Clinical Scorecard: Preparing for the AI-Enabled Practice
At a Glance
| Category | Detail |
|---|---|
| Condition | Strategic considerations for adopting artificial intelligence in ophthalmology practices |
| Key Mechanisms | AI may be embedded in commonly used technologies or offered as a product; companies may ingest data and information to build and monetize tools. |
| Target Population | Ophthalmology practice leaders evaluating or using AI-enabled technologies |
| Care Setting | Ophthalmology practice technology selection, procurement, and vendor contracting |
Key Highlights
- Define what an AI tool does and does not do, and distinguish meaningful solutions from hype.
- AI capabilities may already be embedded in commonly used technologies, including search and productivity tools.
- Before contracting for an AI solution, consider who owns the intellectual property, how data are used, what obligations apply if the product does not work as promised, and what termination rights are available.
- Technology products may no longer exist within two to three years; consider the risks of long-term commitments.
- The speaker encourages curiosity and exploration while advising skepticism and careful review of contractual obligations.
Guideline-Based Recommendations
Diagnosis
Management
- Before purchasing or contracting for an AI solution, consider whether relevant capabilities are already part of tools the practice uses.
- Review vendor contracts for intellectual property ownership, data use, obligations if the product does not work as promised, and termination rights.
- Understand contractual obligations before committing to an AI solution.
Monitoring & Follow-up
Risks
- Practices may financially commit to tools or features that are already part of a core solution or may not be necessary.
- Companies may ingest large quantities of data and information to build and monetize tools.
- Technology products may no longer exist within two to three years, creating risks for long-term commitments.
Patient & Prescribing Data
Not discussed; the article addresses practice leaders rather than patient treatment.
No patient treatment or prescribing information is provided.
Clinical Best Practices
- Define what an AI tool does and does not do before deciding whether to adopt it.
- Explore potential uses while maintaining skepticism about vendor claims and long-term viability.
- Review contractual obligations before signing or financially committing to an AI solution.
Related Resources & Content
This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.