Pusic MV - Search Results

1

Is Speed a Desirable Difficulty for Learning Procedures? An Initial Exploration of the Effects of Chronometric Pressure.

Gas BL, Buckarma EH, Cook DA, Farley DR, Pusic MV. Gas BL, et al. Among authors: pusic mv. Acad Med. 2018 Jun;93(6):920-928. doi: 10.1097/ACM.0000000000002167. Acad Med. 2018. PMID: 29419552

2

Experience curves as an organizing framework for deliberate practice in emergency medicine learning.

Pusic MV, Kessler D, Szyld D, Kalet A, Pecaric M, Boutis K. Pusic MV, et al. Acad Emerg Med. 2012 Dec;19(12):1476-80. doi: 10.1111/acem.12043. Epub 2012 Dec 11. Acad Emerg Med. 2012. PMID: 23230958 Free article.

3

Script concordance testing: assessing residents' clinical decision-making skills for infant lumbar punctures.

Chang TP, Kessler D, McAninch B, Fein DM, Scherzer DJ, Seelbach E, Zaveri P, Jackson JM, Auerbach M, Mehta R, Van Ittersum W, Pusic MV; International Simulation in Pediatric Innovation, Research, and Education (INSPIRE) Network. Chang TP, et al. Among authors: pusic mv. Acad Med. 2014 Jan;89(1):128-35. doi: 10.1097/ACM.0000000000000059. Acad Med. 2014. PMID: 24280838 Free article.

4

What's your best time? Chronometry in the learning of medical procedures.

Pusic MV, Brydges R, Kessler D, Szyld D, Nachbar M, Kalet A. Pusic MV, et al. Med Educ. 2014 May;48(5):479-88. doi: 10.1111/medu.12395. Med Educ. 2014. PMID: 24712933

5

Technology-enhanced simulation and pediatric education: a meta-analysis.

Cheng A, Lang TR, Starr SR, Pusic M, Cook DA. Cheng A, et al. Pediatrics. 2014 May;133(5):e1313-23. doi: 10.1542/peds.2013-2139. Epub 2014 Apr 14. Pediatrics. 2014. PMID: 24733867

6

Learning curves in health professions education.

Pusic MV, Boutis K, Hatala R, Cook DA. Pusic MV, et al. Acad Med. 2015 Aug;90(8):1034-42. doi: 10.1097/ACM.0000000000000681. Acad Med. 2015. PMID: 25806621

7

The Research on Medical Education Outcomes (ROMEO) Registry: Addressing Ethical and Practical Challenges of Using "Bigger," Longitudinal Educational Data.

Gillespie C, Zabar S, Altshuler L, Fox J, Pusic M, Xu J, Kalet A. Gillespie C, et al. Acad Med. 2016 May;91(5):690-5. doi: 10.1097/ACM.0000000000000920. Acad Med. 2016. PMID: 26466377

8

A Big Data and Learning Analytics Approach to Process-Level Feedback in Cognitive Simulations.

Pecaric M, Boutis K, Beckstead J, Pusic M. Pecaric M, et al. Acad Med. 2017 Feb;92(2):175-184. doi: 10.1097/ACM.0000000000001234. Acad Med. 2017. PMID: 27224299

9

Reporting Guidelines for Health Care Simulation Research: Extensions to the CONSORT and STROBE Statements.

Cheng A, Kessler D, Mackinnon R, Chang TP, Nadkarni VM, Hunt EA, Duval-Arnould J, Lin Y, Cook DA, Pusic M, Hui J, Moher D, Egger M, Auerbach M; International Network for Simulation-based Pediatric Innovation, Research, and Education (INSPIRE) Reporting Guidelines Investigators. Cheng A, et al. Simul Healthc. 2016 Aug;11(4):238-48. doi: 10.1097/SIH.0000000000000150. Simul Healthc. 2016. PMID: 27465839 Free article.

10

Fostering the Development of Master Adaptive Learners: A Conceptual Model to Guide Skill Acquisition in Medical Education.

Cutrer WB, Miller B, Pusic MV, Mejicano G, Mangrulkar RS, Gruppen LD, Hawkins RE, Skochelak SE, Moore DE Jr. Cutrer WB, et al. Among authors: pusic mv. Acad Med. 2017 Jan;92(1):70-75. doi: 10.1097/ACM.0000000000001323. Acad Med. 2017. PMID: 27532867

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