AI tools streamline retina practices but adoption depends on workflow integration, says Aaron Lee

Speaking at the American Academy of Ophthalmology 2026 Annual Meeting, Dr. Aaron Y. Lee explained that AI tools are streamlining retina practices through ambient documentation, referral triage, and background image analysis. Following Washington University Medicine's partnership with Abridge, ambient AI reduced note completion time by 20% and boosted clinician relative value units. However, Lee cautioned that electronic health record integration remains a "last mile" barrier requiring industry collaboration.

AI applications in retina care

• ▪Aaron Y. Lee stated at the American Academy of Ophthalmology 2026 Annual Meeting that AI tools are streamlining retina practices and will soon become essential for patient care.
• ▪Ambient AI documentation tools automatically draft clinical notes by listening to conversations between clinicians and patients during retina care appointments.
• ▪Background AI applications in retina practices analyze optical coherence tomography scans, visual fields, and Optos images to prepare diagnostic results for clinician use.
• ▪Aaron Y. Lee identified ambient note drafting, intelligent referral triage, and background image analysis as three transformative AI applications in retina specialty care.

Intelligent referral triage AI

• ▪Intelligent referral triage AI software reads incoming faxed referrals to automatically route patients based on how urgently they require evaluation by a retina specialist.
• ▪Aaron Y. Lee cited intelligent referral triage as a key AI capability for prioritizing urgent patient care needs in retina practices.

AI solutions for patient scheduling

• ▪Aaron Y. Lee described administrative operational challenges like patient scheduling and no-show rates as problems that AI tools could solve almost completely.
• ▪AI scheduling tools operate in the background of healthcare practice systems to help reduce patient no-show rates.

Electronic health record integration barriers

• ▪Aaron Y. Lee called on the medical community to collaborate with health technology industry partners to bridge electronic health record integration gaps.
• ▪Aaron Y. Lee stated that restricted system access by electronic health record vendors creates a last mile integration barrier for AI tools in clinical practice.

Abridge implementation at Washington University

• ▪Clinicians at Washington University Medicine measured an increase in relative value units within the first few months after implementing Abridge ambient AI software.
• ▪A study conducted after Washington University Medicine adopted Abridge ambient AI demonstrated a 20% reduction in the time required for clinicians to complete clinical notes.
• ▪Washington University Medicine and BJC Health partnered in September 2026 to deploy Abridge ambient AI clinical documentation tools to 4,000 clinicians.

Debatable claims

• ▪EHR vendors should be required to provide open access to third-party AI tools
• ▪The efficiency gains of ambient AI documentation outweigh patient privacy concerns