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Related Concept Videos

Integrated Healthcare System01:20

Integrated Healthcare System

An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
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Health Information Technology and Healthcare Information System

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Nursing Clinical Information System

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Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Flame Photometry: Overview01:02

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Flame photometry, also known as flame emission spectrometry, is a technique used for the qualitative and quantitative analysis of elements present in a sample using a flame as the source of excitation energy. The concept of flame photometry was realized in the early 1860s by Kirchhoff and Bunsen, who discovered that specific elements emit characteristic radiation when excited in flames. The first instrument developed for this purpose was used to measure sodium (Na) in plant ash using a Bunsen...

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Related Experiment Video

Updated: May 24, 2026

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

Blaze: A High-Performance Open Source FHIR Server with Embedded CQL Evaluation Engine.

Alexander Kiel1, Tobias Kussel2,3,4, Julian Gruendner5

  • 1Leipzig Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany.

Studies in Health Technology and Informatics
|May 23, 2026
PubMed
Summary
This summary is machine-generated.

Blaze, a high-performance FHIR server with a Clinical Quality Language engine, efficiently supports large-scale clinical research queries. Its functional database design achieves scalable, standards-compliant performance for data networks.

Keywords:
CQLFHIRdatabase performancefederated queriesfunctional programming

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Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
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Published on: February 3, 2021

Related Experiment Videos

Last Updated: May 24, 2026

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational (MySQL) and NoSQL (MongoDB and EXist) Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
10:15

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Published on: February 3, 2021

Area of Science:

  • Health Informatics
  • Computer Science
  • Bioinformatics

Background:

  • The German Cancer Consortium (DKTK) and German Medical Informatics Initiative (MII) require robust data infrastructure for research.
  • Federated feasibility queries demand high-performance, scalable FHIR servers.

Purpose of the Study:

  • To introduce Blaze, an open-source, high-performance FHIR server.
  • To demonstrate Blaze's capability in supporting large-scale clinical research data networks.

Main Methods:

  • Developed Blaze using Clojure with a functional, immutable database architecture (RocksDB).
  • Implemented an embedded Clinical Quality Language (CQL) engine.
  • Conducted benchmarks on datasets exceeding one billion FHIR resources.

Main Results:

  • Blaze supports lock-free concurrency and efficient query execution.
  • Achieved cohort queries over millions of patients in under one minute.
  • Deployed in production at over 60 research sites globally.

Conclusions:

  • Blaze provides scalable, standards-compliant performance for clinical research data networks.
  • A functional, embedded database design is effective for high-performance FHIR servers.
  • Blaze facilitates large-scale federated feasibility queries.