The application of big data and the development of nursing science: A discussion paper

Zhu, Ruifang; Han, Shi-Fan; Su, Yanbing; Zhang, Chichen; Yu, Qi; Duan, Zhiguang

doi:10.1016/j.ijnss.2019.03.001

Cited by 20 publications

(22 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Under the in uence of the modern digital media environment, visual art is based on the successful experience of di erent industries, using the most scienti c media technology and advanced creative methods to develop visual arts [1]. e fusion of modern digital media with visual art has resulted in new media technology, which may be considered the main reason for visual art innovation.…”

Section: Introductionmentioning

confidence: 99%

Visual Art Design of Digital Works Guided by Big Data

Cheng

2022

Mobile Information Systems

View full text Add to dashboard Cite

With the rapid development of digital technology, the development speed of digital media is also relatively fast. Digital media technology has a great impact on people’s lifestyles and aesthetic concepts, and it also has a greater impact on visual art, creative thinking communication methods, and expression methods. In this study, the quality enhancement of digital images has been intensively studied based on the guidance of big data of eye-movement gaze points. A large amount of visual data are collected from public social resources, and the optimization research of image sensory quality is carried out in-depth using the acquired big data. Next, the region of interest (ROI) is obtained by combining the data with a two-dimensional Gaussian distribution model-fitting method, and the obtained data clustered and improved based on the K-means clustering algorithm to obtain ROI fixation points. Finally, discontinuities in the choice of sharpness in graphics and video playback are pointed out, and the final fixation data analysis is utilized. Results show that targeted optimization is very effective in improving the quality of digital images and saving space, enabling users to enjoy higher-quality visual digital images. The proposed method can be used to improve the dynamic resolution of images and videos.

show abstract

Section: Introductionmentioning

confidence: 99%

Visual Art Design of Digital Works Guided by Big Data

Cheng

2022

Mobile Information Systems

View full text Add to dashboard Cite

show abstract

“…Extracting knowledge from big data and process mining has been examined and promoted in recent years to inform the execution of workflow processes, check conformance with guidelines, and find improvement opportunities in healthcare and nursing. [17][18][19][20][21] This study focused on an electronic nursing admission assessment form which is one of the most common forms for communicating nursing care in Australia. This is important particularly because more Australian hospitals are moving towards fully adopting eMR-based technologies to manage patient care processes and multidisciplinary communication.…”

Section: Introductionmentioning

confidence: 99%

Completion of electronic nursing documentation of inpatient admission assessment: insights from Australian metropolitan hospitals

Shala

Jones

Fairbrother

et al. 2021

Preprint

View full text Add to dashboard Cite

INTRODUCTION: Electronic nursing documentation is an essential aspect of inpatient care and multidisciplinary communication. Analysing data in electronic medical record (eMR) systems can assist in understanding clinical workflows, improving care quality, and promoting efficiency in the healthcare system. This study aims to assess timeliness of completion of an electronic nursing admission assessment form and identify patient and facility factors associated with form completion in three metropolitan hospitals. MATERIALS AND METHODS: Records of 37,512 adult inpatient admissions (November 2018-November 2019) were extracted from the hospitals eMR system. A dichotomous variable descriptive of completion of the nursing assessment form (Yes/No) was created. Timeliness of form completion was calculated as the interval between date and time of admission and form completion. Univariate and multivariate multilevel logistic regression were used to identify factors associated with form completion. RESULTS: An admission assessment form was completed for 78.4% (n=29,421) of inpatient admissions. Of those, 78% (n=22,953) were completed within the first 24 hours of admission, 13.3% (n=3,910) between 24-72 hours from admission, and 8.7% (n=2558) beyond 72 hours from admission. Patient length of hospital stay, admission time, and admitting units nursing hours per patient day were associated with form completion. Patient gender, age, and admitting unit type were not associated with form completion. DISCUSSION: Form completion rate was high, though more emphasis needs to be placed on the importance of timely completion to allow for adequate patient care planning. Staff education, qualitative understanding of delayed form completion, and streamlined guidelines on nursing admission and eMR use are recommended.

show abstract

“…A large number of research results have also emerged in the process of assisting in the transformation and upgrading of various industries (Chen et al, 2019 ). Zhu et al ( 2019 ) proved that combining big data and cloud computing could give new value to the data held by operators. Liu et al ( 2020 ) suggested that big data could bring new ideas to the operation and management of the hotel industry.…”

Section: Literature Reviewmentioning

confidence: 99%

Tourism Experience and Construction of Personalized Smart Tourism Program Under Tourist Psychology

Lan

Zeng

et al. 2021

Front. Psychol.

View full text Add to dashboard Cite

The present work aims to boost tourism development in China, grasp the psychology of tourists at any time, and provide personalized tourist services. The research object is the tourism industry in Macau. In particular, tourists' experiences are comprehensively analyzed in terms of dining, living, traveling, sightseeing, shopping, and entertaining as per their psychological changes using approaches including big data analysis, literature analysis, and field investigation. In this case, a model of tourism experience formation path is summarized, and a smart travel solution is proposed based on psychological experience. In the end, specific and feasible suggestions are put forward for the Macau tourism industry. Results demonstrate that the psychology-based smart travel solution exerts a significant impact on tourists' tourism experience. Specifically, the weight of secular tourism experience is 0.523, the weight of aesthetic tourism experience is 0.356, and the weight of stimulating tourism experience is 0.121. Tourists prefer travel destinations with excellent urban security and scenic authenticity. They give the two indexes comprehensive scores of 75.14 points and 73.12 points, respectively. The proposed smart travel solution can grasp the psychology of tourists and enhance their tourism experiences. It has strong practical and guiding significances, which can promote constructing smart travel services in Macau and enhancing tourism experiences.

show abstract

The application of big data and the development of nursing science: A discussion paper

Cited by 20 publications

References 16 publications

Visual Art Design of Digital Works Guided by Big Data

Visual Art Design of Digital Works Guided by Big Data

Completion of electronic nursing documentation of inpatient admission assessment: insights from Australian metropolitan hospitals

Tourism Experience and Construction of Personalized Smart Tourism Program Under Tourist Psychology

Contact Info

Product

Resources

About