Chunqing Zhu's Colleagues at HBI Solutions, Inc.
Chunqing Zhu's Contact Details
650-285-2404
HBI Solutions, Inc.
Chunqing Zhu's Company Details
HBI Solutions Inc. offers a proven suite of predictive analytics and performance analysis solutions to healthcare organizations worldwide. HBI's Spotlight Data Solution, applications and risk models use real-time clinical, billing, and claims data to provide healthcare organizations with actionable information to improve patient care at a lower cost. Flexible and easy to install, it can fit into any business intelligence, data warehouse, EHR, or interoperability system. HBI's customers include health systems, physician practices, federally qualified health centers, accountable care organizations, payers, health information exchanges, and technology vendors. With HBI, clinicians improve patient outcomes and experience through early identification of patients at risk for serious health conditions and unnecessary medical visits, tests, and procedures. Performance improvement staff monitor key quality indicators like 30-day readmissions, and identify variations in quality, cost, and utilization across services lines. Operations and financial managers assess and track performance measures and volume targets across the organization, and forecast cost and utilization when entering into risk based contracts. HBI's predictive analytics solutions have been published in peer reviewed research journals and validated through years of use and feedback from clinicians who've seen improvements in patient outcomes.HBI's predictive models are the most comprehensive on the market. They include both population and admission event based predictions powered by real-time clinical, billing, and claims information. The accuracy of the models continuously improve as the software learns and adapts to every new piece of information added. HBI's expert staff include researchers, physicians, data scientists, software engineers, and healthcare IT executives providing a unique blend of experience spanning patient care, academic research, machine learning, and operations management.