One Integrated Intelligence Platform. For All of Healthcare.
Human-AI Synergy for Healthcare Transformation
Caregence brings Agentic AI to the frontline of care – automating referrals, matching caregivers, streamlining documentation, and supporting recovery beyond the bedside. This platform is purpose-built to tackle the complexity of healthcare and the entire continuum that follows.
An AI Platform That Thinks and Acts Like You Do
Caregence blends predictive analytics, ambient intelligence, and automated decision systems into a single extensible platform. This platform helps healthcare organizations do more, without increasing headcount or complexity.
Semantic
Layer
Unifies data from multiple sources, enabling insights via natural language queries, integrated reporting, and benchmarking.
Customizable
Agents
Automates referrals, intake, caregiver matching, and documentation, providing real-time assistance to caregivers, care coordinators, and patients.
Agentic AI
Workflow Layer
Designs and automates workflows from intake to post-care, reducing manual effort with low-code/no-code flexibility.
Predictive
Analytics
Uses AI to forecast risks, predict outcomes, and enable proactive patient interventions, including resource optimization for staff allocation and visit scheduling.
MCP
Server
Integrates healthcare systems—including EHRs, EMRs, and CRMs—for seamless data flow, real-time decisions, and audit-ready compliance.
Responsible AI
Ensures data security, patient privacy, and regulatory compliance with built-in governance and ethical guardrails, enabling safe, trustworthy, and audit-ready AI adoption.
The Impact of AI
Across the
Spectrum of Care
Care Reimagined, End to End
Caregence powers the entire continuum – from first contact to full recovery. Built for the pace and complexity of modern home healthcare, Caregence brings intelligent automation and clinical precision across every phase of care.
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Referral & Intake Automation
Automatically pulls, cleans, and routes referral data to kickstart care faster.
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Triage Prioritization
Sorts incoming patients by urgency to assign resources where they matter most.
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Eligibility Checks & Prior Authorization
Verifies coverage and initiates approvals without manual follow-up.
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Patient Outreach
Sends timely reminders, education, and consent requests through preferred channels.
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Patient/Caregiver Matching
Intelligently pairs patients with caregivers based on skills, proximity, and preferences.
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Digital Front Door
Enables patients to book, reschedule, and confirm visits without a single phone call.
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No-Show & Fall Risk Prediction
Flags high-risk patients before the visit so you can intervene early.
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SDOH Analytics
Surfaces hidden social barriers that affect care access and readiness.
- Active Monitoring
Captures vital changes and symptom patterns during visits in real time.
- Alert Prioritization
Reduces noise by surfacing only the most actionable risks per patient.
- Dynamic Care Plan Personalization
Updates care plans mid-cycle based on evolving needs and feedback.
- Clinical Risk Modelling
Predicts potential deterioration before it becomes a crisis.
- AI Documentation (Visit Notes & Care Plan)
Auto-generates compliant, structured documentation from spoken or typed inputs.
- Copilots for Clinicians
Supports clinicians with real-time prompts and summaries as they engage with patients.
- Automated Discharge & Transition Summaries
Compiles and shares concise handoff notes instantly after final visits.
- Feedback Mining & Sentiment Analysis
Monitors post-care conversations and surveys to detect dissatisfaction or risk.
- Automated Follow-Up
Triggers reminders, check-ins, and instructions based on visit data and recovery milestones.
- Remote Monitoring
Tracks recovery signals from wearable devices or self reported inputs.
- Longitudinal Recovery Prediction
Forecasts how well a patient is recovering over time compared to expected benchmarks.
- Retention Analytics
Identifies patients likely to disengage and recommends re-engagement steps.
- Billing/Compliance Automation
Captures and codes post-visit notes for faster, cleaner claims.
- Copilots for Patients
Helps staff summarize calls, tag follow-up needs, and close loops efficiently.
Salient Features of the Platform
Agentic
Architecture
MCP Server acts as an orchestrator, connecting sources (EHRs, knowledge graphs), automation skills, and analytics into a single agentic workflow ecosystem.
Data Ingestion &
Orchestration
Ingests data from major healthcare applications and feeds a tiered data platform (Bronze, Silver, Gold), supporting advanced analytics and model training.
Unified Semantic
Layer
All data, tasks, and events pass through a standard semantic layer, ensuring consistency, interoperability, and explainability.
AIML Model
Training & Deployment
Embedded model registry and workflow builder allow the creation, management, and secure deployment of predictive models for real-time decision making.
Modular APIs &
Open Integration
API Gateway and Lakehouse MCP Server expose secure, scalable endpoints for external applications and agents
Built for Healthcare Excellence
- Autonomous AI agents for specialized healthcare tasks
- Seamless integration with existing healthcare infrastructure
- Enterprise-grade security and compliance standards
- Explainable AI with full audit capabilities
- Real-time predictive analytics and risk modeling
- Scalable architecture for healthcare organizations of any size
Ready to connect
the dots?
From care coordination to revenue cycle management, Caregence solves operational healthcare issues that cost time, money, and people.