Studies say Predictive Analytics when combined with the available EHR data can find readmission risk for pediatric patients before their discharge. This can efficiently help in reducing hospital readmissions.

What is Predictive Analytics in Healthcare?

Predictive analytics is a discipline in the data Analytics world that relies heavily on techniques such as modeling, data mining, AI, and machine learning. It is used to evaluate historical and real-time data to make predictions.  

Predictive analytics in healthcare refers to the analysis of current and historical healthcare data that allows healthcare professionals to find opportunities to make more effective and more efficient operational and clinical decisions, predict trends, and even manage the spread of diseases.  

RELATED: Improvising EHR Through Big Data Analytics: A Comprehensive Guide

The Role of Predictive Analytics in Reducing Hospital Readmissions

The well-being of patients is at frequent threat even while they are admitted to hospitals. These threats include problems like difficult-to-treat infections, sudden decline due to existing conditions, etc. This is where predictive analytics can save both physicians and patients.

Predictive modeling in healthcare can help providers take action immediately in emergencies. They can react quickly if there is any change in patients’ vitals, identify the problem, and predict the upcoming series of symptoms.

Under Medicare’s Hospital Readmissions Reduction Program (HRRP) health systems can be imposed penalties and build on financial motivation to prevent recurrent returns to the inpatient ecosystem. Along with enhancing care transitions, predictive analytics can alert providers when a patient attains a high probability of readmission within 30 days.

Predictive health analytics tools help providers to find those patients who have a high likelihood of readmission characteristics, when to schedule them for follow-ups, and how to frame personalized healthcare protocols to prevent recurrent returns to the hospital.

RELATED: The Best EHR with an Integrated Billing for Mental Health Professionals

The Role of Predictive Analytics in Reducing Pediatric Hospital Readmissions

Present day, there are not many studies on the or no such tools to predict the risks of pediatric hospital readmissions. To fill this gap, researchers started to develop and authenticate a tool that identifies pediatric patients who are at risk of frequent readmissions before discharge.

They used EHR data from admissions at Ann & Robert H. Lurie Children’s Hospital of Chicago (LCH) from January 1, 2016, to December 31, 2019. The findings indicated that such risk prediction models may upgrade discharge awareness and stop high-risk admissions in the future. But more research is required. That research was part of an ongoing interest in applying risk stratification and predictive analytics to pediatrics.

Benefits of Predictive Analytics in Healthcare

• Reduces readmissions to hospitals
• Saves beds for patients who need immediate care
• Reduces costs on appointments and no-shows
• Prevents cybersecurity threats by analyzing & assigning risk scores
• Helps to speed up admin tasks like discharge procedures
• Speeds up insurance claims submission
• Helps to attract new patients through personalized campaigns
• Helps to predict and be ready for upcoming changes in health trends
• Prepares healthcare organizations to be alert if any pandemic or epidemic break occurs
• Helps to analyze and manage population health

• Predictive analytics opens up doors for early interventions and chronic disease prevention for healthcare professionals
• It simply and effectively improves patients’ health outcomes.

Cloud-based EHR Software from Vozo

Healthcare providers still face information fatigue when it comes to dealing with expanding electronic data. This is happening even though big data analytics has paved the way for patient care and efficiency. According to studies, physicians still spend 63% of their time per patient evaluating Electronic Health Records (EHRs). The clinical data review takes most of the time.

Vozo cloud-based EHR software provides a sophisticated, customizable, and integrated EHR. It saves physicians and practices from documentation burdens. Our customizable templates let physicians view patient records & create case notes, and more from a single screen. Vozo RCM integrated with EHR & PM software offers greater efficiency and cost savings across the board. Our specialty-specific tools improve workflow, billing, scheduling, and documentation. 

Our features – e-prescribing, security, patient portals, lab integration, cloud hosting, and more. We offer – the best means of ICD-10 standards. Easily identify healthcare gaps based on patient visits, diagnosis, and test results. Customize fields on Vozo EHR as you wish for detailed practice-wide financial analytics.

“Let’s join hands to significantly reduce hospital readmissions with the most efficient EHR software”

The post How Predictive Analytics reduces Hospital Readmissions by Half first appeared on Vozo Blog.