FUTURE CHALLENGES AND OPPORTUNITIES IN PHARMACOVIGILANCE
Pharmacovigilance is the pharmaceutical science related to the detection, assessment, understanding, and prevention of adverse effects. Pharmacovigilance is a generally growing field in India. In western countries, this pharmacovigilance is developed in a full-fledged way.
The availability of healthcare data has been increasing over the last few years and also most abundantly increase in the future thank you to the massive marketing of digital tools collecting patient-derived data.
NEED OF PHARMACOVIGILANCE
Insufficient evidence of safety for clinical trials Authorized for the animal experiments phase-1 to phase-2.
Generally, medicines are supposed to save lives dying from a disease is unavoidable but dying from the disease is unacceptable.
Promotion of rational use of medicines.
AIM OF PHARMACOVIGILANCE
Pharmacovigilance keeps track of the adverse effects of drugs.
Improve safety & public health through the use of medicines.
Promote understanding, education, and clinical training in pharmacovigilance and also educate the people about pharmacovigilance.
By monitoring the adverse effects of the drugs from the lab to the pharmacy and for many years to know about the efficacy of the drug and adverse effects that are appearing.
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING MAY ALSO BE USEFUL IN PHARMACOVIGILANCE
The availability of healthcare data has been tremendously increasing over the last years and will further increase in the near future thanks to massive marketing of digital tools collecting patient-derived data. Huge amounts of electronic data present an opportunity to apply artificial intelligence (AI) techniques to improve drug safety assessment. Information extraction, using natural language processing (NLP) techniques and text mining to gather relevant insights from available, largely unstructured sources, has been gaining importance within the field of clinical research. As regards pharmacovigilance, text mining and NLP methods can be very useful to gather information on adverse drug reactions (ADRs) and drug-drug interactions from various textual sources, supporting researchers and clinicians in monitoring drug safety. Indeed, both public and private entities are currently trying to develop AI tools that can allow them to automatically process ADRs
In case reporting & processing the task has been executed automatically.
The Identification of huge & different adverse events representing symptoms of syndromes.
Pharmaco-epidemiological studies have been conducted.
Linkage of data and conduction of probabilistic matching within the data sets.
By using real-world data, the prediction and prevention of adverse events through specific models.
Pharmacovigilance goes through all available information and accesses the safety profile of a drug. The benefit of pharmacovigilance also needs to systematically Identify and correlate drugs and side effects.
REFERENCES
Arun Setting standards for proactive pharmacovigilance in India: The way forward”, Indian J pharmacovigilance,2007;39(3):124-128.
WHO, Pharmacovigilance: ensuring the medicines safety:Geneva: WHO 2004.
Deepa, A Pharmacovigilance obligations of pharmaceutical companies in India:2008;40: S13-S16.
Written By: Poorna Chandra Perugu
Qualification: B Pharmacy
Id Number: Csrpl_Int_Ofl_Wkd_172/0922
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