POLAR - Polypharmacy, Drug Interactions, Risks
OverviewThe overarching Use Case of the Medical Informatics Initiative (MI-I) „POLypharmacy, Drug interActions, Risks” aims to contribute to the detection of health risks in patients with polymedication using methods and processes from the MI-I.
The aim of the project is to use methods and processes of the Medical Informatics Initiative (MII) to contribute to the detection of health risks in patients with polypharmacy. Polypharmacy occurs especially in elderly patients with multimorbidity. Polypharmacy associated with an increased risk for medication errors and drug-drug or drug-disease interactions, which either reduce or intensify the desired effect of individual active substances or lead to undesired adverse drug effects (ADE). In the light of the aging population, potentially inappropriate medications (PIMs), which should be avoided in patients due to an unfavourable risk/benefit-ratio, represent an additional risk factor. Thus, POLAR focusses on the detection and prevention of medication-related problems in an interdisciplinary approach that creates a health IT infrastructure capable of supporting IT-based medication therapy safety across different health-IT consortia
Programme: MII - Medical Informatics Initiative
LHA ID: 83F28HCE9N-6
Public web page: https://www.medizininformatik-initiative.de/en/POLAR
Human Diseases: No Human Disease specified
Leipzig Health Atlas PALs: No PALs for this Project
Project Coordinators: Judith Schuster
Project created: 14th Aug 2020
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Allgemeine Testdaten POLAR
Submitter: Frank A. Meineke
Studies: FHIR Testdata
Resources: FHIR Testdata UKB, FHIR Testdata UKE, FHIR Testdata UKFAU, FHIR Testdata UKFR, FHIR Testdata UKSH
The test data
- are freely invented by clinical experts (manually, synthetically) and have no relation to real persons
- have been generated by a tool developed at the University of Leipzig from contributions of different expert groups out of a MS Excel format
- are available for free use as HL7® FHIR® bundles in json format;
- are suitable for direct transfer into a FHIR server
- correspond as far as possible to the core data set of the MII as of 9.11.2020
- however, already contain gaps or ...
Submitter: Frank A. Meineke
Investigation: Testdata
Resources: FHIR Testdata UKB, FHIR Testdata UKE, FHIR Testdata UKFAU, FHIR Testdata UKFR, FHIR Testdata UKSH
Study type: Not specified
Autoren bzw. Ansprechpartner für diesen Datensatz sind: Universitätsklinikum Schleswig-Holstein, Campus Kiel: Prof. Ingolf Cascorbi, Dr. Ruwen Böhm, Felix Rottmann, Dr. Claudia Bulin
Submitter: Frank A. Meineke
Resource type: Experimental Assay Type
Technology type: Technology Type
Investigation: Testdata
Study: FHIR Testdata
Autoren bzw. Ansprechpartner für diesen Datensatz sind: Universität Erlangen-Nürnberg: Prof. Fromm, Prof. Maas, Pauline Dürr, Melanie Then, Wahram Andrikyan
Submitter: Frank A. Meineke
Resource type: Experimental Assay Type
Technology type: Technology Type
Investigation: Testdata
Study: FHIR Testdata
Autoren bzw. Ansprechpartner für diesen Datensatz sind: Universität Freiburg: Thomas Maulhardt, Prof. Martin Boeker
Submitter: Frank A. Meineke
Resource type: Experimental Assay Type
Technology type: Technology Type
Investigation: Testdata
Study: FHIR Testdata
Autoren bzw. Ansprechpartner für diesen Datensatz sind: Universität Bonn: Anna Böhmer, Prof. Ulrich Jaehde Universitätsklinikum Bonn: Katharina Karsten Dafonte, Dr. med. Martin Coenen, Prof. Hartmann Bonn: Fr. Karsten Dafonte, Dr. med. Coenen, Prof. Hartmann
Submitter: Frank A. Meineke
Resource type: Experimental Assay Type
Technology type: Technology Type
Investigation: Testdata
Study: FHIR Testdata
Autoren bzw. Ansprechpartner für diesen Datensatz sind: Universitätsklinikum Hamburg-Eppendorf: Dr. Jan Gewehr, Dr. Friederike Salman, Yvonne Lemke, Norman Freier, Dr. Steffen Härterich
Submitter: Frank A. Meineke
Resource type: Experimental Assay Type
Technology type: Technology Type
Investigation: Testdata
Study: FHIR Testdata
HL7® FHIR® Ressourcen im JSON Format
DownloadHL7® FHIR® Ressourcen im JSON Format
HL7® FHIR® Ressourcen im JSON Format
HL7® FHIR® Ressourcen im JSON Format
HL7® FHIR® Ressourcen im JSON Format
https://orcid.org/0000-0001-8960-7316As head of the Data Integration Center at Jena University Hospital, Dr. Danny Ammon is active in the areas of standardization, processing and communication of medical documentation for healthcare and biomedical research.
Projects: POLAR - Polypharmacy, Drug Interactions, Risks
Institutions: Friedrich-Alexander Universität Erlangen-Nürnberg
Projects: POLAR - Polypharmacy, Drug Interactions, Risks
Institutions: University Medical Center Schleswig-Holstein
Projects: POLAR - Polypharmacy, Drug Interactions, Risks
Institutions: University Medical Center Schleswig-Holstein
Projects: POLAR - Polypharmacy, Drug Interactions, Risks
Institutions: Universität Bonn
Projects: POLAR - Polypharmacy, Drug Interactions, Risks
Institutions: University Medical Center Schleswig-Holstein
Projects: POLAR - Polypharmacy, Drug Interactions, Risks
Institutions: Universitätsklinikum Bonn, AöR
Projects: POLAR - Polypharmacy, Drug Interactions, Risks
Institutions: Friedrich-Alexander Universität Erlangen-Nürnberg
Projects: POLAR - Polypharmacy, Drug Interactions, Risks
Institutions: Universitätsklinikum Hamburg-Eppendorf (UKE)
The medical informatics initiative was created to close the gap between research and healthcare. All of Germany’s university hospitals have joined forces with research institutions, businesses, health insurers, and patient advocacy groups to create a framework that harnesses research findings to the direct benefit of patients. The German Federal Ministry of Education and Research (BMBF) is investing around 160 million euros in the programme through 2021. The digitisation of medicine is creating ...
Projects: SMITH - Smart Medical Information Technology for Healthcare, POLAR - Polypharmacy, Drug Interactions, Risks
