Meruvia-Pastor Oscar, Patra Pranjal, Andres Karen, Twomey Creina, Peña-Castillo Lourdes
Department of Computer Science, Faculty of Science, Memorial University of Newfoundland, St John's, NL, Canada; Office of the Dean of Science, Faculty of Science, Memorial University of Newfoundland, St John's, NL, Canada.
Department of Computer Science, Faculty of Science, Memorial University of Newfoundland, St John's, NL, Canada.
Int J Med Inform. 2016 May;89:15-24. doi: 10.1016/j.ijmedinf.2016.02.007. Epub 2016 Feb 21.
OMARC, a multimedia application designed to support the training of health care providers for the identification of common lung sounds heard in a patient's thorax as part of a health assessment, is described and its positive contribution to user learning is assessed. The main goal of OMARC is to effectively help health-care students become familiar with lung sounds as part of the assessment of respiratory conditions. In addition, the application must be easy to use and accessible to students and practitioners over the internet.
OMARC was developed using an online platform to facilitate access to users in remote locations. OMARC's unique contribution as an educational software tool is that it presents a narrative about normal and abnormal lung sounds using interactive multimedia and sample case studies designed by professional health-care providers and educators. Its interface consists of two distinct components: a sounds glossary and a rich multimedia interface which presents clinical case studies and provides access to lung sounds placed on a model of a human torso. OMARC's contents can be extended through the addition of sounds and case studies designed by health-care educators and professionals.
To validate OMARC and determine its efficacy in improving learning and capture user perceptions about it, we performed a pilot study with ten nursing students. Participants' performance was measured through an evaluation of their ability to identify several normal and adventitious/abnormal sounds prior and after exposure to OMARC. Results indicate that participants are able to better identify different lung sounds, going from an average of 63% (S.D. 18.3%) in the pre-test evaluation to an average of 90% (S.D. of 11.5%) after practising with OMARC. Furthermore, participants indicated in a user satisfaction questionnaire that they found the application helpful, easy to use and that they would recommend it to other persons in their field.
OMARC is an online multimedia application for training health care students in the assessment of respiratory conditions. The software integrates multimedia technology and health-care education concepts to facilitate learning, while being useful and easy to use. Results from a pilot study indicate that OMARC significantly helps to improve the capacity of the users to correctly identify lung sounds for different respiratory conditions. In addition, participants' opinions about OMARC were quite positive: users were likely to recommend the application to other persons in their field and found the application easy to use and helpful to better identify lung sounds.
描述了OMARC,这是一款多媒体应用程序,旨在支持医疗保健提供者的培训,以便在健康评估中识别患者胸部常见的肺部声音,并评估其对用户学习的积极贡献。OMARC的主要目标是有效地帮助医护专业学生熟悉肺部声音,将其作为呼吸系统疾病评估的一部分。此外,该应用程序必须易于使用,并且学生和从业者可以通过互联网访问。
OMARC是使用在线平台开发的,以便于偏远地区的用户访问。OMARC作为一种教育软件工具的独特贡献在于,它使用交互式多媒体以及由专业医疗保健提供者和教育工作者设计的样本案例研究,来呈现关于正常和异常肺部声音的叙述。其界面由两个不同的组件组成:一个声音词汇表和一个丰富的多媒体界面,该界面呈现临床案例研究,并提供对放置在人体躯干模型上的肺部声音的访问。OMARC的内容可以通过添加由医疗保健教育工作者和专业人员设计的声音和案例研究来扩展。
为了验证OMARC并确定其在改善学习方面的效果以及了解用户对它的看法,我们对10名护理专业学生进行了一项试点研究。通过评估参与者在接触OMARC之前和之后识别几种正常和附加/异常声音的能力来衡量他们的表现。结果表明,参与者能够更好地识别不同的肺部声音,在预测试评估中的平均识别率为63%(标准差18.3%),在使用OMARC练习后平均识别率为90%(标准差11.5%)。此外,参与者在用户满意度调查问卷中表示,他们发现该应用程序很有帮助、易于使用,并且会向该领域的其他人推荐。
OMARC是一款用于培训医护专业学生进行呼吸系统疾病评估的在线多媒体应用程序。该软件整合了多媒体技术和医疗保健教育概念,以促进学习,同时实用且易于使用。一项试点研究的结果表明,OMARC显著有助于提高用户正确识别不同呼吸系统疾病肺部声音的能力。此外,参与者对OMARC的评价相当积极:用户很可能会向该领域的其他人推荐该应用程序,并发现该应用程序易于使用且有助于更好地识别肺部声音。