• DocumentCode
    3714497
  • Title

    Risk prediction for future 6-month healthcare resource utilization in Maine

  • Author

    Shiying Hao;Karl G. Sylvester;Xuefeng B. Ling; Andrew Young Shin; Zhongkai Hu; Bo Jin; Chunqing Zhu; Dorothy Dai;Frank Stearns;Eric Widen;Devore S. Culver;Shaun T. Alfreds;Todd Rogow

  • Author_Institution
    Departments of Surgery, Stanford University, CA, USA
  • fYear
    2015
  • Firstpage
    863
  • Lastpage
    866
  • Abstract
    Understanding the future costs of the healthcare service utilization in patients can benefit the resource allocation management. The aim of this study is to develop a risk stratification model for healthcare resource utilization in future 6 months of patients in the state of Maine. A retrospective cohort of 1,273,114 patients was constructed to derive a decision-tree-based model to estimate the risk of resource utilization between January 1, 2013 and June 30, 2013, using the preceding 12-month clinical historical data. The model was validated with a prospective cohort of 1,358,153 patients by testing total costs between July 1, 2013 and December 31, 2013. Prospective results showed that the sensitivities of the model varied between 0.057 and 0.800, with confidence levels varying between 0.858 and 0.937 at all risk levels. Potential economic impacts of the model on healthcare resource utilization were explored. Future applications of our model will enable a more efficient resource allocation and targeted care intervention.
  • Keywords
    "Analytical models","Biochemistry"
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/BIBM.2015.7359798
  • Filename
    7359798