CHRONIC CARE

Proactive management for
long-lasting health.

Chronic conditions require ongoing medical care and can significantly impact a person's quality of life. Ardia leverages AI to improve efficiency, accuracy, and accessibility in managing these long-term health challenges.

COMMON TYPES

Understanding Chronic Conditions

❤️

Cardiovascular Diseases

Conditions affecting the heart and blood vessels, such as hypertension, coronary artery disease, heart failure, and stroke.

🩸

Diabetes

Metabolic disorder characterized by high blood sugar levels. Includes Type 1, Type 2, and gestational diabetes.

🫁

Chronic Respiratory Diseases

Conditions affecting the lungs and airways, such as asthma, COPD, cystic fibrosis, and sleep apnea.

🦴

Arthritis & Musculoskeletal

Inflammation or degeneration of joints and connective tissues, leading to pain and stiffness (e.g., osteoarthritis, rheumatoid arthritis).

🧠

Mental Health Conditions

Long-term disorders like major depressive disorder, bipolar disorder, schizophrenia, and anxiety disorders.

Neurological Conditions

Diseases affecting the brain, spinal cord, and nerves, such as Alzheimer's, Parkinson's, epilepsy, and MS.

🎗️

Cancer

Many types require long-term monitoring and treatment, effectively becoming chronic conditions.

💧

Chronic Kidney Disease

Progressive loss of kidney function over time, often caused by diabetes and high blood pressure.

AI SOLUTIONS

How AI Can Help

AI has immense potential to revolutionize chronic care by improving efficiency, accuracy, and accessibility.

1Reducing Wait Times

Intelligent Triage

AI algorithms analyze patient data (symptoms, history, vitals) to assess urgency and direct patients to the appropriate care setting, preventing unnecessary ER visits.

Automated Scheduling

Optimizes appointment scheduling by considering availability, preferences, and complexity. Predicts demand to help allocate resources effectively.

Virtual Consultations

AI-powered chatbots handle routine queries and provide preliminary diagnoses. Remote monitoring tracks vitals to flag anomalies without in-person visits.

2Early Recognition

Predictive Analytics

Analyzes health data (EHR, genetics, wearables) to identify patterns and risk factors before symptoms appear, enabling proactive interventions.

Image Analysis

Computer vision analyzes X-rays, MRIs, and CT scans to detect subtle signs of disease often missed by the human eye, aiding in early diagnosis.

NLP & Risk Assessment

NLP extracts insights from clinical notes. Personalized risk profiles allow for targeted preventive interventions, moving to a proactive 'health care' model.

Wearable Integration

Continuously monitors data from wearables for deviations in heart rate, sleep, or activity that could indicate the onset of a chronic condition.

The Shift to Proactive Management

Episodic Care

Patients are seen only when sick. Gaps in care lead to preventable complications.

With Ardia AI

Continuous, data-driven engagement. AI identifies risk factors early, enabling timely interventions.

Clinical Validation

32%
Reduction in Readmissions
Validated in a 12-month multi-site cohort study for CHF patients.
1.8
Point Drop in A1C
Average improvement for Type 2 Diabetes patients over 6 months.
Evidence-Based Care

Built on gold standards, optimized for outcomes.

We don't invent medicine; we scale it. Ardia's care pathways are rigorously aligned with guidelines from the ADA, AHA, and GOLD, ensuring every patient receives standard-of-care management.

  • Guideline-directed medical therapy (GDMT) automation
  • Privacy-first architecture (Your data is never sold)
  • Seamless EHR integration (Epic, Cerner, Athena)

Live Clinical & Patient AI assistant

One Ardia engine powers both sides: clinical documentation, care coordination, prior auth and surgery workflows for providers; time and money–saving guidance for patients and care coordinators. Upload a document or note and ask Ardia what you need.

Demo only. Don't upload real patient-identifiable documents here.

Not a doctor. For emergencies, call your local emergency number immediately.

ResponseMode: Patient
Ask a question to see how the patient, provider or care coordination agent explains the plan and next steps.