Tags

Type your tag names separated by a space and hit enter

Collective Intelligence of Peer Learning: Promoting Culture of Learning and Improvement Among Radiologists.
Curr Probl Diagn Radiol. 2020 Oct 05 [Online ahead of print]CP

Abstract

The traditional Scoring-Based Peer Review system has been the predominant radiology performance quality assurance model, which can become a condemning, ineffective process. In 2015, the Institute of Medicine called for "policies and practices that promote a non-punitive culture that values open discussion and feedback on diagnostic performance." The development of Peer Learning (PL), a process that encompasses peer feedback, learning, and improvement, has positively impacted radiology through the recognition of success, identification of mistakes as learning opportunities, and development of a professional culture of trust. Furthermore, collective intelligence advances the PL process within the learning community, optimizing the abilities of a group effort that outperform that of a single individual, especially in the setting of complex medical and diagnostic imaging decision-making. The objective of the review article is to highlight the collective intelligence aspect of PL program, which allows PL to be more effective than established peer review model.

Authors+Show Affiliations

Department of Radiology, Loma Linda University Medical Center, Loma Linda, CA.Department of Radiology, Mayo Clinic - Arizona, Phoenix, AZ. Electronic address: tan.nelly@mayo.edu.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

33032854

Citation

Liao, Millie, and Nelly Tan. "Collective Intelligence of Peer Learning: Promoting Culture of Learning and Improvement Among Radiologists." Current Problems in Diagnostic Radiology, 2020.
Liao M, Tan N. Collective Intelligence of Peer Learning: Promoting Culture of Learning and Improvement Among Radiologists. Curr Probl Diagn Radiol. 2020.
Liao, M., & Tan, N. (2020). Collective Intelligence of Peer Learning: Promoting Culture of Learning and Improvement Among Radiologists. Current Problems in Diagnostic Radiology. https://doi.org/10.1067/j.cpradiol.2020.09.017
Liao M, Tan N. Collective Intelligence of Peer Learning: Promoting Culture of Learning and Improvement Among Radiologists. Curr Probl Diagn Radiol. 2020 Oct 5; PubMed PMID: 33032854.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Collective Intelligence of Peer Learning: Promoting Culture of Learning and Improvement Among Radiologists. AU - Liao,Millie, AU - Tan,Nelly, Y1 - 2020/10/05/ PY - 2020/04/30/received PY - 2020/08/31/revised PY - 2020/09/15/accepted PY - 2020/10/9/entrez PY - 2020/10/10/pubmed PY - 2020/10/10/medline JF - Current problems in diagnostic radiology JO - Curr Probl Diagn Radiol N2 - The traditional Scoring-Based Peer Review system has been the predominant radiology performance quality assurance model, which can become a condemning, ineffective process. In 2015, the Institute of Medicine called for "policies and practices that promote a non-punitive culture that values open discussion and feedback on diagnostic performance." The development of Peer Learning (PL), a process that encompasses peer feedback, learning, and improvement, has positively impacted radiology through the recognition of success, identification of mistakes as learning opportunities, and development of a professional culture of trust. Furthermore, collective intelligence advances the PL process within the learning community, optimizing the abilities of a group effort that outperform that of a single individual, especially in the setting of complex medical and diagnostic imaging decision-making. The objective of the review article is to highlight the collective intelligence aspect of PL program, which allows PL to be more effective than established peer review model. SN - 1535-6302 UR - https://www.unboundmedicine.com/medline/citation/33032854/Collective_Intelligence_of_Peer_Learning:_Promoting_Culture_of_Learning_and_Improvement_Among_Radiologists_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0363-0188(20)30193-6 DB - PRIME DP - Unbound Medicine ER -
Try the Free App:
Prime PubMed app for iOS iPhone iPad
Prime PubMed app for Android
Prime PubMed is provided
free to individuals by:
Unbound Medicine.