AI Meets Pharmacology: SafeRx Launched by Amala Medical College and DoctorAssist.AI

Published: 04 Aug 2025

Author: Precedence Research

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Amala Medical College and Research Centre launched the first-ever artificial intelligence (AI) platform, SafeRx, developed in collaboration with Bengaluru-based healthtech firm DoctorAssist. AI. The initiative seeks to transform the process of writing and monitoring of medical prescriptions with emphasis on pharmacological safety and the use of antibiotics. The incident was a significant landmark both to the hospital and the medical field, given that it was a turning point towards the implementation of decision support systems using AI in the Indian medical practice.

The system is envisaged to be real real-time clinical decision support system that assists physicians in making safer, quicker, and informed decisions when prescribing any medication, in contrast to the traditional method, which is both manual and requires memory on the part of a physician. SafeRx is based on the application of AI algorithms in the analysis of a patient's medical history, diagnosis, comorbidities, and current medications. The system facilitates context-sensitive prescription recommendations, drug-drug interaction warnings, and risks associated with antibiotic resistance, which is becoming a serious concern in medical circles. Amala uses this tool to decrease errors related to medications, improve patient outcomes, and comply with international standards of controlling antimicrobial resistance (AMR).

The problem of global health that is emerging as one of the most concerning and is becoming increasingly widespread is the over and misuse of antibiotics that lead to the development of antibiotic resistance. The situation is getting out of control, and hospitals around the world are forced to implement antibiotic stewardship programs to reduce the risks. It assists clinicians in prescribing an appropriate antibiotic depending on the diagnosis and lab records, and it also provides insights related to local antibiograms, which are the local patterns of bacterial resistance. This enables individual and situationally accurate prescriptions, which are essential in ensuring successful infection management without risk of developing any resistance.

The potential of the AI system is also huge in terms of medical education and training in the future. Schools, such as Amala, gain a sense of people's preparedness to use technology-assisted prescription tools when they introduce students and young physicians to such AI support technology in the future. It may result in a more standardized care delivery across different regions and closer adherence to the best practices in different countries. Initial users in Amala have not only soared efficiency, but also elevated confidence in challenging situations that demand management of complex cases whose different comorbidities and medications interact.