Are healthcare providers hesitant to embrace data analytics?

There’s a lot of discussion around whether or not organizations within the healthcare sector are reluctant to incorporate data analytics into their daily business practices – but how accurate is this claim? In today’s blog post, we’ll explore the truth behind this statement, examining the ways in which data analytics might be more ingrained into the industry than you’d initially expect.

First things first: data analytics has been present within the healthcare sector to some extent for decades. That being said, its use has mainly been focused on drug development - and, more specifically, clinical trials – rather than day-to-day patient care. With today’s boom in digitization, the number of accessible data has exploded – so what are healthcare providers supposed to do with all of this new and valuable information?

There are a number of unique challenges and opportunities when it comes to integrating data analytics into the healthcare sector – namely, it’s a field that’s growing exponentially, and a completely different way of looking at both data and data analytics. For many established organizations, it’s quite challenging to break into this very fast-changing aspect of the healthcare industry, making it an area where it’ll perhaps take some time to fully realize the potential and impact of data analytics within some individual organizations.

One of the main issues here is the fact that many organizations simply don’t know where to begin . A recent survey of healthcare providers stated that over 50% of respondents have not yet been able to define their big data needs, suggesting that more guidance is needed to support those looking to improve their business model by engaging in a more tangible way with this innovative and exciting field. 

Many healthcare organizations are aware of the many benefits of embracing data analytics, but might lack the appropriate advice to ensure they’re able to make the most of this technology. Without the right support, knowing where to start could be quite overwhelming – especially when you consider the potential risks of not storing data in a secure way.  Additionally, data quality issues plague many businesses, making the need for relevant and reliable analysis tools all the more obvious.

The ongoing COVID-19 pandemic has fundamentally shifted how we view the concept of data analytics within the healthcare sphere, and it’s clear that a growing number of healthcare bodies are adopting analytics and AI-based systems, such as telehealth and remote care services. Three years ago, it wouldn’t have been unreasonable to suggest that these forms of care were only relevant for a small demographic – however, recent events have turned this idea on its head, with an increasing number of providers now looking to access the right support and guidance to incorporate data analytics in a multitude of different aspects of their services.

Implementing data analytics solutions is a big commitment, but the benefits greatly outweigh any possible negative sides to this process. Data analytics offers innovative, evidence-based and insights-driven contributions to the sector, offering healthcare providers a golden opportunity to serve the patient as best as possible.

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