A ValueSet defining concepts related to specific immunotherapies has been published. This set includes procedure codes such as biological response modifier therapy and various immunotherapy procedures, aiding standardization in healthcare information exchange.
While FHIR standards dictate that the initiating application must provide a Provenance resource, the managing FHIR server must perform deeper validation—including source authentication and structural integrity checks—to ensure data quality.
This report analyzes the impact of bariatric surgery on medical obesity treatment. Based on a 2018 Norwegian cohort study, it compares multiple outcome indicators, including diabetes remission rates, new onset depression, and opioid use.,
This article compares HL7 FHIR with traditional data standards, highlighting how FHIR enables efficient and secure exchange of medical data. FHIR utilizes modern web technologies like RESTful APIs and JSON to achieve real-time data access and easier implementation.
Sonata Health offers a data interoperability assessment service leveraging Azure Health Data Services based on FHIR standards. This solution aims to support the integration of diverse systems within the healthcare and life sciences sectors.
This article provides a variable list for analyzing the impact of 'Bariatric Surgery' versus 'Medical Obesity' on long-term medical complications and obesity-related comorbidities, based on a 2018 Norwegian cohort study. The dataset defines key exposure variables such as Age and Body Mass Index (BMI).
Smile Digital Health announced that West Coast Informatics (WCI) has completed its Technology Partner Certification Program. This partnership strengthens their ability to achieve advanced healthcare interoperability centered on FHIR and contributes to resolving data silos in the healthcare industry.
The non-profit organization HL7 plans to establish a new FHIR Accelerator community focused on health device interoperability. This initiative aims to address data exchange issues ranging from high-acuity clinical settings like operating rooms and ICUs, to personal wellness devices used in homes.
The FEvIR platform published a baseline measures list for the PARACHUTE trial. This list includes 14 variables, such as age, sex, height, and weight, which helps structure data and ensure interoperability in clinical research.
This article explains how to manage FHIR services within the Microsoft Azure environment. Specifically, it provides procedures and syntax for safely deleting deployed FHIR services using the PowerShell cmdlet `Remove-AzHealthcareFhirService`.
Balamurugan Sivakolunthu Vel, a healthcare informatics researcher, proposes a novel cloud-native architecture designed to integrate Electronic Health Records (EHR) with Internet of Things (IoT) medical devices. This system aims to transform healthcare delivery by solving data heterogeneity and real-time processing challenges while ensuring privacy compliance.
This study reports on the development and cross-system sharing of a hybrid electronic health record (EHR)-native and SMART-compatible Clinical Decision Support (CDS) tool designed to automate smoking cessation treatment for caregivers during pediatric visits. It demonstrates its effectiveness as a data sharing model, providing new guidelines for disseminating complex CDS tools.
Multiple international initiatives, including HL7 FHIR and ART-DECOR, highlight the necessity of unified terminology services for comprehensive clinical data, such as end-of-life care. These efforts aim to integrate major code systems like SNOMED CT and LOINC into the FHIR ecosystem to improve data interoperability.
A new Java library has been released to simplify the handling of FHIR Dosage data structures. This tool provides functionality to convert Dosage objects into human-readable text and extract specific fields.
Driven by digital health technologies, pharmaceutical product labeling is transitioning to electronic Product Information (ePI) and utilizing the Fast Healthcare Interoperability Resources (FHIR) standard for data exchange. This shift moves from paper-based formats to structured data, aiming to improve efficiency and patient safety across entire healthcare systems.
As digitalization advances, closed IT systems hinder data sharing and innovation. The article explains how using standardized information structures (ZIBs) and HL7 FHIR can enhance data reusability and accessibility, leading to more efficient and higher-quality patient care.
This page provides the definition of a ValueSet designed to handle healthcare data related to Quality of Life (QoL). The set includes multiple LOINC codes primarily associated with respiratory symptoms and Activities of Daily Living (ADL), indicating its use in clinical data collection.