NightingaleMD
NightingaleMD provides an AI nurse extender called Florence that automates voice-based patient engagement and care coordination for Medicare Advantage programs. Florence handles post-discharge outreach, follow-up booking, and clinical documentation directly within existing EHR workflows, with built-in safety guardrails and human escalation pathways. The platform supports 23 languages and includes interpreter mode for diverse patient populations.
- AI Agents
- Healthcare Technology
- Digital Health
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Care management teams face persistent operational inefficiencies from manual patient outreach, fragmented follow-up coordination, and time-consuming documentation burden. These breakdowns limit throughput for high-value activities like annual wellness visits and hierarchical condition category (HCC) recapture, while avoidable emergency utilization remains elevated due to gaps in proactive patient engagement.
Solution
Florence AI is an autonomous conversational agent that performs empathetic, voice-based patient engagement while operating safely within clinical guardrails. The system carries out complete care workflows—initiating outreach, coordinating follow-up, and producing structured clinical documentation—without requiring staff to change their existing workflows. Florence writes directly to the EHR and integrates with leading platforms such as Epic, athenahealth, eClinicalWorks, Cerner, and NextGen. Built to healthcare-grade standards, Florence is HIPAA compliant, SOC 2 Type II certified, and FHIR R4 compatible, enabling production-ready deployment across health systems and health plans. Outcome metrics demonstrate measurable impact, including a +20% improvement in HCC recapture and reductions in avoidable emergency utilization.
Target Audience
Primary customers are health plans, care management organizations, and health systems seeking to automate patient engagement and clinical documentation workflows while improving quality metrics and risk-adjustment performance.
Features
- Autonomous voice-based patient engagement with empathetic conversational AI and real-time response capabilities
- Clinical guardrails embedded in the agent to ensure safe, compliant decision-making during calls
- Direct EHR write-back and structured clinical documentation generation from patient calls
- Native integrations with Epic, athenahealth, eClinicalWorks, Cerner, NextGen, and other leading EHR platforms
- Deterministic workflow engine with typed, logged steps; ambiguous outcomes route to human worklists rather than failing silently
- Server-side identity verification for protected workflows using roster or EHR fields; caller ID alone is never treated as proof
- Consent and quiet-hour controls enforced in code, including STOP opt-out handling and timezone-aware calling
- Reusable templates for pathways, workflows, and longitudinal programs, versioned and auditable at each deployment
- Support for 23 languages with interpreter mode for multilingual patient engagement
- HIPAA compliance, SOC 2 Type II certification, and FHIR R4 compatibility for healthcare-grade security and interoperability
- Performance analytics dashboard reporting on quality, utilization, and risk-adjustment metrics