Artificial Intelligence In Healthcare


Artificial intelligence (AI) is expanding its foothold in the healthcare industry.  In 2015, fewer startups were focused on healthcare artificial intelligence compared to 2017.  Overall artificial intelligence market is expected to grow at a rate of 63% from 2016 to 2022.  The impact of such intelligence on health care would be significant, but more important is its ability to provide a dependable solution to existing problems in health care industry especially to clinicians across the world so that they are able to provide better services to patients, enhance care experience and reduce the cost of care.  Workflows and independent tasks which are repetitive in nature would be automated through AI.  It would aid to predict potential problems in the clinic and hospital workflow, thus helpful for clinicians to focus on the issues that require immediate attention. 

With the help of deep learning efficiency, speed and accuracy of interpreting radiological images and scans would assist to diagnose conditions faster and in the case of life-threatening conditions, decisions can be taken quickly with inbuilt alerts for prioritizing activities based on the critical information.  AI can also deal with a higher degree of complexities and facilitate radiologists to focus on those images which require attention, relook at it and improve diagnostic accuracies and focused treatment.  There can also be many surprises from the data being used for predictions as AI can give highlight new insights.  Whether it is personalized medicine, prevention, and management of co-morbid conditions, AI would be making significant strides in contribution to the healthcare area. 

Identifying causes, the driving list of preliminary diagnosis and assisting in diagnosis along with customized treatment and care plans for the patient would be part of AI drove clinical decision support for provider and hospital.  The critical success factor would be the availability of exponential and structured data, quicker distributed systems and constantly improve algorithms which will understand and process the entire data.  The cognitive abilities would determine the success of AI especially augmenting human decision making, cognitive level patient engagement, and automation of routine tasks. 

There is vast opportunity untapped of freeing critical healthcare resources like physicians and experienced nurses from tedious activities of capturing, analyzing data with advancements in AI capabilities, eventually enhancing the clinicians’ knowledge and lead to productive patient care.  

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