Field Research · Healthcare Technology

Uncovering Critical EMR Workflow Issues

Using observational research to identify and prioritize usability issues across a multisite pediatric practice.

Role
Usability Specialist, Research & Design Strategy
Methods
Field Study · Contextual Observation · Workflow Analysis
Duration
Two day field study
Participants
8 staff members
Output
18 usability findings · 11 actionable recommendations
01

The Challenge

Understanding the EMR in the context of real work

A multisite pediatric practice had used its electronic medical record system for nearly two decades, but staff continued to experience workflow issues that created extra work, uncertainty, and opportunities for error.

Our research team conducted an onsite field study to understand how the EMR fit into real clinical and administrative workflows and identify opportunities for improvement.

My role focused on contextual observation, synthesis, prioritization, and translating findings into product recommendations.

Research Questions

01

What challenges do staff experience while using the EMR?

02

Where does the system interrupt daily workflows?

03

Which features are helping or hindering staff?

02

Research Approach

Observing the workflow, not just the screen

Over two days, we observed eight staff members during regular working hours across clinical and administrative environments.

Participants included nurses, front office staff, a medical assistant, and administrative personnel.

We observed how staff actually worked with the EMR, paying particular attention to pauses, system switching, repetitive steps, manual work, and workarounds.

Handwritten field study notes from contextual observation
Field notes captured during onsite contextual observation.
03

18 Usability Findings

Patterns emerged across the practice

The field study surfaced usability issues across clinical, administrative, scheduling, reporting, and patient care workflows. Four themes represented some of the most consequential problems we observed.

Finding 01

Manual work created opportunities for error

Staff frequently entered incorrect immunization lot numbers, requiring manual auditing and inventory corrections. Lab results could also return as duplicate entries when codes did not match the original order, requiring staff to investigate and manually reconcile information.

Opportunity

Reduce repetitive data entry and automate workflows where manual intervention creates unnecessary risk.

Finding 02

Scheduling tools created preventable work

Configuring schedules for 10 providers could take approximately two days because date ranges had to be entered individually. Staff could also unknowingly attempt to book the same appointment slot because there was no concurrency notification.

Opportunity

Give staff better system feedback and reduce repetitive scheduling tasks.

Finding 03

Reporting created uncertainty

Practice managers relied on reporting data for operational decisions and external quality audits, but inconsistent results and unclear calculation requirements made it difficult to understand why scores differed between locations.

Opportunity

Make reporting logic more transparent so users can understand and trust the information they are presenting.

Finding 04

Clinical workflows increased cognitive load

Providers experienced frequent medication interaction alerts, contributing to alert fatigue. Some pediatric medication dosages required manual calculation or use of an external resource because the built in calculator did not support every medication.

Opportunity

Prioritize clinically meaningful alerts and reduce unnecessary mental calculation during patient care.

04

From Observations To Decisions

Not every usability issue carries the same weight

Finding usability issues was only the first part of the work. The next question was: Which problems should the team address first?

I applied a Usability Priority Scale that I co created with two UX mentors. We developed the framework to bring more consistency to how usability issues were evaluated, and it was later deployed to the broader UX team for collaborative prioritization.

Framework Dimensions

Task Completion

Can the user successfully complete the task?

Cognitive Load

How much mental effort does the task require?

Usability Priority Scale matrix showing Task Completion and Cognitive Load dimensions
Usability Priority Scale matrix co created with two UX mentors.

I used the framework to evaluate findings based on task completion and cognitive load, helping distinguish critical workflow barriers from lower impact usability issues and giving the team a shared way to discuss priority.

05

From Insight To Recommendation

Connecting observed friction to product opportunities

From the 18 findings, I translated prioritized issues into 11 actionable recommendations. The examples below show how key observations informed product recommendations.

Module 01: Immunization Management

Observation

Staff entered incorrect lot numbers and manually corrected inventory discrepancies.

Recommendation

Introduce barcode scanning for immunization entries and alert staff when inventory reaches zero.

Potential Value

Reduce manual entry and improve inventory accuracy.

Module 02: Appointment Scheduling

Observation

Multiple staff members could attempt to book the same appointment slot without knowing another user was already working in it.

Recommendation

Reintroduce or improve concurrency notifications.

Potential Value

Help prevent double bookings and scheduling conflicts.

Module 03: Reporting

Observation

Users struggled to understand why reports produced different results and what data was required to calculate scores.

Recommendation

Provide clearer report explanations and required data guidance.

Potential Value

Increase confidence when interpreting data used for quality audits and operational decisions.

Module 04: Medication Management

Observation

Frequent medication alerts contributed to alert fatigue, while some pediatric dosages required manual calculation.

Recommendation

Prioritize critical medication alerts and expand automatic dosage calculations.

Potential Value

Reduce unnecessary cognitive load and support safer clinical workflows.

Supporting Evidence

Provider scheduling

Configuring schedules for 10 providers could take approximately two days because date ranges had to be submitted individually.

Lab reconciliation

Staff manually investigated duplicate lab results and used external resources to reconcile mismatched codes.

Immunization management

Incorrect lot number entry required manual auditing and inventory corrections.

Medication management

Some pediatric medication dosages required manual calculation because the built in calculator did not support every medication.

06

Research Output

Turning field observations into actionable recommendations

18Usability findings
11Actionable recommendations

The research gave product teams visibility into how the EMR was being used in a real pediatric environment, including workarounds, external tools, repetitive tasks, and workflow interruptions that may not have been apparent from system data alone.

Recommendations focused on

  • Reducing manual intervention
  • Improving workflow efficiency
  • Increasing confidence in reporting
  • Reducing cognitive load
  • Supporting safer clinical workflows

Implementation and measurement after launch were outside the scope of this study. The benefits described in this case study represent recommended or potential outcomes rather than measured results.

07

REFLECTION

What this project reinforced

01

Observe the workflow, not just the screen

Watching people work in context exposed problems that would have been difficult to understand through interviews alone, including system switching, handwritten workarounds, repetitive processes, and interruptions.

02

Research needs prioritization

A long list of usability issues isn't enough. Translating findings through a prioritization framework helped connect user friction to task success, cognitive effort, and product decisions.

03

Small usability issues can compound across a workflow.

What appeared to be a small interaction problem could create downstream effects across staff workload, reporting, scheduling, and clinical care. The field study reinforced the importance of evaluating issues within the larger workflow rather than in isolation.