According to CMS, 7 out of 10 hospitals participating in the Hospital Readmission Reduction Program (HRRP) will face penalties in 2024. Around 70% of hospitals will incur penalties of less than 1% for their readmissions, while 7% will face penalties of 1% or more. This poses a significant challenge to the healthcare industry's pursuit of value since readmissions are one of the biggest costs hospitals must bear.

Indiana-based multi-specialty physician network is using the Innovaccer platform to reduce readmissions, automate ED transition workflows, and improve the patient experience to provide convenient and comprehensive care

The long journey toward healthcare data interoperability is occasionally punctuated by a new CMS regulation that catches everyone’s attention and triggers some degree of urgency or course correction. Most recently, that “shot across the bow” has come in the form of CMS’s new eCQM (electronic clinical quality measures) requirements. The proposed regulations will require ACOs to aggregate and electronically report clinical quality data—a prospect that has created consternation in the ACO community. 

Risk adjustment programs play a fundamental role in correctly assessing and documenting a patient's health. These programs predict service needs and craft effective care models, which result in the cost-effective improvement of health outcomes.

Past innovations in IT might pale in comparison to the global impact of AI—but only if vertical industries—like healthcare—define and deliver on the jobs to be done

Customer relationship management (CRM) plays a vital role in businesses across many industries and is constantly evolving to let users better it with their business goals. Artificial intelligence (AI) has emerged as a game changer that can revolutionize CRM strategies and help marketers, health experts, and care managers more effectively engage patients.

Succeeding in value-based care (VBC) requires more than just signing contracts. It requires a comprehensive approach that includes network optimization to help healthcare organizations provide efficient care, improve the patient experience, and ensure cost effectiveness.

Discover essential strategies to implement and enhance value-based care, from data-driven decision-making to payment reform. Improve patient outcomes and control costs in healthcare.

Imagine a world where 100,000 lives are saved annually by simply adhering to clinical preventive care guidelines. This isn't a futuristic ideal; it's a possibility articulated by the Centers for Disease Control (CDC). Yet, our healthcare reality is riddled with gaps: patients without timely treatment, missed diagnoses during critical early stages, and clinical guidelines that often remain unheeded. When cancer treatment is delayed even by a month, the risk of mortality can rise between 6 to 13%, a peril that escalates with each ticking second, as per research published by the British Medical Journal.

The advancements and research in big data and AI have led healthcare to increasingly adopt machine learning and predictive algorithms in their workflows. This field offers numerous opportunities for data scientists to explore ideas, conduct experiments, and develop new knowledge and models.