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Session: Poster Session 1 (Even numbers)
Session starts: Thursday 26 January, 16:00
Presentation starts: 16:00

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Igor Paulussen ()
Alyssa Venema ()
Anne-Marie van Oers ()
Mike Bemelman ()
Lise van Turenhout ()
Gerrit Noordergraaf ()

Abstract:
Main research question: Workflow management in trauma care has been associated with higher efficiency and effectivity. Carefully standardized practice, particularly in teams with large numbers of participants per discipline, are a golden standard. However, monitoring workflow, professional activities and movement within the trauma bay remain exceptionally difficult. Can a Biomedical Engineering (BME) approach help? The Elisabeth-TweeSteden Hospital (ETZ) recently investigated the stoke pathway workflow using a Real Time Location System (RTLS). This innovative system registers the location of patient, nursing and medical staff every moment during the care pathway. Granularity was low at “room” level. We will assess this bio-engineering approach in its ability to offer insights into a team approach using a high granularity setting in a trauma bay around a trauma stretcher during actual acute care admissions. Research method: The ETZ workflow for acute care admissions is per-protocol, presumably leading to a strongly coordinated, reproducible, rapid decision making and high quality process. This, however, has not been validated and ad hoc verbal feedback suggests potentially large protocol interpretations and deviations. In the proposed study the RTLS granularity will be higher than previously described and combined with output from the real time Electronic Medical Record (EMR). Multiple virtual, small, designated work areas have been identified within the trauma bay, allowing recognition of movement in- and outside each task area. For privacy purposes, RTLS Tags will be incorporated in the discipline-coded vests. The patient will receive a tagged bracelet. Results & discussion: We expect circa 100 cases per month. Outcome measures are: a) adherence to the workflow protocol and cause-effect relationships, corrected for trauma severity; b) relationships between frequency of out-of-area movement and time/quality; c) relationships between team assessment of their own workflow adherence versus RTLS/EMR demonstrated adherence; d) ability of RTLS (tags) to support the granularity within a trauma bay. Conclusions: This study will landmark logistic and professional quality in a high granularity setting showing the value of integrating engineering in care pathways.