Importance of data management in the healthcare sector

Health data is being digitized at a rapid pace. It benefits healthcare organizations, practitioners and patients, wellness and health, sharing Alok BansalMD Visionet Systems India and Global Head of BFSI Business in conversation with Elets Information Network (ENN).

What are the challenges in today’s cybersecurity landscape?

With the increased focus on digital transformation, cybersecurity threats have also increased. Industries around the world face frequent outbreaks of malware and ransomware, data breaches, distributed denial of service (DDoS) attacks, phishing, and cloud threats. DDoS attacks prevent an organization from providing seamless online services. In healthcare, this means disruption in sending and receiving email needed for patient care, accessing records, and retrieving important data. Data breaches in the healthcare industry could also compromise sensitive healthcare information, while unencrypted data sent to the cloud network can lead to cloud and phishing attacks respectively. As for ransomware attacks, they quickly infect systems via malicious links, draining valuable funds and slowing down critical operations. The BFSI industry also processes tons of personal data and this is one of the reasons why we developed DocVu. AI, a state-of-the-art system that not only helps process documents faster, but also helps prevent identity theft, fraud and process tampering by detecting anomalies at an early stage and using the predictive analysis to contain a threat before it becomes too dangerous. DocVu. AI helps clients scan, search, extract, and manage stacks of documents, including industry-specific contracts, business documents, agreements, and more. This solution can be used in all industries dealing with piles of documents.

How do you see automation providing viable solutions for healthcare and the pharmaceutical industry?

The Indian pharmaceutical industry has traditionally relied on manual operations. In order to remain competitive, however, it has worked diligently to improve product quality, use raw materials efficiently, develop electronic prescriptions, and adopt information technology and automated operational technologies. Smart technologies will also be very useful in the field of drug development, in addition to the facilitation of electronic prescriptions, health record keeping and barcode identification (BI). Artificial intelligence and telecare will also play a huge role in transforming the industry. Within the next five years, we may even see 3D-printed organs for transplants and digital pills that reference innovative drug device technology that combines traditional drugs with a futuristic monitoring system. Virtual reality is also being used to model compounds and is becoming a useful tool for scientists and even surgeons. Technical developments have strongly influenced the practice of the study of medicine, disease management and the prevention of adverse drug reactions with what is now called pharmaceutical covigilance. Industrial Internet of Things (IIoT) – related technologies and approaches such as smart sensors, big data, predictive analytics, and cloud computing are some of the disruptive technologies that are revolutionizing the healthcare industry.

How do you see the future landscape of cybersecurity, automation and data management evolving in the country?

According to CERT (The Indian Computer Emergency Response Team) which works under the Ministry of Electronics and Information Technology, there were more than 6.7 lakh cyber threats in 2021. However, a mechanism proactive defense and a secure organizational environment can be made possible through the right combination of analytics, automation and intelligence. Cybersecurity automation tools not only automate processes, but they also help with Security Orchestration, Automation and Response (SOAR) products, Robotic Process Automation (RPA), and custom-developed software.

Automation solutions will make industries smarter through the use of AI, ML and data analytics. More and more companies are now adopting a multi-cloud approach. Automation also helps industries avoid vendor lock-ins, adopt agile solutions, and improve advanced identity and access management (IAM). Big data analytics will also increasingly be used to monitor consumer behavior. In short, a more robust safety culture will be adopted.

How does data management help accelerate research and operations?

The main objective of CDM is to provide high quality data with minimal errors. Clinical data management (CDM), when used in clinical research, helps generate high-quality, statistically sound data from clinical trials that will help accelerate drug development. It also increases the reliability, visibility and scalability of organizations. CDM standards, in the current scenario, need to be improved to meet regulatory requirements. This can be made possible by implementing regulatory compliant data management tools. Intelligent data management is important because it helps avoid duplication costs by scaling data and usage and streamlining repetitive processes. Computer vision and machine learning are essential for the medical field because they help in the efficient and rapid pursuit of long-term goals. Products with built-in architectural flexibility also adapt well to the needs of medical enterprises, whether large or small.


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