We introduce the world's first clinical terminology for the Chinese healthcare community, namely MedCT, accompanied by a clinical foundation model MedBERT and an entity linking model MedLink. The MedCT system enables standardized and programmable representation of Chinese clinical data, successively stim...
For this purpose, the structure of the data and the presence of records on EHR are both important. EHRs are recorded as either unstructured keyboard entry narrative data or structured coded data24. Structured data enable the reuse of data collected in the course of clinical care. However, ...
Recently, rapid growth of large electronic health records (EHRs) has led to an unprecedented expansion of the availability of electronic medical data, including clinical narratives. EHR data have been used not only to support computerized clinical applications (e.g., clinical decision support systems...
Regional healthcare platforms collect clinical data from hospitals in specific areas for the purpose of healthcare management.It is a common requirement to reuse the data for clinical research.However,we have to face challenges like the inconsistence of terminology in electronic health records (EHR) ...
The aim of the study was to describe if and how patients' communication disabilities are documented within electronic health records (EHR). Methods A retrospective manual chart review of all inpatient and outpatient clinical encounter notes within the EHR for patients who had undergone a laryngec...
Explain diagnoses and treatment plans in clear, simple language your patients can understand. Focus on using conversational tones and avoid technical terms. If you need to use medical terminology, explain it simply enough for the average person to grasp. ...
clinical trials (RCT). However, RCTs can be very expensive, time-consuming, and limited by the lack of external validity2,3. Hence, there has been a growing interest in using observational data to compare and evaluate the effectiveness of clinical interventions, also known as comparative ...
1. IBM Applied AI Professional Certificate Last year, there was lots of uncertainty around how artificial intelligence would affect healthcare IT. Some of the practical applications have now come into view with the introduction of technologies that assist in clinical documentation, medical administration...
By fine-tuning large language models to the nuances of medical terminology and patient interactions, LeewayHertz enhances the accuracy and relevance of AI-driven communications and clinical analyses. We ensure these AI systems integrate seamlessly with existing healthcare IT infrastructures, such as hospi...
Natural language processing (NLP) technology is used to extract meaningful information from unstructured medical data, such as clinical records and research articles. This technology helps improve electronic health record (EHR) systems, streamline administrative tasks, and enhance patient care through ...