Bridging Conversation Islands to Connect Healthcare: Introducing Unique Co-occurring Word Networks to Find Distinct Themes

Arnold, Timothy

doi:10.1177/2327857922111008

Cited by 2 publications

(1 citation statement)

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“…For example, using visualizations to view keywords, concordances, and word co-occurrence networks can help reviewers identify ambiguous word usage in need of clarification or translational representations for assisting in interpretation by readers. Furthermore, text from different policies can be examined for similarities and uniqueness using unique keyword extraction and unique co-occurring work network representations (Arnold, 2022).…”

Section: Policy Systems Studies and Analysesmentioning

confidence: 99%

Weaving viewpoints into healthcare policy

Arnold

Fuller²,

Wilson³

2023

Proceedings of the International Symposium on Human Factors and

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This paper describes a set of approaches for evaluating and designing healthcare policy content. These approaches draw from multiple viewpoints in human factors, systems thinking, safety science, and human-centered design (HCD). Six groupings of approaches drawing from different viewpoints are included that address philosophical underpinnings, policy networks and information systems, embedded references to available expertise, customizable modular elements, usability and HCD, and linguistic considerations. For each grouping, an example is provided along with lessons learned and limitations of each approach. Because these approaches emphasize different vantage points and flexibility in design, they can be useful for inquiring into a variety of policy design considerations. Viewing bodies of policy through these perspectives can help us to address questions about how they support healthcare work and how they may work as a system of policies together towards positive outcomes.

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Section: Policy Systems Studies and Analysesmentioning

confidence: 99%

Weaving viewpoints into healthcare policy

Arnold

Fuller²,

Wilson³

2023

Proceedings of the International Symposium on Human Factors and

Self Cite

View full text Add to dashboard Cite

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Intelligent auditing techniques for enterprise finance

Peng,

Tian

2023

Journal of Intelligent Systems

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With the need of social and economic development, the audit method is also continuously reformed and improved. Traditional audit methods have defects of comprehensively considering various risk factors, and cannot meet the needs of enterprise financial work. To improve the effectiveness of audit work and meet the financial needs of enterprises, a solution for intelligent auditing of enterprise finance is proposed, including intelligent analysis of accounting vouchers and of audit reports. Then, Bi-directional Long Short-Term Memory (BiLSTM) neural network is used to classify the audit problems under three text feature extraction methods. The test results show that the accuracy, recall rate, and F1 value of the COWORDS-IOM algorithm in the aggregate clustering of accounting vouchers are 85.12, 83.28, and 84.85%, respectively, which are better than the self-organizing map algorithm before the improvement. The accuracy rate, recall rate, and F1 value of Word2vec TF-IDF LDA-BiLSTM model for intelligent analysis of audit reports are 87.43, 87.88, and 87.66%, respectively. This shows that the proposed method has good performance in accounting voucher clustering and intelligent analysis of audit reports, which can provide guidance for the development of enterprise financial intelligence software to a certain extent.

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Bridging Conversation Islands to Connect Healthcare: Introducing Unique Co-occurring Word Networks to Find Distinct Themes

Cited by 2 publications

References 4 publications

Weaving viewpoints into healthcare policy

Weaving viewpoints into healthcare policy

Intelligent auditing techniques for enterprise finance

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