Digital Technology in Life Sciences to Prove a Booster for the Field!

Nature of life sciences and the practices involved are such that a single point patient interface is very hard to achieve. As patient centricity is ever increasing the need for digitalization to deliver better results has also grown. May have been right to understand the need of AI, blockchain, analytics etc. in the field of life sciences.
Patients have increasingly been assessed through online facilities like patient diaries. Digital technology allows all these records to be collaborated with various biotechnology inputs like MRI scans, laboratory tests etc. for a better patient evaluation and treatment.
Clinical trials need a vast amount of data to be analyzed in order to choose the suitable patient. Tools like AI and blockchain have increasingly proved effective in collecting, analyzing, synthesizing and communicating this data, that has allowed the industry to move from volume based to a value-based outputs.
Keeping in mind the Good Manufacturing Process (GMP) compliance, pharmaceutical manufacturers now need to move from bulk production of certain kind of drugs to a more personalized and effective small batches. Small pharmaceutical batches may pose a serious challenge for global supply changes. AI, blockchain and systems like Internet of Things [IOT] have increasingly been relied upon to maintain supply chains and profitability.
Maintaining quality is also of paramount concern for the pharmaceutical industry. Monitoring various batches, making sure the supply and demand elements remain on an interoperable data platform are some of the challenges that can be addressed using digital technology in life sciences.

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