Development Of Health Information Systems For Patient Data Management and Better Care
DOI:
https://doi.org/10.62951/ijhsb.v1i3.61Keywords:
Health Information Systems, Patient Data Management, Health Care, Efficiency, Care CoordinationAbstract
The development of health information systems (GIS) is important in this digital era to improve patient data management and provide better care. This research aims to develop a SIK that can help health service providers manage patient data more efficiently and improve care coordination. Development steps include requirements analysis, system design, implementation, and performance evaluation. The developed system has features such as recording patient medical history, scheduling appointments, monitoring health conditions, and communication between health care providers. The evaluation results show that the developed SIK succeeded in increasing efficiency in patient data management and care coordination. Healthcare providers can easily access patient information, plan more coordinated care, and communicate effectively with colleagues. Thus, the development of this SIK is expected to make a significant contribution to improving the quality of health services and patient outcomes through better data management and more coordinated care.
Downloads
References
Afrisawati, A., & Sahren, S. (2020). Comparatory analysis using MOORA and WASPAS methods for choosing the best beef cattle breeds. JURTEKSI: Jurnal Teknologi dan Sistem Informasi, 6(3), 269–276. https://doi.org/10.33330/jurteksi.v6i3.827
Alsabri, Y. U., Zakir, A., & Irwan, D. (2022). Application of customer relationship management in a website-based beauty clinic information system (Case study: Ms Glow Aesthetic Clinic). Journal Name, 4. [Note: The journal name is missing in your provided reference. Please insert the actual title.]
Arisman, A., & Sianturi, F. A. (2020). Decision support system for new student admissions using the MOORA method (Multi-Objective Optimization On The Basis Of Ratio Analysis). Jurnal Ilmu Komputer dan Sistem Informasi JIKOMSI, 3(1.1), 73–83.
Batubara, R. I., & Siregar, Y. (2022). The best decision support system for honorary employees in the Medan plantation service using the GADA method. Jurnal Media Informasi, 3(2), 104–111. https://doi.org/10.55338/jumin.v3i2.279
Ginting, B. G., & Sianturi, F. A. (2021). Decision support system for providing assistance to underprivileged families using the AHP method. Jurnal Nas Computing and Technol Inf, 4(1).
Laia, F., & Sianturi, F. A. (2021). Decision support system for best employee performance assessment using the simple additive weighting (SAW) method. RESOLUSI: Engineering Technology, Informatics and Information, 1(3), 195–200.
Matondang, F. M., & Sianturi, F. A. (2020). Decision support system for determination of nutrition in pulmonary tuberculosis patients using multi-objective optimization method on the basis of analysis (MOORA). Login: Jurnal Teknologi dan Komputer, 14(2), 198–204.
Sahputra, F., & Sianturi, F. A. (2020). Decision support system selection of best employee at PT. Intiberkah Sinar Sejahtera using simple additive weighting method. Journal of Computer Network Architecture and High Performance Computing, 2(1), 1–6.
Sianturi, F. A., & Sitorus, M. (2019). Combination of the simple additive weighting (SAW) method with the nearest neighbor algorithm for employee recruitment. Jurnal Mantik Penusa, 3(2), December.
Wati, W., & Sianturi, F. A. (2022). Implementation of the TOPSIS method in recommending the best pesticide for rice plants in Rumbia Village. Journal of Science and Technology, 3(2), 31–35.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 International Journal of Health and Social Behavior
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
