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Collaborative Visual Analytics: A Health Analytics Approach to Injury Prevention
Samar Al-Hajj1, Brian Fisher2, Jennifer Smith3
1Faculty of Health Sciences, American University of Beirut, Beirut 1107 2020, Lebanon. sh137@aub.edu.lb.
International Journal of Environmental Research and Public Health
|September 13, 2017
Summary
Group analytics (GA) fosters common ground among diverse stakeholders, enhancing collaboration and decision-making for complex health problems. This visual analytics approach improves communication and joint activity coordination for child injury prevention.
Area of Science:
- Public Health
- Health Informatics
- Decision Science
Background:
- Understanding complex health data is crucial for addressing multifaceted 'wicked problems' in public health.
- Traditional problem-solving methods are often inadequate for ill-structured, dynamic health issues.
- Visual analytics (VA) offers a potential solution for multi-stakeholder decision-making in child injury prevention.
Purpose of the Study:
- To introduce and pilot a novel group analytics (GA) methodology.
- To evaluate the impact of collaborative visual analytics on problem-solving and decision-making.
- To assess GA's effectiveness in facilitating shared understanding among diverse stakeholders.
Main Methods:
- A novel group analytics (GA) methodology, inspired by the Delphi method, was developed and pilot-tested.
- Two GA sessions were conducted involving multi-stakeholder decision-making.
- Data collection included observations, recordings, questionnaires, and interviews, analyzed using Joint Activity Theory.
Main Results:
- The GA methodology successfully facilitated the emergence of 'common ground' among participants.
- 'Common ground' enhanced verbal and non-verbal communication, coordination of joint activities, and collaboration.
- Stakeholders improved their ability to collaboratively solve problems and make informed decisions.
Conclusions:
- Effective understanding of complex health data is essential for informed decision-making.
- The group analytics (GA) methodology is effective in establishing 'common ground' among diverse stakeholders.
- GA supports collaborative problem-solving and decision-making regarding health data and its implications.
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