Publications

Released Publications (Status: 01/2024):

2024

Hahn U, Modersohn L, Faller J, Lohr C. 2024: 310. Final Report on the German Clinical Reference Corpus 3000PA. Studies in Health Technology and Informatics. DOI: 10.3233/SHTI231035 Diagnosis Support., diagnostics. 2023; 13(3):391. DOI: 10.3390/diagnostics13030391.

Modersohn L, Hahn U. 2024: 310. Influence of Context in Transformer-Based Medication Relation Extraction. Studies in Health Technology and Informatics. DOI: 10.3233/SHTI231049.

2023

Barakat C, Aach M, Schuppert A, Brynjólfsson S, Fritsch S, Riedel M., Analysis of Chest X-ray for COVID-19 Diagnosis as a Use Case for an HPC-Enabled Data Analysis and Machine Learning Platform for Medical Diagnosis Support., diagnostics. 2023; 13(3):391. DOI: 10.3390/diagnostics13030391.

Barakat CS, Sharafutdinov K, Busch J, Saffaran S, Bates DG, Hardman JG, Schuppert A, Brynjólfsson S, Fritsch S, Riedel M. Developing an Artificial Intelligence-Based Representation of a Virtual Patient Model for Real-Time Diagnosis of Acute Respiratory Distress Syndrome. Diagnostics (Basel). 2023 Jun 17;13(12):2098. doi: 10.3390/diagnostics13122098. PMID: 37370993.

Beger C, Boehmer AM, Mussawy B, Redeker L, Matthias F, Schäfermeier R, Härdtlein A, Dreischulte T, Neumann D, Uciteli A. 2023 307. Modelling Adverse Events with the TOP Phenotyping Framework. German Medical Data Sciences 2023. DOI: 10.3233/SHTI230695

Beger C, Matthies F, Schäfermeister R, Uciteli A. 2023 . Model-driven execution of phenotype algorithms – introduction of the Terminology- and Ontology-based Phenotyping Framework. GMS Medizinische Informatik, Biometrie und Epidemiologie. DOI: 10.3205/mibe000256

Draeger C, Stäubert S, Kuntz A, Henke C, Winter A, Sax U, Löbe M. 2023 309. Modeling the Application of IHE QRPH Profiles in Data Integratoin Centers: A Practical Approach with 3LGM2. Studies in Health Technology and Informatics. DOI: 10.3233/SHTI230755

Erdfelder F, Begerau H, Meyers D, Quast KJ, Schumacher D, Brieden T, Ihle R, Ammon D, Kruse HM, Zenker S, Enhancing Data Protection via Auditable Informational Separation of Powers Between Workflow Engine Based Agents: Conceptualization, Implementation, and First Cross-Institutional Experiences., Studies in Health Technology and Informatics. 2023; 302:317-321. DOI: 10.3233/SHTI230126.

Festag S, Spreckelsen C, Medical multivariate time series imputation and forecasting based on a recurrent conditional Wasserstein GAN and attention. Journal of Biomedical Informatics. 2023; 139:104320. DOI: 10.1016/j.jbi.2023.104320.

Kolditz T, Lohr C, Moderohn L, Hahn U., Annotationsleitlinien für deutschsprachige Medizintexte. Teil 2: Annotation von personenidentifizierenden (PHI-)Attributen. Zenodo. 2023. DOI: 10.5281/zenodo.7707882.

Lohr C, Kolditz T, Modersohn L, Hellrich J, Hahn U., Annotationsleitlinien für deutschsprachige Medizintexte. Teil 3: Annotation von Basis-Entitäten: Diagnosen, Befunde und Symptome. Zenodo. 2023. DOI: 10.5281/zenodo.7707916.

Lohr C, Luther S, Ammon D, Saleh K, Modersohn L, Hahn U., Annotationsleitlinien für deutschsprachige Medizintexte. Teil 1: Annotation von inhaltlich kohärenten Textabschnitten (Sektionen). Zenodo. 2023. DOI: 10.5281/zenodo.7707756.

Matthies F, Beger C, Schäfermeier R, Uciteli A. 2023 307. Concept Graphs: A Novel Approach for Textual Analysis of Medical Documents. German Medical Data Sciences 2023. DOI: 10.3233/SHTI230710

Matthies F, Lohr C, Modersohn L, Hahn U., Annotationsleitlinien für deutschsprachige Medizintexte. Teil 4: Annotation von Medikationsangaben. Zenodo. 2023. DOI: 10.5281/zenodo.7707946.

Matthies F, Neumann D. 2023. Struktursuche in pharmazeutischen Fachinformationen zur maschinenlesbaren Abbildung von AMTS-relevanten Informationen. SMITH Science Day 2022. DOI: 10.3205/22smith26

Meineke FA, Modersohn L, Löffler M, Böker M. 2023 302835-836. Announcement of the German Medical Text Corpus Project. Studies in Health Technology and Informatics. DOI: 10.3233/SHTI230283

Molinnus D, Kurth A, Lowitsch V, Marx G, Bickenbach J. 2023 302366-367. Towards an Advanced Digital Infrastructure Within the Non-University Sector Demonstrated by the PICOS App. Studies in Health Technology and Informatics. DOI: 10.3233/SHTI230143

Neumann D, Böhmer A. 2023. Patient Journey Modeling zur menschen- und maschinenlesbaren Operationalisierung unerwünschter arzneimittelbezogener Ereignisse am Beispiel des unerwünschten Ereignisses gastrointestinale Blutung. SMITH Science Day 2022. DOI: 10.3205/22smith25

Neumann D, Thalheim T, Kesselmeier M, Andrikyan W, Farker K, Weisbah L, Schuster AK, Karsten Dafonte K, Böhmer A, Then MI, Maas R, Fromm MF, Scherag A, Löffler M. 2023. POLAR Plausibilisierungskampagne – technischer Test. SMITH Science Day 2022. DOI: 10.3205/22smith31

Palm J, Meineke F, Przybilla J, Peschel T., fhircrackr: An R package unlocking Fast Healthcare Interoperability Resources for statistical analysis, Applied Clinical Inform. 2023; 14:54-64. DOI: 10.1055/s-0042-1760436.

Puladi B, Ooms M, Rieg A, Taubert M, Rashad A, Hölzle F, Röhrig R, Modabber A. Development of machine learning and multivariable models for predicting blood transfusion in head and neck microvascular reconstruction for risk-stratified patient blood management. Head Neck. 2023 Apr 18. doi: 10.1002/hed.27353. Epub ahead of print. PMID: 37070282.

Rohde F, Franke M, Christen V, Rahm E., Value-specific Weighting for Record-level Encodings in Privacy-Preserving Record Linkage., In: König-Ries B, Scherzinger S, Lehner W & Vossen G (Hrsg.), BTW 2023, Gesellschaft für Informatik e. V.; 439. DOI: 10.18420/BTW2023-21.

Schumann A, Gaser C, Sabeghi R, Schulze PC, Festag S, Spreckelsen C, Bär KJ. Using machine learning to estimate the calendar age based on autonomic cardiovascular function. Front Aging Neurosci. 2023 Jan 23;14:899249. doi: 10.3389/fnagi.2022.899249.

Siziba LP, Baier C, Pütz E, Ascherl R, Wendt T, Thome UH, Gebauer C, Genuneit J. 2023 10. A descriptive analysis of human milk dispensed by the Leipzig Donor Human Milk Bank for neonates between 2012 and 2019. Frontiers in Nutrition. DOI: 10.3389/fnut.2023.1233109

Thalheim T, Neumann D, Kesselmeier M, Peschel T, Palm J, Meineke f, Schmidt F, Böhmer A, Scherag A, Löffler M. 2023. Die POLAR ETL – ein wegweisender Hürdenlauf vom Idealkonzept zur realen Auswertung. SMITH Science Day 2022. DOI: 10.3205/22smith32

Welle F, Stoll K, Gillmann C, Henkelmann J, Prasse G, Kaiser DPO, Kellner E, Reisert M, Schneider HR, Klingbeil J, Stockert A, Lobsien D, Hoffmann KT, Saur D, Wawrzyniak M. Tissue Outcome Prediction in Patients with Proximal Vessel Occlusion and Mechanical Thrombectomy Using Logistic Models. Translational Stroke Research. 2023. doi: 10.1007/s12975-023-01160-6

2022

Ahrens P, Steinbach D, Schmidt M, Federbusch M, Heuft L, Lübbert M, Gründling M, Isermann B, Gibb S, Kaiser T., Applying Machine Learning to Blood Count Data Predicts Sepsis with ICU Admission., MedRxiv. 2021. DOI: 10.1101/2022.10.21.22281348.

Andrikyan W, Jung-Poppe L, Altenbuchner A, Nicolaus HF, Pfisterseister B, Dormann H, Fromm MF, Maas R. Documentation of Drug-Related Problems with ICD-11: Application of the New WHO Code-Set to Clinical Routine Data. J Clin Med. 2022 Dec 31;12(1):315. DOI: 10.3390/jcm12010315. PMID: 36615115; PMCID: PMC9821018.

Andrikyan W, Then MI, Gaßmann KG, Tümena T, Dürr P, Fromm MF, Maas R. Use of medication data alone to identify diagnoses and related contraindications: Application of algorithms to close a common documentation gap. Br J Clin Pharmacol. 2022 Dec;88(12)::5399-5411. DOI: 10.1111/bcp.15469. Epub 2022 Aug 8. PMID: 35877931.

Arnold N, Ascherl RG, Thome UH., Charts and LMS Tables of Transfontanellar and Transvertical Ear-to-Ear Distances for Gestational Age, Front Pediatr. 2022; 10:838333. DOI: 10.3389/fped.2022.838333

Beger C, Matthies F, Schäfermeier R, Kirsten T, Herre H, Uciteli A., Towards an Ontology-Based Phenotypic Query Model., Appl. Sci. 2022; 12(10): 5210; DOI: 10.3390/app12105214.

Bialke M, Geidel L, Hampf C, Blumentritt A, Penndorf P, Schuldt R, Moser FM, Lang S, Werner P, Stäubert S, Hund H, Albashiti F, Gührer J, Prokosch HU, Bahls T, Hoffmann W., A FHIR has been lit on gICS: facilitating the standardised exchange of informed consent in a large network of university medicine., BMC Medical Informatics and Decision Making, 2022; 22(1):335; DOI: 10.1168/s12911-022-02081-4

Boeker M, Konhäuser Ph, Krefting D, Winter A: Die digitalen Kompetenzen für die Transformation des Gesundheitswesens. Ansätze und Lösungen der Medizininformatik Initiative (MII). Forum der Medizin-Dokumentation und Medizin-Informatik (mdi), 1_2022 (24), p.26-30.

Borchert F, Lohr C, Modersohn L, Witt J, Langer T, Follmann M, Gietzelt M, Arnrich B, Hahn U, Schapranow MP. GGPONC 2.0 – The German Clinical Guideline Corpus for Oncology: Curation Workflow, Annotation Policy, Baseline NER Taggers, LREC 2022, 2022, p. 3650-3660, http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.389.pdf

Bott O, Spreckelsen C, Themenheft “Künstliche Intelligenz in der Medizin“ – Editorial. Forum der Medizin-Dokumentation und Medizin-Informatik (mdi), 2022

Festag S, Denzler J, Spreckelsen C, Generative adversarial networks for biomedical time series forecasting and imputation, Journal of Biomedical Informatics, 2022, 129, DOI: 10.1016/j.jbi.2022.104058

Festag S, Stein G, Büchner T, Shadaydeh M, Denzler J, Spreckelsen C, Outcome Prediction and Murmur Detection in Sets of Phonocardiograms by a Deep Learning-Based Ensemble Approach, Konferenzbeitrag “Computing in Cardiology 2022

Fortmann J, Lutz M, Spreckelsen C, System for Context-Specific Visualization of Clinical Practice Guidelines (GuLiNav): Concept and Software Implementation, JMIR Form Res. 2022; 6(6): e28013, DOI: 10.2196/28013

Fritsch SJ, Blankenheim A, Wahl A, Hetfeld P, Maassen O, Deffge S, Kunze J, Rossaint R, Riedel M, Marx G, Bickenbach J, Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients, Digital Health, 2022, 8, 1-16, DOI: 10.1177/20552076221116772

Haerdtlein A, Boehmer AM, Karsten Dafonte K, Rottenkolber M, Jaehde U, Dreischulte T. Prioritisation of Adverse Drug Events Leading to Hospital Admission and Occurring during Hospitalisation: A RAND Survey. J Clin Med. 2022 Jul 22;11(15):4254. DOI: 10.3390/jcm11154254. PMID: 35893345; PMCID: PMC9332872.

Klötgen M, Lauf F, Stäubert S, Meister S, Ammon D, A Trusted Data Sharing Environment based on FAIR Principles and Distributed Process Execution.  In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies – 2022, Volume 5: HEALTHINF, ISBN 978-989-758-552-4, ISSN 2184-4305, pages 583-589. DOI: 10.5220/0010869800003123

Lang S, Bialke M, Geidel L, Stäubert S, Ammon D, Idris T, Merzweiler A, Römhild J, Neuer nationaler Standard für Patienteneinwilligungen auf Basis von HL7 FHIR. E-HEALTH-COM: Magazin für Health-IT, vernetzte Medizintechnik und Telemedizin 17, 2022;

Löbe M, Kamdje-Wabo G, Sinza AC, Spengler H, Strobel M, Tute E., Towards Harmonized Data Quality in the Medical Informatics Initiative – Current State and Future Directions., Stud Health Technol Inform. 2022; 289:240-243. DOI: 10.3233/SHTI210904.

Medenwald D, Brunner T, Christiansen H, Kisser U, Mansoorian S, Vordermark D, Prokosch HU, Seuchter SA, Kapsner LA; our MII research group., Shift of radiotherapy use during the first wave of the COVID-19 pandemic? An analysis of German inpatient data. Strahlenther Onkol. 2022; 1-12. DOI: 10.1007/s00066-021-01883-1.

Modersohn L, Schulz S, Lohr C, Hahn U, GRASCCO — The First Publicly Shareable, Multiply-Alienated German Clinical Text Corpus, SHTI 2022, 296; 66-72, DOI: 10.3233/SHTI220805

Palm J, Meineke FA, Przybilla J, Peschel T. “fhircrackr”: An R Package Unlocking Fast Healthcare Interoperability Resources for Statistical Analysis. Appl Clin Inform. 2023 Jan;14(1):54-64. DOI: 10.1055/s-0042-1760436. Epub 2023 Jan 25. PMID: 36696915; PMCID: PMC9876659.

Schemmann U, Schneider B, Phan-Vogtmann LA, Schäfer D, Scherag A, Spreckelsen C, Winter A: Lernziel- und Kompetenzkataloge für die Aus-, Fort- und Weiterbildung in der Medizinischen Informatik und verwandten Fächern: Forum der Medizin-Dokumentation und Medizin-Informatik (mdi), 1_2022 (24), p. 31-35.

Scherag, A, Andrikyan, W, Dreischulte T et al, POLAR – „POLypharmazie, Arzneimittelwechselwirkungen und Risiken“ – wie können Daten aus der stationären Krankenversorgung zur Beurteilung beitragen?, Präv Gesundheitsf, 2022. DOI: 10.1007/s11553-022-00976-8

Scherer C, Endres S, Orban M, Kääb S, Massberg S, Winter A, Löbe M, Implementation of a Clinical Trial Recruitment Support System Based on Fast Healthcare Interoperability Resources (FHIR) in a Cardiology Department, Stud Health Technol Inform, 2022;  294:440-444. DOI: 10.3233/SHTI220497

Schilling M, Rickmann L, Hutschenreuter G, Spreckelsen C, Reduction of Platelet Outdating and Shortage by Forecasting Demand With Statistical Learning and Deep Neural Networks: Modeling Study., JMIR Medical Informatics, 2022; DOI: 10.2196/29978

Sharafutdinov K, Bhat JS, Fritsch SJ, Nikulina K, Samadi ME, Polzin R, Mayer H, Marx G, Bickenbach J, Schuppert A., Application of convex hull analysis for the evaluation of data heterogeneity between patient populations of different origin and implications of hospital bias in downstream machine-learning-based data processing: A comparison of 4 critical-care patient datasets., Frontiers in Big Data, 2022, 5:603429; DOI: 10.3389/fdata.2022.603429.

Spreckelsen C, Boeker M, Schuppert A, Varghese J, Semler S, Künstliche Intelligenz in der Medizininformatik-Initiative. Forum der Medizin-Dokumentation und Medizin-Informatik (mdi), 2022;

Then MI, Andrikyan W, Fromm MF, Maas R. Comprehensibility of Contraindications in German, UK and US Summaries of Product Characteristics/Prescribing Information – A Comparative Qualitative and Quantitative Analysis. J Clin Med. 2022 Jul 18;11(14):4167. DOI: 10.3390/jcm11144167. PMID: 35887930; PMCID: PMC9316253.

Then MI, Andrikyan W, Maas R, Fromm MF. The CredibleMeds® list: Usage of QT interval prolonging drugs in Germany and discordances with prescribing information. Br J Clin Pharmacol. 2022 Jan;88(1):226-236. DOI: 10.1111/bcp.14591. Epub 2021 Jul 13. PMID: 34156728.

Weisbach L, Schuster AK, Hartmann M, Fromm MF, Maas R, Farker K. Inconsistencies and Ambiguities in Liver-Disease-Related Contraindications – A Systematic Analysis of SmPCs/PI of Major Drug Markets. J Clin Med. 2022 Mar 30;11(7):1933. DOI: 10.3390/jcm11071933. PMID: 35407541; PMCID: PMC9000103.

Welten S, Mou Y, Neumann L, Jaberansary M, Yediel Ucer Y, Kirsten T, Decker S, Beyan O., A Privacy-Preserving Distributed Analytics Platform for Health Care Data., Methods Inf Med. 2022; DOI: 10.1055/s-0041-1740564.

Welten S, Hempel L, Abedi M, Mou Y, Jaberansary M, Neumann L, Weber S, Tahar K, Ucer Yediel Y, Löbe M, Decker S, Beyan O, Kirsten T, Multi-Institutional Breast Cancer Detection Using a Secure On-Boarding Service for Distributed Analytics, Appl. Sci. 2022, 12(9), 4336;               DOI: 10.3390/app12094336

Zenker S, Strech D, Ihrig K, Jahns R, Müller G, Schickhardt C, Schmidt G, Speer R, Winkler E, von Kielmansegg SG, Drepper J., Data protection-compliant broad consent for secondary use of health care data and human biosamples for (bio)medical research: Towards a new German national standard., J Biomed Inform. 2022; 131:104096. DOI: 10.1016/j.jbi.2022.104096

Konsortium Smart Medical Information Technology for Healthcare (SMITH; Herausgeber), Science Day 2022: Abstractbook | 23.11.2022, Abstracts der Poster und Kurzvorträge, 2022; smith.care/wp-content/uploads/2022/11/RZ_SMITH-science-day_abstracts_book_

2021

Fonck S, Fritsch S, Kowalewski S, Hensen R, Stollenwerk A, Algorithmic distinction of ARDS and Heart Failure in ICU data from medical embedded systems by using a computer mode,4th CESCIT 2021 Conference, 2021, DOI: https://doi.org/10.5281/zenodo.4889873

Klötgen M, Fiege E, Houta S, Concept and Implementation of Data Usage Proposal Process Based on International Standards in SMITH, Stud Health Technol Inform 2021; 278:171-179. DOI: 10.3233/SHTI210066.

Kruse HM, Helhorn A, Phan-Vogtmann LA, Palm J, Thomas E, Iffland A, Heidel A, Müller S, Saleh K, Krohn K, Specht M, Hartmann M, Farker K, Spreckelsen C, Henkel A, Scherag A, Ammon D. Integration of allergy documentation into an interoperable archiving and communication platform to improve patient care and clinical research at the Jena University Hospital, GMS Med Inform Biom Epidemiol 2021; 17(2): DOI: 10.3205/mibe000220

Lohr C, Eder E, Hahn U: Pseudonymization of PHI Items in German Clinical Reports. In: Studies in Health Technology and Informatics, Vol. 281: Public Health and Informatics – Proceedings of MIE 2021, PMID: 34042748, DOI:10.3233/SHTI210163

Maassen O, Fritsch S, Palm J, Deffge S, Kunze J, Marx G, Riedel M, Schuppert A, Bickenbach J (2021) Future Medical Artificial Intelligence Application Requirements and Expectations of Physicians in German University Hospitals: Web-Based Survey. J Med Internet Res. 2021;23(3): e26646. DOI: 10.2196/26646

Marx G, Bickenbach J, Fritsch SJ, Kunze JB, Maassen O, Deffge S, Kistermann J, Haferkamp S, Lutz I, Voellm NK Lowitsch V, Polzin R, Sharafutdinov K, Mayer H, Kuepfer L, Burghaus R, Schmitt W, Lippert J, Riedel M, Barakat C, Stollenwerk A, Fonck S, Putensen C, Zenker S, Erdfelder F, Grigutsch D, Kram R, Beyer S, Kampe K, Gewehr JK, Salman F, Juers P, Kluge S, Tiller D, Wisotzki E, Gross S, Homeister L,

Bloos F, Scherag A, Ammon D, Mueller S, Palm J, Simon P, Jahn N, Loeffler M, Wendt T, Schuerholz T, Groeber P, Schuppert A, Algorithmic surveillance of ICU patients with acute respiratory distress syndrome (ASIC): protocol for a multicentre stepped-wedge cluster randomised quality improvement strategy, BMJ Open. 2021; 11(4): e045589. DOI: 10.1136/bmjopen-2020-045589

Nies AT, König J, Hofmann U, Kölz C, Fromm MF, Schwab M. Interaction of Remdesivir with Clinically Relevant Hepatic Drug Uptake Transorters. Pharmaceutics. 2021 Mar 10;12(3):369. DOI: 10.3390/pharmaceutics130369. PMID: 33802215; PMCID: PMC7999182.

Reimer N, Unberath P, Busch H, Börries M, Metzger P, Ustjanzew A ,Renner C, Prokosch HU, Christoph J. Challenges and Experiences extending the cBioPortal for Cancer Genomics to a MolecularTumor Board Platform. Stud Health Technol Inform 2021, 287: 139-143, DOI: 10.3233/SHTI210833

Schulz S, Fix S, Klügl P, Bachmayer T, Hartz T, Richter M, Herm-Stapelberg N, Daumke P, Comparative evaluation of automated information extraction from pathology reports in three German cancer registries, GMS Med Inform Biom Epidemiol 2021; 17(1):Doc01 (20210331), DOI: 10.3205/mibe000215

Spreckelsen C, Schemmann U, Phan-Vogtmann LA, Scherag A, Winter A, Schneider B., Health Informatics Learning Objectives on an Interoperable, Collaborative Platform. Stud Health Technol Inform. 2021; 281:1019-1020. DOI: 10.3233/SHTI210335.

Uciteli A, Beger C, Wagner J, Kirsten T, Meineke FA, Stäubert S, Löbe M, Herre H, Ontological modelling and FHIR Search based representation of basic eligibility criteria, GMS Med Inform Biom Epidemiol 2021;17(2): DOI: 10.3205/mibe000219

Uciteli A, Beger C, Wagner J, Kiel A, Meineke FA, Stäubert S, Löbe M, Hänsel R, Schuster J, Kirsten T, Herre H , Ontological Modelling and Execution of Phenotypic Queries in the Leipzig Health Atlas, Stud Health Technol Inform, 2021; 278:66-74. DOI: 10.3233/SHTI210052.

2020

Bild R, Bialke M, Buckow K, Ganslandt T, Ihrig K, Jahns R, Merzweiler A, Roschka S, Schreiweis B, Stäubert S, Zenker S, Prasser F, Towards a comprehensive and interoperable representation of consent-based data usage permissions in the German medical informatics initiative, BMC Med Inform Decis Mak. 2020; 20: 103; DOI: 10.1186/s12911-020-01138-6

Borchert F, Lohr C, Modersohn L, Langer T, Follmann M, Sachs JP, Hahn U, Schapranow MP, GGPONC: A Corpus of German Medical Text with Rich Metadata Based on Clinical Practice Guidelines, Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis, 2020, pages 38-48, https://www.aclweb.org/anthology/2020.louhi-1.5/

Faessler E, Modersohn L, Lohr C, Hahn U: Progene – A Large-scale, High-Quality Protein-Gene Annotated Benchmark Corpus. Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) pages 4587-4598, Marseille, 11-16 May 2020, http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.564.pdf

Faessler E, Oleynik M, Hahn U, What Makes a Top-Performing Precision Medicine Search Engine? Tracing Main System Features in a Systematic Way, InProceedings of the 43rd International ACM SIGIRConference on Research and Development in Information Retrieval (SIGIR ’20),July 25–30, 2020, Virtual Event, Xi’an, China.ACM, New York, NY, USA,10 pages, DOI: 10.1145/3397271.3401048

Gleim LC, Karim MR, Zimmermann L, Kohlbacher O, Stenzhorn H, Decker S, Beyan O, Enabling ad-hoc reuse of private data repositories through schema extraction,. Journal of Biomedical Semantics 11(6), 2020, DOI:10.1186/s13326-020-00223-z

Hagel S, Gantner J, Spreckelsen C, Fischer C, Ammon D, Saleh K, Phan-Vogtmann LA, Heidel A, Müller S, Helhorn A, Kruse HM, Thomas E, Rißner4 F, Haferkamp S, Vorwerk J, Deffge S, Juzek-Küpper MF, Lippmann N, Lübbert C, Trawinski H, Wendt S, Wendt T, Dürschmid A, Konik M, Moritz S, Tiller D, Röhrig R, Pletz M, Scherag A: A hospital-wide electronic medical record-based computerized decision support system to improve outcomes of patients with staphylococcal bloodstream infection (HELP). Study protocol for a multicenter stepped-wedge cluster randomized trial. BMJ Open 2020;10(2):e033391. DOI:10.1136/bmjopen-2019-033391

Hahn U, Oleynik M, Medical Information Extraction in the Age of Deep Learning, Yearb Med Inform. 2020 Aug; 29(1): 208–220, 2020, DOI: 10.1055/s-0040-1702001

Kesselmeier M, Benda N, Scherag A, Effect size estimates from umbrella designs: Handling patients with a positive test result for multiple biomarkers using random or pragmatic subtrial allocation, PLoS One. 2020; 15(8): e0237441, 2020, DOI: 10.1371/journal.pone.0237441

Klingner CM, Ritter P, Brodoehl S, Gaser C, Scherag A, Güllmar D, Rosenow F, Ziemann U, Witte OW, Research data management in clinical neuroscience: the national research data infrastructure initiative, Neuroforum 2020, DOI:10.1515/nf-2020-0039

Kunze J, Fritsch S, Peine A, Maaßen O, Marx G, Bickenbach J, Management of ARDS: From ventilation strategies to intelligent technical support – Connection the dots, J Trend in Anaesthesia and Critical Care; 2020; DOI: 10.1016/j.tacc.2020.05.005

Löbe M, Matthies F, Stäubert S, Meineke FA, Winter A, Problems in FAIRifying Medical Datasets, Stud Health Technol Inform 2020;270:392-396. DOI: 3233/SHTI200189

Lohr C, Modersohn L, Hellrich J, Kolditz T, Hahn U, An Evolutionary Approach to the Annotation of Discharge Summaries, Studies in Health Technology and Informatics, 2020, Ebook: Volume 270: Digital Personalized Health and Medicine, 28-32, DOI: 10.3233/SHTI200116

Maassen O, Fritsch S, Gantner J, Saskia Deffge S, Kunze J, Marx G, Bickenbach J, Future Mobile Device Usage, Requirements, and Expectations of Physicians in German University Hospitals: Web-Based Survey, J Med Internet Res, 2020;22(12):e23955. DOI: 10.2196/23955.

Marx G, Fritsch S, Bickenbach J, Kunze J, Maaßen O, Deffge S, Haferkamp S, Schuppert A, big data und smartphones auf der intensivstation, Wie Smartphone und Künstliche Intelligenz dabei helfen,beatmete Patienten zu behandeln, gesundhyte.de, 2020, Ausgabe 13, 30-33

Sadik A, Patterson LFS, Öztürk S, Mohapatra SR, Panitz V, Secker FS, Pfänder P, Loth S, Salem H, Prentzell MT, Berdel B, Iskar M, Faessler E, Reuter F, Kirst I, Kalter V, Foerster KI, Jäger E, Guevara CR, Sobeh M, Hielscher T, Poschet G, Reinhardt A, Hassel JC, Zapatka M, Hahn U, von Deimling A, Hopf C, Schlichting R, Escher BI, Burhenne J, Haefeli WE, Ishaque N, Böhme A, Schäuble S, Thedieck K, Trump S, Seiffert M, Opitz CA, IL4I1 Is a Metabolic Immune Checkpoint that Activates the AHR and Promotes Tumor Progression, CELL, 182(5), 2020, 1252-1270.e34, DOI:10.1016/j.cell.2020.07.038

Schemmann U, Schneider B, Phan-Vogtmann LA, Müller S, Spreckelsen C. Agiles Lernziel- management mit dem Health Informatics-Learning Objective Navigator (HI-LONa). Jahrestagung der Gesellschaft für Medizinische Ausbildung (GMA) Zürich, 09.-12.09.2020, DOI: 10.3205/20gma065

Schneider B, Schemmann U, Phan-Vogtmann LA, Kropf S, Spreckelsen C, Health Informatics-Learning Objektiv Navigator (HI-LONa) – eine Open-Access-Plattform für ein agiles Lernzielmanagement, GMDS Meeting 06.-09.09.2020, DOI:10.3205/20gmds164

Schreiweis B, Ammon D, Sedlmayr M, Albashiti F, Wendt T; Datenintegrationszentrum – Drehscheibe für Daten in der medizinischen Forschung und Versorgung: Datenintegration und ihre Voraussetzungen. In: gesundhyte.de: das Magazin für Digitale Gesundheit in Deutschland 11 (2020), Nr. 13, S. 84–87, ISSN: 2702-2544

Uciteli A, Beger C, Kirsten T, Meineke FA, Herre H, Ontological representation, classification and data-driven computing of phenotypes, J of Biomedical Semantics, 2020, 11(15), DOI:10.1186/s13326-020-00230-0

2019

Ammon D, Bietenbeck A, Boeker M, Ganslandt T, Heckmann S, Heitmann K, Sax U, Schepers J, Semler SC, Thun S, Zautke S,: Der Kerndatensatz der Medizininformatik-Initiative – Interoperable Spezifikation am Beispiel der Laborbefunde mittels LOINC und FHIR. Forum der Medizin-Dokumentation und Medizin-Informatik (mdi), 2019. 4(21): p. 113-117.

Buckow K, Ammon D, Bild R, Boeker M, Ganslandt T, Haarbrandt B, Haferkamp S, Sax U, Schepers J, Schreiweis B, Stenzhorn H: Interoperabilität – Konvergenz unterschiedlicher Informationsmodelle. Forum der Medizin-Dokumentation und Medizin-Informatik (mdi), 2019. 4(21): p. 110-112.

Heberle AM ,Razquin Navas P, Langelaar-Makkinje M, Kasack K, Sadik A, Faessler E, Hahn U, Marx-Stoelting P, Opitz CA, Sers C, Heiland I, Schäuble S, Thedieck K, The PI3K and MAPK/p38 pathways control stress granule assembly in a hierarchical manner In: Life Science Alliance, Vol.2, No.2, e201800257, PMID: 30923191, DOI:10.26508/lsa.201800257

Helhorn A, Saleh K, Kruse H M, Phan-Vogtmann LA, Thomas E, Heidel A J, Scherag A, Ammon D (2019). Abgleich technischer Spezifikationen bei der Datentransformation proprietärer Formate in den Interoperabilitätsstandard HL7 FHIR. 64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS), Dortmund, 8–11 September 2019. DOI: 10.3205/19gmds155 (Poster PDF)

Hellrich J, Kampe B, Hahn U (2019). The Influence of Down-Sampling Strategies on SVD Word Embedding Stability. RepEval 2019 – Proceedings of the Third Workshop on Evaluating Vector Space Representations for NLP @ NAACL 2019. Minneapolis, MN, USA, 6 June 2019, 18–26. DOI: 10.18653/v1/W19-2003

Hemmer B, Börries M, Christoph J, Marx G, Maaßen O, Schuppert A, Scheithauer S, Die klinischen Anwendungsbeispiele (Use Cases) der vier MII-Konsortien, Forum der Medizin-Dokumentation und Medizin-Informatik (mdi), 2019. 4(21): p. 98-102.

Kamdje-Wabo G, Gradinger T, Löbe M, Lodahl R, Seuchter SA, Sax U, Ganslandt T., Towards Structured Data Quality Assessment in the German Medical Informatics Initiative: Initial Approach in the MII Demonstrator Study, Stud Health Technol Inform. 2019; 264:1508-1509. DOI: 10.3233/SHTI190508.

Kolditz T, Lohr C, Hellrich J, Modersohn L, Betz B, Kiehntopf M, Hahn U, Annotating German Clinical Documents for De-Identification., Stud Health Technol Inform. 2019;264: 203-207. DOI: 10.3233/SHTI190212

Kruse H M, Helhorn A, Phan-Vogtmann LA, Thomas E, Heidel A J, Saleh K, Scherag A, Ammon D: Modeling a Graph Data Model for FHIR Resources. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS), Dortmund, 8–11 September 2019. DOI: 10.3205/19gmds160 (Poster PDF)

Lohr C, Kiesel J, Luther S, Hellrich J, Kolditz T, Stein B, Hahn U; Continuous quality control and advanced text segment annotation with WAT-SL 2.0, In: LAW XIII 2019 – Proceedings of the 13th Linguistic Annotation Workshop @ ACL 2019. Florence, Italy, August 1, 2019. A. Friedrich & D. Zeyrek (Eds.), Stroudsburg/PA: Associationfor Computational Linguistics (ACL), 2019, pp. 215–219: DOI: 10.18653/v1/W19-4025

Löbe M, Beyan O, Stäubert S, Meineke F, Ammon D, Winter A, Decker S, Löffler M, Kirsten T, Design of Metadata Services for Clinical Data Interoperability in Germany, Stud Health Technol Inform. 2019; 264:1528-1529. DOI: 10.3233/SHTI190518

Meineke FA, Stäubert S, Löbe M, Uciteli A, Löffler M, Design and Concept of the SMITH Phenotyping Pipeline., Stud Health Technol Inform. 2019; 267:164-172. DOI: 10.3233/SHTI190821

Phan-Vogtmann LA, Helhorn A, Kruse HM, Thomas E, Heidel AJ, Saleh K, Rissner F, Specht M, Henkel A, Scherag A, Ammon D, Approaching Clinical Data Transformation from Disparate Healthcare IT Systems Through a Modular Framework., Stud Health Technol Inform. 2019;258:85-89. DOI:10.3233/978-1-61499-959-1-85

Phan-Vogtmann LA, Kruse H M, Helhorn A, Heidel A J, Thomas E, Saleh K, Scherag A, Ammon D: Rückverfolgbarkeit für künstliche Intelligenz: Umsetzung einer Traceability-Strategie bei der modellgetriebenen Entwicklung klinischer Entscheidungsunterstützungssysteme. 64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS), Dortmund, 8–11 September 2019. DOI: 10.3205/19gmds183 (Poster PDF)

Schmücker P, Schemmann U, Winter A, Bott OJ, Knaup-Gregori P, Lautenbach H, Phan-Vogtmann LA, Scherag A, Sohrabi K, Spreckelsen C, Aus-, Fort- und Weiterbildung in der Medizininformatik-Initiative, Forum der Medizin-Dokumentation und Medizin-Informatik (mdi), 2019. 4(21): p. 102-105.

Schreiweis B, Ammon D, Sedlmayr M, Albashiti F, Wendt T: Das Datenintegrationszentrum – Ausgangspunkt für die datengetriebene medizinische Forschung und Versorgung. Forum der Medizin-Dokumentation und Medizin-Informatik (mdi), 2019. 4(21): p. 106-110

Tahar K, Müller C, Dürschmid A, Haferkamp S, Saleh K, Jürs P, Stäubert S, Gewehr JE, Zenker S, Ammon D, Wendt T, Integrating Heterogeneous Data Sources for Cross-institutional Data Sharing: Requirements Elicitation and Management in SMITH, medInfo 2019; 264:1785-1786. DOI: 10.3233/SHTI190647

Uciteli A, Beger C, Kirsten T, Meineke FA, Herre H: Ontological Modelling and Reasoning of Phenotypes, in Proceedings of the Joint Ontology Workshops (JOWO) 2019, Episode V: The Styrian Autumn of Ontology, Graz, Austria, 2019, http://ceur-ws.org/Vol-2518/paper-ODLS11.pdf

Zabka S, Ammon D, Ganslandt T, Gewehr J, Haverkamp C, Kiefer S, Lautenbacher H, Löbe M, Thun S, Boeker M: Towards a Medication Core Data Set for the Medical Informatics Initiative (MII):Initial Mapping Experience between the German Procedure Classification (OPS) and the Identification of Medicinal Products (IDMP). In: ODLS 2019 : Integrated 9. Workshop Data in Life Sciences and Ontologies in Biomedicine und Life Sciences (OBML), Part of the Joint Ontology Workshops (JOWO 2019), Graz, 23.–25. September 2019

2018

Ganslandt T, Boeker M, Löbe M, Prasser F, Schepers J, Semler SC, Thun S, Sax U (2018). Der Kerndatensatz der Medizininformatik-Initiative: Ein Schritt zur Sekundärnutzung von Versorgungsdaten auf nationaler Ebene. Forum der Medizin-Dokumentation und Medizin-Informatik (mdi), Heft 1, März 2018, Jahrgang 20,17-21; ISSN 1438-0900

Hahn U, Matthies F, Lohr C, Löffler M, 3000PA-Towards a National Reference Corpus of German Clinical Language., Stud Health Technol Inform. 2018;247:26-30., DOI: 10.3233/978-1-61499-852-5-26

Karim Md R, Nguyen B-Ph, Zimmermann L, Kirsten T, Löbe M, Meineke F A, Stenzhorn H, Kohlbacher O, Decker S, Beyan O D (2018). A Distributed Analytics Platform to Execute FHIR-based Phenotyping Algorithms.Proceedings of the 11th International Conference Semantic Web Applications and Tools for Life Sciences – SWAT4LS 2018, Antwerp, Belgium, 3–6 December 2018. CEUR Workshop Proceedings Vol. 2275. ISSN: 1613-0073

Kesselmeier M, Scherag A, Commentary: Arguing for Adaptive Clinical Trials in Sepsis., Front Immunol. 2018; 9:2507. DOI: 10.3389/fimmu.2018.02507

Winter A, Stäubert S, Ammon D, Aiche S, Beyan O, Bischoff V, Daumke P, Decker S, Funkat G, Gewehr JE, de Greiff A, Haferkamp S, Hahn U, Henkel A, Kirsten T, Klöss T, Lippert J, Löbe M, Lowitsch V, Maassen O, Maschmann J, Meister S, Mikolajczyk R, Nüchter M, Pletz MW, Rahm E, Riedel M, Saleh K, Schuppert A, Smers S, Stollenwerk A, Uhlig S, Wendt T, Zenker S, Fleig W, Marx G, Scherag A, Löffler M, Smart Medical Information Technology for Healthcare (SMITH)., Methods Inf Med. 2018;57(S 01):e92-e105. DOI: 10.3414/ME18-02-0004

2023

Andrikyan W, Then MI, Gaßmann KG, Tümena T, Dürr P, Fromm MF, Maas R. 2021. Identification of disease-related contraindications based on the medication plan alone – a proof of principal study. DPhG Annual Meeting 2021.

Beger C, Boehmer AM, Mussawy B, Redeker L, Matthias F, Schäfermeier R, Härdtlein A, Dreischulte T, Neumann D, Uciteli A. 2023 307. Modelling Adverse Events with the TOP Phenotyping Framework. German Medical Data Sciences 2023. DOI: 10.3233/SHTI230695

Böhmer A, Härdtlein A, Dreischulte T, Jaehde U. 2021. Prioritisation of adverse drug events during hospitalization: A two-stage RAND survey. DPhG Annual Meeting 2021.

Härdtlein A, Böhmer A, Rottenkolber M, Pudritz YM, Gensichen J, Jaehde U, Dreischulte T. 2021 . Arzneimitteltherapiesicherheit (AMTS) in der ambulanten Versorgung: Entwicklung von Indikatoren zur Detektion potenziell arzneimittelbedingter Krankenhauseinweisungen in Routinedaten 55. Kongress für Allgemeinmedizin und Familienmedizin (DEGAM). DOI: 10.3205/21degam206

Kesselmeier M, Boeker M, Gantner J, Löffler M, Meineke F, Peschel T, Przybilla J, Scherag A, Schulze S, Schuster J, Zeynalova S, Zöller D. 2021. Biometrical challenges of the Use Case of the Medical Informatics Initiative (MI-I) on “POLypharmacy, drug inter Actions, Risks” (POLAR_MI). Biometrisches Kolloquium 2021.

Matthies F, Neumann D. 2023. Struktursuche in pharmazeutischen Fachinformationen zur maschinenlesbaren Abbildung von AMTS-relevanten Informationen. SMITH Science Day 2022. DOI: 10.3205/22smith26

Neumann D, Böhmer A. 2023. Patient Journey Modeling zur menschen- und maschinenlesbaren Operationalisierung unerwünschter arzneimittelbezogener Ereignisse am Beispiel des unerwünschten Ereignisses gastrointestinale Blutung. SMITH Science Day 2022. DOI: 10.3205/22smith25

Neumann D, Thalheim T, Kesselmeier M, Andrikyan W, Farker K, Weisbah L, Schuster AK, Karsten Dafonte K, Böhmer A, Then MI, Maas R, Fromm MF, Scherag A, Löffler M. 2023 . POLAR Plausibilisierungskampagne – technischer Test. SMITH Science Day 2022. DOI: 10.3205/22smith31

Thalheim T, Neumann D, Kesselmeier M, Peschel T, Palm J, Meineke F, Schmidt F, Böhmer A, Scherag A, Löffler M. 2023 . Die POLAR ETL – ein wegweisender Hürdenlauf vom Idealkonzept zur realen Auswertung. SMITH Science Day 2022. DOI: 10.3205/22smith32

Then MI, Andrikyan W, Maas R, Fromm MF. 2021. Use of QT interval prolonging drugs in Germany and discrepancies between the Summary of Product Characteristics and the international CredibleMeds® reference list . DPhG Annual Meeting 2021.

2022

Ahrens P, Steinbach D, Schmidt M, Federbusch M, Heuft L, Lübbert C, Nauck M, Gründling M, Isermann B, Gibb S, Kaiser T (geteilte Erstautorenschaft). 2022 . Applying Machine Learning to Blood Count Data Predicts Sepsis with ICU Admission. MedRxiv. DOI: 10.1101/2022.10.21.22281348

Andrikyan W, Jung-Poppe L, Altenbuchner A, Nicolaus HF, Pfistermeister B, Dormann H, Fromm MF, Maas R. 2022 12(1)315. Documentation of Drug-Related Problems with ICD-11: Application of the New WHO Code-Set to Clinical Routine Data. Journal of Clinical Medicine. DOI: 10.3390/jcm12010315

Andrikyan W, Then MI, Gaßmann KG, Tümena T, Dürr P, Fromm MF, Maas R. 2022 . Use of medication data alone to identify diagnoses and related contraindications: Application of algorithms to close a common documentation gap . ADKA-Jahreskongress 2022, Nürnberg.

Andrikyan W, Then MI, Gaßmann KG, Tümena T, Dürr P, Fromm MF, Maas R. 2022 88(12)5399-5411. Use of medication data alone to identify diagnoses and related contraindications: Application of algorithms to close a common documentation gap . British Journal of Clinical Pharmacology. DOI: 10.1111/bcp.15469

Beck J, Blasini R, Michel-Backofen A, Schneider H. 2022 . Transforming medication data from the Meona HIS into FHIR resources. GMDS/TMF Jahrestagung 2022. DOI: 10.3205/22gmds115

Härdtlein A, Böhmer A (geteilte Erstautorenschaft), Karsten Dafonte K, Rottenkolber M, Jaehde U, Dreischulte T. 2022 11(15)4254. Prioritisation of adverse drug events leading to hospital admission and occurring during hospitalisation: A RAND survey. Journal of Clinical Medicine. DOI: 13.3390/jcm11154254

Mussawy B, Redeker L, Härterich S, Tröger F, Lüneburg N, Thürmann P, Schmiedl S. 2022 . Analyse der Operationalisierbarkeit von vier PIM-Listen in elektronischen Krankenhausroutinedaten aus 13 Universitätskliniken . ADKA-Jahreskongress 2022, Nürnberg.

Redeker L, Mussawy B, Härterich S, Tröger F, Lüneburg N, Thürmann P, Schmiedl S. 2022 . Developing of algorithms and assessment of potential implementation of four PIM lists within the POLAR study . 7th German Pharm-Tox Summit.

Then MI, Andrikyan W, Fromm MF, Maas R. 2022 . Clarity and usability of absolute contraindications in the Summary of Product Characteristics / Prescribing Information in international comparison for Germany, UK and US. DPhG Annual Meeting 2022.

Then MI, Andrikyan W, Fromm MF, Maas R. 2022 11(14)4167. Comprehensibility of Contraindications in German, UK and US Summaries of Product Characteristics/Prescribing Information—A Comparative Qualitative and Quantitative Analysis . Journal of Clinical Medicine. DOI: 10.3390/jcm11144167

Then MI, Andrikyan W, Maas R, Fromm MF. 2022 88(1)226-236. The CredibleMeds® list: Usage of QT interval prolonging drugs in Germany and discordances with prescribing information. British Journal of Clinical Pharmacology. DOI: 10.1111/bcp.14951

Then MI, Tümena T, Sledziewska A, Gaßmann KG, Maas R, Fromm MF. 2022 113(2)435-445. Development in Prescriptions of Contraindicated and Potentially Harmful QT Interval-Prolonging Drugs in a Large Geriatric Inpatient Cohort From 2011 to 2021. Clinical Pharmacology & Therapeutics. DOI: 10.1002/cpt.2813

Wahram A, Then MI, Gaßmann KG, Tümena T, Dürr P, Fromm MF, Maas R. 2022 . Identification of diagnosis-related contraindications based on the medication plan alone. Naunyn-Schmiedeberg’s Archives of Pharmacology / German Pharm-Tox Summit 2022. DOI: 10.1007/s00210-022-02205-7

Weisbach L , Schuster AK, Hartmann M, Dürr P, Then MI, Andrikyan W, Fromm MF, Maas R, Farker K. 2022 . Inconsistencies of absolute drug-drug-contraindication reports: analysis of Summaries of Product Characteristics of commonly prescribed drugs. British Journal of Clinical Pharmacology. DOI: 10.1111/bcp.15730

Weisbach L, Schuster AK, Hartmann M, Fromm MF, Maas R, Farker K. 2022 . Information deficits in liver-related contraindications – Analysis of clarity and codability in SmPCs/PI of major drug markets. GAA Jahrestagung 2022. DOI: 10.3205/22gaa09

Weisbach L, Schuster AK, Hartmann M, Fromm MF, Maas R, Farker K. 2022 11(7)1933. Inconsistencies and ambiguities in liver disease related contraindications – a systematic analysis of SmPCs/PI of major drug markets. Journal of Clinical Medicine. DOI: 10.3390/jcm11071933

2021

Andrikyan W, Then MI, Gaßmann KG, Tümena T, Dürr P, Fromm MF, Maas R. 2021. Identification of disease-related contraindications based on the medication plan alone – a proof of principal study. DPhG Annual Meeting 2021.

Böhmer A, Härdtlein A, Dreischulte T, Jaehde U. 2021. Prioritisation of adverse drug events during hospitalization: A two-stage RAND survey. DPhG Annual Meeting 2021.

Böhmer A, Härdtlein A, Rottenkolber M, Pudritz YM, Dreischulte T, Jaehde U (geteilte Erstautorenschaft). 2021. Prioritisation of adverse drug events leading to hospital admission and occurring during hospitalisation: A RAND survey. GAA Jahrestagung 2021. DOI: 10.3205/21gaa02

Härdtlein A, Böhmer A, Rottenkolber M, Pudritz YM, Gensichen J, Jaehde U, Dreischulte T. 2021 . Arzneimitteltherapiesicherheit (AMTS) in der ambulanten Versorgung: Entwicklung von Indikatoren zur Detektion potenziell arzneimittelbedingter Krankenhauseinweisungen in Routinedaten 55. Kongress für Allgemeinmedizin und Familienmedizin (DEGAM). DOI: 10.3205/21degam206

Kesselmeier M, Boeker M, Gantner J, Löffler M, Meineke F, Peschel T, Przybilla J, Scherag A, Schulze S, Schuster J, Zeynalova S, Zöller D. 2021. Biometrical challenges of the Use Case of the Medical Informatics Initiative (MI-I) on “POLypharmacy, drug inter Actions, Risks” (POLAR_MI). Biometrisches Kolloquium 2021.

Nies AT, König J, Hofmann U, Kölz C, Fromm MF, Schwab M. 2021 13(3)369. Interaction of Remdesivir with Clinically Relevant Hepatic Drug Uptake Transporters. Pharmaceutics. DOI: 10.3390/pharmaceutics13030369

Then MI, Andrikyan W, Maas R, Fromm MF. 2021 . Prescription of QT interval prolonging drugs in Germany and discrepancies between their Summary of Product Characteristics and the international CredibleMeds® database . Naunyn-Schmiedeberg’s Archives of Pharmacology / German Pharm-Tox Summit 2022.

Then MI, Andrikyan W, Maas R, Fromm MF. 2021. Use of QT interval prolonging drugs in Germany and discrepancies between the Summary of Product Characteristics and the international CredibleMeds® reference list . DPhG Annual Meeting 2021.

2023

Meineke FA, Modersohn L, Löffler M, Böker M. 2023 302835-836. Announcement of the German Medical Text Corpus Project. Studies in Health Technology and Informatics. DOI: 10.3233/SHTI230283

2023

Molinnus D, Kurth A, Lowitsch V, Marx G, Bickenbach J. 2023 302366-367. Towards an Advanced Digital Infrastructure Within the Non-University Sector Demonstrated by the PICOS App. Studies in Health Technology and Informatics. DOI: 10.3233/SHTI230143

Leipzig Health Atlas

The Leipzig Health Atlas (LHA) acts as a crucial resource for medical research by providing a comprehensive collection of clinical and epidemiologic studies, clinical registries and other prospective research projects. These data sources play a central role in evidence-based medicine and often serve as the basis for secondary research, disease prediction models and disease progression.

However, this valuable data is often insufficiently described or difficult to access. The same applies to models, especially those for predicting or classifying diseases and disease stages, which are often not available as user-friendly program tools for healthcare and biomedical professionals.

To close this gap, the interdisciplinary Leipzig Health Atlas project was expanded as part of the SMITH Health Atlas. It now offers an integrated and sustainable archive for medical data, metadata, models and new phenotypes from various research projects. This information is available on request to interested users from the healthcare and biomedical sectors.

The Leipzig Health Atlas can be accessed at www.health-atlas.de. The idea and further development of the project are ensured by the DFG program NFDI4Health and the implementation of decentralized Local Data Hubs.