Improving the Quality of Bone Marrow Specimen Collection Through Powered Bone Marrow Device Simulation and Supervised Procedures

Improving the Quality of Bone Marrow Specimen Collection Through Powered Bone Marrow Device Simulation and Supervised Procedures Purpose This quality improvement (QI) project aimed to implement powered bone marrow simulation training and supervised procedures for the Advanced Practice Provider (APP) proceduralists to increase proceduralists' use of powered bone marrow devices and reduce poor bone marrow sampling. Background This project was implemented within the Bone Marrow Aspiration Clinic (BMAC) of an academic cancer center in Houston, Texas. Methodology Five APP proceduralists completed powered bone marrow device simulation training on the Bone Marrow (BM) Skills Simulator, followed by supervised procedures. Data were collected for six weeks post-intervention. Results Results showed that the poor BM sampling mean post-intervention decreased by 4.82% (mean=22.16%, median=22.5%, n=20). The pre-intervention's mean was 26.98% (median=27.93%, n=44). Post-intervention use of powered bone marrow devices had a mean of 6.42% (n=7) with a baseline of 0%. Implications Powered bone marrow device simulation training using a BM Skills Simulator and supervised procedures can enhance APP proceduralists' ability to collect better quality samples and improve BMAC patient outcomes by reducing unfavorable consequences related to poor BM sampling. Additional participants, time for intervention, and data collection are needed to mitigate the project's limitations and provide better insight into the effectiveness of this intervention.

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Journal
Digital Commons-TMC (Texas Medical Center)
Published
2026-05-01
Primary Topic
Superconducting and THz Device Technology
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article
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article

Improving the Quality of Bone Marrow Specimen Collection Through Powered Bone Marrow Device Simulation and Supervised Procedures

Digital Commons-TMC (Texas Medical Center)
Superconducting and THz Device Technology
article

Improving the Quality of Bone Marrow Specimen Collection Through Powered Bone Marrow Device Simulation and Supervised Procedures

article en

Abstract

Improving the Quality of Bone Marrow Specimen Collection Through Powered Bone Marrow Device Simulation and Supervised Procedures Purpose This quality improvement (QI) project aimed to implement powered bone marrow simulation training and supervised procedures for the Advanced Practice Provider (APP) proceduralists to increase proceduralists' use of powered bone marrow devices and reduce poor bone marrow sampling. Background This project was implemented within the Bone Marrow Aspiration Clinic (BMAC) of an academic cancer center in Houston, Texas. Methodology Five APP proceduralists completed powered bone marrow device simulation training on the Bone Marrow (BM) Skills Simulator, followed by supervised procedures. Data were collected for six weeks post-intervention. Results Results showed that the poor BM sampling mean post-intervention decreased by 4.82% (mean=22.16%, median=22.5%, n=20). The pre-intervention's mean was 26.98% (median=27.93%, n=44). Post-intervention use of powered bone marrow devices had a mean of 6.42% (n=7) with a baseline of 0%. Implications Powered bone marrow device simulation training using a BM Skills Simulator and supervised procedures can enhance APP proceduralists' ability to collect better quality samples and improve BMAC patient outcomes by reducing unfavorable consequences related to poor BM sampling. Additional participants, time for intervention, and data collection are needed to mitigate the project's limitations and provide better insight into the effectiveness of this intervention.

Digital Commons-TMC (Texas Medical Center)
Texas Medical Center (US)
No poverty
Openalex Percentile: Top 98%
Superconducting and THz Device Technology
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Improving the Quality of Bone Marrow Specimen Collection Through Powered Bone Marrow Device Simulation and Supervised Procedures · Digital Commons-TMC (Texas Medical Center) (2026) | TGRS Research Map | TGRS