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Project: Management of health information systems60
Towards a Comparison of National eHealth Portals: Poster
Management of health information systems

Abstract

Not specified

Authors: Maryam Ghalandari, Franziska Jahn, Alfred Winter

Date Published: 2020

Publication Type: Misc

Developing and implementing a health IT ontology for facilitating retrieval of health IT evaluation studies
Management of health information systems

Abstract (Expand)

Introduction: Evidence-based health informatics needs easy access to published health IT evaluation studies. The indexing of health IT evaluation studies by using MeSH terms is not specific enough which … makes retrieval difficult [ref:1]. To solve this problem, we want to support the retrieval[for full text, please go to the a.m. URL]

Authors: Verena Dornauer, Maryam Ghalandari, Konrad Höffner, Franziska Jahn, Alfred Winter, Elske Ammenwerth

Date Published: 2019

Publication Type: Misc

Open and linkable Knowledge about Management of Health Information Systems
Management of health information systems

Abstract

Not specified

Authors: Konrad Höffner, Franziska Jahn, Anna Lörke, Thomas Pause, Birgit Schneider, Elske Ammenwerth, Alfred Winter

Date Published: 2019

Publication Type: InCollection

Communication Architecture for AAL: Supporting Patient Care by Health Care Providers in AAL-enhanced Living Quarters
Management of health information systems

Abstract

Not specified

Authors: T. Nitzsche, S. Thiele, A. Häber, Alfred Winter

Date Published: 20th Jan 2018

Publication Type: Journal article

Towards Phenotyping of Clinical Trial Eligibility Criteria
Management of health information systems

Abstract (Expand)

BACKGROUND Medical plaintext documents contain important facts about patients, but they are rarely available for structured queries. The provision of structured information from natural language texts …s in addition to the existing structured data can significantly speed up the search for fulfilled inclusion criteria and thus improve the recruitment rate. OBJECTIVES This work is aimed at supporting clinical trial recruitment with text mining techniques to identify suitable subjects in hospitals. METHOD Based on the inclusion/exclusion criteria of 5 sample studies and a text corpus consisting of 212 doctor’s letters and medical follow-up documentation from a university cancer center, a prototype was developed and technically evaluated using NLP procedures (UIMA) for the extraction of facts from medical free texts. RESULTS It was found that although the extracted entities are not always correct (precision between 23% and 96%), they provide a decisive indication as to which patient file should be read preferentially. CONCLUSION The prototype presented here demonstrates the technical feasibility. In order to find available, lucrative phenotypes, an in-depth evaluation is required.

Authors: Matthias Löbe, Sebastian Stäubert, Colleen Goldberg, Ivonne Haffner, Alfred Winter

Date Published: 2018

Publication Type: Journal article

The Leipzig Health Atlas - A Research Data Repository utilizing i2b2 and tranSMART: Poster
Management of health information systems

Abstract

Not specified

Authors: Salma El-Oualydy, Matthias Löbe, Frank Meineke, Alfred Winter

Date Published: 2018

Publication Type: Misc

Technical Environment for Developing the SNIK Ontology of Information Management in Hospitals
Management of health information systems

Abstract (Expand)

The SNIK project converts textbooks about information management in hospitals to a domain ontology that provides a shared vocabulary for institutions to model and integrate processes, data and … infrastructure. To accommodate user groups with different requirements and technical backgrounds, and to support incremental and cooperative development, we create a system architecture to publish, visualize, browse and query the ontology, as well as to evaluate and improve the data quality.

Authors: Konrad Höffner, Franziska Jahn, Christian Kücherer, Barbara Paech, Birgit Schneider, Martin Schöbel, Sebastian Stäubert, Alfred Winter

Date Published: 2017

Publication Type: InCollection

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The Health Atlas - Local Data Hub/Leipzig is an alliance of medical ontologists, medical systems biologists and clinical trials groups to design and implement a multi-functional and quality-assured atlas. It provides models, data and metadata on specific use cases from medical research fields.

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