"Less words, more pictures": creating and sharing data visualizations from a remote health monitoring system with clinicians to improve cancer pain management
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View abstract on PubMed
Summary
This summary is machine-generated.Palliative care clinicians prefer simpler data visualizations focusing on physical pain, with varying interest in caregiver data. Integrating remote health monitoring data into workflows is key for optimal patient care.
Area Of Science
- Digital Health
- Data Visualization
- Palliative Care
Background
- The Behavioral and Environmental Sensing and Intervention for Cancer (BESI-C) system collects comprehensive data on cancer pain.
- Data includes physiological, behavioral, psychosocial, and contextual factors from patients and caregivers.
Purpose Of The Study
- To assess palliative care clinicians' preferences for data visualizations from a remote health monitoring system.
- To inform the development of effective data presentation for clinical decision-making in cancer care.
Main Methods
- R, Python, and Canva software were used to create data visualizations.
- Clinicians participated in feedback sessions, reviewed visualizations, completed surveys, and engaged in discussions.
- Quantitative and qualitative feedback was used to iterate on visualization designs.
Main Results
- Clinicians preferred simpler visualizations focusing on physical pain assessment and pharmacological interventions.
- Interest in caregiver-reported data and environmental variables varied by discipline.
- Non-physician participants showed more interest in environmental and non-pharmacological intervention data.
Conclusions
- Clinicians desire high-level summaries of complex sensing data for quick processing.
- Integrating remote health monitoring data, including environmental and caregiver data, into clinical workflows is crucial.
- Future work should focus on customizing visualization formats and addressing ethical considerations.
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