How Did Healthcare Adopt Artificial Intelligence After Covid-19
85% of Healthcare are with Artificial Intelligence
The Covid-19 pandemic had a devastating effect on everything including the healthcare system. To Limit the spread of the coronavirus, telemedicine, monitoring, consultation, and online healthcare support become critical in assisting society. This accelerated the adoption of artificial intelligence (AI) in healthcare for achieving better, more equitable, and improving patient outcomes.
It's very true, Healthcare service providers increasingly believe in the power of Artificial Intelligence in improving the outcome of patients, and promoting health equity. Because Artificial Intelligence helps healthcare systems in strengthening and scaling essential functions and also reducing the administrative burden. So that hospitals and clinics can focus on their core mission of effective patient care.
Survey responses point to the healthcare industry with the covid-19 pandemic as a backdrop. 85% of healthcare leaders are with an artificial intelligence strategy and 48% have implemented it. Overall healthcare industry either has implemented AI or is planning one.
It is trusted by healthcare leaders that AI helps support non-clinical and administrative processes because the manual process of non-clinical and administrative work takes away time. By adopting artificial intelligence in Healthcare after Covid-19, clinics and hospitals can spend time with patients and deliver care that leads to quality patient outcomes.
Healthcare has adopted artificial intelligence after covid-19 and the responsible use of artificial intelligence continues to provide important opportunities for healthcare.
To streamline administrative processes, and consultation processes and provide more effective patient care, Healthcare has adopted artificial intelligence after covid-19. The use of Artificial Intelligence enhanced the experience of both healthcare providers and patients.
The Healthcare department is using AI to oversee early-stage diseases. To diagnose and detect life-threatening diseases at an early stage be it heart disease, cancer disease etc exponentially faster than humans. It makes the doctors and caregivers enable to better monitor and detects potentially life-threatening diseases in more treatable stages.
Beyond scanning the records and streamlining administrative work, healthcare has adopted AI for disease management, better coordination of care plans, and better patient management plans with a long-term treatment program for fast recovery.
For decades, Healthcare has been using robotic techniques for medicines and surgical procedures. But with technology development, it is used in various hospitals as well as labs for performing repetitive tasks. In physiotherapy and rehabilitation, to support long-term conditions, AI is used nowadays
Drugs research and discovery is the most recent application where AI is used to streamline the drug discovery process. With the help of AI, the procedure of drug research and bringing new drugs to market became less time-consuming and most effective.
To conduct the training, in response to the queries of trainees, AI is being used. It made the process run smoothly and training can be done anywhere. With the power of Artificial intelligence, training can be conducted on a smartphone. Now quick catch-up sessions after a tricky case in a clinic or while traveling will be possible.
Conclusion:- It's so true that emerging trends in healthcare bought potential benefits in form of improved outcomes. To prevent the spread of COVID-19, even after the pandemic, healthcare is using AI for making the work go with the flow. It’s very true about Artificial Intelligence that it is getting increasingly sophisticated at doing what humans do, but more efficiently, more quickly and at a lower cost. As compared to manual systems, the potential for AI in healthcare is vast. It is revolutionizing healthcare. It is not just limited to analysis of the problem of the patients but it can change the lives of patients. It helps in improving diagnostics, and treatment and also help the patients and healthcare providers make an informed medical decision quickly.