The COVID-19 pandemic has hit hard the entire world. The healthcare sector experienced tremendous pressure. The COVID-19 virus has not given enough time to get prepared. And, the steep rise in cases created severe challenges for healthcare professionals. At such challenging times, artificial intelligence has played a significant role. The healthcare sector has been putting AI in its operations for a long, buthas evolved and covered more aspects of healthcare operations than ever. Let’s dive deep and explore more exciting examples of AI during the COVID crisis.
Speech Analytics for Data-driven Response:
COVID-19 outbreak has been causing a high volume of unexpected customers calls for contact centers. It is high time for companies to provide real-time responses to their customers’ concerns consistently. AI has made it possible as:
- It analyses 100% of customers call in real-time.
- It provides insights for the most critical customers and complaints.
- Speech analytics makes it easy to prioritize concerns and providedata-driven responses timely.
Text Analytics to Facilitate Research on and Strategy Against the Virus:
To understand more about the novel coronavirus, medical researchers need to go through a huge amount of data including previous research, current&past publications, and decades of epidemiological models, etc. It is difficult to read through all of it. But text analytics can review thousands of research papers within minutes to find the relevant information.
Voice-to-Text Solutions for Quicker Patient Care:
Since doctors can’t have a record of the issues of all their patients, it’s not possible to respond in a timely manner. But voice recognition is helping doctors to keep track of all the interactions and information shared over telephone calls. A voice recognition software auto-transcribes the call recording into text and updates the electronic medical record (EMR) of the patient automatically. Thus, it reduces the turnaround time of doctors and helps them provide more accurate results to more patients.
Better Resource Utilization:
Like other industries, COVID-19 has caught the healthcare sector off-guard. Limited medical and healthcare resources are a major challenge in addressing COVID cases growing exponentially.
Data analytics is helping healthcare workers and researchers tremendously. ML models are trained to assess the risk level of patients with the help of the huge data gathered from multiple resources. Hence, healthcare providers are able to get medical assistance and arrange vital resources like masks, PPE kits and ventilators.
Early Diagnosis and Detection:
Detection of coronavirus at an early stage is crucial to control the coronavirus spread. While the CT scan takes a long time to analyse symptoms, an AI-enabled diagnosis uses computer vision to process hundreds of scans within a few seconds.
Spreading Awareness Through Bots:
AI during the COVID crisis has turned companies to bots. These bots interact with customers in real-time, respond to their queries, and spread awareness among people. The chatbots are used in various organizations to answer the queries about coronavirus and to reduce anxiety among the employees.
Facial Recognition to Detect Immunity:
Businesses all around the world are concerned about keeping the workplace safe from COVID-19 infection. Now they have got a new solution to their problem. They can use facial recognition to know the immunity status of an individual. It can also share the individual’s history with respect to COVID-19, for example, his medical tests, efficacy of tests, and whether the individual has been in the proximity of an infected person.
In the current situation of the pandemic, AI has taken over the healthcare sector entirely. It has proved to be a great help in diagnosis, drug discovery, remote trials, patient care, and more.