Imagine a patient’s treatment plan aligning with their lifestyle with portable, wearable devices to gather data and accommodate unique mobility challenges with flexible patient visits or testing. 

How about providing a patient experience that effectively treats chronic disease but can also proactively treat early signs of symptoms or even patients AT RISK of developing a chronic disease?

Paging, predictive analytics

Why is this a game-changer for healthcare? 

It is well known that healthcare predictive analytics is a game-changer because it allows the creation of predictive models using historical data and machine learning. 

These models can predict future health events with the purpose of reducing readmission rates and improving patient engagement. So it’s just like forecasting, right? Well, there’s more to it. 

Predictive analytics is more than just forecasting because it provides clinicians with actionable insights they can use to make better and often personalized clinical decisions. 

Using data in this way can also manage population health and tailor treatment plans for chronic diseases. Predictive analytics is unquestionably key to how healthcare organizations are run. 

It is all about using big data to make more informed, faster decisions that would enhance patient outcomes and reduce healthcare charges. 

By partnering with Salesforce and the Simplus Business Transformation Services team, healthcare organizations can leverage big data to make more informed, faster decisions to enhance patient outcomes and reduce healthcare charges. 

Here’s how: 

 

Improved patient outcomes 

Early diagnosis, prevention, and personalized treatment plans

 

By analyzing patterns and disease risk factors, healthcare providers can pinpoint early signs of symptoms and launch interventions that prevent the disease from progressing. The result is better and more hopeful patient outcomes, especially for chronic disease patients. 

While patients may share conditions, each responds to treatment differently. Salesforce Einstein’s advanced analytics capabilities can interpret patient data and identify at-risk patients for early detection. Then, with Einstein Discovery, providers can build custom predictive solutions that improve patient outcomes and bolster operational efficiency. 

 

Operational efficiency

Resource allocation and reduced readmissions

 

Leveraging predictive analytics provides two big advantages: Resource Allocation and Reduced Patient Readmissions. 

Predictive analytics can forecast patient admissions, helping hospitals manage resources more effectively. This ensures that staffing, bed availability, and medical supplies are optimized, reducing wait times and improving patient care.

Studies show that the average hospital readmission rate in the US hovers between 11.2 percent and as high as 22.3 percent. With over half (61 percent) of patients observing that the post-discharge process has room for improvement, pairing predictive analytics with a holistic approach to patient care ensures providers have access to a patient’s history to target interventions to prevent readmissions, improve patient care, and reduce costs.​ 

 

Cost reduction

Fraud detection

 

One of the best defenses against fraud is transparency. The Simplus Business Transformation Services Team can implement a customized Salesforce system with predictive models that detect unusual billing patterns and claims. This is effective in identifying and preventing fraudulent activities and setting healthcare providers on a course to protect patients and increase cost savings. 

 

Enhanced patient engagement

Personalized communication and proactive health management

 

Our BTS Team carries expertise to help organizations optimize their Salesforce CRM system—integrations like MuleSoft, which enhances data connectivity across different systems. With MuleSoft, organizations can leverage predictive analytics more effectively and gain comprehensive data-driven insights from various data sources to improve the patient experience. 

This means personalizing patient communication by determining the ideal times and methods to communicate with patients and improving their adherence to treatment plans. 

By integrating these advanced analytics tools and platforms, Salesforce is making predictive analytics more accessible and impactful for healthcare companies, ultimately driving better patient care and operational performance.

Predictive analytics can revolutionize healthcare by transforming patient data to enhance outcomes. Analyzing vast amounts of data from electronic health records, wearable devices, and other sources can identify patterns and risk factors that may not be immediately apparent. 

As healthcare continues to move toward value-based care, predictive analytics allows providers to anticipate health issues before they become critical, enabling early intervention and more personalized treatment plans. Forecasting trends and patient needs also aids in optimizing resource allocation, reducing hospital readmissions, and improving patient management. 

With Simplus and Salesforce, healthcare organizations can implement a scalable, efficient system that integrates predictive analytics to foster a more proactive, efficient, and patient-centered approach to care.