Synthesizing analytic evidence to refine care pathways.

Journal: Studies in health technology and informatics
Published Date:

Abstract

Care pathways play significant roles in delivering evidence-based and coordinated care to patients with specific conditions. In order to put care pathways into practice, clinical institutions always need to adapt them based on local care settings so that the best local practices can be incorporated and used to develop refined pathways. However, it is knowledge-intensive and error-prone to incorporate various analytic insights from local data sets. In order to assist care pathway developers in working effectively and efficiently, we propose to automatically synthesize the analytical evidences derived from multiple analysis methods, and recommend modelling operations accordingly to derive a refined care pathway for a specific patient cohort. We validated our method by adapting a Congestive Heart Failure (CHF) Ambulatory Care Pathway for patients with additional condition of COPD through synthesizing the results of variation analysis and frequent pattern mining against patient records.

Authors

  • Haifeng Liu
    IBM Research China, Beijing, China.
  • Xiang Li
    Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
  • Yiqin Yu
    IBM Research, Beijing, China.
  • Jing Mei
    Ping An Technology, Shenzhen, China.
  • Guotong Xie
    Ping An Health Technology, Beijing, China.
  • Adam Perer
    IBM T.J. Watson Research Center, Yorktown Heights, NY, United States.
  • Fei Wang
    Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY, United States.
  • Jianying Hu
    Center for Computational Health, IBM Research, Yorktown Heights, NY, USA.