• Pharmacology is the branch of medical science which is concerned with the scientific study of drugs, their actions and various effects on body systems. Considering the fact that a great majority of patient-doctor interactions conclude with prescribing a drug to the patient, the knowledge of pharmacology is the bed-rock of modern medicine.

MISSION STATEMENT:

• To impart the understanding of the pharmacological basis of therapeutics, so as to enable the future doctors to prescribe rationally and make sound decisions supported by evidence based medicine.
• To promote a learning and research environment that embraces inquiry and a spirit of innovation, so as to empower the health professionals to adopt a patient centered and evidence based approach to pharmacotherapy with the ultimate goal of improving human health..
• The department of pharmacology aims to fulfil its mission by employing various innovative teaching learning methods along at the same time retaining the best of traditional methods of learning.
• The department is well equipped with Computer Lab with Computer assisted learning (CAL) software as an alternative to animal experiments. This in accordance with the regulations on the subject which require that the use of animals must be minimized in UG teaching. By using CAL, the students can see the real time effects of the drugs on various body systems at the click of a button without the need for performing animal experiments which can cause much avoidable pain and distress to the animals..
• Adverse Drug Reaction Monitoring Centre (AMC) in the Department of Pharmacology,AIIMS Mangalagiriwas approved under Pharmacovigilance Programme of India (PvPI) on 16th February, 2021 by Indian Pharmacopoeia Commission (IPC), Ministry of Health and Family Welfare, Ghaziabadand subsequently was formally inaugurated by Dr. Mukesh Tripathi, Director and CEO, All India Institute of Medical Sciences, Mangalagiri.The purpose of AMC is to monitor and report any adverse reactions that may be encountered during treatment. The information generated will help in continuous monitoring of the risk-benefit ratio of various medicines and help in timely intervention if required.