Search results for "LOINC": 168 articles
The development team enhanced the document reference search function within an electronic health record system. This allows searching not only for traditional IPS documents but also for various types like MeOW and IT, broadening the scope of information sharing.
FHIR Extensions allow the exchange of local or project-specific healthcare data that is not covered by base resources. This enables systems to add extra information without creating incompatible custom versions.
A healthcare informatics expert offers comprehensive support for technical challenges and interoperability risks in system development, focusing on HL7 FHIR. Services range from training to architecture design and governance establishment, providing implementation support with a global perspective.
The digital patient journey encompasses the entire process, from prevention and symptom recording through diagnosis, treatment, and remote monitoring. Ensuring structured and reusable health data throughout this continuum is key to maximizing healthcare value.
Health Samurai introduces 'Aidbox,' a FHIR-native backend platform. It supports the development of advanced healthcare software, including clinical data repositories and EHR systems.
The code system browser provided by NIH offers integrated management and reference for diverse medical terminologies, such as UMLS. It details the relationship with international standards like FHIR and LOINC, providing foundational information crucial for data interoperability in Japanese healthcare IT.
The Ministry of Health and Welfare's Information Department shared its digital health progress with the CEO of Australia's MSIA. Taiwan's
The transmission of lab results from analyzers to the EHR relies on the HL7 v2 ORU message flow. This process structures patient demographics and measured values, making them available quickly and accurately at the point of care.
Care Code 600 has established a foundational framework for interoperability, ethics, and data stewardship in the digital health sector. It sets technical and procedural requirements designed to ensure smooth data flow while respecting patient autonomy.
Digital health does not start with an app, but with medical questions and unmet care needs. True value is realized only when this knowledge is translated into technology and linked with data, leading to measurable outcomes in clinical settings.
Developers are building 'Model Context Protocol (MCP)' servers to provide healthcare and wellness data to AI. Significant progress has been made in connecting FHIR (Fast Healthcare Interoperability Resources) and fitness data sources like Strava and Garmin, enabling the development of advanced healthcare applications.
NVIDIA's 'cohort-compare' skill automatically analyzes large clinical datasets retrieved from FHIR endpoints to identify care gaps and patterns within patient cohorts. This capability aids in improving healthcare quality and developing personalized treatment strategies.
A multi-agent AI pipeline was developed to transform a doctor's fragmented FHIR chart data into a condition-centric pre-fill form. This system ensures thorough de-identification, evidence-grounding, and access control, enhancing reliability in clinical settings.
This study developed and validated an FHIR R4 Implementation Guide to integrate patient-generated health data (PGHD) from consumer wearable devices into clinical systems. It provides a standardized data transformation framework for lifestyle medicine across multi-vendor environments, addressing global healthcare interoperability challenges.
Vysio has developed an end-to-end platform that acquires data from wearable hemodynamic monitors via a BLE gateway, standardizes it using FHIR R4, and integrates it into hospital EMRs using standards like HL7v2. This enables the automatic linkage of real-time vital sign information to multiple major EMR systems.
In 2026, digital health is moving from experimentation into execution. While technologies like AI and remote monitoring are becoming widespread, the critical importance of standards like FHIR and SNOMED CT for data exchange infrastructure is being reaffirmed.
Espeir introduces CLARYS, which continuously and reliably reads the patient journey to support medical decision-making. It integrates data from multiple sources and presents clinical information in an immediately usable format without modifying existing systems.
This article reviews terminology servers required to handle specialized vocabularies for genomics in the context of FHIR-aligned data processing. It introduces five specific solutions capable of supporting multiple standards like HGNC and LOINC, while also addressing practical clinical operational challenges.
OpenHealth Technologies provides an integrated information infrastructure that transforms fragmented clinical data from sources like EHRs and LIS into structured, actionable intelligence. This enables healthcare providers and insurers to gain a holistic view of patients, facilitating preventative care and cost reduction.
Simply installing sensors or collecting data does not make a hospital safer. This article argues that achieving successful healthcare IoT deployment requires more than technical interoperability (FHIR); it demands a fundamental 'care redesign.'