CareSpace
Intelligent Healthcare Platform Built to Deliver Outcomes Across the Care Continuum
Company profile
Company profile
Persivia is a healthcare technology company that provides CareSpace, a digital health operating platform designed to transform fragmented healthcare data into coordinated, real-time action at every critical moment in the care continuum. The company was founded on the conviction that healthcare organizations don't need more data—they need the intelligence, tools, and workflows to act on it when outcomes and costs are determined. CareSpace unifies data from EHRs, claims, labs, social determinants of health (SDOH) sources, remote monitoring devices, and more into a continuously updated longitudinal patient record. Built on top of this foundation is Persivia's AI engine, care management workflows, and quality reporting tools that give every team—from the C-suite to care managers—the intelligence they need to act with confidence. The platform serves health systems, Accountable Care Organizations, payers, and risk-bearing provider groups, helping them close care gaps at scale, succeed in value-based contracts, and improve cost and quality across the full continuum of care. Persivia clients often replace five to six disconnected point solutions with the unified CareSpace platform. The company emphasizes direct access to leadership, rapid implementation (typically 9 weeks to go-live), and outcome-aligned partnerships. Leading healthcare organizations including McLaren Health Care, HCA Florida Oak Hill Hospital, Prime Healthcare, and Harmony Cares use Persivia to drive measurable improvements in cost, quality, and operational performance.
Company description Persivia official website
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Cloud Saas deployment with recorded integration context.
Recorded integration context: Claims data, EHR systems (multi-EHR support), Labs, Remote monitoring devices, SDOH sources.
Company milestones
9 weeks average time-to-value from contract to go-live. Supports 3,000+ data sources. Replaces up to 6 point solutions at client organizations. 10+ year strategic partnership with Prime Healthcare.
Partnerships
02 · Flagship portfolio
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Intelligent Healthcare Platform Built to Deliver Outcomes Across the Care Continuum
03 · Research intelligence
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Research
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Clinical validation
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Regulatory
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04 · Company-reported outcomes
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Single client in year one
HCA Florida Oak Hill Hospital
Prime Healthcare
Automated risk stratification
HCA Florida Oak Hill Hospital
HCA Florida Oak Hill Hospital
Prime Healthcare
Harmony Cares
Harmony Cares
Advancing in-home care with AI-enabled workflows - enabled risk adjustment, care management, and telehealth on a single platform across 200+ groups
85-100% HCC pass rates, 50% reduction in time for virtual HRA, 4 solutions unified, 11 states operational scale
Reducing readmissions through coordinated care by connecting care teams with real-time insights to improve post-discharge outcomes
$19M readmission cost avoided, 65% reduction in readmissions, 1,282 readmissions avoided
Unified data across 30+ sources, eliminated redundant point solutions, and operationalized care management at scale across multi-site health system with 4,400+ providers
$34M in demonstrated savings achieved, 85% operational efficiency improvement, 9 weeks time-to-value from go-live, 5 point solutions replaced
Value-based care transformation - unified data across 51 hospitals and 360 outpatient sites to power ACO, Medicare Advantage, and bundled payment performance
$17M in incentive payments, 4.6% reduction in readmissions, ~200 episodic groups managed, 10+ year strategic partnership
05 · Leadership
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06 · Company updates
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07 · HAIC coverage
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08 · Official presence
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09 · Market pathway
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Market context
Companies providing AI-powered analytics for population health management, healthcare data integration and analysis, risk stratification, care gap identification, or value-based care analytics. Focuses on analyzing data across patient populations to improve outcomes at scale and enable data-driven decision-making across health systems.
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