In these seismically shifting times, a significant number of individuals are willing to share their private data with the authorities if it helps them track and contain the spread of the pandemic. Many countries are urging their citizens to install apps that alert users if they are in the vicinity of locations visited by coronavirus carriers.
People are willing to prioritize safety over privacy and submit their data to these authorities because this data, when parsed by intelligent AI, can help them identify common symptoms of the virus and its high-risk outbreak clusters and take appropriate measures.
Intelligent AI chatbots can help local healthcare organizations, governments, and researchers gather this invaluable data. They can also help in mapping the outbreak on national and global levels and help local resources learn and share information from globalized datasets. By doing so, they can empower organizations with in-depth insights into the latest developments around the virus and channel care and resources accordingly.
Even as an increasing number of people go through the testing procedure, the longer they await diagnosis, the less likely the tests are to be accurate. That could lead to thousands of people being misled into believing otherwise, when they could be asymptomatic vectors, unknowingly advancing the outbreak. AI could help medical professionals pace up those diagnoses and save lives.
On the other hand, these chatbots can interact remotely with symptomatic people who may have contracted the virus, and can, thus, serve as autonomous frontline diagnostic tools.
By enabling remote diagnosis, they can prevent exposure for both vulnerable or affected individuals and healthcare professionals and aid social distancing. Laterally, this can also reduce the strain on resources such as masks and other protective gear that are already stretched thin.
These highly scalable chatbots automatically follow up with targeted groups of users, post-diagnosis, based on aggregated symptom timelines, and can help the authorities in the assessment of potential outbreak clusters.
As hospitals and their contact lines get swamped by the exponentially rising number of coronavirus-related inquiries, AI-driven chatbots can help reduce the strain on overburdened support workers by addressing repetitive FAQs.
These smart chatbots can detect the consultations they can handle and automatically transfer the remaining more complicated ones to dedicated support agents for person-to-person interaction.
These AI chatbots can be trained to quickly answer predictable queries surrounding COVID-19, provide relevant information and expert advice, as well as guide users on whether they need to self-quarantine or, in the extreme cases, seek professional help at a nearby medical service. By automating responses related to transactional work like appointment rescheduling, verification of lab results, reviewing of healthcare plans, etc. with the help of AI, organizations can save time and multiply the strength of their resources in such taxing times.
Intelligent AI chatbots can help organizations incorporate tiered escalation systems surrounding COVID-19. The bots can categorize symptoms by severity into various risk groups such as low-, medium-, and high-risk patients and escalate individual cases to support professionals as needed. The categorization of symptoms also creates an opportunity to develop symptom timelines. These timelines and location-based outbreak data can be used by hospitals to prepare systemic plans for new cases, well in advance, and combat the virus effectively.
