Raphael W. Majeed

RWTH Aachen University

Germany

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Articles (11)

Year:

2024

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2024

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2024

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2022

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2022

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2022

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2021

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2021

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2020

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2020

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2020

Collaborators (6)

Andrew Sweatt

Clinical Assistant Professor

Stanford University

UNITED STATES

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Dominik Brammen

Otto-von-Guericke Universität Magdeburg

GERMANY

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Stephen Y. Chan

UNITED STATES

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Josef Ingenerf

University of Luebeck

GERMANY

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Hans-Ulrich Prokosch

friedrich-alexander-universität erlangen-nürnberg (fau)

GERMANY

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David Kiely

University of Sheffield

UNITED KINGDOM

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Raphael W. Majeed

Research Interests

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Articles (11)

Phosphodiesterase-5 Inhibitor Treatment is Associated with Improved Survival in Pulmonary Hypertension Associated with COPD in the PVRI GoDeep Meta-Registry

The Effects of Displaying the Time Targets of the Manchester Triage System to Emergency Department Personnel: Prospective Crossover Study

Bridging Data Models in Healthcare: Introducing a novel intermediate query format for feasibility queries. (Preprint)

Pulmonary Vascular Research Institute GoDeep: A meta‐registry merging deep phenotyping datafrom international PH reference centers

Generation of a Fast Healthcare Interoperability Resources (FHIR)-based Ontology for Federated Feasibility Queries in the Context of COVID-19: Feasibility Study

Understanding the Nature of Metadata: Systematic Review

The Collaborative Metadata Repository (CoMetaR) Web App: Quantitative and Qualitative Usability Evaluation

Cooperative approach of pathology and neuropathology in the COVID-19 pandemic : German registry for COVID-19 autopsies (DeRegCOVID) and German network for autopsies in pandemics (DEFEAT PANDEMIcs).

[AKTIN - The German Emergency Department Data Registry - real-time data from emergency medicine : Implementation and first results from 15 emergency departments with focus on Federal Joint Committee's guidelines on acuity assessment].

Clinical and Functional Characteristics of Patients with Unclassifiable Interstitial Lung Disease (uILD): Long-Term Follow-Up Data from European IPF Registry (eurIPFreg).

Data Integration into OMOP CDM for Heterogeneous Clinical Data Collections via HL7 FHIR Bundles and XSLT.

Collaborators (6)

Andrew Sweatt

Dominik Brammen

Stephen Y. Chan

Josef Ingenerf

Hans-Ulrich Prokosch

David Kiely

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