Technology can support clinicians, but it can also be relied on too heavily—especially when staffing is tight, appointments are short, or information is fragmented across systems.
In Lehi and nearby communities, it’s common for patients to receive parts of their care in different settings (for example: urgent care, imaging centers, hospital systems, specialty referrals, and follow-up clinics). When results move between providers, diagnostic errors can slip through the gaps.
AI may be involved in ways that affect decisions and documentation, such as:
- Risk scoring and triage routing that influences how urgently symptoms are addressed
- Clinical decision support that flags a possible condition but can be treated as “settled” rather than one factor
- Imaging or lab interpretation workflows where outputs are interpreted quickly
- Documentation assistance that unintentionally omits symptoms, timing, or patient history details
A key point for Lehi residents: a later “correct” diagnosis doesn’t automatically erase earlier harm. The legal focus is often whether the earlier diagnostic process met the standard of care and whether the delay or error contributed to the outcome.


