Our results point to higher reuse rates achieved due to an engineering process that provided greater adherence to EHR standards combined with semantic artifacts. This reveals the potential to develop new methods and frameworks aimed at EHR information model reuse. Additional research is needed to evaluate the impacts of the reuse of the EHR information model on interoperability, EHR data reuse, and data quality and assess the proposed framework in other health domains.
Keyphrases
- electronic health record
- wastewater treatment
- clinical decision support
- health information
- adverse drug
- public health
- mental health
- palliative care
- magnetic resonance imaging
- metabolic syndrome
- adipose tissue
- human health
- quality improvement
- type diabetes
- social media
- skeletal muscle
- deep learning
- artificial intelligence