Research Article

Development of a Financial Forecasting System for the Healthcare Sector

Number: Advanced Online Publication Early Pub Date: May 19, 2026

Development of a Financial Forecasting System for the Healthcare Sector

Abstract

Healthcare expenditures constitute a significant portion of national budgets in many countries, and striking a balance between cost-effectiveness and service quality is becoming increasingly important. In this context, financial analyses play a critical role in strategic decision-making processes for healthcare organizations. In particular, forecasting hospital turnover guides in many areas, such as budgeting, resource management, and personnel planning. This study aims to develop revenue forecasting models using the hospital’s historical turnover data to gain a better understanding of its financial status and to provide a more solid foundation for future financial decision-making in the healthcare sector. The present work reports a comparative time-series analysis of deep learning techniques (Recurrent Neural Networks with the Gated Recurrent Units (GRU), Long Short-Term Memory (LSTM) cells, and Neural Basis Expansion Analysis Time Series (N-Beats)) and statistical techniques (ARIMA and SARIMA) and the Naïve algorithm to forecast revenue using the hospital’s historical turnover data. The findings reveal that the SARIMA model provides high accuracy by successfully analyzing seasonal and trend components. In contrast, the N-BEATS model exhibits the best overall performance with the lowest error rate, highlighting its strong ability to capture complex temporal dependencies and outperforming both traditional recurrent architectures and conventional statistical methods. The models developed as a result of the study are evaluated as contributing to the financial planning processes of healthcare organizations and supporting strategic decision-making mechanisms.

Keywords

References

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Details

Primary Language

English

Subjects

Empirical Software Engineering

Journal Section

Research Article

Early Pub Date

May 19, 2026

Publication Date

-

Submission Date

July 13, 2025

Acceptance Date

November 11, 2025

Published in Issue

Year 2026 Number: Advanced Online Publication

APA
Şahinbaş, K., Keskin, A., & Akçakoca, Ö. (2026). Development of a Financial Forecasting System for the Healthcare Sector. Sakarya University Journal of Computer and Information Sciences, Advanced Online Publication, 377-399. https://doi.org/10.35377/saucis...1740703
AMA
1.Şahinbaş K, Keskin A, Akçakoca Ö. Development of a Financial Forecasting System for the Healthcare Sector. SAUCIS. 2026;(Advanced Online Publication):377-399. doi:10.35377/saucis.1740703
Chicago
Şahinbaş, Kevser, Abdurrahman Keskin, and Özlem Akçakoca. 2026. “Development of a Financial Forecasting System for the Healthcare Sector”. Sakarya University Journal of Computer and Information Sciences, no. Advanced Online Publication: 377-99. https://doi.org/10.35377/saucis. 1740703.
EndNote
Şahinbaş K, Keskin A, Akçakoca Ö (May 1, 2026) Development of a Financial Forecasting System for the Healthcare Sector. Sakarya University Journal of Computer and Information Sciences Advanced Online Publication 377–399.
IEEE
[1]K. Şahinbaş, A. Keskin, and Ö. Akçakoca, “Development of a Financial Forecasting System for the Healthcare Sector”, SAUCIS, no. Advanced Online Publication, pp. 377–399, May 2026, doi: 10.35377/saucis...1740703.
ISNAD
Şahinbaş, Kevser - Keskin, Abdurrahman - Akçakoca, Özlem. “Development of a Financial Forecasting System for the Healthcare Sector”. Sakarya University Journal of Computer and Information Sciences. Advanced Online Publication (May 1, 2026): 377-399. https://doi.org/10.35377/saucis. 1740703.
JAMA
1.Şahinbaş K, Keskin A, Akçakoca Ö. Development of a Financial Forecasting System for the Healthcare Sector. SAUCIS. 2026;:377–399.
MLA
Şahinbaş, Kevser, et al. “Development of a Financial Forecasting System for the Healthcare Sector”. Sakarya University Journal of Computer and Information Sciences, no. Advanced Online Publication, May 2026, pp. 377-99, doi:10.35377/saucis. 1740703.
Vancouver
1.Kevser Şahinbaş, Abdurrahman Keskin, Özlem Akçakoca. Development of a Financial Forecasting System for the Healthcare Sector. SAUCIS. 2026 May 1;(Advanced Online Publication):377-99. doi:10.35377/saucis. 1740703

 

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