How Cloudera data analytics supports healthcare industry?

Healthcare data analytics finds applications not only in clinical diagnostics and patient care, but also in detecting epidemics, enabling genomic analysis, and delivering on the promise of molecular medicine.

In addition to healthcare providers, researchers, medical device designers, and pharmaceutical developers also leverage big data analytics to gain deeper insights to improve their areas of focus.

As per the report from BIS Research, healthcare analytics market was worth $14.25 billion in 2017 and is expected to grow to over $68.75 billion by 2025.

Cloudera, a data analytics firm, recently added three healthcare companies as its clients.

GlaxoSmithKline (GSK) has integrated Cloudera technology on GSK R&D Information Platform to gain holistic view of all data within R&D and give researchers an immense analytic advantage.

With Cloudera, GSK has reduced the time taken to assemble and analyze data from across multiple clinical trials from several months to a few minutes, the company claims.

With greater efficiency and faster processing across R&D, GSK also expects to improve time to market, bringing new drugs and vaccines to market more quickly and less expensively to help patients.

Cloudera also partnered with Quanam, a multi-Latin federation of firms specializing in consulting and management, professional services, communication and change management, to support its goal of improving clinical diagnosis.

Quanam, in partnership with GenLives, had set the goal of allowing clinicians to make more accurate diagnoses in shorter timeframes. They needed a way to isolate the information responsible for causing pathogenic conditions. Geneticists also had to sift through millions of existing academic papers manually, trying to identify these conditions.

With Cloudera, Quanam and GenLives could build a big data platform that could withstand demanding storage and computing requirements to process multiple complex algorithms. It helped them analyze and store large volumes of data and offered a foundation on which machine learning algorithms could be run.

Upon implementing Cloudera, clinical geneticists can now make more informed decisions on the dangers of genome variants. DNA sequencing now takes a matter of hours, rather than an entire day. This resulted in a faster diagnosis, from an average of 5 years, down to 8-10 weeks, Cloudera said.

Quest Diagnostics, a provider of diagnostic insights focused on improving patient outcomes, is another healthcare firm that selected Cloudera platform to improve clinical results.

Serving almost half of the physicians and hospitals in the U.S., Quest now uses Cloudera Enterprise to easily combine structured data from its data warehouses with unstructured data from a variety of sources.

With all the data together in an enterprise data hub, the platform can support a variety of initiatives, including advancing data science, data warehouse, and operational database workloads.

Quest also uses Cloudera Navigator to monitor data access, enforce policies based on the Health Insurance Portability and Accountability Act (HIPAA) requirements, and demonstrate compliance.

The data lake can present insights that drive operational efficiency, enrich our clinical reports, and support the growing need to manage population health and lab utilization, according to Quest.