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Improving Healthcare Quality with an LHS
Ricardo L Santos1, Ricardo Cruz-Correia2
1PhD Student Health Data Science Faculty of Medicine University of Porto, Portugal.
Studies in Health Technology and Informatics
|May 19, 2023
Summary
This study explores using partial oxygen saturation (SpO2) data within a Learning Health System (LHS). The goal is to enhance patient self-care and decision-making by integrating personal health records with electronic health records.
Area of Science:
- Health Informatics
- Biomedical Data Analysis
Background:
- The Learning Health System (LHS) facilitates problem-solving in healthcare through data analysis.
- Partial oxygen saturation (SpO2) and related metrics offer potential for health condition prediction.
Purpose of the Study:
- To propose a Personal Health Record (PHR) system for enhanced self-care and healthcare access.
- To integrate PHR data with Electronic Health Records (EHRs) for comprehensive patient data analysis.
Main Methods:
- Developing a PHR system capable of data exchange with hospital EHRs.
- Utilizing SpO2 and related data for health condition analysis and prediction.
Main Results:
- The proposed system aims to improve patient decision-making by leveraging personal health data and best evidence.
- Integration with EHRs will support enhanced self-care, support networks, and healthcare seeking.
Conclusions:
- SpO2 data can be a valuable component within LHS frameworks.
- The developed PHR system can facilitate better patient engagement and informed healthcare choices.
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