Don’t Get Bogged Down:How to Keep Your Data Lake from Turning into a Data Swamp
What is the key to driving digital innovation with data analytics—and where should healthcare leaders begin?
What is the key to driving digital innovation with data analytics—and where should healthcare leaders begin?
What is the key to driving digital innovation with data analytics—and where should healthcare leaders begin?
According to a recent Accenture analysis, two out of three life sciences organizations struggle to achieve optimal return from their investments in cloud computing. This is unfortunate, considering that the cloud is clearly emerging as a game changer in pharma, biotech, medtech and other companies in this space. In pharma alone, the cloud computing market is expected to reach $12.1 billion in 2022, up from $4.7 billion in 2017.
For over 20 years, the government and the healthcare industry have been trying to figure out how to make EHRs a meaningful tool that benefits providers and patients. But healthcare organizations typically face numerous obstacles to achieving that end. Recently, Healthcare Triangle partnered with CHIME to hold a focus group of healthcare CIOs to identify the most common roadblocks they face in optimizing their EHR.
Healthcare IT departments are facing a growing challenge: how to protect business continuity across platforms amid increased ransomware attacks now that healthcare is the most targeted industry for cyberattack.
The life sciences and the pharmaceutical industry have always been in the throes of change—be it a radical medical breakthrough or a unique product and service innovation driving the wave of digital transformation.
Seven out of 10 physicians have used the same electronic health record (EHR) for more than five years, a Medical Economics survey found. Yet one-third of physicians still struggle with EHR usability: 38% want a system that is easier to use, and 33% want customization options.
From genetic breakthroughs that could transform treatment for complex conditions to new biosensor technologies that could revolutionize diagnostics, new innovations have led to a radical reimagining of the future of life sciences—and cloud-based platforms are at the center of this transformation.
We’re in an era where pharmaceutical companies can predict whether an individual will switch to a new prescription drug based on data captured from that person’s Twitter feed. But many life sciences organizations struggle to rapidly analyze the treasure trove of data they now have access to—and it’s holding them back from innovation.
There is a burning need for blockchain in pharma. Today, large pharmaceutical companies are betting on blockchain to help accelerate drug development and discovery, better understand how certain chemicals affect specific demographics, and improve their supply chain, all by securely sharing data in real time.