Search results for "FHIR": 1,054 articles
AHIP announced that major U.S. health insurers (including UnitedHealthcare, Humana, and Cigna) have voluntarily committed to improving the cumbersome 'prior authorization' process. This initiative aims to standardize electronic data exchange and achieve real-time processing capabilities.
The U.S. Department of Health and Human Services (HHS) and Centers for Medicare & Medicaid Services (CMS) announced six key reforms with industry leaders, aiming to streamline the prior authorization process for Americans' care.
FHIR๏ผFast Healthcare Interoperability Resources๏ผใฏใๅป็ใใผใฟใฎใตใคใญๅใ่งฃๆถใใๆฃ่ ใฎๅ จๅฑฅๆญดใใชใขใซใฟใคใ ใงๅฎๅ จใซๅ ฑๆๅฏ่ฝใซใใใใใฎ็พไปฃ็ใชๆจๆบ่ฆๆ ผใงใใใใใใซใใใๅปๅธซใ็ ้ขใ่ฌๅฑใชใฉใ็ฐใชใใทในใใ ้ใงๆ ๅ ฑใในใ ใผใบใซใใๅใใงใใใใใซใชใใ้่คๆคๆปใๆๆธใๆธ้กใซใใ้ๅน็ๆงใๆ้คใใใ
Clinicians waste approximately 12 hours per week battling fragmented data. This issue is not merely a technical debt but a profound operational crisis impacting patient outcomes. The article argues that Semantic AI and Federated Learning offer the only practical solution capable of connecting disparate data sources, surpassing the limitations of existing standards like FHIR.
Salesforce's Health Cloud supports healthcare organizations in meeting regulatory requirements through three main areas: assistance with HIPAA compliance, adherence to the HL7 FHIR standard, and achieving HITRUST security certification.
Driven by the need for data exchange, the healthcare industry is moving toward standardized FHIR (Fast Healthcare Interoperability Resources). The article explains the importance of an 'end-to-end' development approach to integrate complex legacy and siloed data.
Canvas Medical has added the `UPSERT_PATIENT_METADATA` effect, enabling developers to create and edit patient metadata via plugins. This enhances flexibility in managing patient information.
Apple published technical guidelines detailing the process for temporarily suspending (Suspending) and resuming data sharing access for both Health Records and Health app data Share with Provider. This guide helps users manage patient access during system maintenance or unexpected downtime.
The National Resource Center for EHR Standards has released detailed specifications for the ObservationGeneralAssessment profile, based on FHIR. This resource aids in standardizing and improving interoperability of observation data within ABDM environments.
Based on the CMS-0057-F Final Rule, payers are required to implement FHIR R4 APIs and share patient data with providers. This allows physicians to securely and efficiently access historical clinical records and encounter history, ensuring continuity of care.
As health data sharing increases, standardizing data is essential for improving interoperability. This article explains the roles and importance of key data exchange and coding standards (such as FHIR, HL7, and ICD-10) used in EHRs and billing processes.
Canvas Medical released updates to its EMR system via SDK and FHIR API. Improvements include UI/UX enhancements like minimizing applications and setting default behaviors, alongside data management extensions such as adding patient messaging and supporting external identifier events.
AWS HealthLake now allows developers to select between 'Eventual Consistency' and 'Strong Consistency' for search results when resources are updated. This enables reliable handling of the latest resource information at critical times.
ObserveID announced a new Epicโข application connector, leveraging FHIR and HL7 standards to automate identity lifecycle management and strengthen security in healthcare organizations. This enhances access control and compliance without disrupting critical clinical systems.
CMS and HL7 opened registration for the 2025 FHIR Connectathon.
Using AWS CloudFormation, a data store capable of ingesting and exporting FHIR formatted data can be created via the `AWS::HealthLake::FHIRDatastore` resource definition. This feature provides a foundation for standardizing and utilizing medical data on the cloud.
Girish Ganachari, a Senior Data Engineer, details his experience designing and implementing real-time data platforms for large healthcare organizations. He achieved the integration of data from multiple EHR systems and IoT devices, enabling rapid clinical decision-making and efficient care delivery in medical settings.
Animesh Mane, an alumnus of Northeastern University and seasoned data engineer, is revolutionizing data management and utilization across various US industries through his expertise in data engineering. He founded DataFlow Dynamics to provide integrated solutions for high-impact sectors like healthcare, manufacturing, and finance.
The U.S. government mandates the adoption of standards for transactions and data elements to enable electronic exchange of health information. Based on HIPAA regulations, this applies to various administrative processesโsuch as claims, eligibility checks, and paymentsโand is realized through technical standards like FHIR and X12.
Large US healthcare systems are leveraging modern standards like FHIR and TEFCA to achieve real-time data sharing and nationwide interoperability. This is expected to enable smooth data exchange among diverse entities, including providers, payers, and public health organizations.