Drug prescription behavior and decision support systems
Drug prescription behavior and decision support systems
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DOI：
10.1016/j.dss.2012.10.045
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发表时间：
2014-01-01
影响因子：
7.5
通讯作者：
Ozdemir, Zafer D.
中科院分区：
文献类型：
--
作者：
Akcura, M. Tolga;Ozdemir, Zafer D.
药物不良事件困扰着医疗保健服务的结果。在这项研究中，我们提出了一种临床学习模型，该模型结合了在药物处方中使用决策支持系统（DSS），以改善医生关于初始药物选择和给药的决策。该模型既可以分析研究不同 DSS 特征对临床学习的影响，也可以在给定面板数据集的情况下估计医生的学习行为。分析结果表明，使用 DSS 来改善医生的处方决策将对他们的临床学习产生积极影响。相反，如果不改进成功的药物选择，DSS 的使用将对临床学习产生负面影响。实证结果为推动医生对信息源做出反应的因素以及他们在开药时依赖临床经验的程度提供了进一步的证据。 (C) 2012 年由 Elsevier B.V. 出版
Adverse drug events plague the outcomes of health care services. In this research, we propose a clinical learning model that incorporates the use of a decision support system (DSS) in drug prescriptions to improve physicians' decisions about the initial drug selection and administration. The model allows for both the analytical investigation of the effects of different DSS features on clinical learning and the estimation of the physician learning behavior given a panel data set. The analytical results suggest that using a DSS to improve physicians' prescription decisions would positively influence their clinical learning. Conversely, without improvements in successful drug selection, the use of a DSS would negatively affect clinical learning. The empirical results provide further evidence on the factors that drive physicians' responses to information sources and the extent to which they rely on clinical experience in prescribing drugs. (C) 2012 Published by Elsevier B.V.