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The following post was written and/or published as a collaboration between Benzinga’s in-house sponsored content team and a financial partner of Benzinga.
Big data is more than a phrase when people’s lives are at stake.
While it brings more possibilities and progress to the stagnant part of the medical industry — paperwork and records — it can also signal concerns with ethical and legal issues.
According to Accenture Plc ACN, the cloud market will reach approximately $12.1 billion for the pharmaceutical market alone in 2022, signaling the drive toward digitalization. However, this trend means that companies have to look for cloud infrastructure that is both good practice (GxP)- and Health Information Trust Alliance (HITRUST)-compliant so that data remains secure. That’s why companies like Healthcare Triangle Inc. HCTI are building solutions that can support the healthcare industry and protect data so it doesn’t get into the wrong hands.
Another concern is that without deep expertise in the ins and outs of cloud infrastructure and management, 2 out of 3 life science companies fail to achieve returns from the cloud. Some even try to use multiple cloud providers as a result, further complicating the platform. Healthcare Triangle’s CloudEz is a HITRUST-certified, secure and compliant cloud foundation platform-as-a-service that quells these worries. Pay-as-you-go allows you to meet the growing demands of your business.
In addition, staffing your cloud transition team with the right talent is crucial. Taking a development and IT operations (DevOps) approach and understanding that cloud-based data must be managed differently than a data center will make all the difference. Luckily, you can engage support from the CloudEz team for management when you integrate the platform to make the transition smooth.
Healthcare Triangle’s data management platform, DataEz, is fully managed, secure and compliant and offers artificial intelligence and analytics to boot. In the life sciences space, digitizing large amounts of data to derive insights while maintaining privacy can seem daunting. However, DataEz makes it simple by automating the process in a single click. In addition, it can be a part of the predictive modeling to diagnose patients through artificial intelligence thanks to its analytics.
The possibilities for big data in the life sciences space are endless. Take the trend of wearables like FitBits and Apple Inc. AAPL watches for example, holding massive amounts of health data, or the rise of DNA sequencing with the raw amount of data almost doubling every 18 months. Simply put, there needs to be a platform that can both support and protect the information that is most vital to human lives, and Healthcare Triangle is right there with the technology and knowledge.
The preceding post was written and/or published as a collaboration between Benzinga’s in-house sponsored content team and a financial partner of Benzinga. Although the piece is not and should not be construed as editorial content, the sponsored content team works to ensure that any and all information contained within is true and accurate to the best of their knowledge and research. This content is for informational purposes only and not intended to be investing advice.
© 2024 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.
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