Σφακιανάκης Αλέξανδρος
ΩτοΡινοΛαρυγγολόγος
Αναπαύσεως 5 Άγιος Νικόλαος
Κρήτη 72100
00302841026182
00306932607174
alsfakia@gmail.com

Αρχειοθήκη ιστολογίου

! # Ola via Alexandros G.Sfakianakis on Inoreader

Η λίστα ιστολογίων μου

Τρίτη 6 Φεβρουαρίου 2018

Skills Decay in Military Medical Training: A Meta-synthesis of Research Outcomes.

Skills Decay in Military Medical Training: A Meta-synthesis of Research Outcomes.

Mil Med. 2018 Jan 01;183(1-2):e40-e44

Authors: Linde AS, Caridha J, Kunkler KJ

Abstract
Background: In fiscal year 2012, the Medical Simulation and Information Sciences Research Program released two Skills Decay (SD) research program announcements (PAs) under the Medical Readiness Initiative entitled "Medical Practice Initiative Breadth of Medical Practice & Disease Frequency Exposure (MPI-BMP)" and the "Medical Practice Initiative Procedural Skill Decay and Maintenance (MPI-PSD)." The Office of Naval Research also released a PA entitled "Medical Modeling and Simulation (MM&S) for Military Training and Education." A total investment of $12 M was made. This article provides a meta-synthesis of the Skills Decay research conducted under these efforts.
Methods: The MSIRRP Medical Simulation Portfolio collected, reviewed, and analyzed the final reports of the Skills Decay research efforts from the three PAs. This paper provides a meta-synthesis of the outcomes of those studies. Focus of this study was to determine if the anticipated goals of the Skills Decay PAs were met as well as to provide a summary of lessons learned to the research community.
Discussion: Fourteen research questions posed by the PAs were structured into four main goals: (1) Skills Decay identification, (2) creation/validity of Skills Decay tools and feasibility and viability of data extraction project, (3) refreshment training to prevent or alleviate Skills Decay project, and (4) Skills Decay education content.
Conclusion: Using a combination of training styles, choosing variables known to have Skills Decay predication value, and developing better ways of mining available data that can, in turn, provide feedback to training needs, it is possible for accurate Skills Decay models to be developed. These technologies have the ability not only capture the learner's reaction during the simulation, but to capture the simulation outcomes to predict a medical professional's level of experience and background. Lessons learned from the investments made by the government are extremely important in order to ensure that the outcomes of the research touch the lives of the warfighter.

PMID: 29401337 [PubMed - in process]



http://ift.tt/2BK5MB2

Δεν υπάρχουν σχόλια:

Δημοσίευση σχολίου

Αρχειοθήκη ιστολογίου