According to WHO, they don’t yet know exactly when a safe and effective COVID-19 vaccine will be ready for distribution, but they estimate that it could be in early to mid-2021. Once a vaccine is approved, it will take months or years to produce and distribute enough doses for millions of residents in the USA as well as in other countries.
Hospital systems, primary care physicians (PCPs), and provider networks will inevitably need to prioritize administration to at-risk patients, potentially focusing on those with underlying conditions and comorbidities.
Here comes the important question:
How RPA can automate administration to high-risk patients?
RPA in the form of artificial intelligence-powered digital health workers can substantially reduce the time spent prioritizing and communicating with at-risk patients. These digital health workers can intelligently analyze patient records and send communications 24 hours a day, reducing the time needed per patient from hours to minutes.
So these are two ways RPA can improve high-risk patients administration during vaccine distribution:
- To analyze EHR (electronic health record data) and population health data.
- And to automate patient engagement, communications, and scheduling.
As we mentioned before the timeline for approval of a COVID-19 vaccine is not quite clear, that’s why now it’s time for hospitals to prepare their technology and operations for the rollout. By adopting RPA in advance, state healthcare organizations and providers can set themselves up for success and ensure that the patients most critically in need of a vaccine receive it first.
Find more details on the source page.