Background: The standard Fast Healthcare Interoperability Resources (FHIR) is widely used
in health information technology. However, its use as a standard for health research is still …

Smart healthcare has achieved significant progress in recent years. Emerging artificial
intelligence (AI) technologies enable various smart applications across various healthcare …

Much of the knowledge and information needed for enabling high-quality clinical research is
stored in free-text format. Natural language processing (NLP) has been used to extract …

Clinical coding is the task of transforming medical information in a patient's health records
into structured codes so that they can be used for statistical analysis. This is a cognitive and …

Electronic health records (EHR) contain large volumes of unstructured text, requiring the
application of information extraction (IE) technologies to enable clinical analysis. We present …

The importance of incorporating Natural Language Processing (NLP) methods in clinical
informatics research has been increasingly recognized over the past years, and has led to …

Abstract Objectives The HL7® fast healthcare interoperability resources (FHIR®)
specification has emerged as the leading interoperability standard for the exchange of …

Automatic International Classification of Diseases (ICD) coding aims to assign multiple ICD
codes to a medical note with average length of 3,000+ tokens. This task is challenging due …

Abstract Objective Electronic health records (EHRs) are a rich source of information on
human diseases, but the information is variably structured, fragmented, curated using …

Participant recruitment based on unstructured medical texts such as clinical notes and
radiology reports has been a challenging yet important task for the cohort establishment in …