A management information system for village health centers enhances the efficiency of healthcare delivery
DOI:
https://doi.org/10.70356/jafotik.v2i2.39Keywords:
Management Information System, Healthcare deliveryAbstract
The implementation of a Management Information System (MIS) in village health centers addresses the significant challenges posed by traditional paper-based record-keeping, limited resources, and inconsistent patient care. Village A, for example, benefits from a transition to integrated digital record-keeping, which ensures accurate data entry, reduces patient wait times, and enhances the overall efficiency of healthcare services. The MIS also improves supply chain management by tracking inventory in real-time, ensuring essential medical supplies are consistently available. Additionally, the system optimizes staff scheduling, mitigating the impact of staff shortages. In other villages, the MIS enhances the reliability of Electronic Health Records (EHR), merges paper and digital records for better accuracy, and introduces queue management systems to streamline patient flow. By addressing these challenges, the MIS significantly improves healthcare delivery, making it more efficient, responsive, and capable of meeting the specific needs of rural communities. This tailored approach not only enhances patient care but also strengthens the overall functionality of village health centers.
Downloads
References
Y. Wang, A. Castelli, Q. Cao, and D. Liu, “Assessing the design of China’s complex health system – Concerns on equity and efficiency,” Heal. Policy OPEN, vol. 1, no. October, 2020, doi: 10.1016/j.hpopen.2020.100021.
S. Arakelyan et al., “The role of trust in health-seeking for non-communicable disease services in fragile contexts: A cross-country comparative study,” Soc. Sci. Med., vol. 291, p. 114473, 2021, doi: 10.1016/j.socscimed.2021.114473.
M. J. Smith, R. V. Phillips, M. A. Luque-Fernandez, and C. Maringe, “Application of targeted maximum likelihood estimation in public health and epidemiological studies: a systematic review,” Ann. Epidemiol., vol. 86, pp. 34-48.e28, 2023, doi: 10.1016/j.annepidem.2023.06.004.
B. S. Behera, T. K. Das, K. J. Jishnu, R. A. Behera, A. C. Behera, and S. Jena, “E-governance mediated agriculture for sustainable life in India,” Procedia Comput. Sci., vol. 48, no. C, pp. 623–629, 2015, doi: 10.1016/j.procs.2015.04.144.
D. J. H. te Lintelo, P. Page, J. Kaganda, and D. Esau, “Tanzania’s story of change in nutrition: Political commitment, innovation and shrinking political space,” Glob. Food Sec., vol. 24, no. January, p. 100350, 2020, doi: 10.1016/j.gfs.2020.100350.
S. Madon, J. O. Amaguru, M. N. Malecela, and E. Michael, “Can mobile phones help control neglected tropical diseases? Experiences from Tanzania,” Soc. Sci. Med., vol. 102, pp. 103–110, 2014, doi: 10.1016/j.socscimed.2013.11.036.
A. Grover et al., “Optimising Indian healthcare delivery with standard treatment workflows,” Clin. Epidemiol. Glob. Heal., vol. 29, no. June, p. 101732, 2024, doi: 10.1016/j.cegh.2024.101732.
D. B. Olawade, A. C. David-Olawade, O. Z. Wada, A. J. Asaolu, T. Adereni, and J. Ling, “Artificial intelligence in healthcare delivery: Prospects and pitfalls,” J. Med. Surgery, Public Heal., vol. 3, no. January, p. 100108, 2024, doi: 10.1016/j.glmedi.2024.100108.
A. Hussain, M. Umair, S. Khan, W. B. Alonazi, S. S. Almutairi, and A. Malik, “Exploring sustainable healthcare: Innovations in health economics, social policy, and management,” Heliyon, vol. 10, no. 13, p. e33186, 2024, doi: 10.1016/j.heliyon.2024.e33186.
S. J. Dorgan, T. Powell-Jackson, and A. Briggs, “Measuring healthcare payor management practices in England,” Soc. Sci. Med., vol. 340, no. November 2023, p. 116415, 2024, doi: 10.1016/j.socscimed.2023.116415.
M. N. Akhtar, A. Haleem, and M. Javaid, “Scope of health care system in rural areas under Medical 4.0 environment,” Intell. Pharm., vol. 1, no. 4, pp. 217–223, 2023, doi: 10.1016/j.ipha.2023.07.003.
C. Castillo et al., “Home healthcare in Spanish rural areas: Applying vehicle routing algorithms to health transport management,” Socioecon. Plann. Sci., vol. 92, no. December 2023, p. 101828, 2024, doi: 10.1016/j.seps.2024.101828.
X. Wang et al., “Underlying mechanisms of diabetes knowledge influencing diabetes self-management behaviors among patients with type II diabetes in rural China: Based on health belief model,” Patient Educ. Couns., vol. 117, no. March, p. 107986, 2023, doi: 10.1016/j.pec.2023.107986.
H. Niu et al., “EHR-BERT: A BERT-based model for effective anomaly detection in electronic health records,” J. Biomed. Inform., vol. 150, no. February, p. 104605, 2024, doi: 10.1016/j.jbi.2024.104605.
B. Farahani, M. Barzegari, F. Shams Aliee, and K. A. Shaik, “Towards collaborative intelligent IoT eHealth: From device to fog, and cloud,” Microprocess. Microsyst., vol. 72, p. 102938, 2020, doi: 10.1016/j.micpro.2019.102938.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Selli
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.