Qualetics Pharmacovigilance

Pharmacovigilance is the science and activities related to the continuous detection, assessment, understanding, and prevention of adverse effects or any other drug-related problems. AI has an essential role to play in pharmacovigilance, mainly in enhancing the efficiency and effectiveness of the process of drug safety surveillance. Qualetics has AI, patent-pending technology, and pharmacovigilance expertise to deliver innovative AI-enabled drug surveillance solutions.

Our Goals are Improving Patient Safety, Increase Drug Effectiveness & Reduce Risk 

Here are some specific areas where Qualetics’ Data Analytics and AI solutions improve Pharmacovigilance:

Improve the quality of data collected in pharmacovigilance by identifying and correcting errors in data.

Predict which patients are most at risk of experiencing adverse effects from a drug based on various factors, such as their medical history and genetic makeup.

Analyze massive amounts of data from various sources, including social media, medical records, and scientific literature, to detect and analyze potential ADRs early on.

Assess the potential risks associated with specific drugs or drug combinations by analyzing more factors such as drug-drug interactions, patient demographics, and medical history, faster.

Automate the process of screening and validating individual case safety reports (ICSRs) to ensure that only relevant and accurate data is included in pharmacovigilance databases.

Automate the signal detection process, which is the identification of potentially new or previously unknown adverse effects associated with a particular drug. AI algorithms can be used to analyze large volumes of data from various sources (such as electronic health records, social media, and patient forums) to identify potential safety signals that may indicate adverse drug reactions.

Streamline case processing, which is the evaluation and processing of reports of suspected adverse reactions to drugs, by automating tasks such as case triage and coding.

Our experts at Qualetics can use the potential of AI to improve the efficiency and effectiveness of pharmacovigilance by using data and modelling solutions to provide early detection of ADRs, automating signal detection, predicting patient risk, enhancing data quality, and streamlining case processing.

By combining innovative new patent-pending AI technologies with in-depth pharmacovigilance expertise, Qualetics can deliver a more thorough, cost-effective, scalable pharmacovigilance solution while greatly mitigating risks in adverse event detection.

Dr. Shreeraj Banerjee is a medical doctor with a specialization in orthopaedics and has more than 10 years of experience in the Pharmaceutical Industry, Clinical Medicine, Clinical Research, and Pharmacovigilance. He has also served as an EU-Qualified Person of Pharmacovigilance in the past and has built teams that have consistently delivered and exceeded customer expectations across various pharmacovigilance domains that include case processing, signal management, risk management, aggregate reports, audits/inspections and clinical safety.