Cloudera Big Data Takes a Giant Leap in Healthcare

Cloudera’s data management and analytics platform makes it easy and affordable for data infrastructure to continually derive the most value from the data streaming, data at rest, and data in motion being produced by all internal and external data sources and IoT sensors. Daniel Ng, Senior Director, APAC, Cloudera, highlights the scientific and technological innovations that are driving change for healthcare organisations and transforming the ways of treatments, in an interview with Rajbala of Elets News Network (ENN).

How are innovations in the technology space changing the pharmaceutical industry?

We have seen the health systems today often use Cloudera offerings to ingest real-time streams of data from electronic health record (EHR) systems using the Health Level Seven (HL7) standard. As big data technology is completely open to all types and formats of data, it is suddenly possible to analyse multiple EHR feeds with clinical text as they stream in and apply intelligence to them.

Notably, big data and technology has helped fight Zika, specifically in identifying patients that might otherwise escape detection due to caregiver errors or other factors. In the case of Zika, a single error or delay in diagnosis can lead to major consequences and adoption of big data can lessen this.

Big data and technology helps the medical industry gain a deeper understanding of who has a particular illness, who is likely to have it, how it is spreading, and how to avoid it in the future.

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How is Cloudera’s enterprise-ready data management and analytics platform helping the pharma and healthcare sectors to manage and derive more value from their data management mechanisms?

Cloudera supports industry to solve the big data problem with its open source platform for large-scale data processing, discovery, and analytics. For example, IMS Health (American company that provides information, services, and technology for the healthcare industry), has recently selected Cloudera enterprise to support its big data factory.

Their collaboration with Cloudera has accelerated and enhanced data acquisition, processing, and warehousing in the factory. Hospitals in France are utilising big data and machine learning systems designed to forecast admission rates, leading to more efficient deployment of resources and patient outcomes.

Also, our work with Cerner has detected sepsis early enough for successful treatment. And, as a result, hundreds of lives saved and hospital re-admission rate has decreased significantly.

Scientific and technological innovations are driving change in health-care sector which also transformed the lives of patients worldwide. Till date, Cloudera has partnered with some of the leading organisations,including pharmaceuticals, biotech, health systems, and research labs.

Daniel Ng, Senior Director, APAC, Cloudera

“We believe that data can make whatever is impossible today, possible tomorrow. As a global platform for machine learning and advanced analytics built on the latest open source technologies, we work collaboratively with the open source community on R&D efforts so that innovation is accelerated and the quality of software is enhanced.”

In a data-driven world, data is a huge asset for the pharmaceutical industry, what kind of framework or solution does Cloudera deploy to optimise the big-data structure, while supporting additional applications and future requirements of the industry?

We believe that data can make whatever is impossible today, possible tomorrow. As a global platform for machine learning and advanced analytics built on the latest open source technologies, we work collaboratively with the open source community on R&D efforts so that innovation is accelerated and the quality of software is enhanced.

From healthcare organisations, to banks, telcos, governments, and more, we have served major industry brands to help solve their most challenging problems with Cloudera Enterprise, the fastest, easiest and most secure modern data platform.

With Cloudera Enterprise, customers can efficiently capture, store, process, and analyse vast amounts of data, empowering them to use advanced analytics to drive business decisions quickly, flexibly, and at lower cost. Moreover, for successful integration of the technology, we also offer comprehensive support, training, and professional services.

 

Big-Data

Tell us about the Hadoop/open source platform and its impact on the operations of a pharmaceutical company. Brief us about any recent deployments done.

Apache Hadoop and the larger open-source ecosystem are at the centre of the big data revolution, enabling healthcare organisations to cost-effectively drive change and improve the lives of patients worldwide.

Some of the most powerful changes made possible are in the areas of precision of medicos and genomics. With solutions that contribute to the sequencing of the human genome and providing insights into population health, terminal illnesses are now treated more effectively and chronic diseases are managed in better way.

We have seen a national children’s hospital rely on our big data platform to better understand its patients, their conditions, and the quality of care they receive. We have also seen the use of sensor data to better understand and treat chronic diseases like Parkinsons. By partnering with the Michael J. Fox Foundation and Intel, we have begun to identify patterns through wearable monitors that can track patient symptoms and provide continuous feedback.

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