Is AI the Secret Ingredient in Covid-19 Vaccine Rollout and Tracking?
“When a vaccine gets distributed at scale and speed, a technology solution needs to track the batch and allot numbers to know exactly where each dose is and who received it,” stated Eric Sandor, drug safety AI lead at Genpact.
We are well aware that COVID SARS-2 has already infected more than 127 million people worldwide, killed around 2.79 million people, and is still taking a toll rapidly. Under these circumstances, it’s an absolute necessity to quicken the process of vaccine rollout and tracking.
Some of you may not be aware of the contribution of AI in Covid-19 vaccine rollout but for a matter of fact, AI has been in use since the early stages of COVID in order to accurately track the spread of positive cases in the market and to grind through a noteworthy number of research journals for treatment options to develop a vaccine.
As a result of the contribution of AI and technology the healthcare giants, Pfizer and Moderna have already developed the vaccines and these are up out and about for clinical trials. And, guess what? The results are already satisfactory and non-complex. And the next step? AI and other digital tools are working towards managing the complex supply chain for the vaccine.
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Let’s see how there are these 4 crucial ways in which AI may play a role with the accurate rollout and tracking of the Covid-19 vaccine:
1. Impact Modeling for Triage
AI impact modeling is extremely helpful in determining the strength of the population and the age groups that are to be vaccinated in order to prevent the further spread of the pandemic.
2. Predicting the Demand
AI helps to predict and determine the regions where the doses have to be shipped immediately so that the maximum number of people can be immunized in the least number of hours against the disease.
3. Supply Chain Management
Population bottleneck prevention is crucial when it comes to the pandemic outraise, and AI along with other digital tools helps to monitor the vaccine production and delivery on time to avoid such situations.
4. Post-vaccination Inspection
Clinical trials may evidently not reveal all the side-effects of the vaccine and that’s where post-vaccination inspection becomes essential. Thus, AI comes into play to carefully supervise any such discrepancies after the process of vaccination.
In conclusion, it can be said that Covid-19 has been like a litmus test for AI technology to check whether the trending digital tools and technologies can actually help out to rise above the crises. All-in-all AI has been empowering healthcare professionals over the long run now to make their tasks faster and easier. We can only wait to witness how this takes a leap into the future.