Big data and its role in lowering medical liability costs

An in-depth look at how big data is helping to lower medical liability costs across healthcare


Big data analytics grow more impressive by the day, with savvy data scientists and intelligent algorithms capable of working together to gleam useful insights from intimidating sums of information. Despite the growth in big data's capabilities as of late, however, little attention is being paid to the impressive ways that it can lower medical liability costs as time goes on.

Few industries are finding themselves as disrupted by the ongoing digital revolution as the healthcare sector, but professionals within the industry have reason to believe that innovations like big data are here to help more than they'll harm. Here's how big data is lowering medical liability costs everywhere.

Medical liability concerns are growing

Many hospitals and healthcare providers are growing increasingly worried about medical liability, especially as it's becoming increasingly challenging to hire the needed number of professionals to keep the lights on and make sure every patient is healthy and happy.

As global populations continue to age and demand greater access to healthcare services, hospitals and healthcare professionals will find themselves inundated with medical liability claims that could prove to be exuberantly expensive and time-consuming. With the help of big data, however, the healthcare sector can rest assured that the future of medical liability costs will be manageable.

Big data operations will do this by collecting information on the patients that healthcare professionals can use to predict public health trends. Furthermore, hospitals will further digitize and automate their operations wherever possible, leading to savings which can be invested towards more patient care and a greater number of staffers. There are already reasons to believe that existing big data technology can help us save up to $2bn in waste, especially as the healthcare industry is swamped with exuberant costs that could have been avoided with the benefit of foresight.

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Another way that big data is lowering medical liability costs is by fighting back against fraudsters who would wrongfully abuse hospitals or medical professionals of giving them lackluster care. Whereas current doctors and nurses have to tread on thin ice when dealing with some patients, future healthcare professionals will be confident that the data will back up their decision and testimony in the event they get sued by fraudsters looking to make a quick buck at the hospital's expense.

As big data continues to revolutionize healthcare, its ability to sniff out crime and wrongdoing will end up saving not only lives and the energy of experts but also valuable money which can be reinvested in the healthcare system.

A new era of collaboration is here

Big data is also supercharging the medical industry's ability to fight medical liability costs by ushering in a new era of collaboration. Companies that were previously unrelated to one another can now team up to harness the power of big data in order to collect useful information and turn a profit together.

SE Healthcare Quality Consulting and Saxton and Stump have already partnered up to demonstrate how big data will be used to deliver healthcare providers actionable data which can be used to prevent harmful accidents.

Big data will effectively serve as a bridge between legal experts and medical professionals who may otherwise have never worked together. The world of medical malpractice can be fraught with both legalese and confusing medical jargon, so having experts from different industries work together to avoid liability claims in the first place will make everyone's job easier while making sure more patients avoid accidents in the first place.

Finally, big data will be used to collect tons of feedback from customers which can then be put to use to improve future healthcare operations. A huge buzz has already been generated about the way that big data analytics will be able to personalize the retail experience – in the future, so too will such operations personalize the healthcare experience, making it more data-driven than ever before. If tomorrow's doctors and nurses know more about what patients thought about the care they received, they can take additional steps to improve their expertise and avoid liability claims that could prove to be incredibly costly.

While AI continues to gobble up the lion's share of media attention, big data is proving itself to be a much more useful innovation in the healthcare sector. Big data is going to keep lowering medical liability costs, enabling healthcare professionals everywhere to breathe easier when doing their jobs. 

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