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How Predictive Analytics Is Helpful In Developing Innovative Healthcare Management Systems

From a long time the medical community is trying to organize their tremendous amount of data and derive useful value from it. Now with Medical Predictive Analysis, there lies an opportunity to revolutionize global healthcare and this industry as a whole.

Table of contents

  1. Introduction
  2. What is Predictive Analysis?
  3. Connection between Healthcare and Predictive Analytics
  4. How can Healthcare Management Systems benefit from Predictive Analytics?
  5. Conclusion

Everyone wants good medical care. And we trust our doctors and medical experts for the same. They are smart, well-trained and as much updated with the latest trends as possible. But here’s the thing. They aren’t perfect. And they cannot memorize all the knowledge required to solve all the types of cases. Although they have access to vast amounts of data, they themselves won’t be able to derive much value out of them. Here lies the potential for predictive analysis and advanced machine learning.

What is predictive analysis?

In layman terms, Predictive Analysis can be understood as the branch of advanced analytics which is used to make predictions about future events based on historical data. Techniques such as data mining, machine learning, artificial intelligence and various concepts of statistics and modeling are performed on the data present so as to predict possible future outcomes based on the historical trends. With faster and cheaper computing, as well as huge amounts of available data, this technique is becoming very popular in various fields such as healthcare, insurance, financial services, retail, marketing, etc.

Connection between Healthcare and Predictive Analytics

Healthcare and Medical industry has vast amounts of data. From research papers and academic teachings to patient data and lab tests, this data opens up a plethora of opportunities for modern computational tools to analyze and derive value from it. Predictive analytics has been around for a while now but it was underutilized due to lack of organized records and online availability of data about patients and various studies.

Now with a more data-oriented approach of the community, this information is easily accessible to everyone.  Predictive analysis allows more diverse and vast datasets to be explored and analyzed so that more relevant and personalized results, as well as predictions, can be obtained. It will enable in better measurement, aggregation, and make sense of newly obtained behavioral, psychological and biometric data.

How can Healthcare management systems benefit from Predictive Analytics?

Healthcare management system or healthcare information management system enables the healthcare providers to collect, store, retrieve, and exchange patient healthcare information efficiently. These management systems are generally provided as Software-as-a-Service (SaaS) solution. Combining predictive analysis with these management systems will bring various new benefits resulting in more efficient and effective systems. Let’s look at some of the advantages of inculcating predictive analytics into healthcare management systems:

  • Early diagnosis of various diseases
    Many diseases and medical conditions can be prevented with early intervention. With predictive analysis, the system will be able to derive trends and algorithms which will enable it to look for possible symptoms which can result in a particular medical condition like cancer, tumours, etc.
  • More efficient individual care
    Predictive analysis will make way for efficient and targeted treatment since the system will have all the medical records of the individual patient. General treatment is not as efficient and safe for each and every patient as in doesn’t take into account the specific requirements and conditions of the individual.
  • Increased accuracy of diagnosis
    The accuracy of the diagnosis is increased with the use of predictive analysis. The primary reason for this is the vast amount of data that is available to the system which reveals patterns which are then used to make predictions. These patterns are the result of various factors including individual patient’s health, statistics involving similar patterns, as well as several other reliable sources like previous health records, academic papers involving similar issues, etc.
  • Hospitals and medical experts will be better prepared
    Predictions resulting from patterns will remove the element of surprise which leaves medical experts and doctors in dilemma. Unable to see forthcoming scenarios, doctors and hospitals are often caught off guard in various specific scenarios which leads to inefficient treatment. With this technology, this element of surprise will be reduced as patterns will be visible beforehand.

The inclusion of predictive analysis in our mainstream healthcare management solutions will propel the healthcare as we know it to newer dimensions and will transform it into a more efficient and effective system as a whole.

At BluEnt, we provide software development service as well as data insights solutions. With over 2 decades of varied experience, we aim to provide the best in class solution which is at par with the latest trends. Get in touch today!

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This post first appeared on Top 5 Cross Platform Mobile App Development Tools In 2017, please read the originial post: here

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How Predictive Analytics Is Helpful In Developing Innovative Healthcare Management Systems


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