Streamlining admission documentation for emergency departments
Improve Time-to-Productivity
Admit Challenge
Admission documentation delays in the Emergency Department (ED) are reducible at the point of entry. Most Electronic Health Record (EHR) systems do not guide clinicians through the admission workflow efficiently.
Every ED admission involves triage notes, initial assessment, medication reconciliation, disposition decision, and bed assignment, each in a different EHR module. The correct sequence changes by acuity level, admission type, and receiving ward. The system does not surface the right path for any of them.
The delays follow predictable patterns. A nurse searches for the correct order set after the admission type changed at triage. A resident completes the initial assessment but misses medication reconciliation in a separate module. Disposition fields are left incomplete because requirements differ by receiving ward. These are not competence failures. The EHR does not guide the correct documentation sequence, and classroom training cannot keep pace with variations that change by shift, by acuity, and by department.
Our Solution
Userlane is a software adoption platform that works inside browser-based applications. For ED admission workflows, it reduces documentation time where delays happen: inside the EHR, during the admission itself.
Guiding the correct admission sequence
In-app guidance walks ED staff through the documentation pathway that matches the specific admission type: trauma, acute medical, psychiatric hold, paediatric, or observation. Each pathway follows the correct screen sequence inside the EHR, eliminating the search for the right module and the right order set.
Catching missing fields before disposition
Validators check each admission record as the clinician completes it. A medication reconciliation left incomplete, a disposition field left blank, a required assessment not documented for the receiving ward: each is flagged before the patient leaves the ED, not discovered on the inpatient floor.
Tracking admission documentation efficiency
The HEART Score, Userlane’s application health metric, tracks the share of admission records completed correctly on the first attempt and the time from admission decision to documentation completion. The clinical informatics team sees the breakdown by admission type, shift, and staff cohort: where documentation accelerated and where bottlenecks remain.
Measure. Act. Prove.
Every deployment follows the same cycle. Measurement comes first, intervention second, proof third. The cycle repeats with each new workflow.
Measure
Userlane records every ED admission entry before any intervention starts. The data shows where documentation delays concentrate, so the team acts on evidence, not assumptions.
Validators observe. Every admission entry is recorded: which fields pass, which are skipped, where staff navigate to the wrong module before finding the correct one. Nothing changes for the clinicians. The EHR works exactly as before.
A pattern emerges. Trauma admissions take twice as long to document as acute medical admissions, not because of clinical complexity but because of a three-screen detour through the wrong order set. Medication reconciliation is completed on day shifts but skipped during overnight admissions. New residents miss the disposition field for psychiatric holds for the first two months. The HEART Score puts a single number on each admission pathway’s health.
The team sees the real problem. Not “everyone needs more ED training.” Two admission types need pathway guidance, and one field needs a Validator. The intervention writes itself.
Act
In-app guidance and Validators deploy only where the measurement found delays. Targeting the intervention is what makes the result provable.
Guidance activates. Only for the admission types that measured slowest. Trauma and psychiatric hold pathways get step-by-step navigation through the correct EHR screens. Acute medical admissions, which already run efficiently, see no change.
Validators catch missing fields. Medication reconciliation, disposition documentation, required assessments for the receiving ward: each is flagged before the record is saved. Admission types with low error rates are left alone.
The intervention stays proportional. High-delay admission types get guidance. Low-delay types are left alone. New residents get onboarding help that experienced ED clinicians never see.
Prove
The same measurement that found the problem now tracks whether the fix worked. A falling documentation time, confirmed against the department’s own throughput data, closes the loop.
The HEART Score moves. The same measurement that found the problem now tracks the fix. Completion rates and documentation times by admission type, shift, and cohort show whether the intervention worked.
Results track against the target. The goal the team set before the intervention tracks automatically. The quarterly review gets a before-and-after built from live data, not a separate report.
The cycle starts over. The EHR vendor releases an update to the ED module. The admission workflow changes. The HEART Score flags a dip. Measure, act, prove runs again. The infrastructure is already there.
Proven Impact
When in-app guidance and Validators replace classroom training and reference materials on ED admission workflows, the results show in the health system's own data: faster documentation completion, fewer incomplete records reaching the inpatient floor, and shorter time to competency for new residents and rotational staff.
Up to 97%
Task completion rate across enterprise deployments
Up to 75%
Reduction in training time for new staff
Up to 48%
Fewer support requests after deployment
Up to 60%
Lower training costs vs. classroom methods
Frequently Asked Questions
