Research Article
Data Dialog: Facilitating Collaborative Decision Making through Data-Driven Conversations
@INPROCEEDINGS{10.1145/3154862.3154921, author={Hariharan Subramonyam and Bongshin Lee and Sile O’Modhrain and Eytan Adar}, title={Data Dialog: Facilitating Collaborative Decision Making through Data-Driven Conversations}, proceedings={11th EAI International Conference on Pervasive Computing Technologies for Healthcare}, publisher={ACM}, proceedings_a={PERVASIVEHEALTH}, year={2018}, month={1}, keywords={participatory data analysis visualization collaborative decision making data-driven conversation}, doi={10.1145/3154862.3154921} }- Hariharan Subramonyam
Bongshin Lee
Sile O’Modhrain
Eytan Adar
Year: 2018
Data Dialog: Facilitating Collaborative Decision Making through Data-Driven Conversations
PERVASIVEHEALTH
ACM
DOI: 10.1145/3154862.3154921
Abstract
Shared decision-making is a process that requires active participation from the patient in making treatment related decisions [5]. Through this process, both patients and clinicians develop a shared understanding about the patients’ lifestyle choices and how they affect symptoms to make informed treatment related decisions. However, there are communication and process barriers to developing this understanding, including lack of medical knowledge on the part of the patients and lack of standard processes for clinicians to follow. With Data Dialog, we propose a data-driven approach to information exchange between patients and clinicians, using visualizations as ‘boundary objects’ for communication and collaboration. We outline a number of scenarios in which Data Dialog can be useful, and discuss opportunities and challenges that need to be addressed.
