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Developing and Evaluating a Remote Quality Assurance System for Point-of-Care Ultrasound for an Internal Medicine Residency Global Health Track.
Fox, Steven; Fleshner, Michelle; Flanagan, Collin; Robertson, Thomas; Fujita, Ayako Wendy; Bhamidipati, Divya; Sindi, Abdulrahman; Purushothaman, Raghunandan; Bui, Thuy.
Afiliação
  • Fox S; Internal Medicine, University of Pittsburgh Medical Center, Presbyterian Pittsburgh, PA.
  • Fleshner M; Internal Medicine, University of Pittsburgh Medical Center, Presbyterian Pittsburgh, PA.
  • Flanagan C; Allegheny General Hospital, Internal Medicine Pittsburgh, PA.
  • Robertson T; Allegheny General Hospital, Internal Medicine Pittsburgh, PA.
  • Fujita AW; Internal Medicine, University of Pittsburgh Medical Center, Presbyterian Pittsburgh, PA.
  • Bhamidipati D; Internal Medicine, University of Pittsburgh Medical Center, Presbyterian Pittsburgh, PA.
  • Sindi A; Department of Emergency Medicine, King Abdulaziz University Jeddah Saudi Arabia.
  • Purushothaman R; Internal Medicine, University of Pittsburgh Medical Center, Presbyterian Pittsburgh, PA.
  • Bui T; Internal Medicine, University of Pittsburgh Medical Center, Presbyterian Pittsburgh, PA.
POCUS J ; 5(2): 46-54, 2020.
Article em En | MEDLINE | ID: mdl-36896436
ABSTRACT

Background:

A quality assurance system is vital when using point-of-care ultrasound (POCUS) to ensure safe and effective ultrasound use. There are many barriers to implementing a quality assurance system including need for costly software, faculty time, and extra work to log images.

Methods:

With minimal funding or protected faculty time, we successfully developed an effective remote quality assurance system between residents rotating internationally and faculty in the US.

Results:

270 total exams were logged using this system (41 per resident over a 7 week period). Over the course of the implementation period, a significant increase was seen in average image quality (p = 0.030) and percent agreement with reviewer (p = 0.021). No significant increase was seen for percent images with quality rating 5/5 (p = 0.068) or for studies per resident per week (p = 0.30). Discussion/

Conclusions:

A quality assurance system for remote review and feedback of POCUS exams was successfully developed with limited available funding, using consumer-level software and an educational collaboration. Residents used the system regularly and demonstrated improvement in reviewer-rated image acquisition and interpretation skills. A similar system can be applied for physicians in any geographic area looking to learn POCUS, in partnership with local or international POCUS mentors. We detail a step-by-step approach, challenges encountered, and lessons learned, to help guide others seeking to implement similar programs.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Ano de publicação: 2020 Tipo de documento: Article