Alok Bansal

Charles Darwin famously said, “It is not the strongest of the species that survives, nor the most intelligent, but the one most responsive to change.” The same is true for businesses in the post-pandemic world and especially for the healthcare sector as it must now adapt to new time-sensitive challenges and serve humanity in the most efficient way. Healthcare is shifting gears even as I write this, and is seeking digital solutions via AI (Artificial Intelligence), 3D-printing, nanotechnology, robotics, virtual and augmented technology, and tools that process information faster and with more accuracy than ever before.

It is becoming increasingly important to invest in technology and employ AI, Cloud Computing, the Internet of Things (IoT), and a lot more to adapt to the disruptions created by the pandemic, bridge gaps, and repair fault lines in systems and processes.

There are many ways that technology can help humanity. Advanced Nanomedicine and biological machines have the potential to help us counter cardiovascular diseases, Cancer, Multiple Sclerosis, Alzheimer’s, Parkinson’s as well as inflammatory or infectious diseases (e.g., HIV). Nanomedicine offers diagnostics at nanoscale to identify a disease at the earliest possible stage, detects a single, ill- behaving cell, and eliminates it. New breakthroughs in regenerative medicine could help patients with organ failure or severe injuries. Technology is also helping to create advances in artificial skin, bone and cartilage grafting and facilitating remote healthcare for underserved communities.

Extended reality (XR) is being used globally to train medical professionals to tackle complex surgeries. Technology is also helping with the development of sophisticated scanning devices, health monitoring apps, state-of-the-art ERs, personalised telemedicine and preventive medicine.

The idea is however not to hyper digitize the sector so as to replace the human element that is so intrinsic to caring for patients, but to support health workers in completing their tasks faster without being bogged down by repetitive drudgery. The goal is to make healthcare more sustainable, affordable and to divert human resources and precious time towards potentially life-saving research.

That brings us to the question, “What is the most time-consuming and repetitive task in healthcare?” Well, it is the documentation of patient records along with updation of their medical history. These require tedious and time-consuming work and that is where a futuristic tool like DocuVu.ai can help the health sector enormously in seamlessly systematizing, streamlining and organising vast reams of data without error or any human intervention.

For us at Visionet Systems, the challenge was to find a way to revolutionize data processing not just in healthcare but in other document-intensive industries. Visionet invested over 30 months of intensive research and development into DocVu.AI and today it has evolved into a next-generation, AI-driven Intelligent Document Processing (IDP) platform which demonstrates optimum efficacy, diligence, convenience, transparency and adaptability while processing huge amounts of structured and unstructured data. It also makes any crucial bit of information instantly accessible.

DocVu.AI comes with out-of-the-box support for 500+ documents and variants and 4000+ data points, with more being added every day. The platform captures information from documents irrespective of whether they are handwritten, long-form, or electronic and helps prioritize workflow.

With accuracy averaging around 99% and a turnaround time ranging from 30 minutes to 4 hours, this solution can galvanize any industry.  Perhaps this is why DocVu.AI recently won the ‘Most Innovative Use of AI/ML: Most Agile & Adaptable’ award at the IBSi Global FinTech Innovation awards. We understand that today it is important to support medical experts, frontline caregivers, researchers and administrators so that they can help people, as quickly as possible.

However, one area of concern for healthcare professionals and patients is data privacy as digitization also makes it imperative that sensitive information like names, addresses, medical histories, and insurance claims be secured and protected from hackers.  DocVu.AI helps prevent identity theft, fraud and tampering with processes by detecting anomalies at an initial stage and using predictive analysis to stem a threat before it grows too dangerous.

This brings me back to what Charles Darwin stated about adaptability. Healthcare companies must recognize that the time has come to digitize their systems. When service delivery becomes quicker, it will also become cheaper and more accessible.

DocVu.AI with the help of OCR, computer vision, and machine learning can help medical facilities in the extraction, analysis, search and management of datasets and achieve long-term goals faster. This is a product with built-in architectural flexibility and also has the adaptability to serve the diverse needs of large and small medical enterprises. It blends customer-centric design and advanced analytics and we will continue to try our best and develop even more advanced solutions in the times to come to serve the healthcare sector.

Views expressed by Alok Bansal, MD Visionet Systems India and Global Head BFSI Business

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