Welcome to Francis Academic Press

The Frontiers of Society, Science and Technology, 2024, 6(2); doi: 10.25236/FSST.2024.060201.

Research spot analysis of hospital efficiency evaluation based on CiteSpace

Author(s)

Jie Yuan, Yimeng Ge, Yuting Liu

Corresponding Author:
Yuting Liu
Affiliation(s)

School of Management, Hunan University of Technology and Business, No. 569 Yuelu Avenue, Changsha, China

Abstract

To understand the research hotspot and research evolution trend in the field of hospital efficiency evaluation, and to provide a reference basis for the subsequent research. CiteSpace software was used to visually analyse the Web of Science core collection related literature of hospital efficiency evaluation from January 1, 2010 to December 12,2023. It is found that the top three keywords are data envelopment analysis, technical efficiency, and efficiency, and the first three clusters are data envelopment analysis, healthcare system and costs; The highest intensity of the hot words is impact, Followed by the term "hospitals", The lowest intensity is performance evaluation.

Keywords

CiteSpace; hospital efficiency evaluation; research hotspot; visual analysis; knowledge map

Cite This Paper

Jie Yuan, Yimeng Ge, Yuting Liu. Research spot analysis of hospital efficiency evaluation based on CiteSpace. The Frontiers of Society, Science and Technology (2024), Vol. 6, Issue 2: 1-7. https://doi.org/10.25236/FSST.2024.060201.

References

[1] Zhang Yuchen, Dai Yan, Song Yinghan. Analysis of day surgery visualization based on Web of Science [J]. Health Quality Management in China, 2021,28 (04): 22-24 + 28.

[2] Li Yuheng, Huang Huiqian, Wang Shengye. Hotspots and trends in rural resilience research: Knowledge graph analysis based on CiteSpace [J]. Geographical Sciences, 2023,43 (09): 1568-1575.

[3] Zhu Meihai, Shi Shu. Research hotspot and frontier analysis of China's rural industry revitalization based on CiteSpace [J]. Southern Agricultural Machinery, 2023,54 (24): 91-95 + 100.

[4] He Qi, Ai Wei, Pan Ningli. Innovation diffusion in the context of digital transformation: theoretical evolution, research hotspot, innovative method research —— Based on the perspective of knowledge graph [J]. Science and Science and Technology Management, 2022,43 (06): 17-50.

[5] Fan Linjie, Li Ruifeng, Zhang Xinyu, etc. Evaluation of the efficiency of health resource allocation in Chinese TCM hospitals during the 13th Five-Year Plan period based on DEA method [J]. Hospital Management in China, 2022,42 (10): 39-43.

[6] Ersoy Y, Aktaş A. Health System Efficiency of OECD Countries with Data Envelopment Analysis[J]. Problemy Zarzadzania, 2022, 20(4).

[7] Hu, H-H; Qi Q ,Yang, C-H.(2012).Evaluation of China's regional hospital efficiency: DEA approach with undesirable output Journal of the Operational Research Society ,63, 715–725.

[8] Čabinová V, Onuferová E, Jurová N, et al. Efficiency evaluation of the medical SPA sector in Slovakia: An application of DEA method[J]. Calitatea, 2020, 21(178): 7-14.

[9] Mirmozaffari M, Alinezhad A. Ranking of Heart Hospitals Using cross-efficiency and two-stage DEA[C]//2017 7th International Conference on Computer and Knowledge Engineering (ICCKE). IEEE, 2017: 217-222.

[10] Singh S, Charles V, Pandey U. Examining operational efficiency with prudent risks of Covid-19: a contextual DEA analysis with an undesirable intermediate measure[J]. Annals of Operations Research, 2023: 1-31.

[11] Heil T C, Melis R J F, Maas H A A M, et al. Technical efficiency evaluation of colorectal cancer care for older patients in Dutch hospitals[J]. Plos one, 2021, 16(12): e0260870.

[12] Su W, Du L, Fan Y, et al. Equity and efficiency of public hospitals’ health resource allocation in Guangdong Province, China[J]. International journal for equity in health, 2022, 21(1): 1-18.

[13] Lu W, Evans R D, Zhang T, et al. Evaluation of resource utilization efficiency in obstetrics and gynecology units in China: A three‐stage data envelopment analysis of the Shanxi province[J]. The International Journal of Health Planning and Management, 2020, 35(1): 309-317.

[14] Feng Q Q, Ao Y B, Chen S Z, et al. Evaluation of the allocation efficiency of medical and health resources in China's rural three-tier healthcare system[J]. Public Health, 2023, 218: 39-44.

[15] Zheng W, Sun H, Zhang P, et al. A four-stage DEA-based efficiency evaluation of public hospitals in China after the implementation of new medical reforms[J]. PloS one, 2018, 13(10): e0203780.

[16] Hsiao B, Chen L H. Performance evaluation for Taiwanese hospitals by multi-activity network data envelopment analysis[J]. International Journal of Information Technology & Decision Making, 2019, 18(03): 1009-1043.

[17] Kawaguchi H, Tone K, Tsutsui M. Estimation of the efficiency of Japanese hospitals using a dynamic and network data envelopment analysis model[J]. Health care management science, 2014, 17: 101-112.

[18] Gerami J, Kiani Mavi R, Farzipoor Saen R, et al. A novel network DEA-R model for evaluating hospital services supply chain performance[J]. Annals of Operations Research, 2020: 1-26.

[19] Li Y, Zhao Y, Niu X, et al. The efficiency evaluation of municipal-level traditional Chinese medicine hospitals using data envelopment analysis after the implementation of hierarchical medical treatment policy in Gansu Province, China[J]. INQUIRY: The Journal of Health Care Organization, Provision, and Financing, 2022, 59: 00469580221095799.

[20] Küçük A, Özsoy V S, Balkan D. Assessment of technical efficiency of public hospitals in Turkey[J]. European Journal of Public Health, 2020, 30(2): 230-235.

[21] Vrabková I, Vaňková I. Efficiency of human resources in public hospitals: An example from the Czech Republic[J]. International journal of environmental research and public health, 2021, 18(9): 4711.

[22] Wu F, Liu X, Wang Y, et al. Research on evaluation model of hospital informatization level based on decision tree algorithm[J]. Security and Communication Networks, 2022, 2022: 1-9.

[23] Jahantigh F F, Ostovare M. Application of a hybrid method for performance evaluation of teaching hospitals in Tehran[J]. Quality Management in Healthcare, 2020, 29(4): 210-217.

[24] Abdel-Basset M, Gamal A, Mohamed R, et al. Efficient Model for Emergency Departments: Real Case Study[J]. Computers, Materials & Continua, 2022, 70(2).

[25] Sun M, Ye Y, Zhang G, et al. Measuring the efficiency of public hospitals: A multistage data envelopment analysis in Fujian Province, China[J]. Frontiers in Public Health, 2023, 11: 1091811.

[26] Sultan W I M, Crispim J. Are public hospitals reforming efficiently in West Bank?[J]. Conflict and Health, 2018, 12(1): 1-14.

[27] Moskovitz J B, Tan T, Dilip M, et al. The impact and efficiency of medical screening exams in forward treatment areas at New York City public hospitals during the initial COVID‐19 surge[J]. Journal of the American College of Emergency Physicians Open, 2021, 2(6): e12598.

[28] Liu X, Jia C, Cheng J, et al. Measuring Productivity and Relative Efficiency of Public Tertiary Traditional Chinese Medicine Hospitals in Hubei, China[J]. INQUIRY: The Journal of Health Care Organization, Provision, and Financing, 2023, 60: 00469580231190576.

[29] Vaňková I, Vrabková I. Productivity analysis of regional-level hospital care in the Czech republic and Slovak Republic[J]. BMC health services research, 2022, 22(1): 1-14.

[30] Berk E, Çerçioğlu H. The productive efficiency of the Turkish health care sector based on provincial panel data[J]. Journal of the Faculty of Engineering and Architecture of Gazi University, 2019, 34(2).