Implementation of Hospital Examination Reservation System Using Data Mining Technique

Soung, Hyo; Yoon, Tae Sik; Ryu, Ki Chung; Shin, Il Won; Choe, Yang Hyo; Lee, Kyoung Yong; Lee, Jae Dong; Ryu, Keun Ho; Chung, Seung Hyun

doi:10.4258/hir.2015.21.2.95

Cited by 4 publications

(5 citation statements)

References 8 publications

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“…As a result, practically every medical institution tries to identify ways to manage both inpatient and outpatient service processes. User‐friendly reservation system and user‐friendly healthcare website are also seen to be vital to achieve maximum patient satisfaction 68 …”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Healthcare performance management using integrated FUCOM‐MARCOS approach: The case of India

Abdullah

Ahmad

Athar

et al. 2022

Health Planning & Management

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Aims: The goal of this research is to propose a simpler and more efficient model for evaluating healthcare establishments (HCEs). With this motivation, this study aims to discover key performance indicators (KPIs) that affect HCE performance, present a ranking model for KPIs in Indian HCEs, and evaluate Indian HCEs using the identified and prioritised KPIs.Material and Methods: Through extensive literature review and expert opinions, this research identifies the various KPIs in HCEs, classifies them into six main categories, and prioritises them using the full consistency method (FUCOM).Further, well-known HCEs across northern India were evaluated and ranked using Measurement Alternatives and Ranking according to Compromise Solution.Results: The 'technology adoption related indicators' is found as the most important main KPIs, whereas 'adequate number of hospital beds and bathrooms (IE5)' as the most dominating sub-category KPIs. Also, amongst the 20 evaluated Indian HCEs 'healthcare establishment-1 (HCE1)' was found to be the best performing HCE while 'healthcare establishment-12 (HCE12)' was found to be the worst-performing HCE. The stability and consistency of the results are ascertained by performing sensitivity analysis and comparing the results with other existing methodologies.

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Section: Literature Reviewmentioning

confidence: 99%

“…68 2.2.5 | Supply chain related indicatorsA steady and strong supply chain is the heart of the healthcare industry. It keeps the important industry healthy by ensuring that medical supplies, medical equipment and medication reach retailers and patients on time.…”

mentioning

confidence: 99%

Healthcare performance management using integrated FUCOM‐MARCOS approach: The case of India

Abdullah

Ahmad

Athar

et al. 2022

Health Planning & Management

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“…Data mining was defined in the "First section of the 1995 International Conference on Knowledge Discovery and Data Mining," which has been widely used in disease auxiliary diagnosis, drug development, hospital information system, and genetic medicine to facilitate the medical knowledge discovery [9][10][11][12]. Data mining used to process medical text data can be divided into four steps: data collection, data processing, data analysis, and data evaluation and interpretation.…”

Section: Medical Text Data Miningmentioning

confidence: 99%

Different Data Mining Approaches Based Medical Text Data

Xiao

Jing

et al. 2021

Journal of Healthcare Engineering

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The amount of medical text data is increasing dramatically. Medical text data record the progress of medicine and imply a large amount of medical knowledge. As a natural language, they are characterized by semistructured, high-dimensional, high data volume semantics and cannot participate in arithmetic operations. Therefore, how to extract useful knowledge or information from the total available data is very important task. Using various techniques of data mining can extract valuable knowledge or information from data. In the current study, we reviewed different approaches to apply for medical text data mining. The advantages and shortcomings for each technique compared to different processes of medical text data were analyzed. We also explored the applications of algorithms for providing insights to the users and enabling them to use the resources for the specific challenges in medical text data. Further, the main challenges in medical text data mining were discussed. Findings of this paper are benefit for helping the researchers to choose the reasonable techniques for mining medical text data and presenting the main challenges to them in medical text data mining.

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“…In recent years, China’s social informatization had shown a trend of rapid development, and safer, more effective and more intelligent Hospital Information System(HIS) had become the key targets of the construction of smart hospitals, which aimed to improve patient satisfaction and provide high-quality services [ 1 ]. There was growing evidence that increased patient safety, improved clinical effectiveness, and higher hospital reputation were associated with higher patient satisfaction [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

“…HERS recommended the most effective examination sequence and time to patients through the data mining technique, and it could be used to check in, modify the appointment examination time and print the examination report. Relevant studies had shown that HERS will significantly reduce the waiting time [ 1 , 8 ], and it is effective to improve patients’ medical satisfaction.…”

Section: Introductionmentioning

confidence: 99%

Driving the implementation of hospital examination reservation system through hospital management

Wang,

Ma,

Mao

et al. 2024

BMC Health Serv Res

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Background Hospital Examination Reservation System (HERS) was designed for reducing appointment examination waiting time and enhancing patients’ medical satisfaction in China, but implementing HERS would encounter many difficulties. This study would investigate the factors that influence patients’ utilization of HERS through UTAUT2, and provide valuable insights for hospital managements to drive the effective implementation of HERS. It is helpful for improving patients’ medical satisfaction. Methods We conducted a survey through the Sojump platform, targeting patients were who have already used HERS. We collected questionnaire information related to factors behavior intention, performance expectancy, and effort expectancy. Subsequently, we employed a structural equation model to analyze the factors influencing patients’ utilization of HERS. Results A total of 394 valid questionnaires were collected. Habit was the main direct positive factor influencing the behavioral intention of HERS (β = 0.593; 95%CI: 0.072, 1.944; P = 0.002), followed by patient innovation (β = 0.269; 95%CI: 0.002, 0.443; P < 0.001), effort expectancy (β = 0.239; 95%CI: -0.022, 0.478; P = 0.048). Patient innovation and facilitating conditions also have an indirect effect on behavioral intention. Perceived privacy exposure has a significantly negative effect on behavioral intention (β=-0.138; 95%CI: -0.225, -0.047; P < 0.001). The above variables explained 56.7% of the variation in behavioral intention. Conclusions When HERS is implemented in hospitals, managements should arrange volunteers to guide patients to bring up the habit and solve the using difficulties, and managements could invite patients with high innovation to recommend HERS to others, what’s more, it is a valid way to retain the old form of appointment to pass the transition period to the new system. HERS utilization and patients’ medical satisfaction will be enhanced through the guidance of hospital management means.

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Implementation of Hospital Examination Reservation System Using Data Mining Technique

Cited by 4 publications

References 8 publications

Healthcare performance management using integrated FUCOM‐MARCOS approach: The case of India

Healthcare performance management using integrated FUCOM‐MARCOS approach: The case of India

Different Data Mining Approaches Based Medical Text Data

Driving the implementation of hospital examination reservation system through hospital management

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