Hospital Information Systems Success: A Study of the Model Adjusted DeLone and McLean in Thai University Hospital

2021 ◽  
Author(s):  
Alicha Muneesawang ◽  
Wasin Liampreecha
Keyword(s):  
Information Systems ◽  
Hospital Information Systems ◽  
University Hospital ◽  
Information Systems Success ◽  
Delone And Mclean ◽  
Thai University

scholarly journals A Systematic Review of the DeLone and McLean Model of Information Systems Success in an E-Learning Context (2010–2020)

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Hala Najwan Sabeh ◽  
Mohd Heikal Husin ◽  
Daisy Mui Hung Kee ◽  
Ahmad Suhaimi Baharudin ◽  
Rosni Abdullah
Keyword(s):  
Systematic Review ◽  
Information Systems ◽  
Learning Context ◽  
Information Systems Success ◽  
Delone And Mclean ◽  
E Learning

Integrating the Information Systems Success Model With Project Success Management Process

2021 ◽  
Vol 3 (2) ◽  
pp. 1-13
Author(s):  
Ali Varshosaz ◽  
João Varajão ◽  
Nilton Takagi
Keyword(s):  
Information Systems ◽  
Project Success ◽  
Position Paper ◽  
Management Process ◽  
Information Systems Success ◽  
Is Success ◽  
Actionable Knowledge ◽  
Delone And Mclean ◽  
Success Model ◽  
Information Systems Success Model

DeLone and McLean information systems success model has become a reference for explaining the success of information systems (IS). Attempts to apply and test the model have resulted in both confirmation and challenges. One of those challenges is how to translate the learnings from this model into actionable knowledge. This position paper proposes the integration of the information systems success model with the success management process as a way of getting synergies from both models and improving the study and practice of IS projects. Moreover, the authors present several examples of IS success measures to be used in practice.

An Extension to the Delone and Mclean Information Systems Success Model and Validation in the Internet Banking Context

2019 ◽  
pp. 61-75
Author(s):  
Veeraraghavan Jagannathan ◽  
Senthilarasu Balasubramanian ◽  
Thamaraiselvan Natarajan
Keyword(s):  
Information Systems ◽  
User Satisfaction ◽  
Information Quality ◽  
Internet Banking ◽  
Substantial Effect ◽  
Information Systems Success ◽  
Is Success ◽  
Delone And Mclean ◽  
Success Model ◽  
Key Factor

The modern internet era opened a plethora of opportunities for doing business online. Internet banking (IB) is one such innovation that made great strides from its humble beginnings in the mid-1990s. It is important for bank practitioners to know the factors contributing to the success of new technology by customers to enable them to be better placed in the competitive segment. This study proposes an extension to the Delone and Mclean IS success model to evaluate information systems(IS) success in the context of internet banking, with security as a new dimension. Data was collected from 312 respondents. The results found that security is a key factor for IB success. Furthermore, the study found that the dimension system quality has not had any substantial effect on IB user satisfaction; however, security and information quality were found to influence user satisfaction. Based on the findings, some implications for research and practice were prescribed, in addition to directions for future researchers of IS success in the IB context.

A Three-Level Graph-Based Model for the Management of Hospital Information Systems

1995 ◽  
Vol 34 (04) ◽  
pp. 378-396 ◽  
Author(s):  
A. Winter ◽  
R. Haux
Keyword(s):  
Information System ◽  
Information Processing ◽  
Information Systems ◽  
Hospital Information System ◽  
Low Cost ◽  
Hospital Information Systems ◽  
University Hospital ◽  
University Hospitals ◽  
Application Systems ◽  
Graph Based Model

Abstract:Information processing in hospitals, especially in university hospitals, is currently faced with two major issues: low-cost hardware and progress in networking technology leads to a further decentralization of computing capacity, due to the increasing need for information processing in hospitals and due to economic restrictions, it is necessary to use, commercial software products. This leads to heterogeneous hospital information systems using a variety of software and hardware products, and to a stronger demand for integrating these products and, in general, for a dedicated methodology for the management of hospital information systems to support patient care and medical research. We present a three-level graph-based model (3LGM) to support the systematic management of hospital information systems. 3LGM can serve as a basis for assessing the quality of information processing in hospitals. 3LGM distinguishes between a procedural level for describing the information procedures (and their information interchange) of a hospital information system and thus its functionality, a logical tool level, focusing on application systems and communication links, and a physical tool level with physical subsystems (e.g., computer systems) and data transmission. The examples that are presented have been taken from the Heidelberg University Hospital Information System.

scholarly journals Implementasi AJAX pada Peta Wisata “esbatu” Sistem Informasi Jejaring Wisata Kota Batu

2017 ◽  
Vol 3 (1) ◽  
pp. 27-34
Author(s):  
Agung Panji Sasmito ◽  
Hani Zulfia Zahro' ◽  
Hani Zulfia Zahro' ◽  
Rofila El Maghfiroh ◽  
Rofila El Maghfiroh
Keyword(s):  
Information Systems ◽  
Information Systems Success ◽  
Delone And Mclean ◽  
Waterfall Model

Minimnya informasi terkait kepariwisataan di Kota Batu yang bisa diakses online dan terintegrasi membuat potensi pariwisata di Batu kurang begitu dikenal oleh wisatawan domestik maupun mancanegara. Sejauh ini informasi wisata di Kota Batu baru sebatas media cetak dan media elektronik, dan belum ada penyebaran informasi melalui internet seperti peta wisata yang dapat diakses secara online. Tujuan penelitian adalah mengembangkan peta wisata berbasis AJAX pada “esbatu” sistem informasi jejaring wisata Kota Batu. Rancangan penelitian adalah penelitian pengembangan yang dilakukan pada Dinas Pariwisata dan Kebudayaan Kota Batu. Pengembangan dilaksanakan dengan menggunakan waterfall model dengan pengujian BlackBox testing. Validitas peta wisata diukur dengan menggunakan DeLone and McLean Model of Information Systems Success. Hasil pengujian dengan BlackBox testing menunjukkan bahwa secara fungsionalitas semua fitur pada peta wisata berjalan lancar. Hasil validasi kepada ahli sistem informasi, ahli pariwisata Kota Batu, dan beberapa calon pengguna peta wisata pada sistem informasi “esbatu” menunjukkan bahwa peta wisata sangat valid dari segi sistem informasi dan informasi pariwisata sehingga layak digunakan tanpa revisi.

scholarly journals Modified Bidirectional Encoder Representations From Transformers Extractive Summarization Model for Hospital Information Systems Based on Character-Level Tokens (AlphaBERT): Development and Performance Evaluation

10.2196/17787 ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. e17787 ◽  
Author(s):  
Yen-Pin Chen ◽  
Yi-Ying Chen ◽  
Jr-Jiun Lin ◽  
Chien-Hua Huang ◽  
Feipei Lai
Keyword(s):  
Deep Learning ◽  
Information Systems ◽  
Characteristic Curve ◽  
Hospital Information Systems ◽  
University Hospital ◽  
Free Text ◽  
Sufficient Information ◽  
Extractive Summarization ◽  
Significant Difference ◽  
Model Size

Background Doctors must care for many patients simultaneously, and it is time-consuming to find and examine all patients’ medical histories. Discharge diagnoses provide hospital staff with sufficient information to enable handling multiple patients; however, the excessive amount of words in the diagnostic sentences poses problems. Deep learning may be an effective solution to overcome this problem, but the use of such a heavy model may also add another obstacle to systems with limited computing resources. Objective We aimed to build a diagnoses-extractive summarization model for hospital information systems and provide a service that can be operated even with limited computing resources. Methods We used a Bidirectional Encoder Representations from Transformers (BERT)-based structure with a two-stage training method based on 258,050 discharge diagnoses obtained from the National Taiwan University Hospital Integrated Medical Database, and the highlighted extractive summaries written by experienced doctors were labeled. The model size was reduced using a character-level token, the number of parameters was decreased from 108,523,714 to 963,496, and the model was pretrained using random mask characters in the discharge diagnoses and International Statistical Classification of Diseases and Related Health Problems sets. We then fine-tuned the model using summary labels and cleaned up the prediction results by averaging all probabilities for entire words to prevent character level–induced fragment words. Model performance was evaluated against existing models BERT, BioBERT, and Long Short-Term Memory (LSTM) using the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) L score, and a questionnaire website was built to collect feedback from more doctors for each summary proposal. Results The area under the receiver operating characteristic curve values of the summary proposals were 0.928, 0.941, 0.899, and 0.947 for BERT, BioBERT, LSTM, and the proposed model (AlphaBERT), respectively. The ROUGE-L scores were 0.697, 0.711, 0.648, and 0.693 for BERT, BioBERT, LSTM, and AlphaBERT, respectively. The mean (SD) critique scores from doctors were 2.232 (0.832), 2.134 (0.877), 2.207 (0.844), 1.927 (0.910), and 2.126 (0.874) for reference-by-doctor labels, BERT, BioBERT, LSTM, and AlphaBERT, respectively. Based on the paired t test, there was a statistically significant difference in LSTM compared to the reference (P<.001), BERT (P=.001), BioBERT (P<.001), and AlphaBERT (P=.002), but not in the other models. Conclusions Use of character-level tokens in a BERT model can greatly decrease the model size without significantly reducing performance for diagnoses summarization. A well-developed deep-learning model will enhance doctors’ abilities to manage patients and promote medical studies by providing the capability to use extensive unstructured free-text notes.

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