big data

Big Data in Healthcare and Life Sciences

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The focus of this blog post is to begin to place analytics as the key capability and business improvement for the Life Sciences and Healthcare industry. I will look to give other blog posts on database types as a prelude to the pending wave around the Internet of Things (#IoT). We all know the term #BigData, and if you do a search within LinkedIn you find many articles on the topic. I want to focus on the buyers of big data solutions to solve problems specific to Life Sciences and Healthcare companies. I’ll provide the background and the types of solutions you may need to discuss with this technology.

Big Data

Big players look to improve their product offerings

A few days ago I had read with interest an article entitled “Big incumbents target big updates in big data bonanza.” The focus of the piece was how Oracle, HP and IBM were releasing updates around their big data portfolios. They include SQL, plus Hadoop, and NoSQL, and according to Dan Vesset from IDC there is no one technology that addresses all the analytics use cases. Why does this matter to Healthcare and Life Sciences?

Having a ‘unified’ data platform will be part of the industry’s analytics strategy. With so much data you need a plan that supports future search and analysis ability within your companies. IDC predicts that the overall market in 2015 to reach $125B. With Healthcare and Life Sciences to have a significant part of this market. IDC tells us that we have until 2017 to have this in place, with the Internet of Things (IoT) having a real influence when it comes to healthcare and new product innovation.

Winners and Losers in the Big Data wars

I recommend you read this great article by Brian Sommer (@Brianssommer) “The Big Data Wars – will your company prevail? Part1” and there is a “Part2.”

Four kinds of Big Data users

I would contend that if you read this blog post you are either involved in analytics or providing advice for clients on this topic. So it is helpful to know where you, and your company or client sits if you agree with the previous paragraph. While the article covers generalities I would like to propose the same viewpoint for Healthcare and Life Sciences companies.

Where do you land in the Big Data wars?     

“Wasters – companies that have access to big, external data but don’t do enough with it.” In attempting to comply with US healthcare regulations there are hospital systems that have implemented IT systems to capture data (meaningful use compliance). Have these systems provided valuable feedback to help ‘improve’ healthcare? Can data from within a hospital room be leveraged to improve healthcare for the patient? Depending on the healthcare system it is debatable, and yet it can lead to competitive healthcare improvements.

Healthcare

Conversely, Medical Device companies have to store patient related data as per regulations – are you missing an opportunity to leverage long-term historical facts to give advice for new devices? Pharmaceuticals could be connecting clinical trials data with data from wearables (I would suggest this will happen sooner than later) or doctors notes to offer greater insights into the outcome of new and existing medicines.

“Losers – These firms couldn’t be bothered by the emergence of big data.” Yes there are small group of companies that see data as a nuisance. Their happy with the way their data works today so why bother with looking at more data. To be sure not to find you in this box look at both the technology and organizational change, yet I will leave that for another blog post.

“ERP Masters – Leveraging transactional data beyond the four walls of your company.” I like Brian’s diagram because I come from several years of working with enterprise systems big data forces us to look beyond the four wall of the back office. Yes it is all about ‘integrating’ external data for more insight for the business.

  • Life Sciences companies would extend ERP systems into the clinical trial process to tie manufacturing quality and product traceability through to the delivery of the products to the patients and hospital storage locations.
  • Hospitals that look to become more profitable will look to extend patient records to include ‘remote/home’ data as a necessary next step in providing ‘value’ in the recovery process. Today’s hospital systems have yet to extend this far into healthcare.
  • The Internet of Things (IoT) will have a significant big data impact through the Life Sciences and Healthcare value chain. ERP systems are not designed to support data collection nor analysis of data.

life sciences

“Winners – These firms know more, understand more and want more.” I’ve not referenced the payers in this discussion, and that is because they take full advantage of big data to help devise healthcare plans and payment plans. Big data should be viewed and planned as a competitive advantage. Do you feel you company or clients are using big data as a spirited market advantage? Brian said it best, “They know that insights mean money, market share and margin.”

Let me know what you think? Agree or disagree…

Thanks,

Jim

Can Technology solve the Big Data / Analytics skills gap?

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Recent articles and tweets emphasize that Big Data, or Analytics, would improve the bottom line for a company as long as they are prepared to take advantage of this benefit. Some Life Sciences (those that offer pharmaceuticals and medical devices products) and Healthcare companies have a need for new tools if they are going to take full advantage of Big Data. Today companies have enterprise systems that need IT people to give the requisite report or summary analysis. Newer analytics tools like Tableau Software compliment the installed base of enterprise software with the added benefit of an intuitive way of doing user analysis that focuses more on collaboration and portability.

Backdrop

The key benefits from Big Data for Healthcare (and I will include Life Sciences in this because of the connection to pricing/payments) includes*:

  • Improvements in Drug Trial Safety
  • Disease surveillance
  • Prescribed treatments
  • Patient Outcomes

*MeriTalk and EMC recently surveyed 150 Federal executives on healthcare and healthcare research to find out if Big Data is the cure.

Today we still have data stored like this:

HEALTHCARE/DOCTORS

Companies have enterprise systems with data cubes and traditional spreadsheets that need IT to extract the data:

acos-big-data-healthcare-300x225

So how can I prioritize?

I agree with the opinion of Dr. Rado Kotorov in his article “The CIOs Top 3 priorities for 2015”:

  • The CIO role will transform from a technology leader to a business leader
  • Manage data as the enterprise’s most valuable strategic asset
  • Make Business Intelligence (BI) pervasive and ubiquitous

Consider the following

Change is imminent so consider a tool that your users can easily leverage to do key analysis, and I don’t mean Excel spreadsheets or Access database. Yesterday I went through a demo of the Tableau software (rank high in terms of “Ability to Execute” and as a “Leader” in the Gartner Magic Quadrant for BI and Analytics). In summary they have solved the problem of connecting to multiple source systems. The product is also easy to set-up and more importantly provides a means to allow for collaboration with others.

In my opinion, reaping the benefit of Big Data means finding ways to turn IT systems to supporting the users to help the business. As leaders in the industry you need to find ways to allow users to unleash their creativity and help the organization analyze and solve business problems. This may mean an additional cost in the short-term. Alternatively you can wait for the right resources or invest in replacing key parts of your enterprise landscape – either choice may not be as appealing as selecting tools to make data analysis easier. I would recommend Tableau Software

Would you agree I am open to your opinion, so tell me what you think?

Thanks,

Jim

This year’s focus

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January was an interesting month. Too many work projects that took time away from writing. Last month, WordPress provided a nice summary of last year’s topics. A look back at 2012 revealed that you were most interested in the healthcare value chain and supply chain.

2013

Looking ahead for this year I would like to focus on the following:

  1. Healthcare improvements
  2. Analytics and Mobility
    Analytics and Mobility
  3. Big data
    Big data
  4. Supply chain management (SCM)
  5. Customer relationship management (CRM)
  6. Business transformations for Pharmaceutical and Medical Devices
    Business Transformation
  7. Book reviews on relevant topics

Besides these topics I continue to see my activity on Twitter as a ‘service’ to those who are interested in the Life Sciences and Healthcare industry. Key hashtags include:

  • #pharma, #medicaldevices, and #lifesciences – how technology, social media, and regulations impact this industry segments.
  • #mHealth and #mobility – the use of mobile devices will impact healthcare.
  • #hcsm and #sm– how to best leverage healthcare social media.
  • #healthit, #it and #CIO – all topics related to IT.
  • #sales and #productivity – is a new focus for me since being active in sales

I hope to continue to blog and ‘tweet’ on topics that give help to others. I thank those of you that offered feedback on my blog posts.

Thanks,

Jim