Data analytics in healthcare is improving the lives of real-world patients in myriad ways - you’ll have heard us at Permea singing its praises for some time! That being said, there are a few things HCPs will need to consider before embracing the benefits of data analytics to the fullest possible extent, and we’ll explore three of the most important ones in this blog.
July 5, 2021
What do healthcare providers need to consider before implementing data analytics solutions?
Understandably, one of the biggest concerns raised by HCPs starting out on their data analytics journey is the issue of data protection. Ensuring your organization has a responsible and secure data storage solution is the first step in taking advantage of the countless benefits analytics and artificial intelligence can offer. Turning raw data into actionable insights can only be done if the information in question is kept safely, so this should be a number one priority. Sure, it can be a substantial cost – but data breaches and brand damage tend to be much more expensive in the long run.
Deciding how long data should be kept is another key element to consider in the analytics process. Ultimately, it depends what the goals of your organization are: perhaps data gathered five years ago are no longer useful to you, or maybe your research is built upon decades of insights. Either way, this aspect needs to be treated on a case-by-case basis, and there’s no one-size-fits-all approach to data analytics solutions. It’s a good idea to stay on the safe side and assume that the volume of data in question will grow exponentially, so maybe spend some time reflecting on whether or not your provider is able to handle any potential increase with ease.
Now that your data is (in theory) safely stored in a responsible manner, it’s time to consider data cleaning. If you’re not familiar with this term, data cleaning refers to making sure that datasets are accurate, relevant and consistent – and without it, your data might not be as useful as you’d initially hoped. Some data cleaning – also known as scrubbing or cleansing – is done manually, but if you’re dealing with huge amounts of data, some data analytics solutions do offer automated scrubbing options. Using increasingly impressive machine learning techniques, data analysts are able to save a lot of time, effort and money throughout the process, so it’s worth doing your research in this area.
This might all sound quite intimidating or overwhelming – especially if you’re new to the world of data analytics and artificial intelligence, or if you’re just starting your research into different options. The thing to remember is that whatever approach you opt for, you’re actively taking steps to improve the lives of patients in the real world, which makes all the difference when it comes to remembering the reasons behind your choice to pursue artificial intelligence solutions.
It’s very easy to get caught up in the exciting possibilities that data analytics provides – something we can understand and relate to! That being said, it’s important to think about why you believe data analytics solutions are the right choice for your organization, and how they will help you achieve your targets, whatever they may be.
At Permea, we’re able to take care of all surrounding processes when it comes to secure data storage and cleaning solutions. Our end-to-end service provides you with the opportunity to focus on what matters.