Conference paper
Bridging Communities for Better HIT: Streaming Conversations from WISH on Challenges, Strategies, and Opportunities
Proceedings of the 2017 CHI Conference Extended Abstracts on human factors in computing systems, v 127655, pp 1346-1349
06 May 2017
Abstract
Health Information Technology (HIT) has enormous potential to transform healthcare, and optimal design and implementation of HIT has to incorporate diverse fields' perspectives, including medicine, engineering, design, anthropology, and other related disciplinary areas. WISH workshop at CHI 2017 is designed to bring together researchers and practitioners for shared conversations and nurture a common community of practice. This SIG will further facilitate open, cross-disciplinary conversations with diverse CHI participants about the future of WISH, disclosing the closed conversations among steering committee members and organizers of WISH to the CHI audience for additional input. We will discuss methods, study designs, and dissemination within and across communities. We will discuss issues around challenges of designing, implementing, and evaluating interactive health technologies. This SIG will explore opportunities in growing a nurturing community and developing a research agenda that will drive future innovations in healthcare.
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Details
- Title
- Bridging Communities for Better HIT
- Creators
- Jing Zhang - University of California San DiegoGabriela Marcu - Drexel UniversityJulie Kientz - University of WashingtonLaura Pina - University of WashingtonSiddhant Ambulkar - University of California San DiegoLena Mamykina - Columbia UniversityJina Huh - University of California San Diego
- Publication Details
- Proceedings of the 2017 CHI Conference Extended Abstracts on human factors in computing systems, v 127655, pp 1346-1349
- Conference
- CHI EA '17 : 2017 CHI Conference on human factors in computing systems (Denver, Colorado, United States, 06 May 2017–11 May 2017)
- Publisher
- Association for Computing Machinery (ACM)
- Number of pages
- 4
- Resource Type
- Conference paper
- Language
- English
- Academic Unit
- Information Science
- Scopus ID
- 2-s2.0-85019579001
- Other Identifier
- 991019173709004721