Question

Data and analytics are getting better all the time. Healthcare now has enough data and technology that increasingly, it is turning to predictive analytics. Can you see where soon we will have enough information to predict best care and treatment for a specific individual, or determine fairly accurately who is most at risk for readmission, or where is fraud is hiding in billing, anticipated discharge date by patient -- or what else? How can this apply to population health and how to best utilize resources? How long before DNA evidence helps us prevent disease long before it becomes apparent? What else can you see happening?

Answer 1

Predictive analytics (PA) uses technology and statistical methods to search through massive amounts of information, analyzing it to predict outcomes for individual patients. That information can include data from past treatment outcomes as well as the latest medical research published in peer-reviewed  journals and databases.

In medicine, predictions can range from responses to medications to hospital readmission rates. Examples are predicting infections from methods of suturing, deciding the likelihood of disease, helping a physician with a diagnosis, and even predicting future wellness.

Prediction modelling uses techniques such as artificial intelligence to make a prediction profile (algorithm) from past individuals. The model is then "deployed" so that a new person can get a prediction instantly for whatever the need is, whether a bank loan or an accurate diagnosis.

Hospitals will need predictive models to accurately assess  when a patient can safely be released. 1)Predictive analytics increase the accuracy of diagnoses.

2)Predictive analytics will help preventive medicine and public health.

3)Predictive analytics provides physicians with answers they are seeking for individual patients.

4)Predictive analytics can provide employers and hospitals with predictions concerning insurance product costs.

5)Predictive analytics allow researchers to develop prediction models that do not require thousands of cases and that can become more accurate over time.

6)Pharmaceutical companies can use predictive analytics to best meet the needs of the public for medications.

7)Patients have the potential benefit of better outcomes due to predictive analytics.