AI Based Prescription Audit System

Prescription Audit System based on Artificial Intelligence

Prescription auditing is a vital aspect of healthcare management, ensuring medication prescriptions meet established guidelines and patient requirements. Prescription errors can lead to adverse effects and increased healthcare expenses. Our AI-driven prescription audit system presents a groundbreaking solution. It surpasses the traditional manual audits, which are often laborious, slow, and error-prone, by employing sophisticated machine learning algorithms to automate the process. The system swiftly and accurately analyzes extensive datasets, pinpointing prescription inconsistencies, confirming drug dosages, detecting potential drug interactions, and maintaining compliance with clinical protocols. This automation not only bolsters patient safety but also enhances workflow efficiency, freeing healthcare providers to concentrate on quality care. Designed to serve healthcare professionals, patients, and organizations, our system aims to minimize medication errors, enhance patient outcomes, and improve resource management. Our AI-based prescription audit system is setting new standards in prescription auditing, leading to a more secure and efficient healthcare environment.

Demo

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Specifications

  • To assess feasibility of a prescription audit system in primary health care facilities.
  • To create a comprehensive dataset of Bangladeshi prescriptions.
  • To develop AI methodology to detect and prioritize prescription errors.
  • To implement a pilot prescription audit system for primary care.
  • To evaluate pilot outcomes and recommend a national prescription audit program.

Diagrams

Publications

Ferdous Wahid, Fardeen Ahmed, Farhana Sarker, Ahmedul Kabir, Khondaker A. Mamun.(2022, September 13). Feasibility of Automated Prescription Audit Systems for better patient care. International Health Economics Conference 2023 ‘Progress towards Universal Health Coverage
Ferdous Wahid Anik, Fardeen Ahmed, Fahmid Al Rifat, Marzia Zaman, Farhana Srakar & Khondaker A. Mamun. (2025). Evaluation of Automated Prescription Audit systems and the utilization of Artificial Intelligence - A Systematic Review. Artificial Intelligence In Medicine, AIIM-D-23-00351. (under review)

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