Mapping the Number of Patients Undergoing Treatment and Care in Public Hospitals After the Covid-19 Pandemic

Lenni Dianna Putri, Ermi Girsang, I Nyoman Ehrich Lister, Evizal Abdul Kadir

Abstract


The COVID-19 pandemic has had profound impacts on healthcare systems globally, altering the patterns of patient care and treatment in public hospitals. This research aims to map the number of patients undergoing treatment and care in public hospitals following the pandemic, providing insights into the evolving healthcare landscape. Utilizing data from public hospitals, we analyzed trends in patient admissions, treatment types, and care requirements post-pandemic. Our findings reveal a significant shift in healthcare demands, with an increase in patients requiring long-term care and treatment for chronic conditions exacerbated by delayed medical attention during the pandemic. Additionally, mental health services have seen a notable surge in utilization, reflecting the psychological toll of the pandemic. The research highlights the need for adaptive healthcare strategies to address the changing patient demographics and ensure efficient resource allocation. These insights can guide policymakers and healthcare providers in optimizing patient care and improving healthcare delivery in the post-pandemic era.

Keywords


mapping; patients; public hospital; covid-19

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References


J. Wong, Q. Y. Goh, Z. Tan, et al., "Preparing for a COVID-19 Pandemic: A Review of Operating Room Outbreak Response Measures in a Large Tertiary Hospital in Singapore," Canadian Journal of Anesthesia/Journal canadien d'anesthésie, Vol. 67, No. 6, pp. 732-745, 2020.

S. L. Rosa, M. F. Evizal, and F. Assidiqi, "Patient Monitoring System used Smart Sensor Technology Internet of Things and AI," Int. J. SCI. Res., Vol. 4, No. 2, 2024

L. D. Putri, E. Girsang, I. N. E. Lister, H. T. Kung, E. A. Kadir, and S. L. Rosa, "A Public Health Implications for Effective Community Interventions based on Hospital Patient Data Analysis using Deep Learning Technology in Indonesia," MDPI Inf., Vol. 15, No. 1, 2024.

A. L. Nori, Y. Liu, et al., "Psychiatric Services in Public Hospitals During the COVID-19 Pandemic: A Study of Demand and Delivery," Journal of Psychiatric Services, Vol. 72, No. 3, pp. 245-252, 2021.

World Health Organization, "Addressing Health Inequities during the COVID-19 Pandemic," 2021. [Online]. Available: https://www.who.int.

Disparities in COVID-19 Outcomes, Journal of the American Medical Association, Vol. 324, No. 11, pp. 1033-1034, 2020.

C. S. Kruse, P. Karem, et al., "Telehealth in Public Hospitals During COVID-19: A Systematic Review," Journal of Medical Internet Research, Vol. 23, No. 5, p. e24522, 2021.

Centers for Disease Control and Prevention, "Infection Control Guidance for Healthcare Professionals about COVID-19," 2020. [Online]. Available: https://www.cdc.gov.

National Institutes of Health, "Long-Term Impacts of the COVID-19 Pandemic on Healthcare Systems," 2021. [Online]. Available: https://www.nih.gov.

Health Foundation, "Building Resilient Healthcare Systems post-COVID-19," 2021. [Online]. Available: https://www.health.org.uk.

Strengthening Healthcare Systems for Future Pandemics, British Medical Journal, Vol. 373, p. n1151, 2021.

Global Collaboration in Healthcare Planning for Pandemics," The Lancet, Vol. 398, No. 10296, pp. 231-232, 2021.

W. A. W. A. Bakar, N. L. N. Josdi, M. Man, and E. A. Kadir, "Evaluating CTGAN-Generated Synthetic Data for Heart Disease Prediction: Fidelity, Predictive Utility, and Feature Preservation," Vol. 16, No. 12, 2025.

R. Arifin, W. A. W. A. Bakar, M. Man, and E. A. Kadir, "Performance Evaluation of the AuRa Consensus Algorithm for Digital Certificate Processes on the Ethereum Blockchain," Vol. 15, No. 11, 2024.

E. A. Kadir, S. L. Rosa, S. Efendi, Monitoring System based on Internet of Things Technology, 3rd International Conference on Smart Computing and Cyber Security: Strategic Foresight, Security Challenges and Innovation (SMARTCYBER 2023), South Korea, 2023.

E. A. Kadir, L. D. Putri, S. L. Rosa, A. Siswanto, F. Assidiqi, M. F. Evizal, Anomaly Detection of Patient Data in Public Hospital used Internet of Things Sensors, 2024 International Conference on Inventive Computation Technologies (ICICT), Nepal”, 2024.




DOI: https://doi.org/10.32520/stmsi.v15i6.6321

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