Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM64319
Volume:
10 |
5 |
May 2026
Pages:
1-6
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

School of business (SOB)
Galgotias University, Greater Noida
— To find the correlation between the work load at the pharmacy counter and efficiency in dispensing the medicines in “Jay Arogyam Hospital, Nestiva, Patna, Bihar” a study was conducted with this title “Medication Dispensing Time and Prescription Volume at the Pharmacy Counter”. To analyze the impact of higher prescription orders on dispensing time, waiting time of patients and efficiency of overall service in the Pharmacy. Descriptive research design was used and the respondents were collected as 60 persons by the use of structured questionnaire. Data was analyzed using the statistical tools like percentage analysis and Tabular interpretation. Results indicated there was a high correlation between greater prescription volumes and larger dispensing times, which, in turn, was correlated with the overcrowding, and operational strain observed during peak hours, especially the morning hours. Operational issues like inadequate staff, human effort and manual processes also came up as a surface area holding back pharmacists from efficiency in the study. Proven recommendations were proposed to optimize the process, minimize waiting times and increase patient satisfaction.
KEYWORDS
To find the correlation between the work load at the pharmacy counter and efficiency in dispensing the medicines in “Jay Arogyam Hospital, Nestiva, Patna, Bihar” a study was conducted with this title “Medication Dispensing Time and Prescription Volume at the Pharmacy Counter”. The study demonstrated a significant influence of medication volume dispensed on dispensing time and waiting period of the patient in the hospital setting. The results showed that a good proportion of the respondents faced moderate to longer time waiting to collect medicines especially in the morning peak time. The analysis also revealed that overcrowding, high patient volume, lack of staff, manual workflows and inefficiency are significant factors affecting dispensing delays and patient satisfaction. Respondents were also negative about speed and efficiency of the pharmacy; hence, the need to improve the functioning in the pharmacy department. The study found out the connection between the workload of the prescription and efficiency in dispensing work and quality of health services. Thus, effective Pharmacy Workflow Management can significantly alleviate wait times, boost patient satisfaction, and ensure smooth hospital operations. The study suggests that the dispensing performance should be improved by implementing the computerization dispensing system, further suggested to improve the allocation of queuing practices, optimizing it during peak periods and redesigning the workflow process as suggested by the study. These monitoring systems can also play a role in reducing delays and improving patient-driven healthcare services through proper management of the flow of prescriptions and workload distribution. Academically, study findings can be used in the literature pertaining to healthcare management as it concerned with the operations of a hospital, especially in the area of dispensing. While the study was valuable in the identification of challenges related to the workflow of the pharmacy, there were some limitations linked to the study conducted as it involved a single hospital and a limited number of samples. Future studies could thus be expanded in number of respondents, to more health care institutions, with comparison between public and private hospitals, and using automated technologies for dispensing the medications which would help in reducing waiting time at the health care centers.
[1] Abimanyu, E. P. B., et al. (2025). Digital technologies in hospital pharmacy: A systematic review of impacts on dispensing efficiency and medication safety. Journal of Preventive Medicine and Public Health, 58(1), 1–15. [2] Alghamdi, H., Alshihayb, T. S., Alharbi, Y., Alawagi, M., Aleissa, A., & Albogami, Y. (2025). A data-driven approach to optimizing waiting times in outpatient pharmacy services: Interrupted time series analysis. Research in Social and Administrative Pharmacy, 21(2), 100672. [3] Buabbas, A. J., et al. (2026). Patient experiences with outpatient pharmacy services in automated healthcare settings. JMIR Medical Informatics, 14(1), e80963. [4] Cahyadi, R., et al. (2024). Study of waiting time efficiency in the outpatient pharmacy in supporting lean management implementation. International Journal of Healthcare Management, 19(2), 45–58. [5] Fahrurazi, F. E., Ibrahim, N. H., Mafauzy, N. M., Wan Ismail, W. N. A., & Mohamed Rusli, S. S. (2022). Factors affecting waiting time in outpatient pharmacy at Hospital Raja Perempuan Zainab II. Journal of Pharmacy, 2(1), 1–7. [6] Flynn, A. J., Fortier, C., Maehlen, H., Pierzinski, V., & Runnebaum, R. (2021). Development and application of autonomous pharmacy framework. American Journal of Health-System Pharmacy, 78(4), 305–314. [7] Jensen, J. (2021). Effects of computerized provider order entry on medication turnaround time in hospitals. AMIA Annual Symposium Proceedings, 2021, 384–388. [8] Liew, J. E. S., Chong Cheng, Y., Tai, N. L., et al. (2024). Pharmacy workflow redesign to improve waiting time and reduce medication near misses. International Journal of Pharmacy Practice, 32(1), 83–90. [9] Mensur, S., et al. (2025). Patients’ response to waiting time in hospital outpatient pharmacy services. Discover Health Systems, 4(1), 15–27. [10] Moss, J., & Berner, E. S. (2021). Evaluating clinical decision support tools for medication administration safety. International Journal of Medical Informatics, 148, 104394.
Publication Date
5/30/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
3
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...