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AI CLINICAL AGENTS

AI That Triages Like Your Best Nurse -- 24/7

25+ specialized clinical AI agents that combine deep clinical training, real-time patient data, and cross-specialty collaboration to deliver evidence-based guidance -- instantly.

See AI Agents in Action

Generic chatbots give the same answer whether a patient is on Day 3 or Day 10 of FOLFOX. MemberCare's clinical agents are different. Each agent is trained on specific drug regimens, clinical protocols, and evidence-based guidelines -- and has access to that patient's real-time glucose readings, lab results, medications, and vitals. When questions span specialties, agents autonomously consult specialist peers for comprehensive guidance.

Why MemberCare AI Is Different

Not a generic chatbot. Clinical intelligence built for specialty care.

Regimen-Specific

Every agent is trained on specific drug regimens, clinical protocols, and evidence-based guidelines -- not general medical knowledge.

Multi-Specialty Collaboration

When a clinical question spans multiple domains, our agents collaborate across specialties automatically -- just like your best care team.

Context-Aware

Every AI interaction is informed by the patient's real-time clinical data -- vitals, labs, medications, activity, and care history.

Always Learning

Continuously updated with the latest clinical guidelines, drug approvals, and treatment protocols to keep your care team ahead.

Agent Categories

Specialized agents for every clinical domain -- from disease management to oncology treatment protocols.

Disease-Specific Agents

Diabetes agent for CGM interpretation and insulin management. Dementia agent for cognitive decline and caregiver support. Breast Cancer agent in English and Spanish. Alzheimer's agents for Kisunla and Leqembi with ARIA monitoring.

Clinical Specialist Agents

Lab Results Analyst for CBC, metabolic panels, cardiac markers, and critical values. Nutrition agent for dietary assessment and meal planning. Medication Therapy, Triage, Care Plan Designer, and Prior Auth Expert for payer rules and denial appeals.

Oncology AI (100 Agents)

50 provider-facing and 50 patient-facing agents across 8 treatment modalities: chemotherapy (15 regimens), immunotherapy, CAR-T, targeted therapy, hormonal therapy, radiation, and chemoradiation. Deep clinical training for every regimen and drug class.

Cross-Specialty Consultation

When a question spans multiple specialties, our AI automatically consults the relevant specialist AI. A diabetes agent analyzing a glucose spike after dinner consults the nutrition AI for meal-glucose analysis -- then returns a unified, evidence-based response to the patient or provider.

Patient-Facing Agents

Warm, nurse-like tone -- not clinical jargon. Multi-turn assessments that ask follow-up questions before triaging. Emergency-first responses: fever during chemo means ER immediately, no exceptions. Immediate self-care actions alongside escalation guidance.

Protocol & Workflow Agents

Protocol Care Assistant with a comprehensive clinical protocol library supporting oncology, neurology, rheumatology, and more. Care Plan Designer for AI-assisted care plan creation. Questionnaire Designer for dynamic clinical form generation. Receptionist Agent for patient engagement.

Deploy New Agents in Hours, Not Months

New therapy protocols and regimen agents are deployed rapidly -- so your AI keeps pace with evolving treatment guidelines.

01

Define Scope

Define the agent's clinical scope, escalation rules, and response tone.

02

Apply Clinical Intelligence

Leverage evidence-based guidelines and specialized training across drug classes and treatment protocols. No retraining required.

03

Configure Peers

Define which specialist agents this agent can consult for cross-domain questions.

04

Go Live

Deploy to production. The agent is immediately available to patients and providers with multi-tenant isolation.

Not a Generic Chatbot

MemberCare agents deliver regimen-specific clinical intelligence that understands where a patient is in their treatment journey.

Capability Generic Chatbots ePRO Dashboards MemberCare AI
Response type Same generic response for all patients Passive data collection only Regimen-specific clinical intelligence
Response time 6-8 hours average N/A -- waits for clinician review Instant, 24/7
Clinical intelligence Same response for mild and severe No triage capability Knows Day 10 FOLFOX fever = febrile neutropenia emergency
Patient guidance Generic advice None -- waits for clinician Action-first: immediate self-care steps + escalation
25+ Clinical Agents
100 Oncology Agents
Curated Clinical Knowledge
Deep Clinical Data Integration
100+ Languages

Frequently Asked Questions

Common questions about MemberCare's AI clinical agents and how they work.

AI clinical agents are specialized, clinically-trained AI systems designed for specific medical domains — not general-purpose chatbots. Each agent is trained on drug-specific protocols, clinical guidelines, and evidence-based knowledge bases. They access real-time patient data through 108+ clinical data plugins, ask multi-turn follow-up questions before triaging, and can consult other specialist agents through Agent-to-Agent (A2A) peer consultation when questions span domains.

MemberCare includes 25+ specialized clinical AI agents covering diabetes, oncology (100 regimen-specific agents across 50+ protocols), Alzheimer's disease, nutrition, lab interpretation, medication therapy, triage, care planning, prior authorization, and more. Each agent is continuously updated with the latest clinical guidelines and can access real-time patient data for context-aware responses.

AI agents provide 24/7 regimen-specific symptom triage. When a patient reports symptoms outside office hours, the agent assesses severity based on the patient's specific treatment protocol, asks targeted follow-up questions, provides immediate self-care actions when appropriate, and escalates true emergencies with clear instructions. For oncology patients, the agent knows that certain symptoms — like fever above 100.4°F during chemotherapy — require immediate ER evaluation, no exceptions.

A2A peer consultation enables AI agents to autonomously consult specialist peers when patient questions span clinical domains. For example, when a diabetes patient asks about meal planning and its effect on glucose, the Diabetes Agent consults the Nutrition Agent for meal-specific guidance, then synthesizes both perspectives into a unified response — similar to how physicians consult specialists in clinical practice.

New AI agents can be deployed in 3-5 hours using MemberCare's composable agent architecture. Each agent is built from an instruction file plus shared knowledge bases plus domain-specific knowledge bases. This means adding support for a new drug regimen or clinical specialty doesn't require code changes — just clinical knowledge base configuration and testing.

See AI Agents in Action

Watch how MemberCare's AI agents deliver regimen-specific clinical intelligence -- from patient triage to cross-specialty collaboration.

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