The data explosion in healthcare calls for data analytics that can make sense out of this data. What we are looking for currently is not analytics that can tell us about the data at a later time but, something that can help us make informed decisions in real-time. How does HIX work towards helping induce personalized care?
For successful health insurance exchange, you need to decode the data with utmost care, and bring to table quality insights. There is a need for good analytical tools that can actually make the data more valuable, and qualify for personalized care, and help improve the patient care at the hospitals and other care centres. D Cube offers healthcare analytics that includes the HIX analytics to build personalized care.
The real question is how to bring value with analytics, and which tools will truly help deliver value? You will need to opt for real-time visualization as well as report reading to understand how your patient reacts to a particular form of care, the symptoms of a particular illness, and the treatment to be received. The idea is to read a sample, and bring to table accurate results and precise cost details based on that.
Here are five ways in which HIX analytics can help bring value to healthcare.
Explore the unconventional data sources
Normally, you tend to look at the traditional data sources for collecting and analysing data such as chart reviews, HEDIS quality measures etc. While, these data sources are important, there are some data sources that don’t fall in the traditional category yet, are very important for understanding the data and revealing the hidden insights. The powerful data that will reveal the exact results is all from unconventional sources such as behaviour and symptom data. It’s time to understand this data, and extract information that can help in real-time decision making. D Cube analytics explores these unravelled data sources to enhance the data potential.
Measure the results
It is important to measure the different algorithms against the expected outcomes in order to figure out if they are ready to meet the financial goals defined by you. This will help you gain insights on individual members who are being targeted, their clinical behaviour and their profiles in detail for better analysis and timely data availability. Based on the data analytics, you can even build your interventions, to reduce the risk factors, and improve decision making.
Visualize the results
You will need flexible business intelligence tools that can help you visualize the results. You should have data for network profiling, the industry benchmark, risk factors for individual algorithms, financial impacts, the realization rates etc. for the industry. The idea is to have enough data that you can visualize, and read into. The reports when visualized give a better idea and the comparison is easier and tactful.
The idea is to invest in good business intelligence tools for effective reporting and quicker decision making while considering risks and other factors. D Cube helps improve the intelligence results by exploring analytics with quality business intelligence tools and techniques.