UX design for credentialing workflows: cutting the paperwork burden

Ask anyone who has renewed a professional credential how the process felt, and "smooth" is rarely the word they choose. Credentialing workflows accumulate complexity over time - a form here, a manual review step there, a new document requirement from one payer - until providers and administrators spend more effort managing the process than the credential itself requires.

The UX problem is almost never one bad screen. It is three issues that compound: paperwork that could be structured data, the same information typed in again and again, and status that leaves everyone unsure what happens next. This article covers how to design around all three.

Why credentialing UX matters to the business

Credentialing delays are not only frustrating; they hold up when a clinician can start seeing patients and when an organisation can bill for their work. A November 2025 MGMA Stat poll of 131 medical group leaders found that 65% said new-hire credentialing, recredentialing and reappointment files were on time - which means roughly a third were not, with 23% reporting a backlog.

The wider administrative picture points the same way. The 2025 CAQH Index estimated that US healthcare still has a $21 billion savings opportunity from fully automating manual and partially manual administrative transactions. Not all of that is credentialing, but credentialing is a textbook example of work that is still manual because the software around it makes structure hard.

Problem 1: Paperwork that should be data

Many credentialing tools digitise paper rather than redesign the process. The provider uploads a scanned licence; a coordinator reads the expiry date off the PDF and types it into a field; someone else sets a reminder in a spreadsheet. The document exists in the system, but the information inside it does not.

Better patterns:

• Capture structured fields first, documents second. Ask for the licence number, issuing state and expiry date as data, then attach the document as evidence.
• Pre-fill from trusted sources where possible. If a value can be verified from a primary source or an existing profile, show it for confirmation rather than asking the user to type it.
• Validate at entry. Catch format errors and expired dates immediately, not days later in review.
• Keep document requirements visible. Show exactly which documents are required for this provider type and this payer, and which are already on file.

Problem 2: Repeated data entry

If a provider types their licence number into three different forms, no amount of visual polish fixes the experience. The fix sits in the information architecture: one provider profile that every workflow reads from and writes back to.

This is where UX and engineering decisions must happen together. Before designing screens, map every piece of information the workflows need and answer three questions for each:

Doing this mapping up front is unglamorous. It is also the step that saves a redesign six months later.

Problem 3: Unclear status

"Active", "Verified", "Pending", "Expiring" - these words carry real weight in credentialing. When status is treated as an incidental label, people stop trusting it and start double-checking manually, which defeats the point of the system. Support tickets that ask "where is my application?" are almost always a status-design problem.

Treat status as a first-class pattern with five parts, defined once and used everywhere:

Rules that make the pattern work:

• The same status uses the same label, colour and icon everywhere - dashboards, detail pages, emails and exports.
• Never rely on colour alone; always pair it with text and an icon so the status is readable by everyone and in print.
• Every non-final status shows the next step and who owns it.
• Avoid vague intermediate states. "Processing" without a timeframe or owner generates support tickets.
• Show when the status last changed, so people can judge whether something is stuck.

Design the whole journey, not just the request form

Credentialing connects providers, coordinators, reviewers, and often external verification sources. Designing each role's screens as separate projects is how inconsistency creeps in. The workflows that genuinely reduce administrative burden share patterns across roles:

• Provider view: a checklist-style profile showing what is complete, what is missing and what is expiring, with one clear next action.
• Coordinator view: a queue sorted by what needs attention, with filters by status, due date and payer, and bulk actions for routine steps.
• Reviewer view: evidence and extracted data side by side, with a clear approve, reject or request-information decision and a reason field that feeds the audit trail.
• Notifications: reminders tied to real dates and statuses, written in the same language as the product.

This is the same principle behind design systems for healthcare product teams: consistency compounds across surfaces.

Remember who is using it and when

Clinicians already carry a heavy administrative load. A time-and-motion study of 57 US physicians published in Annals of Internal Medicine found that, during the office day, they spent 27.0% of their time on direct clinical face time and 49.2% on EHR and desk work - nearly two hours of screen and desk work for every hour with patients. Credentialing tasks land on top of that. Design for short sessions on mobile, clear save-and-return, and reminders that respect people's time.

Accessibility matters here too: providers and coordinators include people with low vision, motor impairments and other disabilities. Build contrast, keyboard access and clear error messages into the components from the start - see our practical WCAG guide for healthcare software.

Measuring whether the redesign worked

Pick a small set of measures before you start, so success is not judged on looks:

• Time from application start to submission, and from submission to verified.
• Percentage of applications returned for missing or incorrect information.
• Number of "where is my request" support contacts per 100 applications.
• Fields entered more than once per application (target: zero).
• Coordinator time per file, and the size of the backlog over time.

Frequently asked questions