Latest AI and machine learning research in practice management for healthcare professionals.
Semantic interoperability, a popular research area for electronic health records, can also be a challenge for quality indicators. We analysed attributes and relationships in a diverse set of over 200 healthcare quality indicators and created a searchable ontology. The ontology is intended to help reduce duplication of effort in healthcare quality monitoring. We describe issues with coding the indi...
The Diagnostic and Statistical Manual (DSM) has served as the gold standard for psychiatric diagnosis for the past several decades in the USA, and DSM diagnoses mirror mental health and substance abuse diagnoses in ICD-9 and ICD-10. However, DSM diagnoses have severe limitations when used as phenotypes for studies of the pathophysiology underlying mental disorders, as well as for clinical treatmen...
To translate the 11th edition of the International Classification of Diseases (ICD-11) into French, we proposed a lexical approach using Natural Langu...
This work develops an automated classifier of pathology reports which infers the topography and the morphology classes of a tumor using codes from the...
Computerisation of quality indicators for the English National Health Service currently relies primarily on queries and clinical coding, with little u...