8th International Conference on Pervasive Computing Technologies for Healthcare

Research Article

RapidRead: Step-At-A-Glance Crisis Checklists

  • @INPROCEEDINGS{10.4108/icst.pervasivehealth.2014.254954,
        author={Jesse Cirimele and Leslie Wu and Kristen Leach and Stuart Card and T Kyle Harrison and Larry Chu and Scott Klemmer},
        title={RapidRead: Step-At-A-Glance Crisis Checklists},
        proceedings={8th International Conference on Pervasive Computing Technologies for Healthcare},
        publisher={ICST},
        proceedings_a={PERVASIVEHEALTH},
        year={2014},
        month={7},
        keywords={checklists medicine procedure aids cognitive aids},
        doi={10.4108/icst.pervasivehealth.2014.254954}
    }
    
  • Jesse Cirimele
    Leslie Wu
    Kristen Leach
    Stuart Card
    T Kyle Harrison
    Larry Chu
    Scott Klemmer
    Year: 2014
    RapidRead: Step-At-A-Glance Crisis Checklists
    PERVASIVEHEALTH
    ACM
    DOI: 10.4108/icst.pervasivehealth.2014.254954
Jesse Cirimele,*, Leslie Wu1, Kristen Leach1, Stuart Card1, T Kyle Harrison1, Larry Chu1, Scott Klemmer2
  • 1: Stanford University
  • 2: UC San Diego
*Contact email: cirimele@stanford.edu

Abstract

Complex, perilous domains like surgery and aviation require accurate responses under extreme time constraints. Checklists improve important outcomes in these domains. However, current designs are based largely on intuition; there is little theory or empirical work about designing effective procedure aids. Furthermore, discretionary checklist use is fragmented and bursty rather than predictable and continuous. Working with doctors and studying successful aids, we developed the RapidRead design approach. It distills three patterns for designing rapidly readable aids: Dynamic Focus, Object-Action, and Information Patches. Two experiments compared medical professionals’ search time, eye-gaze, and retention with alternative checklist designs. Applying RapidRead patterns resulted in significantly faster aid usage, reducing answer time and importantly minimizing the frequency of slow responses to medical queries.