Vox sanguinis · 2012
Modelling and simulation of blood collection systems: improvement of human resources allocation for better cost-effectiveness and reduction of candidate donor abandonment.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Alfonso E, Xie X, Augusto V, Garraud O
Аннотация
BACKGROUND: This study addresses the modelling and simulation of blood collection for fixed blood collection sites in a medium-sized large French city, as well as mobile blood collection in urban and rural environments.
STUDY DESIGN AND METHODS: Formal Petri net models were used to describe all relevant donor flows of the various blood collection systems; the Petri net models were converted onto discrete-event simulation models, allowing the evaluation of a large number of scenarios and configurations of blood collection systems. Quantitative models were proposed that encompassed all components of the blood collection systems, such as the donor arrival process, resource capacities and performance indicators. Appropriate experimental designs and cost-effectiveness analyses were used to determine the best configurations of human resources and donor appointment strategies.
RESULTS: The donor service level depended on both adequate human resources capacity and appropriate appointment strategies. These decisions depend on the distribution during the day of walk-in donors.
CONCLUSION: Models permit to improve management of blood collection; they have now partially entered the real situation, awaiting further implementation.
STUDY DESIGN AND METHODS: Formal Petri net models were used to describe all relevant donor flows of the various blood collection systems; the Petri net models were converted onto discrete-event simulation models, allowing the evaluation of a large number of scenarios and configurations of blood collection systems. Quantitative models were proposed that encompassed all components of the blood collection systems, such as the donor arrival process, resource capacities and performance indicators. Appropriate experimental designs and cost-effectiveness analyses were used to determine the best configurations of human resources and donor appointment strategies.
RESULTS: The donor service level depended on both adequate human resources capacity and appropriate appointment strategies. These decisions depend on the distribution during the day of walk-in donors.
CONCLUSION: Models permit to improve management of blood collection; they have now partially entered the real situation, awaiting further implementation.