Termviewer - A Web Application for Streamlined Human Phenotype Ontology (HPO) Tagging and Document Annotation.

Clinical notes from electronic health records (EHRs) contain a large amount of clinical phenotype data on patients that can provide insights into the phenotypic presentation of various diseases. A number of Natural Language Processing (NLP) algorithms have been utilized in the past few years to annotate medical concepts, such as Human Phenotype Ontology (HPO) terms, from clinical notes. However, efficient use of NLP algorithms requires the use of high-quality clinical notes with phenotype descriptions, and erroneous annotations often exist in results from these NLP algorithms.

Measuring the impact of a burns school reintegration programme on the time taken to return to school: A multi-disciplinary team intervention for children returning to school after a significant burn injury.

Introduction: Returning to school can be a major step for burn-injured children, their family, and staff and pupils at the receiving school. Previous literature has recognised the difficulties children may face after a significant injury and factors that may influence a successful reintegration.

Aim: A regional paediatric burns service recognised that some patients were experiencing difficulties in returning to school.