CitiusTech is a specialist provider of healthcare technology services and solutions, with strong presence across the globe. As a strategic partner to some of the world’s largest healthcare organizations, CitiusTech plays a deep and meaningful role in accelerating technology innovation and shaping the way healthcare is delivered to patients.
Here, Swanand Prabhutendolkar, Senior VP of Data Management, CitiusTech, tells us more. Excerpts from an interview:
DQ: How connected are you, overall as an enterprise? What areas remain unplugged?
Swanand Prabhutendolkar: Given our focus on the global healthcare market, we have been an early and active adopter of technologies that enable digital connectivity. We do significant work around IoT, medical device integration, Big Data, analytics and cloud computing for our customers, addressing areas such as patient engagement, telehealth and care co-ordination.
Within CitiusTech, we have been active users of digital tools such as Microsoft Teams, Yammer, WebEx, etc. to create a highly connected ecosystem with our customers and employees. The Covid-19 pandemic has accelerated our adoption of tools that help our teams function effectively in a Work from Home situation.
DQ: What are the fastest-growing verticals for connected enterprises across India? How are you performing across them?
Swanand Prabhutendolkar: As a provider of healthcare technology to companies outside India, we have limited visibility into Indian enterprises. However, we believe that there is significant scope for digital technology to transform patient engagement and quality of care across the healthcare ecosystem in India.
DQ: How will the future intelligent enterprise be built on interconnected systems?
Swanand Prabhutendolkar: Data management will be the most fundamental step, and possibly the most complex too. The ability to aggregate, process and leverage data will be the backbone of successful digital transformation and intelligent enterprises.
The challenge is not so much the availability of data, but the vast spectrum of formats, standards and contexts in which data resides. There are too many legacy applications, data sources and processes floating around within organizations, which makes data management a complex and resource intensive task even today.
Bringing massive volumes of data together and driving intelligence from it, will be the primary challenge for organizations as they work towards building interconnected systems. Next-gen technologies like IoT, Big Data, cloud, edge computing, ML, etc., will be instrumental in driving this transformation.
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