Results 31 to 40 of about 3,668 (179)
Clinical Pharmacology &Therapeutics, EarlyView.Despite developments in supporting the identification and selection of fit‐for‐purpose registries, a translational gap remains between the original purposes of clinically focused registries and their current and future expected use in policymaking. This study aimed to assess the extent to which cancer‐focused registries collect essential data elements ...
Manon C. Wilpshaar +4 more
wiley +1 more source
Informatics(1) Background: Tumor-specific standardized data are essential for AI-based progress in research, e.g., for predicting adverse events in patients with melanoma. Although there are oncological Fast Healthcare Interoperability Resources (FHIR) profiles, it
Jessica Swoboda +7 more
doaj +1 more source
BMC Medical Informatics and Decision Making, 2020 Background Informatics tools to support the integration and subsequent interrogation of spatiotemporal data such as clinical data and environmental exposures data are lacking.
Hao Xu +6 more
doaj +1 more source
ESC Heart Failure, Volume 12, Issue 2, Page 1464-1468, April 2025.Abstract Background There are limited data on the efficacy of smartphone‐based personal health records (PHRs) in patients with cardiovascular disease. This study aimed to examine the processes, outcomes and challenges associated with the implementation of integrated PHRs in patients with heart failure (HF) or coronary artery disease (CAD). Methods This
Kotaro Nochioka +16 more
wiley +1 more source
SQL on FHIR — Tabular views of FHIR data using FHIRPath
npj Digital MedicineAbstract Fast Healthcare Interoperability Resources (FHIR) is becoming a more common format forexchanging health data. However, it remains unfamiliar to most analytic users, and there is aneed to make it easier to integrate with existing tools. In 2023, the 'SQL on FHIR' working group began work on a standard, implementation-agnosticmethod for
John Grimes +8 more
openaire +3 more sources
Electron, EarlyView.Physics‐driven advances in optical nanobiosensors for rapid, miniaturized, and point‐of‐care diagnostics for next‐generation decentralized and personalized healthcare based on sensor intelligence. ABSTRACT Public health emergencies and the escalating burden of chronic diseases necessitate a paradigm shift from centralized laboratory testing to rapid ...
Vishal Chaudhary +5 more
wiley +1 more source
Mapping the SPHN Dataset to FHIR
, 2023 Several European health data research initiatives aim to make health data FAIR for research and healthcare, and supply their national communities with coordinated data models, infrastructures, and tools. We present a first map of the Swiss Personalized Healthcare Network dataset to Fast Healthcare Interoperability Resources (FHIR®).
Sophie Anne Ines Klopfenstein +3 more
openaire +2 more sources
Voice Biometrics and Blockchain: Secure Interoperable Data Exchange for Healthcare
Blockchain in Healthcare Today, 2019 PURPOSE The healthcare system in the United States is unique. From payor to provider, patients have many choices but they lack in the ability to manage or share their health information.
Ben Chevallereau +2 more
doaj +1 more source
Practical considerations for pathologists when selecting digital pathology systems: an ESDIP guide
The Journal of Pathology, EarlyView.Abstract The implementation of digital pathology (DP) has been reported across academic, public, and private laboratory settings, providing valuable insights into workflow transformation. However, comparatively little guidance exists on how DP systems should be evaluated prior to acquisition and deployment.
Diana Montezuma +9 more
wiley +1 more source
FAIRness for FHIR: Towards Making Health Datasets FAIR Using HL7 FHIR
, 2022 Medical data science aims to facilitate knowledge discovery assisting in data, algorithms, and results analysis. The FAIR principles aim to guide scientific data management and stewardship, and are relevant to all digital health ecosystem stakeholders.
Alicia Martinez-García +6 more
openaire +3 more sources