Ada's AI-powered symptom assessment and care navigation technology to...
capacity by educating patients,
reducing unnecessary encounters
and freeing up clinician time.
experiences by navigating
patients to appropriate and
cost-effective services.
access and reduce the
demand on triage nurses
and call centers.
Ada's AI supports thousands of conditions and is proven to be safe and, accurate in the real world and published research.
Most importantly, it's easy to use to ensure maximum user adoption.
With 35 million assessments already completed around the world, Ada has earned the trust of both patients and clinicians.
of patients are directed to lower urgency care
of uncertain patients are guided to a care choice
reduction in patient's waiting time
more consultations delivered
Ada worked with Sutter Health to help over 400,000 patients to navigate their care network. Together we supported patients to safely access lower acuity services, steer away from same-day settings, and utilize more cost-effective care.
Designed to mimic the thinking of human physicians, Ada supports patients' care journeys 24/7.
Features: Client-branded | 3,600 conditions, inc. rare, pediatric, obstetric, and mental health | 10,000+ symptoms and risk factors | Billions of symptom constellations | Easy web, app, and portal integration | Simplified language | Patient-friendly report | SSO for seamless UX | Bi-weekly optimizations.
Helps you better triage patients to the right care for their acuity and needs.
Features: 8 acuity levels from self-care to emergency | Offer customized questions | Measure user intent | Navigate based on acuity level or condition | Integrate with scheduling systems | Signpost to any appropriate service or resource.
Provide clinicians additional context and enhance the patient-doctor experience.
Features: Secure EHR or CRM integration using FHIR | Share report via EHR, CRM, email, or as PDF | Configurable consent | Linked to 31,000+ ICD-10 codes for accurate reporting and billing | Receive reports in a different language to assessment.
View aggregated anonymized data in near real-time.
Features: Track common symptoms, risks, and conditions | Capture patient demographics and care decisions | Advice, service selection, conversion, and satisfaction data across population | Feedback loops and SSO offer richer insights.
Ada's technology is:
Connected digital health initiatives are a key step in lower cost, faster, more equitable, and more convenient access to healthcare… We are excited to be a part of this COVID-19 Care Journey and for its potential to help reach some of the most vulnerable patients across the United States
Ada’s tool has improved our patient intake process by ensuring efficient preliminary assessments and directing patients to suitable care pathways.
Our shared goal is to enable anyone to take more ownership of their health via credible, science-based information delivered through products they know and can rely on.
Essentially we added hundreds of assessments per day without adding a single doctor to our mix.
Our collaboration with Ada is designed to educate patients on high-risk factors for severe COVID-19 and introduce choices for people to access a provider and learn about treatment options.
Ada launches first-of-type collaboration offering trustworthy maternal health advice via WhatsApp.
Giving patients an even more personal care experience across Jefferson's network.
Expanding access to mental health support.
The importance of Ada's Class IIa medical device certification.
Not all symptom checkers are created equal.
Disclaimer: Ada Assess is not a substitute for advice from a healthcare professional and does not provide a final medical diagnosis.
Gilbert, S. et al. (2020). How accurate are digital symptom assessment apps for suggesting conditions and urgency advice? A clinical vignettes comparison to GPs. BMJ Open.
Miller, S. et al (2020). Patients’ Utilization and Perception of an Artificial Intelligence–Based Symptom Assessment and Advice Technology in a British Primary Care Waiting Room. JMIR Human Factors.
Morse, K. et al (2020). Use Characteristics and Triage Acuity of a Digital Symptom Checker in a Large Integrated Health System: Population-Based Descriptive Study. J Med Internet Research.
Active post-market surveillance research with Ada clients (2023). AI-based Symptom Assessment as the Digital Front Door to Care and to Enhanced Physician/Patient Interaction: Real-World Evidence from Portugal and the Netherlands.
Scheder-Bieschin, J. et al (2022). Improving emergency department patient-doctor conversation through an artificial intelligence symptom taking tool: an action-oriented design pilot study. JMIR Formative Research.
