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Use of a Data-Sharing System During Diabetes Consultations
Meghan Bradway1, Miroslav Muzny1,2, Eirik Årsand1,2
1Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway.
Studies in Health Technology and Informatics
|October 23, 2023
Summary
The FullFlow System improved patient-provider relationships and discussions during diabetes care by enabling data sharing. This technology bridges the gap between ideal self-management and current data-sharing limitations.
Area of Science:
- Health Informatics
- Patient-Provider Communication
- Diabetes Self-Management
Background:
- Patient-gathered data and shared decision-making are crucial for improving health outcomes and patient-provider collaboration.
- A significant barrier to effective patient-provider collaboration is the lack of robust data-sharing technology.
Purpose of the Study:
- To evaluate the impact of the FullFlow System on patient-provider relationships.
- To assess the effect of the FullFlow System on the nature of consultation discussions in diabetes care.
Main Methods:
- Implementation of the FullFlow System for sharing patient-gathered data.
- Conducting diabetes consultations utilizing the FullFlow System.
- Analyzing the impact on patient-provider dynamics and discussion content.
Main Results:
- The FullFlow System facilitated enhanced data sharing between patients and providers.
- Observations indicated a positive influence on the patient-provider relationship.
- Consultation discussions were notably affected by the integrated data-sharing approach.
Conclusions:
- The FullFlow System demonstrates potential in overcoming data-sharing challenges in diabetes consultations.
- Improved data sharing through technology can positively transform patient-provider interactions and treatment planning.
- Bridging the technology gap is essential for realizing the benefits of patient-gathered data in healthcare.
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