitet,Medicine, Lund,Section II,Department of Clinical Sciences, Lund,Faculty of Medicine,Emergency medicine,Lund University Research Groups
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- Pahlm, Ulrika (författare)
- Lund University,Lunds universitet
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(creator_code:org_t)
- 2021-04-13
- 2021
- Engelska.
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Ingår i: IISE Transactions on Healthcare Systems Engineering. - : Bellwether Publishing, Ltd.. - 2472-5579 .- 2472-5587. ; 11:4, s. 305-
- Relaterad länk:
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Abstract
Ämnesord
Stäng
- 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. © 2021 The Author(s).
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Hälso- och sjukvårdsorganisation, hälsopolitik och hälsoekonomi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Health Care Service and Management, Health Policy and Services and Health Economy (hsv//eng)
Nyckelord
- Emergency department
- healthcare management
- patient flow
- process improvement
- adult
- article
- crowding (area)
- emergency ward
- entropy
- health care management
- human
- probability
- uncertainty
- Emergency department
- healthcare management
- patient flow
- process improvement
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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