When a patient is discharged from the hospital after surgery, post-acute care can have a significant impact on their recovery time and risk of readmission. Profility uses IBM® Cloud™ technologies to run sophisticated algorithms that predict which post-acute care facilities are likely to provide the best outcomes for patients at the lowest costs for payers and providers. Head over to IBM.com to read the full case study and learn more about how Profility is helping improve decision making and outcomes in healthcare thanks to its advanced predictive analytics platform.

Predictive analytics and the use of data for informed decision making top the opportunities in 2017 identified by some of the leading supply chain provider organizations in North America. The results are based on a survey conducted by Global Healthcare Exchange, LLC (GHX) with its Best 50 provider organizations on priorities and outcomes for the healthcare supply chain in 2017. The survey also revealed that top performing supply chain organizations will look to improve price accuracy between supplier and provider partners as well as standardize business processes and data across the organization. The following areas were identified as among the top healthcare supply chain initiatives planned for 2017: Standardization: for physician preference items (PPI) and across all clinical areas; reduction ...