Scalable, secure, and intelligently efficient


Artificial Intelligence (AI) is reaching far and wide, transforming our lives in ways we cannot imagine. From delivering relevant posts on our social feeds to setting up coffee as we wake up, it is everywhere. But how can AI impact lives in critical areas such as healthcare?

As it turns out, AI systems are already establishing their importance, capturing insights, and delivering value in the industry. But where there’s growth, there are challenges. Several organisations struggle with building scalable, secure, and sustainable AI-backed solutions. The way AI is built, its algorithms are a product of data gathered in the domain for which they are employed. Some models cannot distinguish nuances of human bias resulting in unfair outputs. Biased outputs will subsequently affect the nature of insights. Similarly, security is another significantly rising concern in the AI community. The faster organisations deploy digital transformation, the higher is the possibility of cyber-attacks. Malicious actors in digital networks can breach system defences and further manipulate the results.

However, AI has extensive capabilities to become a building block of the future. If we want to leverage it successfully, incorporating a balance of security, sustainability, and scalability in such platforms will hold significant promise. 

Leveraging AI for Novel Applications

Moving beyond formulaic uses in lifestyle devices, innovations in healthcare are creating AI-enabled solutions, revolutionising clinical reporting.

Pathology and radiology are going digital. Computer-generated screening is replacing glass slides and physical scans. Imaging professionals are maximising AI for examination of reports, and to pinpoint areas of interest. Today, they are delivering time-sensitive data from anywhere in the world, at speed. 

Considering the ongoing transformations, the medical staff of the future could well be building 3D images of a patient’s problem areas using scans virtually. Consequently, they could assess treatments before conducting them. 

There are more complex fields in healthcare, such as Genomic Medicine, where Machine Learning (ML) has much to offer. Genomics and drug discovery could contribute to AI’s growth from US$ 6.6 billion (2021) to US$ 96 billion in 2028. But why should we increase AI arrangements in this field?

Human health is inseparably bound to the living ecosystems and non-human life forms around us. It has created an enormous need for analysing bioinformatics and harnessing the genomic data gathered. As we build capabilities to face future pandemics, now is the time to introduce AI-based developments such as automated exploration, drug remodelling, and precision medicine. 

To further expand its capabilities, we can use AI-embedded devices, paving the way for greater efficiency. 

Building AI-embedded Devices for Smart Healthcare

In a recent survey of healthcare leaders by Optum, 56% of respondents said AI deployment timelines were accelerated during Covid-19. With Covid-19 cementing AI’s importance in a global health crisis, medical institutions and professionals are exploring wider applications. Using AI-enabled devices and tools, they are coming up with more accurate diagnoses and noticing minute irregularities in patient records. Repeatedly these devices are proving to be the last-mile solution between acting on life-threatening problems or fatally missing them. 

Another way AI is being leveraged is in addressing the burnout among medical professionals, a recurring challenge in our industry. Healthcare professionals need a significant amount of time for administrative activities and consequently, they reduce time spent on core responsibilities – the ones they signed up for in the first place – leaving them dispirited. Statistics show doctors barely spend 27% of their time interacting with patients. This pattern has the potential to shift, with AI assistance in day-to-day operations providing quicker diagnoses and dispensing of medication. 

Harnessing these observations to build intelligently efficient AI-embedded devices is paramount. Devices aiding the medical industry in improving turnaround times, simplifying complex results, enhancing patient outcomes, and increasing access to affordable care – all on a global scale. 

Employing Intelligence to Elevate Patient Care

Implementing AI across the enterprise for clinical tasks in all departments is possible using intelligent and efficient platforms. This resulted in building our intelligence ecosystem, Edison which increases throughput, decreases turnaround times, reduces redundancies, and improves cost-efficiency to enhance the patient’s journey. 

AI solutions are truly intuitive when they evolve with your organisation, seamlessly integrating into the workflow. With deep domain expertise, organisations are backing up such platforms with primed and compliant infrastructure to build, adapt and deploy at scale. All of this, without compromising access to reliable digital information and data security. 

In this age of internet and innovations, AI-powered solutions are transforming healthcare systems. According to NASSCOM, Data and AI in healthcare have the potential to add $25-$30 billion to India’s GDP by 2025. With concerted efforts, we will continue to enable accessible medicine through intelligently efficient platforms and drive the next wave of technology in healthcare industry.



Views expressed above are the author’s own.