Service Robots in Healthcare And Challenges in The Adoption of AI

The COVID-19 pandemic, industry consolidation, and increased access to care are some factors that have led the healthcare sector’s investment in technology. Here, we will specifically talk about the attention garnered by service robots in healthcare practices, and why?

The caregiver machines operate on their own by accepting external commands from the service provider or patient. They take the information, process it, and react, hence operating on their own. A service robot essentially keeps patients and care providers safe during a pandemic by reducing contact.

The ability of artificial intelligence to teach itself makes it more useful. Also, by inculcating AI and service robots in their day to day tasks, healthcare workers can have more time for other activities. These would include tasks involving human empathy and communications, where robots would not suffice. 

The overall technology change and its consequences would depend on policymakers’ choices in the moment of crisis, such as now and in the future. 

Challenges of AI adoption in Healthcare

Even though 91% of the healthcare insiders look at Artificial Intelligence as one that will boost access to care, 75% believe that it will threaten the privacy and security of patient data.

Comprehending the scope and applications of AI technology in healthcare is a learned skill that will emerge out of pilots and tests. Also, building an AI-ready workforce will need training, cultural shift, and a complete change in approach.

Another barrier to this transition is the cost involved. Successful AI implementation would require large investments. 

For more such AI bytes, follow this space.

Source :