MediEngine: A Low-Cost Digital Prescribing Framework for Improving Prescription Quality and Patient Safety in Resource-Constrained Clinical Settings

Prescription writing, despite its routine clinical role, remains a persistent source of variability, ambiguity, and medication safety vulnerabilities, particularly within resource-constrained healthcare environments. Existing literature consistently demonstrates that prescribing errors arise not merely from human oversight but from systemic design limitations, workflow pressures, and documentation inconsistencies. This study presented MediEngine, a low-cost digital prescribing framework conceptualized to address prescription-quality deficiencies, safety validation gaps, and workflow misalignment challenges observed in small clinical ecosystems. Unlike conventional EMR-centric approaches, MediEngine emphasizes structured prescription integrity, workflow velocity preservation, and safety-aware prescribing assistance. he projected analysis indicates that prescription-quality enforcement mechanisms embedded within lightweight, workflow-aligned systems may contribute to meaningful improvements in documentation completeness, prescribing reliability, medication safety, and continuity of care. The framework reinforces an important research insight: effective healthcare technologies need not be infrastructure-intensive but must be context-sensitive, cognitively aligned, and operationally efficient. MediEngine contributes to healthcare informatics research by conceptualizing prescription safety as a system design problem, highlighting the role of targeted digital interventions in enhancing clinical reliability without imposing technological burdens.

[1]     World Health Organization, Medication Without Harm: Global Patient Safety Challenge, WHO, Geneva, Switzerland, 2017. [2]     World Health Organization, Medication Errors: Technical Series on Safer Primary Care, WHO, Geneva, Switzerland, 2016. [3]     A. Patel, A. Sharma, and R. Gupta, “Healthcare Infrastructure and Primary Care Delivery in India,” International Journal of Health Policy and Management, vol. 9, no. 3, pp. 120–128, 2020. [4]     Ministry of Health and Family Welfare (MoHFW), Government of India, National Health Profile of India, New Delhi, India, 2023. [5]     R. K. Rudin, C. B. Bates, and L. MacRae, “Usability Challenges in Electronic Health Record Systems,” Journal of the American Medical Informatics Association (JAMIA), vol. 26, no. 10, pp. 1055–1062, 2019. [6]     J. S. Ash, D. F. Sittig, R. H. Dykstra, et al., “The Effects of Electronic Prescribing Systems on Clinical Workflow,” Health Informatics Journal, vol. 25, no. 2, pp. 310–322, 2018. [7]     D. W. Bates et al., “Effect of Computerized Physician Order Entry and Clinical Decision Support Systems on Medication Safety,” New England Journal of Medicine, vol. 338, pp. 1866–1873, 1998. [8]     J. Reason, “Human Error: Models and Management,” British Medical Journal (BMJ), vol. 320, pp. 768–770, 2000. [9]     S. Kaushal et al., “Medication Errors in Developing Healthcare Systems,” Quality & Safety in Health Care, vol. 10, no. 1, pp. 60–65, 2001. [10]   V. Irshaid and M. Al Homrany, “Compliance with Prescription Writing Guidelines,”Saudi Medical Journal, vol. 26, no. 2, pp. 242–247, 2005.