What can be done to better manage big data in the healthcare sector?

What can be done to better manage big data in the healthcare sector?

With healthcare providers generating unprecedented data, there has to be a revolution in management and storage

There is a demand on NHS IT anagers to solve the problem of increasing quantities of data

 

The UK healthcare sector, and particularly the NHS, has changed and reformed more in recent years than ever before. In the face of significantly reduced budgets and huge demands to reduce costs and increase efficiency, this has prompted radical cuts and the introduction of new technologies in order to reshape the industry from top to bottom. In fact, technology is seen as an enabler of change and is being adopted in a wide range of areas.

Today, in order to meet the demands for reduced costs and increased efficiency, many NHS Trusts are implementing new digital strategies and, as a result, this is generating vast volumes of data. Big data is therefore driving the need for new and innovative digital workflows, which is fostering new ways of working and transforming how patient care is delivered.

As well as reduced costs, the value of actively managing big data in healthcare also delivers a number of other benefits, including compliance with regulatory requirements, eliminating backup concerns and ensuring data is secure for the long term.

> See also: ‘Connected healthcare’ market set to be worth £37 billion by 2020

However, as the data generated by today’s pioneering work in the sector continues to grow, many healthcare organisations, including hospitals and research institutions, are finding that storing this vast amount of data in a way that fulfils a range of needs and requirements is much easier said than done.

Key criteria that organisations need to consider include how long the data is going to be kept for, whether the format that the data is being stored in will be readable when it is retrieved in the future, and at what rate the data is going to grow.

Also, meeting compliance of the NHS Information Governance (IG) Toolkit, as well as ensuring the highest standards of data security via the approved N3 network, are essential.

As an example, digital pathology is one such area that is significantly benefiting from the application of big data, but equally it is grappling with the issue of finding a suitable home for the sheer quantity of data being created.

Traditionally, pathology involves examining tissue slides under a microscope, however many NHS pathology labs are now embracing digital workflows, which involves converting the glass slides into digital images that can be viewed, managed and analysed in a way that transforms digital pathology practices.

It is widely believed that digital pathology has significant potential in achieving quicker and cheaper diagnoses and prognoses of life-threatening diseases such as cancer, and the field is seeing significant growth as a result.

Nonetheless, to put into perspective how much of a challenge storing the data generated by digital pathology processes can be, a small slide scanner running 200 slides per day at medium resolution will generate over 20TB of data per year, which has to be stored, managed and kept secure over decade-long timescales, all the while taking into account the compliance, security, cost and data integrity requirements associated with its storage.

Looking at numbers like these, and when you start to consider what is required to successfully store this data, it quickly becomes clear that digital pathology laboratories, as well as hospitals and various other medical research institutions, have a significant task on their hands. The big question being asked by the majority of specialists who are trying to get to grips with their long-term data storage strategies is, ‘where do I start?’

There is a demand on NHS IM&T (Information Management & Technology) Managers to solve this problem, some of whom are expanding their local infrastructure, while others are implementing cloud-based services such as Amazon Glacier or Google Nearline.

However, simply expanding the local infrastructure to provide sufficient space for these data volumes does nothing to ensure that it is protected from corruption or loss.

The good news is that there are specialist, managed data storage services which are positively disrupting how big data is being preserved by reducing costs, meeting NHS and healthcare compliance requirements and delivering the long-term efficiency benefits that enable digital workflows to flourish.

Therefore, IM&T Managers should consider bringing in one of these specialist providers of long-term data archiving who can implement a managed service that has been specifically designed from the ground up to provide ultra secure storage for large volumes of data for extended periods of time.

> See also: Why the healthcare industry badly needs a cyber security health check

Such specialist services also help IM&T managers solve their backup problem. In essence, if data is static and no longer likely to change (slide images being a case in point) then this data can be offloaded to much cheaper, and more secure, long-term archive storage.

By doing this, IT managers can economise by not needing to provide extensive and expensive infrastructure to maintain an unnecessarily large backup window.

While data volumes are very large, using a managed data storage service as described above does help to eliminate many IM&T Management headaches. Predictable costs and long-term contracts, along with significant local IT cost savings, also provide a very compelling business case.

Healthcare organisations across the board are looking for ways to preserve their data and I would strongly encourage hospitals, genetics laboratories, fertility clinics and digital pathologists alike to consider the integrity, security and longevity offered by a digital archiving solution, as it is by far the most effective way to ensure that data is protected.

 

[InformationAge]

April 14, 2016 / by / in , , , , , , , , , , ,

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