Value-based care is not only about treating the patient in a controlled environment, such as the hospital setting, but also helping them stay healthy through ongoing care plans that include monitoring compliance and early detection of recurrence to initiate intervention protocols to reduce negative outcomes. Readmission rates provide a good indicator as to whether these value-based care programs are working. As such, hospital readmission rates were formally included in reimbursement decisions for the Centers for Medicare and Medicaid Services (CMS) as part of the Patient Protection and Affordable Care Act (ACA) of 2010, which penalizes health systems with higher than expected readmission rates through the Hospital Readmission Reduction Program.  Understanding the impact of potentially avoidable readmissions needs careful consideration with risk-adjustment tools and techniques that can be converted into enhanced care coordination to support both patient and hospital staff.

DATA DRIVEN HEALTHCARE REDUCES READMISSION RATES

The good news is that today’s analytics techniques can help providers minimize their readmission rates and length of stay (LOS). This advancement allows healthcare providers to better record, track and analyze patient data to make real-time predictions about patient risk factors and determine which patient is likely to encounter post-discharge difficulties.  In addition, the use of data analytics will help hospitals identify common factors driving the length of stay to continually improve their clinical protocols and achieve better outcomes.

Predictive analytics models are used to categorize at-risk patients for poor outcomes, such as those most likely to be readmitted to medical facilities. It helps hospitals avert complications and ensure the healthcare providers get the most precise data estimates in real-time to minimize complications in high-risk patients.

HARNESS PATIENT DATA ALONG EPISODE OF CARE FOR AGILE DECISION MAKING

IntelliPatient combines clinical, claims, care management, and socio-demographic data into a single view to offer insight into healthcare quality, cost, and outcomes. It helps healthcare provider to track diseases and help care team to determine what treatments are most effective. IntelliPatient brings together advanced analytics and care management capabilities to maximize the value of patient information acquired from care providers.

Our focus on technology innovation and collaboration with the world’s leading technology companies helps us stay ahead of the curve. With extensive capabilities in healthcare technology, world-class service quality and a global resource base, Scalable Health understands industry specific challenges. Our value lies in our ability to link the best technology solution to complex business challenges in the most cost-effective and innovative way.

Read our white paper which discusses the effectiveness of adoption and use of real-time analytics in reducing readmissions and how it is now a strategic imperative.

REDUCE READMISSION RATES WITH PREDICTIVE ANALYTICS

DATA DRIVEN HEALTHCARE REDUCES READMISSION RATES