Intravitreal injections and the EMR

Managing intravitreal injection records presents several challenges that can affect clinical workflows and patient outcomes. One major hurd...

Intravitreal injections and the EMR

Executive Summary

Challenges in Creating & Maintaining Intravitreal Injection Records

Managing intravitreal injection records presents several challenges that can affect clinical workflows and patient outcomes. One major hurdle is the requirement by insurance companies for prior authorizations and documented attempts at alternative treatments before approving preferred medications. This process adds administrative burden and delays in treatment initiation.

Additionally, manually recording lot numbers and serial numbers of medications is vital for traceability and patient safety but is a tedious and error-prone task.

Cartoon character overwhelmed and drowning in a sea of barcodes and numbers
Image generated with DALL-E

Another critical aspect is tracking historical intraocular pressure (IOP) changes over time, especially following injections. This often necessitates manual recording, which is time-consuming and susceptible to inaccuracies, complicating the ability to monitor treatment efficacy and make informed clinical decisions.

Furthermore, maintaining detailed records of patient responses to different medications over time is essential for personalized treatment plans. However, this requires meticulous documentation and analysis, often without adequate technological support, increasing the likelihood of human error and oversight.

AI to the Rescue?

The future of AI in clinical records is promising, but there are several reasons why it will be some time before it can be solely relied upon. Retrieval-augmented generation (RAG) is a method where a language model enhances its responses by retrieving relevant information from external sources, such as prior patient records, to generate more accurate and contextually rich answers. However, RAG can’t always understand all the nuances of prior records or, worse, might misinterpret them, leading to incorrect summaries.

New regulations regarding AI’s use in clinical decision-making will help increase confidence as companies will need to be transparent in how their models are trained and evaluated.

How Moyae Can Help

Moyae's injection flow is designed to help doctors efficiently review injection histories safely. Patient injection records are stored as FHIR objects from their creation, with a simplified method of quickly recording historical injections to gain value from the system immediately. Retina specialists can quickly review historical records when determining the best treatment for a patient and note when medication or dosage has changed. This is especially useful when dealing with insurance and proving that other options have been tried.


Finally, Moyae's summary includes an interactive graph of IOP over time, marking visit dates and detailed injection timestamps. Our focus on vision care allows us to continuously improve workflows.

We’re excited to share more of our roadmap over time. If you’re interested in being a part of the future of ophthalmology medical records, please reach out or schedule a demo today!




Sami is the CEO and cofounder of Moyae