Prescribing 10,000 steps like aspirin: Designing a novel interface for data-driven medical consultation

Yoojung Kim, Eunyoung Heo, Hyunjeong Lee, Sookyoung Ji, Jueun Choi, Jeong Whun Kim, Joongseek Lee, Sooyoung Yoo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

Abstract

Due to the prevalence of personal health tracking, cases of self-logged data being utilized in the clinic are gradually increasing. However, obstacles to clinicians' ability to further adopt such data-driven medical consultations in the existing workflow remain, such as lack of time and poor interoperability. In this paper, we conducted a workshop to design a clinician interface supporting the integration of data-driven consultation into the existing workflow and investigate the role of the interface in situ. After implementing the clinician interface designed based on the workshop results, we observed 32 cases of actual use within the clinical context. We found that our interface, DataMD, helped the clinician construct a new workflow, enhanced the clinician's counseling skills, and facilitated more in-depth conversation. This paper contributes to empirically identifying the role of a clinician interface through a user-centered design approach.

Original languageEnglish
Title of host publicationCHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems
Subtitle of host publicationExplore, Innovate, Inspire
PublisherAssociation for Computing Machinery
Pages5787-5799
Number of pages13
ISBN (Electronic)9781450346559
DOIs
StatePublished - 2 May 2017
Event2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2017 - Denver, United States
Duration: 6 May 201711 May 2017

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
Volume2017-May

Other

Other2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2017
CountryUnited States
CityDenver
Period6/05/1711/05/17

Fingerprint

Interoperability
Health
User centered design

Keywords

  • Clinician interface
  • Data-driven medical consultation
  • Design workshop
  • Patient-generated data
  • Self-logged data

Cite this

Kim, Y., Heo, E., Lee, H., Ji, S., Choi, J., Kim, J. W., ... Yoo, S. (2017). Prescribing 10,000 steps like aspirin: Designing a novel interface for data-driven medical consultation. In CHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire (pp. 5787-5799). (Conference on Human Factors in Computing Systems - Proceedings; Vol. 2017-May). Association for Computing Machinery. https://doi.org/10.1145/3025453.3025570
Kim, Yoojung ; Heo, Eunyoung ; Lee, Hyunjeong ; Ji, Sookyoung ; Choi, Jueun ; Kim, Jeong Whun ; Lee, Joongseek ; Yoo, Sooyoung. / Prescribing 10,000 steps like aspirin : Designing a novel interface for data-driven medical consultation. CHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. Association for Computing Machinery, 2017. pp. 5787-5799 (Conference on Human Factors in Computing Systems - Proceedings).
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Kim, Y, Heo, E, Lee, H, Ji, S, Choi, J, Kim, JW, Lee, J & Yoo, S 2017, Prescribing 10,000 steps like aspirin: Designing a novel interface for data-driven medical consultation. in CHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. Conference on Human Factors in Computing Systems - Proceedings, vol. 2017-May, Association for Computing Machinery, pp. 5787-5799, 2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2017, Denver, United States, 6/05/17. https://doi.org/10.1145/3025453.3025570

Prescribing 10,000 steps like aspirin : Designing a novel interface for data-driven medical consultation. / Kim, Yoojung; Heo, Eunyoung; Lee, Hyunjeong; Ji, Sookyoung; Choi, Jueun; Kim, Jeong Whun; Lee, Joongseek; Yoo, Sooyoung.

CHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. Association for Computing Machinery, 2017. p. 5787-5799 (Conference on Human Factors in Computing Systems - Proceedings; Vol. 2017-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Due to the prevalence of personal health tracking, cases of self-logged data being utilized in the clinic are gradually increasing. However, obstacles to clinicians' ability to further adopt such data-driven medical consultations in the existing workflow remain, such as lack of time and poor interoperability. In this paper, we conducted a workshop to design a clinician interface supporting the integration of data-driven consultation into the existing workflow and investigate the role of the interface in situ. After implementing the clinician interface designed based on the workshop results, we observed 32 cases of actual use within the clinical context. We found that our interface, DataMD, helped the clinician construct a new workflow, enhanced the clinician's counseling skills, and facilitated more in-depth conversation. This paper contributes to empirically identifying the role of a clinician interface through a user-centered design approach.

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Kim Y, Heo E, Lee H, Ji S, Choi J, Kim JW et al. Prescribing 10,000 steps like aspirin: Designing a novel interface for data-driven medical consultation. In CHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. Association for Computing Machinery. 2017. p. 5787-5799. (Conference on Human Factors in Computing Systems - Proceedings). https://doi.org/10.1145/3025453.3025570