Digital Transformation in Pharmaceutical Companies


A key component of the Pharma 4.0 revolution, automation can transform the pharma supply chain by offering reduced transactional costs to healthcare administrator.


Drug quality is a serious issue that affects organizations and patients who rely on the drug’s efficacy to gain the best result from it. Automated manufacturing processes minimize manual errors arising from contaminations and other threats and help improve and maintain drug quality at much higher levels than is possible through traditional methods.


Optical Character Recognition (OCR) for document digitization, and Computerized vision in Quality control/ packaging, shipment tracking & drug traceability. OCR and computer vision have a vast scope of implementation to achieve success for the industry in its compliance efforts.


Regulatory authorities often advise that the pharma organizations document every single step of the process involving drug research, clinical trials, development, and subsequent batch production for mass usage. However, the duplication arising from manual transcription and other errors often delay the process. OCR-enabled software can be used to convert user-generated documents to digital in a matter of minutes as opposed to hours spent manually.


Computer visions can be used to inspect labels and barcodes while receiving the shipment to review drug authenticity and thus avoid counterfeiting. It also helps trace the origin of medicine for pharmacovigilance and adverse event management and is far less time consuming and efficient.


Communication is crucial for health professionals. Any mistakes in communicating patient data can lead to escalating expenses and may have legal implications as well. Relying on ledger-based communication enabled by blockchain can secure patient record transfer and minimize chances of miscommunication.


Artificial Intelligence and Machine Learning to detect diseases, and aid and accelerate drug discovery. Machine Learning models have been used to speed up disease detection.


Using extensive diagnostic data, healthcare and pharma companies are mapping simple and effective tools that are reducing costs and time, making the screening process easier. More interestingly, this approach can be replicated for many more diseases across the world.

Post a Comment

Previous Post Next Post