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Automotive

Intelligent use of analytics can help government solve oxygen crisis during Covid-19

The Supreme Court of India created a 12-member task force to allot medical oxygen to the Union territories and states, just days after the crisis that caused several deaths in the country. This decision was made because the Supreme Court of India had doubts about the government’s plan and approach to medical oxygen distribution. Thousands of people have already died during the second wave Covid-19. Predictive Analytics provides market information. It can be further sub-divided into countries/regions or sub-regions

India’s already overburdened healthcare system has seen significant changes due to rising Covid-19 caseloads. While the situation is precarious, there are many problems. Many hospitals have sent SOS letters to the states.  The second wave of the virus is so destructive because the authorities didn’t anticipate its potential power and spread like wildfire. There was very little preparation.

Tech Used in times of Need

Healthcare organizations could have used predictive analytics to help them identify potential resource shortages and other issues ahead of time. ACSG Corp is a critical infrastructure company that can bridge the gap by monitoring, analyzing and predicting data trends.

A potential defense system was developed by a Delhi-based company that uses data analytics. If used with intelligence, the data generated from the outbreak of the pandemic could change the dynamics. Through official applications such as AarogyaSetu. Data from Government Hospitals can be used to help with resource allocation. Based on various parameters related to past developments and arising requirements.

Predictive Analytics in Health Sector

Companies are using real-time data analysis to close the healthcare gap. SigTuple and ChironX use deep learning algorithms and other technologies to create smart software and screening tools that make healthcare more accessible and accurate. ACSG Corp is using predictive analytics in addition to analyzing real-time information. And to make sure there are no hiccups in resource allocation in the health sector. Pankaj Kumar (President of ACSG Corp.) says. “Integration technology. Such data analytics is important to help healthcare providers and the government at large to handle this crisis situation in a cost-efficient way.”

He says, “The urgent need is to analyze demand, determine usage, and regulate the supply of medical equipment, particularly oxygen.” India should be concerned about the importance of anticipating future events in a healthcare crisis. Analytics can help governments in times of crisis by analyzing patterns. An analysis of the relationship between Covid-19’s first and second waves would have indicated.

Country & Sub-Region

To avoid any risk to your life, it is important to combine technology and the healthcare system. Predictive analytics is a combination of data mining, predictive modeling, and machine learning. Analyzes historical and current facts to predict future events or other unknowns. Predictive analytics uses historical information to predict future events. However, The analysts also studied potential areas that could be lucrative for manufacturers in the future. Market players can gain valuable insights into the industry by using regional analysis.

This chapter includes information about profit opportunities, as well as the market share for each country. This section of the report that includes information on the market share and the growth rate for each country, region and sub-region over the estimated time period. Predictive analytics is also used by companies to forecast the demand for electricity. These forecasts allow for more effective resource planning, such as scheduling different power plants.

* North America (USA & Canada)
* Europe (UK. Germany. France.
* Middle East & Africa (GCC and Rest of the Middle East & Africa)

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