What is Predictive Analytics:

 

Predictive analytics is the branch of Advanced Analytics that is concerning creating predictions for the longer term based on the historical information. These predictions are created by analyzing and deciphering the historical information using the advanced predictive modeling techniques on the historical, customer and environmental information collected from completely different sources. Predictive Analysis uses techniques from statistics, modeling, machine learning, and data processing that analyze current and historical facts to create predictions concerning future, or unknown events. Predictive analysis is employed in reckoner science, marketing, money services, insurance, telecommunications, retail, travel, health care and prescribed drugs. Usually the predictive analysis term mean predictive modeling, that is that the "scoring" of knowledge with the predictive models and prediction. Currently individuals are more and more using the term for analytical disciplines.

 

Patient Pain Predictive Modeling:

Predictive Analytics for Healthcare helps the healthcare organizations to transform the information into insight to future actions for business improvement. This is done by integrating structured and unstructured data, applying predictive root cause analysis, natural language processing to identify trends, patterns and deviations on clinical and operational insights.

Metro Spinal Clinic, is a leading spinal pain interventional management facility in Australia. Metro Spinal Clinic is using an advanced data analytics system known as Clinical Intelligence. This solution is built on IBM predictive analytics technology which allows clinicians to more accurately track and manage patients' pain.

Patient data gained from using IBM SPSS Data Collection Web Interviews software, which assists patients in identifying where and how intensely they feel pain, has the potential to fuel front line research to better understand common musculoskeletal disorders, including neck and lower back pain.

Struggling with the accuracy of paper based questionnaires, and to increase rates of patient compliance, physicians and researchers from the Metro Spinal Clinic along with IT professionals developed Clinical Intelligence, an intuitive data collection system built on IBM predictive analytics software which could be easily used for current and future research. As part of the new system, patients tap on a simple graphical interface of a human body to show where they feel pain, and assign each point with a number to denote severity. The data collection system then forwards this information on to the IBM SPSS Statistics software, which stores all the data in a consolidated database for easy access and analysis.

The new system has led to significant improvements in the quality and amount of data being collected, which could greatly assist both Metro Spinal Clinic and other research bodies in developing better evidence-based treatments for common musculoskeletal ailments.