
United States
Developer of a cloud-based health management platform integrating wearable and patient monitoring data for improved health analysis and empowerment.
- Revenue
- $5.7M
- Customers
- 28
- Year founded
- 2005
- Funding
- $21M
- Team size
- 7
- Growth
- 41.03%
As of May 2026, there are 27 SaaS companies in Population Health Management Software. They have combined revenues of $1.2B and employ 4.1K people. They have raised $1.2B and serve 28 customers combined.
Population Health Management (PHM) Software is designed to improve the health outcomes of individuals within a specific population by leveraging data analytics and care coordination. These solutions aggregate data from various sources, including electronic health records, claims information, and self-reported patient data, allowing healthcare organizations to understand health trends and assess risks within their patient populations. The primary use cases of PHM software include identifying gaps in care, managing chronic diseases, and promoting preventive health strategies. Typical features of this software include patient stratification, care plan management, analytics and reporting tools, and the facilitation of communication among care teams. Common users of PHM software range from healthcare providers and administrators to public health organizations, focusing on delivering patient-centered care across diverse populations.
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Showing 10 of 2 companies ranked by annual revenue.

United States
Developer of a cloud-based health management platform integrating wearable and patient monitoring data for improved health analysis and empowerment.

Washington, District of Columbia, United States
Developer of healthcare technology designed to measure SDOH (Social Determinants of Health) in patients. The company's platform a secure, cloud-based platform that manages data fusion, analytics and visualizations of community and individual SDOH risk, allowing organizations to prioritize and match targeted social interventions to the specific needs of socially and clinically complex patients.
- Must provide data aggregation capabilities from various healthcare sources - Must enable care coordination and communication among healthcare teams - Must include analytics tools for assessing population health trends - Must support patient engagement and self-management features - Not just focused on individual patient care; must address broader population health management strategies
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