Advanced Analytics and AI
Discover the potential of combining intelligent automation and your data
Using data mining, machine learning, and pattern recognition, we can parse through any data—in any location and in any format—to employ predictive analytics, unlock opportunities, and make strategic recommendations to lower medical expenses and improve health outcomes.
The power of predictive analytics
Predictive analytics uses past data to predict future outcomes to identify patients at risk of developing certain diseases or who are more susceptible to hospital readmissions. It can also help allocate resources strategically and efficiently for staffing and scheduling.
- Reimbursement Analytics
Forecast future reimbursement trends and challenges, including the impact of regulatory changes, payer mix shifts, and revenue cycle management. - Patient Care
Patient data and machine learning models predict health outcomes, such as the risk of developing specific conditions like diabetes or heart disease, based on lifestyle factors, genetics, and medical history. - Hospital Readmission Reduction
Use data from previous admissions, patient demographics, clinical data, and social determinants to proactively identify patients at risk of hospital readmission. - Emergency Department Utilization Prediction
Understanding when Emergency Departments have high and low volumes of patients allows hospitals to handle resources in a smarter, strategic way—staffing the right number of nurses and doctors, reducing wait times, and providing better patient outcomes and experiences. - Surgical Scheduling
Forecast the length of surgeries and recovery times to allow more efficient scheduling of surgical procedures and resource allocation. - Fraud Detection and Prevention
Protect your finances, the integrity of your organization, and ensure compliance by analyzing billing patterns and claims data to identify unusual patterns that may indicate fraud or abuse.
Discuss the potential of predictive analytics with our team. Get in touch.
