Business IntelligencePredictive Analytics

Getting a handle on healthcare’s future through predictive analytics

By March 8, 2017 No Comments

Predictive analytics mean a lot of good news for patients when healthcare facilities implement and successfully use solutions involving these forecasting and modeling techniques.[This is structured weird. Maybe it would make more sense to say "With predictive analytics, so and so happens for patients."] With the right strategy in place, healthcare providers can gain deeper, more meaningful insight into the risk factors present in their patients. Drawing on data that's already stored digitally, business intelligence software like the IBM Cognos suite of applications can perform the type of deep data analysis that's cumbersome, difficult, error-prone and time-intensive when done manually. Doctors, nurses and other medical staff can then draw on this information to provide a higher level of care.

"Medical staff can draw on predictive analytics to provide a higher level of care."

Getting the most out of patient data
With so much information about patients now digitally stored, there are plenty of opportunities for predictive analytics to advance medical performance and supplement the knowledge and experience of staff. Hospitals & Health Networks highlighted the presence of this mostly unutilized store of data and discussed efforts to unlock its value and create better outcomes for patients.

Two major issues that may interfere with the successful implementation of predictive analytics in healthcare are traditions and heavy regulation of medicine as a business. Both of these elements provide ammunition for those who are against making major changes. They can also help create doubt in the minds of people genuinely unsure about the best course of action in terms of adopting new technology and trying something significantly different than what's come before.

However, neither of those concerns address the many positives that come along with predictive analytics. Additionally, they aren't tied to any drawbacks or negative consequences. Healthcare providers that effectively utilize predictive analytics can find more connections between patients and risk factors, gain assistance in troublesome diagnoses and much more without any drastic changes to the way they do their jobs.

Aviana is ready to help healthcare facilities take the next step forward and incorporate predictive analytics into their strategies for patient care on the micro and macro levels. With plenty of past implementations under our belts and experience working in the healthcare field, we're ready to help you and your patients provide the highest level of care possible. Visit our dedicated industry page to learn more

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