How Can AIOps Change Covid Healthcare

In this blog post

How Can AIOps Change Covid Healthcare

Covid Healthcare Solution – Artificial Intelligence

Researching Covid Healthcare – AI Models

Conclusion

The Covid-19 healthcare workers are facing renewed pressure in the form of early detection, diagnosis, and recovery. The implementation of artificial intelligence has the potential to help global healthcare sectors to track symptoms, offer effective treatment, and contain the spread of the virus

Covid Healthcare Solution – Artificial Intelligence

Artificial Intelligence has immense capabilities to be beneficial for healthcare, such as understanding, controlling, and eventually stopping the Covid-19 pandemic:

Early Diagnosis

A quick analysis of symptoms is necessary for early detection and diagnosis for Covid-19. One can use AI on available patient data to monitor symptoms and alert doctors if any developments or anomalies point towards the virus. Most sectors, including the healthcare sector, have invested in IT operations management software. Such solutions can be implemented on systems that analyze and manage patient data. Once patient data has been investigated for Covid, medical imaging solutions can be used along with AI to detect and diagnose. These technologies include computed tomography and magnetic resonance imaging or MRI.

Automatic Monitoring

As the Covid-19 pandemic continues, healthcare engineers and professionals have tried to control the spread of the virus. The control that has been possible at a global stage has been due to platforms built to implement AI solutions. Artificial intelligence solutions can automatically track the spread and mutation of the virus. When one can monitor the patterns in the spread of the virus, it is possible to create effective treatment plans. Once healthcare professionals have accurate data on how the virus may spread, they can monitor the patient’s symptoms and provide preventive medication or treatment.

Contact Tracing

The primary cause of the Covid-19 virus spreading is human contact. Therefore, contact tracing is necessary to predict the spread and identify different locations as hotspots for faster containment of the disease. Professionals can use AI for automated contact tracing and analysis of symptoms in specific clusters. This helps to understand the nature of the infection among distinct groups and create containment zones. Contact tracing with artificial intelligence solutions can also help predict the further spread of Covid and if any strain can reappear.

Forecast Condition of the Disease and Spread

In Covid healthcare, prediction of how the disease will spread and affect people is crucial. This helps healthcare workers develop better strategies to minimize the effects and prevent the disease from spreading. Healthcare researchers can implement artificial intelligence to analyze real-time data on the pandemic. Data related to the spread of the virus, appearance, and reappearance of symptoms, severity of infections, and after-effects of the disease is essential. Analysis of such data with the help of AI can accurately predict how the disease will evolve. Healthcare workers can rely on the insights to work on the development of treatment methods.

Drug and Vaccine Research

While forecasting the spread of Covid-19 is crucial, AI can also assist in developing medications or vaccines. Recent research on potential drugs and vaccines to prevent Covid has implemented artificial intelligence. Artificial intelligence can be used for drug and vaccine research in two different aspects. The first is to accurately analyze available data on the virus and its impact. The insights can help to develop accurate designs for effective vaccines as well as in clinical trials. The second aspect where AI is used is testing drugs for Covid. AI automation can speed up the process of drug testing so that drugs can be developed faster and without any error.

Minimizing the Workload for Healthcare Workers

The Covid-19 pandemic has impacted every individual, but it has been particularly risky and taxing for healthcare workers. While the constant exposure to patients has made them highly vulnerable to the disease, healthcare workers have also been dealing with an exponentially increased workload. Artificial intelligence can help minimize that workload, primarily through the automation of everyday processes. If implemented correctly, AI can manage patient data, monitor symptoms, and even run tests, if necessary, thus effectively reducing the workload of doctors and nurses.

Researching Covid Healthcare – AI Models

As different industries adopt AIOps digital transformation solutions for enhanced business processes, the healthcare industry is also focused on leveraging similar AI solutions. In Covid healthcare, artificial intelligence can be combined with three specific models.

Global Epidemic and Mobility (GLEaM)

GLEaM is a model that is crucial to understanding and controlling the spread of the virus. Through the GLEaM model, artificial intelligence is used to predict the impact of Covid on a global stage. It is also effective in Covid healthcare research and case studies. Researchers can use this model to analyze and build hypotheses related to the pandemic and its spread. The GLEaM model also helps doctors determine the efficacy of treatments and predict the need for further research on vaccines or new drugs.

Susceptible, Infectious, and Recovered (SIR)

As mentioned before, the containment of the virus is an integral part of Covid healthcare. The SIR model assists with this part of the healthcare sector. It is a mathematical model through which one can apply artificial intelligence solutions. While it helps track the spread of the virus, the SIR model is also effective in monitoring the impact of the virus on people. It determines the course of the virus and the condition of those who are ” susceptible, infectious, and recovered”, and doctors use the insights to try and increase the number of recovered individuals.

Transportation Analysis and Simulation (TRANSIMS)

TRANSIMS is a system aimed at predicting the spread or the “transportation” of the virus in or across certain regions. The data analyzed by this model is based on people’s travel patterns. Data on human interactions can also offer essential insights on the spread of the Covid-19 virus and can be analyzed for accurate contact tracing. The TRANSIMS model can analyze travel patterns and simulate them for a specific person or a group of people for 24 hours. This helps to correlate the spread of the virus to traffic, congestion, and other such factors.

Conclusion

IT Automation with AI is present in every industry and healthcare. Similarly, AI automation extends to developing a potential treatment for Covid patients. AI can minimize further spread of the Covid-19 virus and help eradicate it ultimately.