How Data Analytics is Helping Pharmaceutical Industry
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Pharma Tech Outlook: Pharma Tech Magazine

How Data Analytics is Helping Pharmaceutical Industry

Stacey Smith, Pharma Tech Outlook | Friday, February 11, 2022

Data collected from the pharma industry's value chain can generate valuable insights and enhance efficiency, time to market and prove to be lifesaving.   

FREMONT, CA : In these COVID pandemic times, the world's optimism is pinned on the pharmaceutical industry possibly more than ever before. With new viruses emerging every year, data is critical in the creation of drugs and vaccines. 

The information gathered from COVID-19-affected countries, such as recovery rates, intensive care requirements, number of deaths, and the total number of cases, provides helpful information about the disease's spread, recovery, demographic impact, and administration.

Since data may contribute to the healthcare and pharmaceutical industries, everyone needs to recognize its significance. The following are some of the most well-known examples.

Use of data in clinical trials

It has been noted that the healthcare sector does not operate on a one-size-fits-all basis. Data obtained during medical clinical trials can be processed to produce insights on the outcome of individuals based on medical background, gender, age, and other factors. Before prescribing any medication, doctors must consider the patient's current ailments and medical background.

Having a system to monitor actual and existing illnesses and previously prescribed medications may help discern individual care. Pharma companies will inform doctors about how a specific drug will fit into an individual's care plan using big data analytics.

Importance of data in COVID-19 treatment

Even though vaccines are still being developed, the shared awareness and existing studies on related types of protein sealed viruses help treat COVID-19 patients. The expertise gained from analyzing data on several similar viruses such as SARS, MERS, and others helped discover the medicine remdesivir, which saved the lives of thousands of COVID-19 chronic patients.

Other emerging therapies, such as plasma therapy, have aided in treating severe cases of the virus. The data on active cases and death rates obtained regularly helped measure administrative response to the virus's spread. Some states took proactive measures to collect information on any new resident and their immediate connections, which resulted in a significantly lower number of deaths than in other states.

Data became a valuable method for identifying hotspot areas and the most affected communities, assisting in filtering the virus's spread. One of the most effective tools was location analytics. The government encouraged people to use an app to gather data on positive and unsafe citizens and prevent the spread of the virus.

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