CSI Dy Eye Software has launched the latest software update (Version 5.0) for its artificial intelligence (AI)-based dry eye management program.
Let’s start with this company.
Designed and developed by Ahmed Al-Ghoul, MD, MBA, FRCSC, DipABO, a dry eye specialist, the AI-powered dry eye software company is working with eyecare professionals to provide better diagnostics via machine learning and cloud-based softwares.
How: by identifying patterns of abnormalities to guide ECPs toward identifying the root cause of dry eye disease (DED) in order to develop an appropriate and tailored treatment plan for patients.
The goal: to diagnose and manage DED quicker and more efficiently.
Talk about this program.
Per CSI, the system is trained to analyze various tests and questionnaires from ECPs and their patients, and then identify potential causes and treatments based on those results.
Which means: by looking at the root causes behind a patient’s DED and providing recommendations, this software “establishes a baseline of a patient’s dry eye status and allows for ongoing monitoring of a patient’s response to various treatments.”
What kind of features does this come with?
- Cloud-based software-as-a-service (SaaS)
- Enables ECPs to remotely access and edit patient files
- Machine learning algorithms
- Evidence-based algorithms and machine learning processes intended to eliminate biases in diagnosis and treatment processes
- Evidence-based medicine applied to real-life analysis of outcomes
- The result: faster and more effective results
- Treatment options database
- Includes comprehensive list of over-the-counter (OTC) products, prescriptions, procedures, and at-home exercises
So exactly how does it work?
CSI notes that the software operates most efficiently when it includes “the most comprehensive and accurate data possible.”
Along these lines … ECPs and patients are advised to follow three steps when using this system:
- Step 1: Patient’s role
- After signing up for a CSI assessment, a CSI-affiliated clinic will be recommended to a patient; then, a unique questionnaire will be sent via that clinic for the patient to complete.
- Step 2: Doctor’s role
- A CSI-affiliated ECP will perform diagnostics tests; results from those tests as well as the patient’s questionnaire and medical history are then added to the software
- Step 3: CSI’s role
- Software will make suggestions for potential diagnostic DED-related causes and connections, plus treatment plan options based on the data collected (ie: diagnosis).
- The goal: reduce chair time and DED-related diagnosis and treatment-based guesswork for an ECP
Now what about this new version?
The software’s Version 5.0 includes a number of new features:
- Expanded language support
- New: French and Spanish
- Enhanced visuals
- Assessments now integrate charts for a more accurate representation of severity levels and conditions
- Referral center
- CSI-affiliated may now manage incoming/outgoing referrals and add attachments
What else?
Three more features, according to CSI:
- Inbox system update
- Now features improved navigation, customized filtering, notification management, intake form prompts
- ECPs can also see when a patient completes a questionnaire
- Integrated (HIPAA-compliant) medical intake form
- Sent electronically to patient and integrated back into the software
- Medication notifications
- Alert for drug side effects or DED-related issues
So where can I demo this new feature?
Click here to schedule a demo.
And if you’re attending the American Society of Cataract and Refractive Surgeons (ASCRS) / American Society of Ophthalmic Administrators (ASOA) annual meeting (April 5-8, 2024) in Boston, Massachusetts, stop by Booth #2377 to learn more.
Note: CSI’s inventor and founder Dr. Al-Ghoul will be speaking at ASCRS in a session titled Machine Learning Model for Predicting Dry Eye Severity Using ASCRS Pre-Operative OSD Algorithm.