Most health organizations currently use descriptive analytics to document and report on what happens in the past. While descriptive analytics are useful, predictive analytics take the interpretation of historical data one step further. Predictive analytics involve studying patterns and trends in historical health data to make predictions about the future. For example, let’s say you have diabetes. Your healthcare provider can determine how at-risk you are for thyroid disorders commonly associated with diabetes by studying how patients similar to you have progressed in the past. This information will then allow them to develop a preventative treatment plan specifically for you and your health.
As value-based care models grow in popularity, predictive analytics become more important to health management. In order to provide quality care focusing on long-term health instead of quantity of visits, organizations need the right technology to provide accurate data. Incorporating predictive analytics tools into a population health management plan is an easy way to implement effective health care methods focused on preventative treatments. Here are a few additional benefits to having predictive analytics:
Being able to predict when patients will need what type of care will save health care organizations money. Instead of wasting valuable resources trying to diagnose and treat an illness when a patient begins to notice symptoms, providers can use predictive analytics to narrow the possibilities and make more accurate diagnoses.
Improved long-term health
Predicting future health problems will also help providers create wellness plans tailored to meet the needs of each patient. These customized wellness plans, like our personal health management plans, will focus on the long-term health and preventative treatments to improve the well-being and health of each patient.
Instead of using the traditional fee-for-service payment methods, organizations can adopt value-based care models where providers are rewarded for having patients with fewer visits and improved health. Not only will fewer resources go to waste, but providers will also have financial incentives to encourage them to provide quality care for their patients.