Objective:

The article argues that ophthalmologists should actively shape how AI and analytics are introduced into clinical practice, rather than passively receiving tools and systems designed by others.

Approach:

• Clinical care: The author argues that providers should help design AI for use in the exam room to support, rather than undermine, the doctor-patient relationship. Clinical decisions remain the physician’s responsibility.
• Practice operations: The author describes a site where context-free weekly productivity reports made providers feel watched and stressed. Managers changed course by first asking providers about their goals and support needs, then selecting analytics and benchmarks with them.
• Professional role: The article encourages physicians to participate in decisions about which metrics and technologies are used, including distinguishing measures relevant to care from those that are merely easy to count.

Key Findings:

• The author says AI may create efficiencies while also increasing uncertainty and shifting documentation and workload onto providers.
• In the author’s account, productivity reports without context caused stress and prompted some doctors to discuss leaving.
• After managers consulted providers about goals, analytics, and benchmarks, the author reports that the approach worked; the data and technology stayed the same, while providers gained a role in defining their purpose.

Interpretation:

The author presents physician involvement in AI design and data use as a way to preserve trust in patient care and ensure that technology and metrics reflect providers’ goals.

Limitations:

• The context is an opinion-style account and does not provide systematic study methods or quantitative outcome data.
• The described productivity-report experience is a single-site anecdote.

Sources:

• Article context provided