Automation in pharmaceutical sector by implementation of artificial intelligence platform: a way forward

Authors

  • Amol Shinde Department Medical Affairs and Pharmacovigilance, Unichem Laboratories Ltd., Mumbai, Maharashtra, India
  • Dilip Pawar Department Medical Affairs and Pharmacovigilance, Unichem Laboratories Ltd., Mumbai, Maharashtra, India
  • Kunal Sonawane Department Medical Affairs and Pharmacovigilance, Unichem Laboratories Ltd., Mumbai, Maharashtra, India

DOI:

https://doi.org/10.18203/2319-2003.ijbcp20212387

Keywords:

Artificial intelligence, Clinical research, Pharmacovigilance, Medical affairs, Pharmaceuticals marketing

Abstract

Worldwide, there are technological advances that swift automation in several aspects of the pharmaceutical industry such as pharmacovigilance, clinical research, medical affairs, and marketing. Innovative technology like artificial intelligence (AI) emphasizes the massive use of the internet for drug development, drug safety, data analytics, communication marketing, and customer engagement to achieve the goal of pharmaceuticals and patient-centric healthcare. Presently, escalating the number of individual case safety reports (ICSRs) necessitate the support of AI in the transformation of drug safety professional. AI can be transformed and evolve the clinical trial process from the conventional method alongside benefited the cutting cost, enhancing the trial quality, and alleviate trial time by almost half. Today, AI may be efficiently implemented to lower the cost of medical information requests, besides the online chatbots to communicate with health care professionals (HCPs) and consumers. There are numerous forthcoming uses of AI which need to be executed for renovation in the field of pharmaceuticals.

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Published

2021-06-22

How to Cite

Shinde, A., Pawar, D., & Sonawane, K. (2021). Automation in pharmaceutical sector by implementation of artificial intelligence platform: a way forward. International Journal of Basic & Clinical Pharmacology, 10(7), 863–869. https://doi.org/10.18203/2319-2003.ijbcp20212387

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Review Articles