"A Review on an AI-Based Prescription Review System"
Artificial intelligence (AI) is becoming an effective approach to enhancing medication safety and the prescription review process. Traditionally, medication errors during prescribing, dispensing, or administration were mainly identified through manual review by healthcare professionals. Manual checking can be time-consuming, especially when a large number of prescriptions need to be reviewed.Artificial intelligence can support prescription assessment by processing medication orders, patient-specific details, and relevant drug information efficiently. AI-based systems may detect potential risks problems such as incorrect doses, drug–drug interactions, contraindications, and allergies.Artificial intelligence (AI) can facilitate the identification of high-risk prescriptions that warrant comprehensive review by pharmacists or physicians.Artificial intelligence–based approaches can facilitate the systematic evaluation of prescriptions and the detection of potential medication errors, thereby contributing to improved medication safety and the quality of pharmaceutical care.These platforms can generate notifications and assist healthcare practitioners focus on prescriptions that may require immediate attention.However, artificial intelligence serves acts as an aid to healthcare practitioners and is not intended to replace their clinical expertise or decision-making. Issues including data quality, unnecessary alerts, alert fatigue, patient privacy, and compatibility with current healthcare infrastructure need to be considered. Pharmacists and physicians remain essential for applying clinical judgement and making the final decision regarding patient care.This review discusses the applications of AI in prescription review, the components and technologies used in AI-based systems, medication-error detection, clinical decision support systems, and the role of pharmacists. The advantages, limitations, challenges, and future scope of AI-based prescription review systems in improving medication safety and patient care are also discussed.
Authors
- Chopade Kalyani Rajendra
- K. Bais Dr. Sanjay
- S. Dhavare Nilesh
Publication Details
- Journal
- International Journal of Pharmaceutical Research and Applications
- Published
- 2026-11-05
- DOI
- https://doi.org/10.5281/zenodo.23975582
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00