Increasing Engagement of Imaging Professionals in Quality Improvement Using an Encounter-specific Quality-reporting Tool Article Swipe
Lynne Ruess
,
Benjamin P. Thompson
,
Erin L. Mesi
,
Margarita Chmil
,
Nicholas Zumberge
,
Kari Jorgenson
,
Rajesh Krishnamurthy
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1097/pq9.0000000000000673
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1097/pq9.0000000000000673
Introduction: The involvement of pediatric imaging professionals in quality improvement (QI) in our department was low, with few available informatics tools to report issues or suggest improvement opportunities in a timely and efficient manner. We aimed to increase QI engagement in radiology by creating a real-time, encounter-specific reporting tool embedded into the clinical imaging workflow. Methods: A multidisciplinary team outlined requirements for a new electronic quality-reporting tool, including point-of-care access during imaging workflow and simultaneous automatic capture of encounter-specific clinical information from the hospital information system. Information system experts created a user-friendly interface for categories based on stages of imaging workflow (Planning, Acquisition, Processing, Interpretation, Communication, and Data Collection). Team members trained all department staff. Quality coordinators sorted entries and monitored personnel engagement for two 36-week periods: immediately after launch and 3 years later. Descriptive statistics were used to analyze proposed and completed QI projects during these periods. Results: There were 1,498 entries during the first 36 weeks. Ninety-three percent of radiologists and 56% of technologists participated. Three years later, there were 1,251 entries in 36 weeks. Data collection entries for established QI projects increased from 380 (25%) to 487(39%). The engagement continued among radiologists but decreased among technologists over time. Submissions for QI projects increased from baseline. The project completion rate increased. Conclusion: We created a QI reporting tool embedded into the clinical imaging workflow, which improved the participation of our imaging professionals and increased the number of completed QI projects.
Related Topics
Concepts
Workflow
Informatics
Quality management
Health informatics tools
Medicine
Descriptive statistics
Health informatics
Documentation
Quality (philosophy)
Data collection
Multidisciplinary team
Project team
Medical physics
Medical education
Computer science
Knowledge management
Operations management
Nursing
Engineering
Database
Management system
Programming language
Electrical engineering
Public health
Statistics
Mathematics
Epistemology
Philosophy
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1097/pq9.0000000000000673
- OA Status
- diamond
- Cited By
- 1
- References
- 8
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385639691
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4385639691Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1097/pq9.0000000000000673Digital Object Identifier
- Title
-
Increasing Engagement of Imaging Professionals in Quality Improvement Using an Encounter-specific Quality-reporting ToolWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-07-01Full publication date if available
- Authors
-
Lynne Ruess, Benjamin P. Thompson, Erin L. Mesi, Margarita Chmil, Nicholas Zumberge, Kari Jorgenson, Rajesh KrishnamurthyList of authors in order
- Landing page
-
https://doi.org/10.1097/pq9.0000000000000673Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1097/pq9.0000000000000673Direct OA link when available
- Concepts
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Workflow, Informatics, Quality management, Health informatics tools, Medicine, Descriptive statistics, Health informatics, Documentation, Quality (philosophy), Data collection, Multidisciplinary team, Project team, Medical physics, Medical education, Computer science, Knowledge management, Operations management, Nursing, Engineering, Database, Management system, Programming language, Electrical engineering, Public health, Statistics, Mathematics, Epistemology, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2023: 1Per-year citation counts (last 5 years)
- References (count)
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8Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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