Reply, restore and resume | SAS India


Phase 2: Recovery

When considering recovery, there is the short-term focus, patients recovering from their illness, and long-term focus, the economic and social recovery.

Many COVID-19 patients will recover fully, but there may be a subgroup for whom there are long-term chronic health effects. This will affect both providers and payers. Analytics can help ensure good health outcomes while helping to predict and manage future costs and resource effects.

As we begin to emerge from isolation and businesses and government functions begin to resume their efforts, the reboot is unlikely to be a smooth one. For example, how should clothing manufacturers and sellers handle the inventory that has now moved into the approval area? As for health care, how do hospitals and doctors handle the huge backlog of routine visits to the doctor and optional surgeries that were exposed?

Every aspect of society and every industry will have challenges when everything is restarted. This makes the use of AI technologies, such as machine learning models, even more important to match demand (of goods and services) with demand – and understand how demand patterns have shifted and will continue to shift for days, weeks and months to come.

When considering recovery, there is the short-term focus, patients recovering from their illness, and long-term focus, the economic and social recovery.

Many COVID-19 patients will recover fully, but there may be a subgroup for whom there are long-term chronic health effects. This will affect both providers and payers. Analytics can help ensure good health outcomes while helping to predict and manage future costs and resource effects.

As we begin to emerge from isolation and businesses and government functions begin to resume their efforts, the reboot is unlikely to be a smooth one. For example, how should clothing manufacturers and sellers handle the inventory that has now moved into the approval area? As for health care, how do hospitals and doctors handle the huge backlog of routine visits to the doctor and optional surgeries that were exposed?

Every aspect of society and every industry will have challenges when everything is restarted. This makes the use of AI technologies, such as machine learning models, even more important to match demand (of goods and services) with demand – and understand how demand patterns have shifted and will continue to shift for days, weeks and months to come.

Phase 3: Reimagine

Reimagining is about future-proofing your organization by building resilience. New waves of COVID-19 may occur later in the year or in 2021, and this will retry our response / recovery capability. Analytics can greatly advance our ability to prepare for future waves of COVID-19 or other pandemic threats by identifying and understanding vulnerable populations and their risks.

It is important to understand that for businesses, organizations and governments, these disruptions can occur with a certain frequency and may be more localized. Having a contingency plan ready for events is crucial for all levels of government and for every industry.

But it is not just an effort to rebuild. It is an opportunity to consider how to operate and apply lessons learned during this outbreak and how to be more agile and responsive in the future. Data and modeling have clearly been used to answer many questions and will play an even greater role as we begin to move forward.



Source link