Smart and Connected Health Projects: Characteristics and Research Challenges

  • Jiangping ChenEmail author
  • Minghong Chen
  • Jingye Qu
  • Haihua Chen
  • Juncheng Ding
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10983)


The Smart and Connected Health (SCH) program at the National Science Foundation (NSF) has been established as a stand-alone solicitation since 2012. This article reviews and analyzes the 100 projects that have been funded since 2012 to understand their characteristics and the research challenges they have addressed in SCH. Descriptive analysis, topic analysis based on Latent Dirichlet Allocation (LDA), and comparative content analysis were performed. Our study indicated that NSF SCH projects, featured with collaborative and multidisciplinary research endeavor, have been exploring more than 36 diseases or health problems, and five major research challenges including electronic health record (HER) data processing, system design or computational model building, personalized or patient-centered medicine, training and education, and privacy preserving. Much more research projects are needed to investigate algorithms, devices, and impacts of smart health on diseases and communities.


Smart and connected health NSF projects Text analysis Data analysis 


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Department of Information ScienceUniversity of North TexasDentonUSA
  2. 2.School of Information ManagementSun Yat-sen UniversityGuangzhouChina
  3. 3.School of Information Technology and MediaBeihua UniversityJilinChina
  4. 4.Department of Computer ScienceUniversity of North TexasDentonUSA

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