This study explores integrating HL7 Fast Healthcare Interoperability Resources (FHIR) into a Clinical Decision Support System (CDSS), utilizing a Pepper humanoid robot to support doctor visits in a hospital setting. By having the robot act as a data collection interface, it aims to seamlessly integrate and visualize data from patients and clinical monitors, thereby streamlining the diagnostic process for doctors.
This page provides an extensive list of test definitions for healthcare data interoperability within the FHIR Sandbox environment. Specific validation is available for core resources like CareTeam and DiagnosticReport, covering basic CRUD operations (Create, Read, Update, Delete). This serves as a crucial reference point for developers building robust interfaces compliant with standard specifications.
This page provides the interface and detailed technical specifications for searching FHIR resources. Users can select from standard schema definitions, FHIR profiles, or custom FHIR resources, configuring HTTP methods and search parameters accordingly.
Buddort Tech launched an HL7 FHIR compliant API suite for the MyHealthNote Ecosystem. This allows developers and institutions programmatic access to real-time health data, ranging from anonymous global aggregates to individual data based on patient consent.
This article explains the process of automatically converting natural language search queries into FHIR format, enabling execution against compliant servers. Users can edit and update these generated query parameters to perform advanced searches that meet complex business requirements.
No known issues are currently reported regarding the use of HL7 Europe Extensions v1.2.0. This guide is based on FHIR 5.0.0, and a newer version, 1.3.0, supersedes it.
According to Aidbox Docs, this guide details the procedure for a patient to access their Electronic Health Record (EHR) and launch specific SMART applications. The process involves navigating to a designated URL, logging into the patient portal, selecting the desired app from the list, and clicking the 'Launch' link.
This article details the process of bulk deleting multiple FHIR resources from a FHIR store using the Google Cloud Healthcare API. It explains how filtering by criteria like resource type and last updated time helps manage data efficiently and reduce costs.
The 30th HL7 FHIR CONNECTATHON, hosted by Global Health Connector, was held virtually from May 2 to May 4, 2022. The event focused on validating the exchange and display of Electronic Product Information (ePI) and International Patient Summaries (IPS) using FHIR documents.
This article explains how to efficiently delete large volumes of data from a FHIR store using the Google Cloud Cloud Healthcare API. Users can bulk-delete multiple FHIR resources based on specific criteria (such as resource type or last updated time), which is useful for data lifecycle management and cost reduction.
By combining its HealthKit ecosystem with the FHIR R4 standard, Apple is transforming personal mobile devices into secure, longitudinal hubs for medical data, fundamentally changing how health information is exchanged. This signals a shift from traditional provider-centric, siloed models toward a decentralized, patient-mediated paradigm.
The World Health Organization (WHO) released version 0.2.0 of the 'Immunization Implementation Guide' based on FHIR standards. The guide includes test data for various scenarios, but explicitly states that this material is not intended for formal conformance determination or authoritative use.
Clinical research organizations are competing not only on scientific excellence but also on data reliability and speed of decision-making. Consequently, implementing a 'Clinical Data Platform'βwhich integrates architecture and governance beyond mere data centralizationβhas become a strategic priority.
Hospitals on FHIR, in collaboration with HL7 Europe and the XIA Project, launched a free webinar series focused on 'Implementing the EU Lab Report.' The series provides practical knowledge regarding compliance with the European Health Data Space (EHDS) and emphasizes the critical role of medical terminologies for semantic interoperability.
Lifebit has established a process for converting data from legacy EHR warehouses, which have complex structures, into the FHIR standard. This enables the processing of vast clinical datasets in hours while maintaining high data integrity at scale.
OpenAI announced the new feature, 'ChatGpt Health.' While it allows users to utilize their health data and wearable device information for personalized wellness advice, concerns persist regarding privacy protection and the accuracy/ethical use of AI-provided medical information.
This service converts older clinical documents, such as C-CDA R2.1 (e.g., electronic health records), into the modern and international healthcare data exchange standard, FHIR R4. This process structures diverse medical records, enabling seamless system interoperability.
Developer Buydeepdiscount.com LLC has released an educational application, 'FHIRApp,' designed to teach FHIR (Fast Healthcare Interoperability Resources), a standard in medical informatics. The app allows users to systematically and interactively learn concepts such as FHIR resources, profiles, and extensions through flashcards and quizzes.
IBM released App Connect for Healthcare 13.0.1, providing advanced message processing and data analysis capabilities supporting major standards like HL7 and FHIR. This facilitates information exchange and data extraction/utilization across diverse healthcare systems.