Center for Value Management, DAPIT, University of Basilicata, Via dell'Ateneo Lucano, 10, 85100, Potenza, Italy.
Health Care Manag Sci. 2013 Mar;16(1):37-44. doi: 10.1007/s10729-012-9211-1. Epub 2012 Aug 15.
Nowadays the ability to provide outpatient services with exceptional quality is paramount to long-term survival of hospitals, as the revenues from outpatient services are predicted to equal or exceed inpatient revenues in the near future. Identifying the relative weight of different dimensions of healthcare quality service which concur together to determine outpatients satisfaction is very important, as it can help healthcare managers to allocate resources more efficiently and identify managerial actions able to guarantee higher levels of patients' satisfaction. This study proposes the use of Artificial Neural Network (ANN) as a knowledge discovery technique for identifying the service quality factors that are important to outpatient. An ANN model is developed on data from a panel of outpatients of public healthcare services.
如今，提供卓越质量的门诊服务的能力对于医院的长期生存至关重要，因为预计门诊服务的收入将在不久的将来与住院收入持平或超过住院收入。确定共同决定门诊病人满意度的不同医疗服务质量维度的相对权重非常重要，因为它可以帮助医疗保健管理人员更有效地分配资源，并确定能够保证更高水平的患者满意度的管理措施。本研究提出使用人工神经网络（ANN）作为一种知识发现技术，以确定对门诊病人重要的服务质量因素。在公共医疗服务的门诊病人的面板数据上开发了一个 ANN 模型。
