Will AI enable us to predict future pandemics and improve healthcare delivery?

With the multitude of data processed and analyzed every minute, as AI capabilities improve and Machine Learning and Quantum Learning advance, the ability to leverage data to solve complex problems in seconds is a reality.

According to reports of AI Company that leverages machine learning to monitor infectious disease outbreaks globally, the world had alerted various governments, health care and businesses to an unusual increase in pneumonia cases, in 9 days WHO officially flagged Covid-19 as a pandemic.  This is not a surprise to those involved in researching AI’s application in medicine, healthcare, and patient experience. AI is accredited with being the most powerful technology currently to fuel the prediction, prevention and eradication of pandemics. Machine learning analyses historical data to identify key variables that predict a health crisis. Data is the fodder for AI and machine learning acts as the engine. AI’s success hinges on good data.   Today a number of companies globally are aggressively working towards mining data that can help develop technologies to create early warning systems. Most of these companies are refining and structuring existing data to analyse and predict potential solutions.  Globally, if governments are earnest in reducing the cost of hea
AI is a game-changer and a transformational force for the healthcare industry and patience experience.

The ability to process and draw insights from structured data with high efficiency enables it to be the most formidable tool in the pursuit to prevent future epidemics.


AI can not only help prevent outbreaks, but it can also raise early warning signs and help identify potential pandemics.

According to reports of AI Company that leverages machine learning to monitor infectious disease outbreaks globally, the world had alerted various governments, health care and businesses to an unusual increase in pneumonia cases, in 9 days WHO officially flagged Covid-19 as a pandemic.


This is not a surprise to those involved in researching AI’s application in medicine, healthcare, and patient experience. AI is accredited with being the most powerful technology currently to fuel the prediction, prevention and eradication of pandemics. Machine learning analyses historical data to identify key variables that predict a health crisis.


Data is the fodder for AI and machine learning acts as the engine. AI’s success hinges on good data.

Today a number of companies globally are aggressively working towards mining data that can help develop technologies to create early warning systems. Most of these companies are refining and structuring existing data to analyse and predict potential solutions.


Globally, if governments are earnest in reducing the cost of healthcare and preventing future outbreaks, they should start with a mandatory review on how health clinics and hospitals can capture and store data. Further, regulating processes to provide real-time access to data to healthcare officials and AI healthcare systems is key. Once this data is collected and analysed, AI systems can trigger early warning signs, send regional alerts to ensure precautionary measures can be implemented.


The Covid-19 outbreak has proven that globally governments are ill-equipped to deal with severe disease outbreaks. As we enter 2021, this must change. Governments must take responsibility for fixing this and allocate resources to accelerate AI deployment.


AI has a huge potential to help people stay healthy and reduce their doctor visitations. Innumerable technologies and applications are available for the proactive management of a healthy lifestyle. Further, AI provides healthcare professionals with the ability to analyze day-to-day patterns of patients thereby providing appropriate advice, solution, and support.


AI is a game-changer and a transformational force for the healthcare industry and patient experience.


From identifying and developing therapies to managing vast datasets of historic medical information, to new drug development – the possibilities are endless. This is why it's no surprise that a variety of AI technologies are already being used by payers and providers of care, and life sciences companies. Currently, it is being used in diagnosis, treatment recommendations, patient engagement and experience, procedural compliance and administrative activities.


Multiple technology providers are working towards advanced applications that facilitate voice-based or chat-based consultation. This will accelerate scalable access of quality healthcare to the masses, removing geographic barriers and making healthcare accessible to remote or under-served populations.


Managing patient data through effective data governance. Read on.