Review
Version 1
This version is not peer-reviewed
Streamlining Acute Stroke Processes and Data Collection: A Narrative Review
Version 1
: Received: 7 August 2024 / Approved: 8 August 2024 / Online: 9 August 2024 (09:54:46 CEST)
How to cite: Forward, A.; Sahli, A.; Kamal, N. Streamlining Acute Stroke Processes and Data Collection: A Narrative Review. Preprints 2024, 2024080632. https://doi.org/10.20944/preprints202408.0632.v1 Forward, A.; Sahli, A.; Kamal, N. Streamlining Acute Stroke Processes and Data Collection: A Narrative Review. Preprints 2024, 2024080632. https://doi.org/10.20944/preprints202408.0632.v1
Abstract
Background: Acute ischemic stroke treatment has been thoroughly studied to identify strategies to reduce treatment times. However, many centers still do not meet the benchmark time metrics. Additionally, smaller centers often face longer treatment times, yet studies focus primarily on larger, more advanced centers.
Objectives: The aim of this study is to analyze existing literature to understand the strategies implemented in primary and comprehensive stroke centers to reduce their treatment times, and categorize the studies based on methods used to improve their processes
Results: Three main categories of improvements were identified in the literature: 1) standardization of processes, 2) resource management, and 3) data collection. Both primary and comprehensive stroke centers were able to reduce treatment times through standardization of processes. However, challenges such as variations in resources between hospitals and difficulties in integrating data collection software into workflow were highlighted. Additionally, many strategies to optimize resource management and data collection were conducted in comprehensive stroke centers, which can benefit primary stroke centers.
Conclusions: Many existing strategies to improve treatment times are viable for both primary and comprehensive stroke centers. However, while data collection is recognized as crucial for process improvement, challenges persist in integrating data collection methods into clinical workflow. Proposed solutions include the development of easy-to-use software tailored to clinician needs.
Keywords
Acute stroke; workflow standardization; resource management; data collection; clinical workflow; primary stroke centers; comprehensive stroke centers
Subject
Public Health and Healthcare, Public Health and Health Services
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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