Alfred Winter

About Alfred Winter:

Acting Director of the Department for Medical Informatics, Statistics and Epidemiology at Leipzig University, chair of the "Management of Health Information Systems" lab.

LHA ID: 7WDQQD33EF-3

Location:  Germany

ORCID: https://orcid.org/0000-0003-0179-954X

Joined: 7th Oct 2024

Expertise: Not specified

Tools: Not specified

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Inclusion Health Informatics

“Inclusion health is a service, research, and policy agenda that aims to prevent and redress health and social inequities among the most vulnerable and excluded populations”. [1] Medical informatics shall help improving care for people pushed to the margins of society. We use the term “Inclusion Health Informatics” to identify this area of multidisciplinary research bringing together expertise from medical informatics, medicine, psychiatry, ethics, social work and other social sciences. Inclusion ...

Programme: Management von Gesundheitsinformationssystemen (MaGIS)

Public web page: Not specified

3LGM² Enterprise Architecture Modeling
No description specified

Programme: Management von Gesundheitsinformationssystemen (MaGIS)

Public web page: https://www.3lgm2.de/

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

MI-Lab Lerneinheiten
MI-Lab
No description specified

Submitter: Matthias Löbe

Studies: Lisa's liver tumor study, MI-Lab Übung 01 Annotierung, MI-Lab Übung 02 CSV-to-FHIR, MI-Lab Übung 03 Privacy, MI-Lab Übung 04 Local Data Hub, MI-Lab Übung 05 Datenanalyse, MI-Lab Übung 06 Datenqualitätsanalysen

Resources: Lisa's liver tumor dataset, MIMIC-IV Demo (Teilmenge in FHIR)

EHDS in 3LGM²
3LGM² Enterprise Architecture Modeling
No description specified

Submitter: Matthias Löbe

Studies: The European Health Data Space (EHDS) as 3LGM²-based enterprise architec...

Resources: model files, screenshots

FAIR4Health Information Architecture
FAIR4Health

Ressource related to the information architecture subsuming the central FAIR4Health Platform and the local FAIR4Health agents.

Submitter: Matthias Löbe

Studies: 3LGM² model for FAIR4Health

Resources: 3LGM² local model DIC Leipzig, 3LGM² model survey, 3LGM² reference model, Diagram inter-level relationships

The European Health Data Space (EHDS) as 3LGM²-based enterprise architecture model
3LGM² Enterprise Architecture Modeling

The model can be opened with the 3LGM² - Three-layer Graph-based meta modelling tool, a software to support the modelling of information systems in health care in strategic information management. See also the product page in ToolPool Gesundheitsforschung (in German).

Submitter: Matthias Löbe

Investigation: EHDS in 3LGM²

Resources: model files, screenshots

Study type: Not specified

screenshots
3LGM² Enterprise Architecture Modeling
No description specified

Submitter: Matthias Löbe

Biological problem addressed: Model Analysis Type

Investigation: EHDS in 3LGM²

Study: The European Health Data Space (EHDS) as 3LGM²-...

Aspects of FAIRness for Research Software Registries.
Student Thesis

Abstract (Expand)

Research software registries play an integral role in the process of making software findable, accessible, interoperable and reusable (FAIR). However, there are no guidelines available for FAIRifying … registries listing research software. Identifying applicable criteria is a necessary step to develop recommendations that apply to software registries and can later be utilized to measure and improve their FAIRness. Principles that relate to FAIR research software were mapped to granular metrics. Afterwards, registry-applicable aspects were selected and summarized. This resulted in 17 aspects directed at metadata listed in research software registries. Each aspect is expressed in three tables, allowing easy access to relevant information as well as resolvable references to previous works regarding FAIRification. These can be used to develop new, quantifiable metrics. They also provide a meaningful reference point when establishing or improving such registries, an increasingly relevant field in light of the upcoming international initiatives, such as the EOSC.

Authors: W. Herbst, C. Draeger, M. Perbix, A. Winter, M. Lobe

Date Published: 8th Apr 2025

Publication Type: Journal article

Implementation of a clinical trial recruitment support system based on fast healthcare interoperability resources (FHIR) in a cardiology department
SMITH - Smart Medical Information Technology for Healthcare

Abstract (Expand)

Clinical Trial Recruitment Support Systems can booster patient inclusion of clinical trials by automatically analyzing eligibility criteria based on electronic health records. However, missing … interoperability has hindered introduction of those systems on a broader scale. Therefore, our aim was to develop a recruitment support system based on FHIR R4 and evaluate its usage and features in a cardiology department. Clinical conditions, anamnesis, examinations, allergies, medication, laboratory data and echocardiography results were imported as FHIR resources. Clinical trial information, eligibility criteria and recruitment status were recorded using the appropriate FHIR resources without extensions. Eligibility criteria linked by the logical operation “OR” were represented by using multiple FHIR Group resources for enrollment. The system was able to identify 52 of 55 patients included in four clinical trials. In conclusion, use of FHIR for defining eligibility criteria of clinical trials may facilitate interoperability and allow automatic screening for eligible patients at multiple sites of different healthcare providers in the future. Upcoming changes in FHIR should allow easier description of “OR”-linked eligibility criteria.

Authors: Clemens Scherer, Stephan Endres, Martin Orban, Stefan Kääb, Steffen Massberg, Alfred Winter, Matthias Löbe

Date Published: 1st May 2022

Publication Type: Journal article

Health Informatics learning objectives on an interoperable, collaborative platform
SMITH - Smart Medical Information Technology for Healthcare

Abstract (Expand)

Catalogues of learning objectives for Biomedical and Health Informatics are relevant prerequisites for systematic and effective qualification. Catalogue management needs to integrate different catalogues … and support collaborative revisioning. The Health Informatics Learning Objectives Navigator (HI-LONa) offers an open, interoperable platform based on Semantic Web Technology. At present HI-LONa contains 983 learning objectives of three relevant catalogues. HI-LONa successfully supported a multiprofessional consensus process.

Authors: Cord Spreckelsen, Ulrike Schemmann, Lo An Phan-Vogtmann, André Scherag, Alfred Winter, Birgit Schneider

Date Published: 1st May 2021

Publication Type: Journal article

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

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: Matthias Löbe, Franz Matthies, Sebastian Stäubert, Frank A Meineke, Alfred Winter

Date Published: 1st 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

Towards customer-induced service orchestration - requirements for the next step of customer orientation
Management of health information systems

Abstract

Not specified

Authors: Rainer Alt, Jan Fabian Ehmke, Reinhold Haux, Tino Henke, Dirk Christian Mattfeld, Andreas Oberweis, Barbara Paech, Alfred Winter

Date Published: 1st Mar 2019

Publication Type: Journal article

3LGM² EHDS model file
3LGM² Enterprise Architecture Modeling

...to be opened and analysed by 3LGM² Tool (https://www.3lgm2.de/en/Tool/index.jsp )

Creator: Alfred Winter

Submitters: Sebastian Stäubert, Alfred Winter

Data file type: Not specified

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Health Atlas - Local Data Hub/Leipzig

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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