INPATIENT CLUSTER ANALYSIS FOR MEDICAL RESOURCE OPTIMIZATION USING K-MEANS CLUSTERING
Keywords:
clustering, K-Means, inpatient, length of stay, healthcare resource optimization.Abstract
The objective of this study is to analyze inpatient data in order to segment patients based on specific characteristics such as age, type of illness, medical procedures, and length of stay. The K-Means Clustering method is applied to identify patterns or patient segments that can be utilized in decision-making related to bed management and medical staff allocation more efficiently. The analysis was conducted using the Python programming language for data processing and result visualization. The findings indicate the existence of several groups of patients with distinct characteristics, which can serve as a strategic reference for improving service quality and the operational effectiveness of the hospital.
Downloads
References
Faizal Rizqi, M., Martanto, M., & Hayati, U. (2024). Clustering Kunjungan Pasien Menggunakan Algoritma K-Means Pada Rumah Sakit Di Wilayah Bekasi. JATI (Jurnal Mahasiswa Teknik Informatika), 8(1), 230–237. https://doi.org/10.36040/jati.v8i1.8327
Ortiz, B. L., Gupta, V., Kumar, R., Jalin, A., Cao, X., Ziegenbein, C., Singhal, A., Choi, S. W., & Tewari, M. (2024). Data Preprocessing Techniques for Artificial Intelligence (AI)/Machine Learning (ML)-Readiness: Systematic Review of Wearable Sensor Data in Cancer Care (Preprint). JMIR MHealth and UHealth, September. https://doi.org/10.2196/59587
Prakoso, B. H., Rachmawati, E., Mudiono, D. R. P., Vestine, V., & Suyoso, G. E. J. (2023). Klasterisasi Puskesmas dengan K-Means Berdasarkan Data Kualitas Kesehatan Keluarga dan Gizi Masyarakat. Jurnal Buana Informatika, 14(01), 60–68. https://doi.org/10.24002/jbi.v14i01.7105
Surya, & Maryana, N. F. (2020). Faktor Faktor Yang Berhubungan Dengan Pengetahuan Keluarga Pasien Mengenai Cuci Tangan. Jurnal Penelitian Perawat Profesional, 2(5474), 1333–1336.
Purba, Windania, Gamaliel Armando Sembiring, Andreas Saputra, Theresia Turnip, Ben Jua, Ivand Manihuruk, Fakultas Sains, and Dan Teknologi. 2023. “Penerapan Data Mining Untuk Pengelolaan Data Rekam Medis Menggunakan Metode K-Means Clustering Pada Rumah Sakit Royal Prima Medan.” Jurnal TEKINKOM 6(1):158–68. doi: 10.37600/tekinkom.v6i1.857.
Joseph Santoso. (2023). Ilmu data (Data Science) (Muhammad Sholikan (ed.); Pertama). Yayasan Prima Agus Teknik.
Joseph M. Tandiallo. (2024). Exploratory Data Analysis (EDA) Using Python. In kaggle. https://medium.com/@teppan_noodle/exploratory-data-analysis-eda-using-python-f85938cb1810
Tambuwun, C. H., Langi, Y. A. R., & Rindengan, A. J. (2020). Estimasi Bobot Parameter M Pada Fuzzy C-Means Menggunakan Analisis Robust Dengan Simulasi Data Spasial. D’CARTESIAN, 9(1), 50. https://doi.org/10.35799/dc.9.1.2020.27600
Azhari, R., Hartama, D., Lubis, M. R., Nasution, D. F., & Windarto, A. P. (2023). Analisis Penerapan Data Mining Terhadap Kasus Positif Covid-19 Menggunakan Metode K-Means Clustering. Journal of Informatics, Electrical and Electronics Engineering, 3(2), 221–235. https://doi.org/10.47065/jieee.v3i2.1760
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
