Jefferson Health Plans is providing members with easier access to their medical data through APIs, in response to CMS regulations. This allows verified third-party applications to access clinical and claims data with the patient's consent.
EndoSoft's EndoVault offers a solution that seamlessly integrates with Epic's Lumens, supporting the entire workflow from endoscopy image management to report generation. This significantly enhances both data collection and reporting processes in clinical settings.
Google released the second Developer Preview (DP2) of Android 16 for Pixel devices. This version introduces system-level optimizations, app performance improvements, and key developer features, including enhanced management of health records in FHIR format via Health Connect.
AWS HealthLake allows for the efficient import of FHIR data from Amazon S3. The documentation details the process, including job management and setting validation levels.
This article details the process of creating FHIR resources within an AWS HealthLake data store. It covers technical implementation specifics, including using POST method API calls, JSON body structure, and setting validation levels.
This article details the procedure for updating healthcare data resources (FHIR) in a cloud environment. It demonstrates how to use the PUT method for sending data, covering both existing resource updates and new resource creation through specific API calls and conditional update methods.
This article explains how to search for FHIR resources within AWS HealthLake. While GET requests can be used to query data store resources, the use of POST requests is recommended as a security best practice when searching for Personally Identifiable Information (PII) or Protected Health Information (PHI).
Interlace Health announced its collaboration with MEDITECH to provide cloud-based solutions utilizing FHIR, streamlining data entry and form management within Electronic Health Records (EHRs). This enables structured sharing of patient-entered data directly into the EHR.
The CMS eCQM Standards Team announced its participation in the 'Virtual HL7 FHIR Connectathon,' scheduled for January 14-16, 2025. The event focuses on electronic quality measure testing and data exchange scenarios related to Quality Measurement and Clinical Decision Support Use Cases.
Amazon Web Services (AWS) announced that it has enhanced the interoperability of Amazon HealthLake by implementing support for SMART on FHIR. This enables developers to achieve broader application connectivity, advancing the utilization of healthcare data.
Google has released the second developer preview for Android 16. This update significantly enhances healthcare-related features, including Health Connect's support for FHIR format medical records and the addition of the ACTIVITY_INTENSITY data type.
Healthcare AI startup Suki announced major updates to its flagship product, Suki Assistant, in collaboration with Google Cloud. The new features include patient summarization and clinical Q&A, aiming to reduce administrative burden and improve decision support for clinicians.
Amazon Web Services (AWS) has published a comprehensive list of supported FHIR R4 resource types for HealthLake. This provides developers with detailed technical information to enhance the standardization and interoperability of healthcare data.
AWS HealthLake has implemented SMART on FHIR support, enabling secure and standardized access to medical data from applications. This system utilizes industry-standard authorization servers for authentication and authorization, replacing traditional ID management methods.
Elait Health announced the appointment of Michael Boggs as its new Chief Executive Officer. Mr. Boggs will lead the strategic vision for the company's AI-powered health data management platform, aiming to improve interoperability and operational efficiency.
AWS HealthLake offers two types of bundle processing for handling FHIR resources: 'Batch' and 'Transaction'. Users must select the appropriate method based on data characteristics and integrity requirements.
According to Black Book Research, Onyx received the highest rating for FHIR-based prior authorization solutions. This is driven by the shift toward HL7 FHIR standards mandated by CMS, emphasizing the need for real-time data sharing and operational efficiency.
CMS has mandated that impacted payers implement a FHIR-based 'Provider Directory API' to publicly share information on their contracted provider networks. This aims to improve access for patients and healthcare providers, allowing members easy, unauthenticated access to comprehensive network details, thereby enhancing data consistency and efficiency across the industry.
Black Book Research identified Onyx as the highest-rated vendor for FHIR-based prior authorization interoperability solutions. The survey highlights the critical importance of standardizing data exchange to meet CMS mandates, positioning OnyxOS as a benchmark platform in this field.