Will artificial intelligence take over healthcare jobs?, Health News, ET HealthWorld

Will artificial intelligence take over healthcare jobs?

New Delhi: The onset of the Covid-19 pandemic unveiled the vulnerabilities in the healthcare system, which as a result, highlighted the need for automation in the sector in order to streamline processes better and facilitate quick decision-making.

Artificial intelligence, machine learning and deep learning are some of the significant contributions of technology which have proved to be valuable for the healthcare sector. The process of collecting and analyzing health data was once thought to be time-consuming and prone to errors, but the development of these technologies have made it easier while producing accurate results. Moreover, administrative tasks such as pre-authorizing insurance and maintaining records demanded extensive effort but integrating AI into the healthcare ecosystem has eased the workload of healthcare professionals by automating these tasks and saving money in return.

Apart from that, machine learning has made early disease detection possible, which has further enabled patients to target quick treatment and cure, thereby decreasing the number of hospital readmissions. Also, the emergence of AI-enabled chatbots has revolutionized how medical operations are performed, speeding up supply and delivery and enabling professionals to interact with and care for patients. According to McKinsey, 70% of purchasing decisions are influenced by the way the client believes they are being treated. Because of this, many startups are now placing a high priority on smart customer service strategies that use AI-powered tools like chatbots, voice search, and virtual assistants.

The rapid growth of technology and its incorporation into the healthcare system was initially seen as a threat to human jobs but in reality, it has opened the room for endless job opportunities. Undoubtedly, technology is automating repetitious jobs, but this does not imply that human intervention is no longer necessary. Someone who possesses an in-depth knowledge of technology and understands its application is needed to oversee machine operations. This, in return, underlines the need for upskilling and updating in regards to modern-day technology in order to make a valuable asset to healthcare institutions. Hence, today upskilling has become the need of the hour as it will not only provide you with a rigorous understanding of modern technologies but will also make you fully equipped with its right application.

AI, ML and deep learning in healthcare

The integration of AI, ML, and deep learning into the healthcare ecosystem has produced a wide range of advantages that have improved healthcare delivery and reduced costs. Earlier identifying the critical areas of patient care was considered to be time-consuming but with AI, determining those areas and recognizing an ideal treatment has become an easy task. In fact, wearable technologies nowadays also incorporate artificial intelligence with the goal of better serving patients by giving them health insights and warning them of potential problems and risks. According to International Data Corporation (IDC), the wearable market in India grew 144.3% year on year (YoY) in 2020. These statistics provide some insight into the reasons why a large number of entrepreneurs are emerging in the wearable technology space. Furthermore, as we advance, there will be growing reliance on data, which will cause a boom in demand for wireless devices.

Moreover, there are moments when patients fail to realize a health condition before its too late but with the advent of machine learning, quick disease detection has been made possible, which has further enabled prompt treatments. In addition, it has made the procedure for compiling and maintaining extensive data as well as performing diagnosis simpler. Deep learning, on the other hand, is proving to be helpful in recognizing patterns, employing algorithms and data to give healthcare professionals automated insights that may then be used to modify patient treatments. For instance, IBM created Watson with the goal of addressing important patient-care issues and utilizing data-driven insights to provide treatment choices.

Automation: Doorway to increased healthcare job opportunities

With automation dominating the healthcare ecosystem, it is being believed that it would take away job opportunities. However, in reality, human intervention is still considered to be valuable in terms of determining the best application and overseeing machine operations. According to a Gartner report, advanced machine learning may potentially increase the number of job prospects in the healthcare sector rather than decrease them. In fact, there is a dire need for professionals who understand the technology and know its right application, thereby proving to be a great asset to healthcare institutions.

Here updating and upskilling has become an absolute necessity which has further emphasized the need for tech-backed courses. Moreover, given the pace of technological developments, new skill sets would be required, which would again result in the creation of new job opportunities. And to develop those skill sets, enrolling in technology-enabled courses is a must.

New-age technology: The future of healthcare

In light of how new healthcare conditions are evolving, modern-day technology is bound to be at the behest of the creation of novel and original treatments. Artificial intelligence, machine and deep learning have undoubtedly simplified healthcare management. These technologies have contributed significantly to the development of new medications, tailored therapies, and patient condition assessments.

Considering the changing nature of technology, it is anticipated that new advancements will come to the fore altering the functioning of the healthcare system. To meet the demands of the new developments, new skill sets will be required, resulting in massive job opportunities.

Source link

Author: DelhiStyle

Leave a Reply

Your email address will not be published.