19 May 2023 | Noor Khan
The ability to look back at what has been done, analyse the results, and improve going forward is a staple function for any business, but when it comes to the healthcare industry – it can literally save lives.
Being able to apply monitoring and analytical processes to healthcare data solutions means that historical data and current information can be compared, evaluated, and used to improve outreach, predict trends, and even manage the spread of vital information or resources during times of need.
Healthcare technology trends are proving that technology is the future – and analytics were valued, as an industry, at $35.3 billion (USD) in 2022, and expected to expand at a compound annual growth rate of 21.4%, with projections estimating a value of $96.90 billion by 2030.
A huge amount of data is collected daily from every business, and in the case of the healthcare industry, this information can be analysed and used to:
One of the biggest challenges involved in measuring healthcare data, is ensuring privacy and compliance with legal obligations surrounding patients – this is especially tricky when it comes to confidential medical records.
Another challenge which healthcare data analysts face, is the sheer amount of data produced on a daily basis and ensuring that the right infrastructure and tools are in place to manage the flow, storage, and removal of information.
Using the processes for predictions is also not without risk, as historical data can be difficult to utilise when compared to modern standards, current advancements in technology, and the unpredictability of some health issues.
The benefits of handling healthcare data analytics properly are considerable – from reducing time (both internally with staff, and externally with patients), and reducing cost, to identifying new risks, and specific trends, mean that this process can provide a vital uplift to healthcare businesses, and ensure that they are operating both effectively and efficiently internally and externally.
Getting started with the process can be time-consuming, but worth the effort. It is important to identify what sources the data will be drawn from (such as medical records, patient surveys, administrative databases, etc), what metrics will be applied and monitored, and how the data will be handled throughout the process.
If you are looking to start, or improve, your healthcare data analytics or undertake and implement digital transformation in your company, we would be happy to provide you with expert advice and assistance, to ensure your structure is suitable for your current needs, and those in the future as well.
Our clients hail from a wide variety of industries including those from Healthcare. We have worked with healthcare organisations around the globe to automate systems and processes, streamline data collection and leverage technology to save time and resources. If you are looking to work with a credible, reliable and trusted data engineering and software development provider, with a proven track record of success we can help. Get in touch to find out more or explore our data and software services.
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