Health informatics

Dev Singh, Health News, ET HealthWorld

by Dev Singh
Founder & CEO, AiRo Digital Labs Pvt Ltd

So far, 2021 has turned out much better than its predecessor, there’s light at the end of this long tunnel and the Covid-19 vaccines are here. Considering the vaccination progress so far, it seems as if the entire world will be vaccinated by the third quarter of 2021 and things will go back to the way they were. Or should they?

Covid 19 has exposed the glaring inefficiencies in global healthcare systems and has alerted humankind to the importance of an efficient and effective healthcare infrastructure across the world. Healthcare continues to be the most inefficient and ineffective industry in the world. We have let the virtuous purpose of improving patient health outcome, become an excuse for lack of operational efficiencies and infrastructure lacunas that finally led to so much fracas and confusion at every stage of our Covid-19 fight. A major contributing factor to such inefficiencies is that healthcare continues to be the most tech-laggard sector in the world.

Although IA (Intelligent automation) is not a fix-all technology, it certainly provides the power toweed out inefficiencies which have long since plagued healthcare.However, it will take a lot of executive will and execution excellence to harness the full potential of intelligent automation technology and improve the health outcome of the nation.

I think it’s the right time for the healthcare industry to take the next leap to Digital 2.0, to embrace the combination of AI + Machine Learning + Intelligent Automation. This will not only help in reduce wastage in day-to-day operational hassles but will also make them more cost-efficient. This change in mindset has already positively impacted millions of lives, enabling interoperability, improving patient outcomes and patient experience, while reducing the cost of care.

The possibilities of Intelligent Automation exist in almost all functions across the Healthcare Value Chain, across Core, Support and Enterprise functions. Some prime examples are Automating the back office revenue cycle management, automating payer-provider collaboration, AI-driven care continuum to improve patient outcome, Voice-enabled Patient experience supported on the back-end by Intelligent automation, Tele-monitoring and Telehealth supported on the backend by IoT converged with IA, Population health management and analytics with the help of Data sciences and IA, Healthcare interoperability between various stakeholders to provide seamless and accurate care to the patient, Voice-AI driven clinician augmentation to enable efficiencies in the ambulatory and acute care settings, etc.

In summary, each healthcare organization may have different approaches to make themselves more efficient at improving patient outcome. However, the bottom line remains the same, the advancement in automation is here not to dehumanize the working of healthcare organization but to support and empower its everyday operations and consumer experience, while driving down its cost of service. We see intelligent automation as the much needed bridge connecting all of us to the future of the healthcare industry.

(DISCLAIMER: The views expressed are solely of the author and does not necessarily subscribe to it. shall not be responsible for any damage caused to any person/organisation directly or indirectly.)

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