Med-Assess System for Evaluating and Enhancing Nursing Job Knowledge and Performance

Khobreh, Marjan; Ansari, Fazel; Dornhöfer, Mareike; Vas, Réka; Fathi, Madjid

doi:10.1007/978-3-319-11200-8_49

Cited by 5 publications

(6 citation statements)

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“…Some short papers did propose evaluation scenarios but then referred to future work for evaluation results, e.g. [34], [35], [36], [37]. Functional testing of prototypes, as performed e.g.…”

Section: Results Of Surveymentioning

confidence: 99%

Evaluating Recommender Systems for Technology Enhanced Learning: A Quantitative Survey

Erdt

Fernández

Rensing

2015

IEEE Trans. Learning Technol.

118

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The increasing number of publications on recommender systems for Technology Enhanced Learning (TEL) evidence a growing interest in their development and deployment. In order to support learning, recommender systems for TEL need to consider specific requirements, which differ from the requirements for recommender systems in other domains like e-commerce. Consequently, these particular requirements motivate the incorporation of specific goals and methods in the evaluation process for TEL recommender systems. In this article, the diverse evaluation methods that have been applied to evaluate TEL recommender systems are investigated. A total of 235 articles are selected from major conferences, workshops, journals and books where relevant work have been published between 2000 and 2014. These articles are quantitatively analysed and classified according to the following criteria: type of evaluation methodology, subject of evaluation, and effects measured by the evaluation. Results from the survey suggest that there is a growing awareness in the research community of the necessity for more elaborate evaluations. At the same time, there is still substantial potential for further improvements. This survey highlights trends and discusses strengths and shortcomings of the evaluation of TEL recommender systems thus far, thereby aiming to stimulate researchers to contemplate novel evaluation approaches.

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Section: Results Of Surveymentioning

confidence: 99%

Evaluating Recommender Systems for Technology Enhanced Learning: A Quantitative Survey

Erdt

Fernández

Rensing

2015

IEEE Trans. Learning Technol.

118

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show abstract

“…In the HR context different ontologies have been developed for representing the relation between job, employee and competence [2], [4], [6], [48], [50]; however there is little systematic effort at bridging VET outcomes to labor market needs [34], [37].…”

Section: Emerging Topics In Computingmentioning

confidence: 99%

“…The nursing tasks should be analyzed and later mapped to appropriate KSA. Developing a domain ontology for formalizing nursing knowledge was one of the objectives of the Med-Assess project [32], [34], [44] and expanding this ontology and adding the task domain to this core is the objective of its successor, the Pro-Nursing project. In the following, the conceptualization and formalization of knowledge and task domains are discussed.…”

Section: Use Case: Nursing Job-know Ontologymentioning

confidence: 99%

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An Ontology-Based Approach for the Semantic Representation of Job Knowledge

Khobreh

Ansari

Fathi

et al. 2016

IEEE Trans. Emerg. Topics Comput.

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The essential and significant components of one's job performance, such as facts, principles, and concepts are considered as job knowledge. This paper provides a framework for forging links between the knowledge, skills, and abilities taught in vocational education and training (VET) and competence prerequisites of jobs. Specifically, the study is aimed at creating an ontology for the semantic representation of that which is taught in the VET, that which is required on the job, and how the two are related. In particular, the creation of a job knowledge (Job-Know) ontology, which represents task and knowledge domains, and the relation between these two domains is discussed. Deploying the Job-Know ontology facilitates bridging job and knowledge elements collected from various sources (such as job descriptions), the identification of knowledge shortages and the determination of mismatches between the task and the knowledge domains that, in a broader perspective, facilitate the bridging requirements of labor market and education systems.

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“…In the "Notice on Conducting Evaluation of High Quality Nursing Care", the National Health and Family Planning Commission required hospitals at all levels in China to conduct a three-year (2014-2017) evaluation of the effect of high quality nursing care, including high quality nursing care conducted in outpatient (emergency) clinics and operating rooms [1], aiming to analyze the implementation effect of high quality nursing care through effective evaluation mechanism, constantly promote high quality nursing care, and improve the quality of clinical nursing care. Operating room nurses are the main body of high quality nursing care implementation, the implementation of their clinical nursing work directly affects and reflects the quality of specialized nursing care and the effect of perioperative treatment [2,3], and is an important indicator to effectively measure the quality of specialized high quality nursing.…”

Section: Introductionmentioning

confidence: 99%

Practice and Effect of Specialized High Quality Nursing Care in Operating Room

Lin¹,

Cai²,

Bai³

et al. 2019

CMR

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This study aimed to explore the practical effect and reasonable evaluation methods of specialized high quality nursing care in operating room. Stratified random sampling was used to select 93 nurses from the operating rooms of two affiliated hospitals of Kunming Medical University in Yunnan Province. A set of "Specialized High Quality Nursing Care Items in Operating Room" was implemented in the operating rooms of the two hospitals simultaneously. The "Task Performance and Contextual Performance Scale" was used to measure and collect data of nurses in operating room before and after the implementation of the items. After the "Specialized High Quality Nursing Care Items in Operating Room" was implemented, the task performance total score and dimension scores of patient care, nursing information provision and specialized nursing skills were (58., respectively, higher than the respective scores (36.20±1.79), (15.52±1.94), (7.33±1.11), (13.34±0.87) before the implementation, and the differences were statistically significant (t=−91.99 to −46.68, P<0.01). In conclusion, the "Specialized High Quality Nursing Care Items in Operating Room" is a series of nursing care that can improve task performance and contextual performance of nurses in operating room and promote the quality of high-quality nursing in operating room. The task performance and contextual performance can also comprehensively and effectively evaluate the implementation effect of specialized high quality nursing care in operating room.

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Med-Assess System for Evaluating and Enhancing Nursing Job Knowledge and Performance

Cited by 5 publications

References 1 publication

Evaluating Recommender Systems for Technology Enhanced Learning: A Quantitative Survey

Evaluating Recommender Systems for Technology Enhanced Learning: A Quantitative Survey

An Ontology-Based Approach for the Semantic Representation of Job Knowledge

Practice and Effect of Specialized High Quality Nursing Care in Operating Room

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