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Optimizing acute stroke treatment process: insights from sub-tasks durations in a prospective observational time and
Gizem Koca1, Mukesh Kumar1, Gord Gubitz2,3
1Department of Industrial Engineering, Faculty of Engineering, Dalhousie University, Halifax, NS, Canada.
Delays in acute ischemic stroke treatment occur during specific sub-tasks, especially when performed by non-stroke neurologists or outside routine hours. Optimizing these critical steps can significantly improve patient outcomes and treatment efficiency.
Area of Science:
- Neurology
- Healthcare Management
- Medical Process Optimization
Background:
- Rapid treatment is crucial for acute ischemic stroke (AIS) patients.
- Optimizing the Acute Stroke Protocol (ASP) involves minimizing key performance metrics like door-to-needle time (DNT).
- Identifying specific delays within the ASP can reveal opportunities for process improvement.
Purpose of the Study:
- To identify and analyze sub-tasks contributing to delays in AIS treatment within the ASP.
- To compare treatment process durations during routine hours versus after-hours.
- To compare treatment process durations between stroke and non-stroke neurologists.
Main Methods:
- A two-phase prospective observational time and motion study was conducted.
- 34 sub-tasks were identified and categorized.
- Treatment process durations and key performance metrics (DNT, CTNT, CTGP, DGPT) were analyzed for 185 AIS patients.
Main Results:
- Significant delays were observed in triage, registration, history sharing, treatment decisions, and preparation phases.
- Delays were more pronounced when non-stroke neurologists managed cases or during after-hours operations.
- Key performance metrics (DNT, CTNT, CTGP) were significantly prolonged for non-stroke neurologists and after-hours treatment.
Conclusions:
- Specific sub-tasks within the ASP are major sources of delay.
- Targeted interventions focusing on non-stroke neurologists and after-hours care can optimize AIS treatment.
- Improving efficiency in these areas has the potential to significantly enhance patient outcomes.
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