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Study of E-business applications based on big data analysis in modern hospital health management

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Abstract

In the era of big data, aiming at the problem of health data acquisition and processing in modern hospital information management, this paper analyzes and realizes the auxiliary role of big data and e-business in modern hospital health management. Based on machine learning, this paper analyzes hospital health service systems and proposes a detailed management plan that changes the systems from fragmented hospital health management to comprehensive and omnidirectional hospital health management systems and from disordered market competition to comprehensive regionalization to help provide technical support for strengthening hospital health data management.

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References

  • Archer N, Wang S, Kang C (2008) Barriers to the adoption of online supply chain solutions in small and medium enterprises. Supply Chain Manage Int J 13(1):73–82

    Article  Google Scholar 

  • Choi J-K, Jeon K-H, Won Y (2015) Application of big data analysis with decision tree for the foot disorder. Cluster Comput J Netw Softw Tools Appl 18(4):1399–1404

    Google Scholar 

  • Chokoshvili O, Vepkhvadze N, Tsertsvadze T (2017) Assessment of the level of knowledge of medical personnel in diarrhea and hemolytic-uremic syndrome. Georgian Med News 273:128–1134

    Google Scholar 

  • Deng L, Tan Q, Jin T (2017) Hospital admission for acute pancreatitis in a Chinese population, 2011–2014: big data analytics of incidence and hospital expenses. Pancreas 46(10):1397–1397

    Google Scholar 

  • Garcia-Doval I, Nijsten T (2017) Big Data in small diseases: the case of necrotizing soft-tissue infections. Br J Dermatol 177(6):1468–1469

    Article  Google Scholar 

  • Hravnak M, Chen L, Dubrawski A (2016) Real alerts and artifact classification in archived multi-signal vital sign monitoring data: implications for mining big data. J Clin Monit Comput 30(6):875–888

    Article  Google Scholar 

  • Kache F, Seuring S (2017) Challenges and opportunities of digital information at the intersection of big data analytics and supply chain management. Int J Oper Product Manage 37(1):10–36

    Article  Google Scholar 

  • Kaur K, Rani R (2015) A smart polyglot solution for big data in healthcare. It Prof 17(6):48–55

    Article  Google Scholar 

  • Kortuem K, Kern C, Meyer G (2017) Required framework for the collection of real-life data: an example from university eye hospital Munich. Klin Monatsbl Augenheilkd 234(12):1477–1482

    Article  Google Scholar 

  • Loresto FL Jr, Welton J, Grim S (2019) Exploring inpatient medication patterns a big data and multilevel approach. J Nurs Adm 49(6):336–342

    Article  Google Scholar 

  • Plessis Du, Maira; Hage, Robert. (2017) Incidence and 5-Year survival rate for head and neck cancers in grenada compared to the African American population over the period 1991–2010. Cancer Causes Control 28(11):1227–1239

    Article  Google Scholar 

  • Robson B, Boray S (2018) Studies in the extensively automatic construction of large odds-based inference networks from structured data. examples from medical, bioinformatics, and health insurance claims data. Comput Biol Med 95:147–166

    Article  Google Scholar 

  • Roth JA, Battegay M, Juchler F (2018) Introduction to machine learning in digital healthcare epidemiology. Infect Control Hosp Epidemiol 39(12):1457–1462

    Article  Google Scholar 

  • Sruamsiri R, Ferchichi S, Jamotte A (2017) Impact of patient characteristics and treatment procedures on hospitalization cost and length of stay in Japanese patients with influenza: a structural equation modelling approach. Influenza Other Respir Viruses 11(6):543–555

    Article  Google Scholar 

  • Takayama K, Hirayama K, Hirao A (2017) Survival times with and without tube feeding in patients with dementia or psychiatric diseases in Japan. Psychogeriatrics 17(6):453–459

    Article  Google Scholar 

  • Vivekanandan T, Iyengar NCh, Narayana S (2017) Optimal feature selection using a modified differential evolution algorithm and its effectiveness for prediction of heart disease. Comput Biol Med 90:125–136

    Article  Google Scholar 

  • Wang F-T, Chang Y, Chien W-C (2016) Injury and medical expenditure in emergency department visits of older veterans. Geriatr Gerontol Int 16(12):1254–1262

    Article  Google Scholar 

  • Wu J, Tian X, Tan Y (2019) Hospital evaluation mechanism based on mobile health for IOT system in social networks. Comput Biol Med 109:138–147

    Article  Google Scholar 

Download references

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Authors and Affiliations

  1. Health Management Center, Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China

    Xiaohong Li, Yanling Zhang, Yujuan Li, Ke Yu & Yihua Du

Authors
  1. Xiaohong Li
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  2. Yanling Zhang
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  3. Yujuan Li
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  4. Ke Yu
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  5. Yihua Du
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Correspondence to Yihua Du.

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Li, X., Zhang, Y., Li, Y. et al. Study of E-business applications based on big data analysis in modern hospital health management. Inf Syst E-Bus Manage 19, 621–640 (2021). https://doi.org/10.1007/s10257-021-00520-9

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  • DOI: https://doi.org/10.1007/s10257-021-00520-9

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