Decreasing CT Acquisition Time in the Emergency Department through Lean Management Principles.
Radiographics
; 41(3): E81-E89, 2021.
Article
em En
| MEDLINE
| ID: mdl-33939543
Background Emergency departments (EDs) rely on advanced imaging such as CT for diagnosis. Owing to increased ED volumes at the authors' institution, CT image acquisition became a significant bottleneck in ED patient throughput. Methods A multidisciplinary team was formed to solve this complex patient flow issue. Lean management principles were leveraged to identify process gaps and institute changes to achieve workflow improvements, remove process wastes, and improve patient throughput in the ED CT scanner. Process metrics such as percentage of CT examinations completed within 120 minutes and monthly median examination turnaround time (TAT) were tracked on a monthly basis. To measure impact, outcome metrics such as time savings from elimination of wasted steps were developed. Interventions Four projects including development of an ideal staffing model, a patient flow worksheet, revision of the CT patient screening form, and examination prioritization efforts were tested. Just-do-it activities such as revision of the CT angiography protocol ordering tool, optimizing scanner utilization, and improving communication and collaboration between the radiology department and ED were also attempted. Results After a phased rollout of changes over 6 months, the percentage of ordered ED CT examinations completed within 120 minutes increased by 10% (61%-71%); however, this improvement was sustained for only 6 weeks. Elimination of process inefficiencies resulted in a monthly median TAT reduction from 90-109 minutes to 82-106 minutes, and approximately 6 weeks (268 hours) of annualized full-time technologist time was saved. Conclusion Lean management tools can be leveraged to solve complex ED CT patient flow issues and reduce TAT. Online supplemental material is available for this article. ©RSNA, 2021.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Tomografia Computadorizada por Raios X
/
Serviço Hospitalar de Emergência
Tipo de estudo:
Guideline
/
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
Radiographics
Ano de publicação:
2021
Tipo de documento:
Article