Search results for "FHIR": 109 articles
The Fraunhofer Institute (IESE) is developing a project that uses Large Language Models (LLMs) and Natural Language Processing (NLP) to automatically convert unstructured full-text medical documents, such as doctor's notes, into standardized data formats. This aims to solve issues of manual data entry and difficulty in research utilization within the German healthcare system.
The 'FHIR-Starter' project, led by Fraunhofer IESE, aims to automatically structure unstructured medical texts using LLMs and NLP. This facilitates data sharing and research utilization, helping to reduce the burden on physicians and strengthening German research capabilities.
The 'FHIR-Starter' project, led by Fraunhofer IESE, is developing a software service that automatically analyzes unstructured medical documents using LLMs and NLP, converting them into standardized data formats. This aims to promote the utilization of medical data and digitalize electronic health records.
HL7 Deutschland is holding an online meeting to coordinate change proposals and correction requests for TC FHIR and related terminologies. The event focuses on the latest developments and technical discussions regarding HL7, a communication standard in the healthcare sector.
März, a provider of digital health solutions, and Doctolib, a healthtech company, have established a strategic cooperation. The goal is to achieve the efficient and seamless integration of Doctolib's solutions into existing hospital IT infrastructure.
Dräger has introduced the Access and Control Package, which allows for more flexible acquisition of vital signs data—such as non-invasive/invasive blood pressure, ECG, SpO2, and CO2. This enables clinical staff to view real-time data remotely from the patient's bedside and manage alarm settings or pause alarms.
Gematik has launched the Central Terminology Server (ZTS) necessary for data exchange in Germany's healthcare sector. This server provides multiple coding systems and value lists in a standardized format, contributing to improved interoperability of medical data.
The Central Terminology Server (ZTS) is now available in the German healthcare sector. It serves as a central platform providing semantic standards through standardized formats and access methods.
Gematik discussed the implementation of a central terminology server to improve healthcare interoperability using the FHIR format.