Shaping Healthcare Artificial Intelligence: The Next Frontier

Working remotely has become the new normal with ongoing Corona virus pandemic, and hence continuity of business operations has to rely more on digital technologies and digital capabilities of a company. AI is one of the technologies which can create an an impact on human productivity, proclivity and possibilities. It creates large data which is accessible.

The pandemic has simply contributed to the rise in adoption of Artificial Intelligence ( AI) and machine learning, now the frontrunner amongst other technologies, to drive the digital transformation efforts in organizations. During August, CII organised EMPTECH 2020 – a virtual exposition and webinar sessions, to enable participating companies assess and select affordable technology suitable for their business needs.

Artificial Intelligence (AI): The Next Frontier for Mankind, was one such ssession held on August 21, organized by CII’s Centre for Digital Transformation (CDT). The webinar panel consisted Amit Sinha Roy, Vice President-Global Head of Marketing, Tata Communications, and session chair, Ms. Mandeep Kaur, HR Leader, IBM India, Deepak Sharma, President & Chief Digital Officer, Kotak Mahindra Bank Ltd and Dr Sujoy Kar, CMIO Administration, Chief Medical Information Officer (CMIO) and VP – Apollo Hospitals: with objective to identify use of AI in their respective business ecosystems.

Deriving Business Value from Data

Role of artificial intelligence has become more important because of healthcare transformations taking place in the background of Covid-19. Dr. Sujoy Kar, chief medical information officer and VP, Apollo hospital, spoke on shaping healthcare through AI. He said, at times, to handle criticality, it is better to have right data to take the right decision. Sometimes, data is so much that it would not be possible to go through all the information, so artificial intelligence allows us to be able to respond to information from various sources at the laboratory technology, and then able to take some decisions and to deliver. He talked about what exactly is healthcare scenario in context of AI and what is AI in context of healthcare. And how do we derive the business value data (healthcare data), and how we have to define the characteristics of data.

He deliberated, the elements of big data include High volume, velocity, variability and scalability. The enormous amount of data we get from individuals and Institutions world over. The variability is pretty unit in Healthcare towards the data. About volume and variability in Healthcare data, there is a growing discussion around velocity and scalability. And, it’s a fundamental requirement to leverage benefits from the tech-capability term to get meaningful data of a patient. The organisation can build faster capability from multiple sources: medical devices, variables, personal health genomics and governmental data at one platform; storing and using volume of data effectively for more and more meaningful purpose. Further, he talked about four innovation challenges: People desirable which comes with solution that people love; Business Viable which comes with business solution that the customer connect and are ready to pay; Technical Feasible which comes with a solution that is technically solved and lastly Clinically Valuable, which comes with solution that improve outcome and reduce risk. He spoke about what is the value equation, and cited a paper, “A brief Introduction to Machine Learning for Engineers by OS Valdo Simeone, Department of Informatics, King’s College London. About when to use machine learning, he says, it helps to improve the task that maps well defined input to well define output, and it helps definable goals.

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