Data Analytics for Pharma Development &raquo; Additional Content Download

The Power of Big Data Anaytics in Pharma [Infographic]

In this infographic experts provide insight on the opportunities that exist in big data analytics for Pharma and how pharma firms can capitalise on cracking open their data silos.

Big Data in Life Sciences - Beyond the Buzz

Big data has moved beyond the big hype. The data landscape in life sciences is changing rapidly, advancing technologies, pre-competitive data sharing and huge growth of structured and unstructured data volumes available to organisations are driving big data breakthroughs. Life science companies are looking for new ways to leverage big data and turn it into actionable insights. This new infographic looks at the trends driving change in the data landscape in life sciences and the guiding principles that can help organisations.

Drowning in Data, but Starving for Knowledge? How to Define Big Data for Healthcare

Thomas R. Ortiz, is the Chief Medical Officer at Reliance Medical Group, LLC and operates the Primary Care Medical Practices in five counties within New Jersey. In this interview, Ortiz says his business would do better with more organised data streams, which would improve overall outcomes and costs. Find out how his organisation tackles the many challenges of big data within healthcare.

Creating An Efficiency Value of $1 Million With Data Analytics

Big Data in healthcare delivery is really an illusion, according to Daniel Morreale, the Vice President and Chief Information Officer at Kingsbrook Jewish Medical Center.

Other than large, academic medical centers, or medical giants such as Quest or Kaiser Permanente, a majority of big hospitals are doing very little with their big data for a variety of reasons; not the least of which is a drought of data scientists to drill down and dissect the data.

Kingsbrook discovered big data could lead to success when they started to dig into the reason for delays and broken appointments in its radiology center. Thanks to analytics, they were able to reduce their broken appointments by 25% and create an efficiency value of a little bit more than $1 million.

Real World Data: Turning Volume in Value

Real World Data can benefit multiple stakeholders within the value chain in order to support the commercialisation of strategies and provide insightful analysis for differentiation, to assist with regulatory submissions and to influence the market access strategies. However, it is not without its limitations and there a number of issues related to the consistency and repeatability of real world data in the pharma industry.

We spoke to two industry experts in order to better understand the role that RWD can play in drug development, improving patient outcomes and the speed at which products come to market.

Does Big Data in Pharma = Big Money?

As of now, big data is not used as often and as well as it should be in the Pharmaceutical Industry. Slowly the Industry is adopting data and analytics to improve itself.

Data usage could lead to accelerated drug discovery, better help patients and predict emergency rush hours. To keep reading, download the PDF file.

How to Create a Competitive Advantage with Big Data Analytics in Pharma

Nigel Hughes, Director Integrative Healthcare Informatics, Janssen R&D, takes a closer look at how access to external data is critical in today’s world and the ways data accessibility can provide pharmaceutical companies with a competitive advantage.

With large scale initiatives coming into practice, such as the European Medical Information Framework (EMIF), Hughes shares his top tips for implementing a project like this. Read this interview to find out the key opportunities and threats of utilising real world data and how the rise of personalised/ precision medicine will impact the use of data.

It is a good time to be a data scientist in the pharmaceutical industry

We caught up with Nigel Hughes, Scientific Director at Janssen, to explore the role of data analytics in the pharmaceutical industry, the challenges for those already working in data teams and the future of predictive analytics.

Best in Class Case Study with Allan Jordan

Allan Jordan strongly believes that while big data is important and can change pharma, it should not just be gathered without reason. There needs to be a purpose, and purpose is the main thing driving his latest project.

The project in question is focused on exploiting genome sequencing efforts to discover new targets for cancer treatment. A huge opportunity for positive change. Download the Case Study to find out more.

Top 5 tips to incorporate data visualisation into a successful business strategy

The biggest challenge life science companies now face is to learn how to use data, source of an enormous amount of information, and step out of the silos. Ahead of the third annual Data Analytics for Pharma Development, PharmaIQ had an exclusive interview Marie Montoya, CEO and Founder or M Montoya Consultancy, to understand how data visualisation, once incorporated into a business strategy, can help life science companies turn their business around into a cost efficient model.