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Evaluating Semantic Interoperability: A Preliminary Study on Finnish Nursing Documentation and the LEP Nursing
Mikael Helenius1,2, Hanna von Gerich2, Glorianna Jagfeld3
1Turku University Hospital, Finland.
Studies in Health Technology and Informatics
|August 8, 2025
Summary
Sharing health data internationally is crucial. This study found that using multiple nursing classification systems, like Finnish Care Classification System (FinCC) and LEP Nursing 3, presents documentation challenges due to inconsistencies and varied clinical use.
Area of Science:
- Health Informatics
- Nursing Informatics
- Data Standards
Background:
- International initiatives like the European Health Data Space aim to enhance health data sharing for improved access and utilization.
- Standardizing nursing interventions is essential for interoperability and consistent data representation in electronic health records.
Purpose of the Study:
- To explore the challenges and implications of coding nursing interventions using multiple classification systems.
- To assess the feasibility of applying the LEP Nursing 3 classification to data originally documented in the Finnish Care Classification System (FinCC).
Main Methods:
- Electronic health records initially coded with FinCC were retrospectively coded using the LEP Nursing 3 intervention classification.
- Analysis of 2807 annotations across 2594 nursing data entries.
Main Results:
- A significant portion of entries (85.6%) pertained to monitoring interventions.
- Inconsistencies were observed at the FinCC component level, with infrequent use of structured headings and subcategories.
- Single documentation entries often contained multiple interventions, complicating direct mapping between classification systems.
Conclusions:
- Implementing health data exchange platforms with diverse data standards presents significant challenges.
- Clinical application of harmonized health data standards may differ from their intended design.
- Coding LEP Nursing interventions in Finnish electronic health records may be feasible for specific areas (movement, treatment, safety) based on FinCC data, warranting further investigation across all nursing domains.
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