Before

• Dense, form-like layout required users to manually scan every field

• Matching and non-matching values were visually similar

• Important discrepancies (MRN, DOB, SSN) were easy to miss

• No clear prioritization of high-risk fields

• Cognitive load increased with record length and scrolling

After

• Grouped information into clear, semantic sections (Demographics, Contact, Problems, etc.)

• Introduced explicit match / no-match indicators at the field level

• Used visual cues to surface discrepancies immediately

• Reduced visual noise by simplifying layout and spacing

• Clearly labeled “New Patient” vs “Old Patient” context

• Consolidated decision action into a single, clear confirmation step

How the redesign reduced friction:

• Users can identify mismatches at a glance instead of reading every field

• High-risk discrepancies surface visually without interpretation

• Grouped sections reduce scrolling and mental context switching

• Visual confirmation reduces hesitation and second-guessing

• Clear merge action reinforces confidence in the final decision

UX shift:

From carefully reading to avoid mistakes → to seeing discrepancies and acting with confidence.

Why this matters:

• Patient merge errors can affect clinical safety and data integrity

• Administrative users work under time pressure with high accountability

• Reducing cognitive load lowers the likelihood of costly mistakes

• Clear visual guidance supports consistent decision-making across users

• Improved confidence reduces rework and audit risk

• Match indicators reduce reliance on memory and visual scanning alone

• Structured grouping improves readability and focus

• Consistent patterns support learnability for infrequent users

Accessibility considerations

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