We eliminate data silos and harness secure, healthcare-grade AI to democratize data insights for better outcomes, experiences, efficiencies and innovation.
Healthcare organizations have no shortage of data. But when data is fragmented across systems, unused, or inconsistent, its true value remains unrealized.
Healthcare organizations have no shortage of data. But when data is fragmented across systems, unused, or inconsistent, its true value remains unrealized.
- Data engineering and governance unify and govern multi-modal data to democratize solutions and boost operational efficiency by up to 50%; HIPAA/HITRUST-compliant pipelines deliver reliable, trusted data.
Visualization and experiences enable self-service analytics, cutting report turnaround times by ~50%; Role-based dashboards available in days, not months.
Advanced analytics and data science deliver predictive and prescriptive insights, driving ~20% better outcomes and ~15% efficiency gains.
Applied AI (ML, LLM, GenAI) delivers ~45% reduction in caregiver and administrative burden, -86% fewer errors, and significantly faster decision cycles.
Platform Support (DataOps/MLOps) ensures 24×7 secure operations with 99.95% uptime, safeguarding critical care continuity.
Explore how Providence delivers care innovation through its AI-powered solutions to real healthcare challenges.
Providence built an AI-driven infection risk prediction model using data from 83,000 patients across 56 facilities and 1.3M records, delivering real-time risk detection, easing the way for infection preventionists to deliver proactive and life-saving care for high-risk patients.
The model has achieved an AUC of 0.93 & 85% balanced accuracy, outperforming legacy models, providing real-time predictions within the highest risk window of 24-72 hours.
Our AI-powered protocol search tool transforms unstructured clinical protocols into structured, searchable datasets using LLM – driven extraction, hybrid search, and an AI-assistant-tant style interface, eliminating manual PDF review and accelerating research workflows.
The tool speeds up retrieval of critical protocol information by 25%, and provides faster access to deeper insights, improving trial matching and researcher productivity while promoting better collaboration by facilitating easier cross-study exploration.
Our Data & AI capability is built for real-world healthcare environments. That means everything created through it, whether a predictive model, a registry management solution, or a patient-facing tool is designed to work seamlessly within the systems already in use in hospitals.
HL7, FHIR, DICOM for seamless interoperability across 50+ EMRs.
Academic and tech collaborations keep solutions validated and future ready.
Multi-cloud readiness, proven at enterprise scale.
HL7, FHIR, DICOM for seamless interoperability across 50+ EMRs.
Academic and tech collaborations keep solutions validated and future ready.
Multi-cloud readiness, proven at enterprise scale.
Our healthcare-native generative AI evidence-based care platform works within an existing IT tech stack and improves consistency of clinical data across the care continuum. Its low-code, no-code, highly configurable architecture enables rapid implementation and adoption.
With features that combine registry abstraction, predictive insights, and platform flexibility, it eliminates business data silos, lowers costs and administrative burden, and surfaces actionable insights to improve care outcomes.
Includes Clinical Abstraction Services (CAS) which use native GenAI components, small language models and medically aware knowledge graphs for clinical data abstraction and summarization through automated core workflows across case finding, abstraction, reporting/submission, and insights generation.
