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Methods of Documentation VII: EMR

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Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare...

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Updated: May 1, 2026

Optimized Workflow for Iterative Bleaching Extends Multiplexity Imaging of Highly Autofluorescent Clinical Samples

Optimized Workflow for Iterative Bleaching Extends Multiplexity Imaging of Highly Autofluorescent Clinical Samples

Published on: July 11, 2025

Electronic workflow for imaging in clinical research.

Rebecca A Hedges¹, Danielle Goodman, Peter B Sachs

¹Department of Radiology, School of Medicine, University of Colorado Anschutz Medical Campus, Mail Stop L954, 12401 E. 17th Ave., Aurora, CO, 80045, USA.

Journal of Digital Imaging

|April 4, 2014

Summary

This summary is machine-generated.

Implementing an electronic health record (EHR) system improved clinical trial imaging by optimizing workflows and communication. This enhanced imaging quality and compliance in research studies.

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Area of Science:

Medical Informatics
Radiology
Clinical Trials Management

Background:

Transitioning to electronic health record (EHR) systems necessitates reevaluating clinical trial workflows, particularly for radiological imaging which requires standardization.
Manual transcription of paper orders into EHR systems created inefficiencies and potential for errors in research imaging protocols.

Purpose of the Study:

To optimize the electronic health record (EHR) system for research imaging protocols during the transition from paper-based workflows.
To address challenges in communication, automated exam ordering, billing control, automated exam finalization, and specialized interpretation alerts within the EHR.

Main Methods:

A multidisciplinary team collaborated to reconfigure the EHR system.
Optimized the 'visit type' functionality for enhanced control over exam scheduling.
Integrated grant identification numbers into work queues for improved billing and tracking.

Main Results:

Resolved issues related to communication, automated scheduling, and billing for research imaging.
Implemented functionality for automatic exam finalization and alerts for specialized interpretations.
Reduced errors and improved imaging quality and compliance through EHR optimization.

Conclusions:

EHR system optimization is crucial for efficient and compliant clinical trial imaging.
The implemented solutions successfully streamlined research imaging workflows, enhancing data integrity and operational efficiency.