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  • 1
    Online Resource
    Online Resource
    Elsevier BV ; 2023
    In:  SSRN Electronic Journal
    In: SSRN Electronic Journal, Elsevier BV
    Type of Medium: Online Resource
    ISSN: 1556-5068
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    Location Call Number Limitation Availability
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  • 2
    Online Resource
    Online Resource
    Wiley ; 2020
    In:  Decision Sciences Vol. 51, No. 5 ( 2020-10), p. 1131-1158
    In: Decision Sciences, Wiley, Vol. 51, No. 5 ( 2020-10), p. 1131-1158
    Abstract: In hospitals, replenishment order information for medical items go through multiple departments before it is submitted to the medical supplier. At times, order information is inadvertently lost on the way, leading to order loss. In this article, using our case study conducted at magnetic resonance imaging (MRI) units of a hospital, we propose a periodic review base stock inventory policy that takes order loss into account. Our proposed inventory policy helps in two respects. It provides insights about how to mitigate order loss and establishes a minimum inventory cost benchmark for hospitals so they can readily conduct incremental cost–benefit analysis before implementing a process improvement. We find that more frequent order losses do not necessarily lead to higher base stock levels. The review period plays a key role. We empirically find that, even when order loss is rare, the inventory costs go up appreciably. Hence, we also quantify the potential benefits of two technology features to improve a hospital's ordering process: computerized order entry and transfer (COET), which may eliminate order loss, and real‐time item tracking (RTIT), which reduces inventory costs further via continuous review of inventory. Our results indicate that savings by our proposed inventory policy or the two technology features are greatly increased at high service levels, percentage of time in stock, which is true for many hospitals.
    Type of Medium: Online Resource
    ISSN: 0011-7315 , 1540-5915
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 2066218-X
    detail.hit.zdb_id: 412837-0
    SSG: 3,2
    SSG: 5,3
    Location Call Number Limitation Availability
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  • 3
    Online Resource
    Online Resource
    Elsevier BV ; 2023
    In:  Operations Research Letters Vol. 51, No. 3 ( 2023-05), p. 248-254
    In: Operations Research Letters, Elsevier BV, Vol. 51, No. 3 ( 2023-05), p. 248-254
    Type of Medium: Online Resource
    ISSN: 0167-6377
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 1467065-3
    detail.hit.zdb_id: 720735-9
    SSG: 3,2
    Location Call Number Limitation Availability
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  • 4
    Online Resource
    Online Resource
    Institute for Operations Research and the Management Sciences (INFORMS) ; 2021
    In:  Manufacturing & Service Operations Management Vol. 23, No. 6 ( 2021-11), p. 1483-1504
    In: Manufacturing & Service Operations Management, Institute for Operations Research and the Management Sciences (INFORMS), Vol. 23, No. 6 ( 2021-11), p. 1483-1504
    Abstract: Problem definition: Many healthcare providers and payers offer teletriage, a telemedicine service where concerned patients can get advice about their health condition. In theory, teletriage should help patients with an acute illness choose an appropriate provider, reducing unnecessary and duplicate provider visits, yet no study has assessed the overall costs and benefits of teletriage at a system level. Academic/practical relevance: We model the use of teletriage in managing healthcare demand and determine in which cases teletriage is efficient and effective. Our model extends the academic literature on service operations and provides practical suggestions for healthcare payers. Methodology: We use a Markov decision process to model a patient’s choices during an acute illness episode, where the illness severity is partially observable to the patient and triage is subject to errors. We parameterize the model using data from the literature and provide both structural and numerical results. Results: Patients with high uncertainty about their state would use the teletriage service, which may improve their cost outcomes. However, when teletriage is added, the rate of arrivals to the emergency department (ED) may increase when the overtriage rate is above 5%, the lowest value observed in the literature. Patient’s choices and the copayment of other services affect the cost-effectiveness of teletriage. Managerial implications: There are several reasons why adding teletriage to the healthcare system could produce a negative cost outcome. Teletriage should not necessarily be free, which would encourage use by patients with low levels of uncertainty and actually increase the payer’s total cost. The overtriage rate is a key driver of performance and must be managed carefully.
    Type of Medium: Online Resource
    ISSN: 1523-4614 , 1526-5498
    RVK:
    Language: English
    Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
    Publication Date: 2021
    detail.hit.zdb_id: 2023273-1
    SSG: 3,2
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  • 5
    Online Resource
    Online Resource
    Elsevier BV ; 2011
    In:  Decision Support Systems Vol. 51, No. 4 ( 2011-11), p. 842-852
    In: Decision Support Systems, Elsevier BV, Vol. 51, No. 4 ( 2011-11), p. 842-852
    Type of Medium: Online Resource
    ISSN: 0167-9236
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2011
    detail.hit.zdb_id: 51654-5
    detail.hit.zdb_id: 1501054-5
    SSG: 3,2
    Location Call Number Limitation Availability
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