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The Ligurian HIV Network: How Medical Informatics Standards Can Help Clinical Research.
Barbara Giannini1, Sara Mora1, Roberta Gazzarata2
1Department of Informatics, Bioengineering, Robotics and System Engineering, (DIBRIS), University of Genoa, Italy.
Studies in Health Technology and Informatics
|August 24, 2019
Summary
This study introduces an automated system for extracting electronic health record (EHR) data for clinical trials, reducing manual effort and errors. The Ligurian HIV Network (LHN) platform enhances data collection for HIV research.
Area of Science:
- Infectious Diseases
- Clinical Informatics
- Health Services Research
Background:
- Evidence-based medicine relies on integrating research findings into practice.
- Multicenter clinical trials require efficient data collection.
- Manual data collection is resource-intensive and prone to errors.
Purpose of the Study:
- To develop and evaluate an automated system for extracting clinical data from electronic health records (EHRs).
- To enhance the re-use of clinical data for multicenter clinical trials within the Ligurian HIV Network (LHN).
Main Methods:
- Development of a system to automatically extract clinical data from EHRs across three LHN hospitals.
- Standardization of extracted data for improved usability in clinical research.
- Physician feedback collected via dedicated questionnaires.
Main Results:
- The system successfully automates clinical data extraction from EHRs.
- Standardized data enhances re-use for clinical trials.
- Physicians reported positive feedback on the platform's efficacy in supporting clinical research.
Conclusions:
- Automated EHR data extraction streamlines clinical trial processes.
- The LHN platform effectively supports clinical research by improving data management.
- This approach reduces manual effort and minimizes errors in data collection.
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