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Alfred Winter

About Alfred Winter:
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Health Atlas ID: 7WDQQD33EF-3

Location:  Germany

Expertise: Not specified

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ORCID: Not specified

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Management of health information systems

Aim of the project group "Management of health information systems" is to contribute to a better health care by developing new methods and tools to support the information management.

The project is also known as: MIG - Management von Informationssystemen im Gesundheitswesen

Programme: This Project is not associated with a Programme

Public web page: https://www.imise.uni-leipzig.de/en/Groups/MIG

NLP4CR - Natural Language Processing for Clinical Research

The NLP4CR project was initiated as part of Colleen Goldberg's master thesis. Medical information is not always available in a structured form, but as free text documentation. NLP techniques make it possible to analyse, annotate and extract these free texts. In this way, medical data can be made accessible for machine processing and for clinical research.

Programme: This Project is not associated with a Programme

Public web page: http://www.imise.uni-leipzig.de/Gruppen/MIG

Start date: 1st Jan 2015

Problems in FAIRifying Medical Datasets.
SMITH - Smart Medical Information Technology for Healthcare

Abstract (Expand)

Despite their young age, the FAIR principles are recognised as important guidelines for research data management. Their generic design, however, leaves much room for interpretation in domain-specific … application. Based on practical experience in the operation of a data repository, this article addresses problems in FAIR provisioning of medical data for research purposes in the use case of the Leipzig Health Atlas project and shows necessary future developments.

Authors: M. Lobe, F. Matthies, S. Staubert, F. A. Meineke, A. Winter

Date Published: 16th Jun 2020

Publication Type: Journal article

Professionalism of Information Management in Health Care: Development and Validation of the Construct and Its Measurement
Management of health information systems

Abstract (Expand)

BACKGROUND Against the background of a steadily increasing degree of digitalization in health care, a professional information management (IM) is required to successfully plan, implement, and evaluate …e information technology (IT). At its core, IM has to ensure a high quality of health data and health information systems to support patient care. OBJECTIVES The goal of the present study was to define what constitutes professional IM as a construct as well as to propose a reliable and valid measurement instrument. METHODS To develop and validate the construct of professionalism of information management (PIM) and its measurement, a stepwise approach followed an established procedure from information systems and behavioral research. The procedure included an analysis of the pertaining literature and expert rounds on the construct and the instrument, two consecutive and comprehensive surveys at the national and international level, exploratory and confirmatory factor analyses as well as reliability and validity testing. RESULTS Professionalism of information management was developed as a construct consisting of the three dimensions of strategic, tactical, and operational IM as well as of the regularity and cyclical phases of IM procedures as the two elements of professionalism. The PIM instrument operationalized the construct providing items that incorporated IM procedures along the three dimensions and cyclical phases. These procedures had to be evaluated against their degree of regularity in the instrument. The instrument proved to be reliable and valid in two consecutive measurement phases and across three countries. CONCLUSION It can be concluded that professionalism of information management is a meaningful construct that can be operationalized in a scientifically rigorous manner. Both science and practice can benefit from these developments in terms of improved self-assessment, benchmarking capabilities, and eventually, obtaining a better understanding of health IT maturity.

Authors: Johannes Thye, Moritz Esdar, Jan-David Liebe, Franziska Jahn, Alfred Winter, Ursula Hübner

Date Published: 2020

Publication Type: Journal article

Use of Natural Language Processing for Precise Retrieval of Key Elements of Health IT Evaluation Studies
Management of health information systems

Abstract (Expand)

Having precise information about health IT evaluation studies is important for evidence-based decisions in medical informatics. In a former feasibility study, we used a faceted search based on ontological … modeling of key elements of studies to retrieve precisely described health IT evaluation studies. However, extracting the key elements manually for the modeling of the ontology was time and resource-intensive. We now aimed at applying natural language processing to substitute manual data extraction by automatic data extraction. Four methods (Named Entity Recognition, Bag-of-Words, Term-Frequency-Inverse-Document-Frequency, and Latent Dirichlet Allocation Topic Modeling were applied to 24 health IT evaluation studies. We evaluated which of these methods was best suited for extracting key elements of each study. As gold standard, we used results from manual extraction. As a result, Named Entity Recognition is promising but needs to be adapted to the existing study context. After the adaption, key elements of studies could be collected in a more feasible, time- and resource-saving way.

Authors: Verena Dornauer, Franziska Jahn, Konrad Hoeffner, Alfred Winter, Elske Ammenwerth

Date Published: 2020

Publication Type: Journal article

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

Design of Metadata Services for Clinical Data Interoperability in Germany.
SMITH - Smart Medical Information Technology for Healthcare

Abstract (Expand)

Secondary use of electronic health record (EHR) data requires a detailed description of metadata, especially when data collection and data re-use are organizationally and technically far apart. This … paper describes the concept of the SMITH consortium that includes conventions, processes, and tools for describing and managing metadata using common standards for semantic interoperability. It deals in particular with the chain of processing steps of data from existing information systems and provides an overview of the planned use of metadata, medical terminologies, and semantic services in the consortium.

Authors: M. Lobe, O. Beyan, S. Staubert, F. Meineke, D. Ammon, A. Winter, S. Decker, M. Loffler, T. Kirsten

Date Published: 21st Aug 2019

Publication Type: Journal article

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