Market Research Report
U.S. Population Health Management Market Size, Share & Trends Analysis Report By Product (Software, Services), By End Use (Providers, Payers, Employer Groups), And Segment Forecasts, 2019 - 2026
|Published by||Grand View Research, Inc.||Product code||731191|
|Published||Content info||80 Pages
Delivery time: 2-3 business days
|U.S. Population Health Management Market Size, Share & Trends Analysis Report By Product (Software, Services), By End Use (Providers, Payers, Employer Groups), And Segment Forecasts, 2019 - 2026|
|Published: April 17, 2019||Content info: 80 Pages||
The U.S. population health management market size is expected to reach USD 50.3 billion in 2026 registering a CAGR of 20.1%, according to a new report by Grand View Research, Inc. Increasing healthcare expenditure and rising need for value-based healthcare delivery and effective disease management across different care settings are the primary growth stimulants for the market.
PHM (population health management) basically stratifies population groups at risk, identifies high-cost diseases and conditions, and enlists members required to participate in disease management programs. Moreover, payers have started collaborating with healthcare providers through PHM integration with an unprecedented approach for cost containment and value delivery.
Significant portion of healthcare costs is incurred by the loss of productivity due to poor resource management in U.S. Hence, employers have initiated incorporation of PHM in employee benefits package to help them understand their healthcare needs. Growing demand for healthcare IT services and solutions that encourage healthcare delivery reliant on value, resulting in a transition from Fee-For-Service (FFS) to a Value-Based Payment (VBP) model will drive the market further.
PHM model has helped various healthcare stakeholders including hospitals to measure patient data accurately and efficiently, especially when a large volume of data is generated by monitoring devices. For instance, Children's Hospital of Philadelphia (CHOP) is developing a platform for stream computing, which enables clinicians with better decision support by applying real-time predictive models to vital signs.