Implementasi Aplikasi Business Intelligence Untuk Memonitor Efisiensi Pengelolaan Rumah Sakit

Authors

DOI:

https://doi.org/10.30865/mib.v4i3.2090

Keywords:

Data Warehouse, Service Indicator, Business Intelligence, Application, Monitoring

Abstract

The need for fast and accurate information has become the need of every company, including hospitals. This is one of the factors that makes a company superior to other companies. In making the right and accurate decisions, leaders need information that is presented clearly, easily understood, on time, and in accordance with needs. To support the presentation of such information a database, data warehouse and other applications that are easy to understand are needed. Hospitals as a socio-economic institution are not only required to provide solutions to health problems but are also demanded to always improve the quality of their services. For this purpose to be achieved, its management must be efficient. Service indicators can be used as a measuring tool to assess the level of management efficiency. Business Intelligence (BI) application is one form of implementation that is able to facilitate management to monitor hospital performance. This research explores the use of information technology to build BI applications, reviewing the right approach in building BI applications, as well as several important aspects that must be considered for the system work for the hospital environment. There are two main stages in building this application, namely: building a data warehouse originating from an electronic medical record database and hospital operations, and building a BI application. With the formation of this BI application, it is very useful for hospital management in managing their institutions better

Author Biographies

Herwanto Herwanto, Universitas Krisnadwipayana, Jakarta

Fakultas Teknik, Program Studi Teknik Informatika

Ali Khumaidi, Universitas Krisnadwipayana, Jakarta

Fakultas Teknik, Program Studi Teknik Informatika

References

W. T, H. S, and L. L, “Evaluasi Kualitas Billing System Di Rumah Sakit Pku Muhammadiyah Yogyakarta,†Universitas Gajah Mada, 2016.

S. N.F, “Standart Akreditasi Rumah Sakit Dalam Meningkatkan Mutu Pelayanan Dan Keamanan,†OSF, 2019.

T. V.Y., R. G., and P. J., “Penerapan Sistem Informasi Rumah Sakit X Kota Manado Dalam Perencanaan Ketenagaan Dan Peralatan Medik,†J. Kesmas, vol. 8, no. 6, pp. 36–48, 2019.

N. Bahiyah and R. H. P. Sejati, “Business Intelligence Untuk Instansi Pelayanan Kesehatan:Manfaat Dan Peluangnya Di Indonesia,†in Seminar Nasional Informatika Medis (SNIMed), 2012, pp. 45–50.

D. R. D. P. Medik, Pedoman Pengelolaan Rekam Medis Rumah Sakit di Indonesia, Revisi 1. Jakarta: Departemen Kesehatan RI Direktorat Jendral Pelayanan Medik, 2005.

A. Johar, A. Vatresia, and L. Martasari, “Aplikasi Business Intelligence (Bi) Data Pasien Rumah Sakit M. Yunus Bengkulu Dengan Menggunakan Metode Olap (Online Analytical Processing),†Rekursif J. Inform., vol. 3, no. 1, pp. 12–22, 2015.

M. R. Atsani, G. T. Anjari, and N. M. Saraswati, “Pengembangan Business Intelligence Di Rumah Sakit (Studi Kasus: Rsud Prof. Dr. Margono Soekarjo Purwokerto),†J. Telemat., vol. 12, no. 2, pp. 124–138, 2019.

A. Maulana and D. A. N. Wulandari, “Business Intelligence Implementation To Analyze Perfect Store Data Using the OLAP Method,†SinkrOn, vol. 3, no. 2, pp. 103–109, 2019.

Sungkar, I. Ismail, and I. W. Mustafid, “Performance Dashboard pada Rumah Sakit Islam,†J. Sist. Inf. Bisnis, vol. 3, pp. 123–128, 2011.

W. H. Inmon, Building the Data Warehouse. USA: John Wiley & Sons, Inc, 2010.

W. Giovinazzo, Objecy-Oriented Data Warehouse Design: Building a Star Scheme. Prentice Hall PTR, 2000.

M. C, M. Abbey, and I. A, Oracle 8i : Data Warehousing. Osborn, 2001.

H. B. and B. G, “Perancangan Aplikasi Business Intelligence Hasil Proses Belajar Mengajar,†J. Eltek, vol. 11, no. 1, pp. 83–95, 2017.

M. García and B. Harmsen, Develop Business Intelligence applications with QlikView 11. Packt Publishing Ltd, 2012.

J. P. New, D. Leather, N. D. Bakerly, J. McCrae, and J. M. Gibson, “Putting patients in control of data from electronic health records,†Br. Med. J., 2018.

C. H. Lee and H. . Yoon, Medical big data: Promise and challenges. Kidney Research and Clinical Practice, 2017.

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Published

2020-07-20

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