ADAPTIVE BUSINESS INTELLIGENCE FOR HEALTHCARE Herwanto, Ali Khumaidi, Nuke L Chusna
Program Studi Teknik Informatika Fakultas Teknik, Universitas Krisnadwipayana Kampus UNKRIS Jatiwaringin, Jakarta 13077
Abstract
Development of information technology related to data storage, allows database to store hospital data, even when the data size is huge either in number, variations, and formats that may vary. Currently the issues related hospital database is no longer on data gathering, but in data analytic. Because of this, the existence of these data will give benefit, especially for decision making. To visualize the data in order to explore in depth everything related to patient care, hospitals needs several information technology such as databases, data warehouses, and applications that can do data analytic and build predictive models. Adaptive BI (Business Intelligence) that integrates data mining techniques with BI applications is one form of implementation, which is able to answer those needs. Adaptive BI Systems include elements of data mining, predictive modelling, forecasting, optimization, and adaptability to assist in decision making. This research focuses on several important things, especially to find out the steps that must be carried out in building a good and targeted Adaptive BI. We also reviewed the right approach in Adaptive BI development in hospitals, and many important aspects that must be considered so that development system works for hospital environment.
Keywords: Data Warehouse, Data Mining, Business Intelligence, Adaptive Business Intelligence
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