Predictive Analytics In Healthcare: What You Should Know

Traditional analytics takes data from the past and compiles it so that we can see trends and information from the past. What if you could flip this process around and use data to predict key events and information before they occur? 

This is exactly what predictive analytics can accomplish. This advanced branch of analytics can be used in a variety of industries. But it also has the power to reduce healthcare costs while improving patient outcomes. Let’s take a look at what you need to know about predictive analytics in healthcare.

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What is Predictive Analytics in Healthcare?

Imagine if you could see the future in regard to healthcare. Knowing someone was likely to get a certain disease or illness would allow you to prepare for that. Doing so would give them a greater chance at recovering or may even allow them to recover quicker than they would have otherwise. In healthcare, getting even a small glimpse of the future has the potential to change lives.

This small glimpse at the future is what predictive analytics aims for. It is an attempt to use a variety of data to predict what will happen next. This is done by taking the data and matching it against trends or comparing it to statistical models. After this is done, we can take a guess at where things are heading based on where they have already been. 

What Can It Do for Healthcare?

As already mentioned, a look at the future has the potential to change a specific healthcare approach dramatically. 

For example, predictive analytics can assist in triage. Algorithms have been used to determine which patients are most likely to need intervention soon. By making this determination, predictive analytics allows patients in severe conditions to be treated before their condition becomes even worse. 

Predictive analytics has other applications as well. It can be used to help determine the condition of patients as they are discharged, identify problems with equipment, and much more. As the technology develops, the potential for predictive analytics is huge. 

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Benefits of Predictive Analytics

Scientist using a machine to analyze sample

Predictive analytics has the potential to provide a wide range of benefits. However, there are a few key benefits that already stand out. 

Improved Decision-Making Process

The most obvious benefit of predictive analytics is that it gives providers an edge when it comes to decision-making. 

Healthcare professionals have the tools to diagnose a wide range of problems and conditions. They are trained to do exactly this. However, not everything is noticeable on the surface level or even on a few levels beneath the surface. Sometimes, the answer to a question is spread across information that is so varied that it is impossible for a human to distinguish. 

This is where predictive analytics is helpful. This technology is able to take in information from every source available all at once. Small signs from multiple places are all put together to form a greater picture of what is going on. It then compiles all of this data to make a recommendation. This recommendation is based on everything currently known at that point and, because of this, is as accurate as possible. 

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Better Patient Outcomes

By improving the decision-making process, predictive analytics helps improve patient outcomes. It does this by providing a better picture of their health and transmitting this information to the healthcare professionals involved. This allows for better treatment overall

However, it goes beyond what happens in a healthcare facility. Predictive analytics is a huge asset when it comes to providing care after a patient leaves the facility. Predictive analytics can provide additional recommendations by taking stock of the patient’s situation before discharge. These could include suggestions regarding how a patient should be treated after they leave or could be an alert regarding how soon they may need treatment again. In either case, it allows the patient to stay healthier in the future. 

Relief for Healthcare Workers

Predictive analytics doesn’t just help patients; it also is a big asset for healthcare workers. This is becoming increasingly helpful as physician burnout and depression are on the rise. 

Part of the way it helps is by simply making healthcare workers’ jobs easier. In assisting with the decision-making process, predictive analytics provides healthcare professionals with another tool. They can use this tool to treat patients easier and more effectively. In this way, they may even find more time to do other necessary tasks.  

Another way it helps is in logistics. By assisting with triage, predictive analytics makes the triage process easier and streamlines hospital admissions. With less time spent on activities like these, more time can be spent actually treating patients. 

Finally, it helps in planning for the future. By giving healthcare workers a picture of a patient’s future health, they can prepare properly for what is coming. This could have an impact on how the staff is arranged or how they operate. 

How Can You Take Advantage of Predictive Analytics

Doctor checking a patient using a stethoscope

While there are plenty of benefits to using predictive analytics, not everyone is sure how to begin taking advantage of it. Luckily, there is a solution. 

First, it is necessary to find a platform that offers predictive analytics. This platform needs to be able to take in data from numerous sources while also working with your hospital’s system. Platforms like Xcellent Life are capable of doing this. 

Xcellent Life takes in data from a variety of different sources, including real-time human diagnostics. It then uses a three-dimensional proprietary prediction algorithm to make determinations. By doing so, it is taking the best information available to provide even more information. 

Xcellent Life also goes beyond the healthcare facility’s doors. With its app, it can continue to interact with patients and collect data from them while they are at home. This allows it to go even further than many other predictive analytics programs can. 

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How Will You Use Predictive Analytics?

Predictive analytics in healthcare has already shown a great degree of progress. Its ability to help with the decision-making process, improve patient outcomes, and assist healthcare workers is already clear. However, the technology is still relatively new and will likely be able to provide even more in the future.  

This means there has never been a better time to get into predictive analytics. Doing so will provide a number of immediate benefits. Plus, it ensures you are ready for the future of what predictive analytics will have to offer.

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