M. Sedlmayr Lab: Medical Informatics

Participatory decision-making, personalised medicine, demographic change and digitalisation are just some of the buzzwords that describe the challenges facing the healthcare sector in the context of new procedures and technologies. In this dynamic environment, IT systems are becoming increasingly important by providing users with targeted support - be it through the automated collection, provision, evaluation or visualisation of data.

Medical informatics is in a state of flux. We are moving away from traditional hospital IT topics towards innovative digital ecosystems.

Our initial focus is on data indexing from clinical systems and intersectoral infrastructures, syntactic and semantic data integration as well as data harmonisation through the transfer to standard terminologies such as SNOMED-CT and LOINC. We also use HL7 FHIR to improve the exchange and interoperability of healthcare data.

On this basis, we enable the computerised analysis of data using modern approaches such as big data and machine learning. The results are visualised in interactive dashboards or multi-omics networks.

We rely on user-orientated development processes that promote the participation of our stakeholders from requirements analysis to evaluation. In this way, we ensure that the solutions developed meet the actual needs of users and offer a high level of practical benefit.

Our research promotes interdisciplinary collaboration between core informatics, medical informatics, bioinformatics, medical technology and systems medicine. Given the complexity and diversity of solutions, our chair focuses on the development of a comprehensive ecosystem for medical research and care.

We invite you to find out more about our projects, teaching programmes and research focuses.

Die Professur umfasst drei zentrale Forschungsbereiche:

mit thematisch übergreifenden Anwendungsschwerpunkten:

Projects

current projects:

ACRIBIS — Advancing Cardiovascular Risk Identification with Structured Clinical Documentation and Biosignal Derived Phenotypes Synthesis (BMBF)
AMPEL – Scaling of Clinical AI Support
DigiONE — Digital Infrastructure for Oncology in Europe (EU)
EyeMatics — „Behandlung“ von Augenerkrankungen mit interoperabler medizinischer Informatik (BMBF)
FAIR4Rare — Begleitende Evaluation des Aufbauprozesses eines offenen Nationalen Registers für Seltene Erkrankungen (Innovationsausschuss beim Gemeinsamen Bundesausschuss)
GeMTeX — Automatische Erschließung medizinischer Texte für die Forschung und Entwicklung einer großen Textsammlung deutschsprachiger, medizinischer Texte aus der Patientenversorgung (BMBF)
INTERPOLAR — Reduktion arzneimittelbezogener Schäden für Arzneimittel-Sicherheit (Medizininformatik-Initiative, BMBF)
MiHUBx — ein digitales Ökosystem zur Stärkung von medizinischer Forschung (BMBF)
MII-MIRACUM — Arbeitsgemeinschaften des Nationalen Steuerungsgremiums (Medizininformatik-Initiative, BMBF)
PM4Onco — Personalized Medicine for Oncology (BMBF)
RISK PRINCIPE — RISK Prediction for Risk-stratified INfection Control and PrEvention (BMBF)
SATURN — Smartes Arztportal für Betroffene mit unklarer Erkrankung (BMG)
SCaDS.AI — "Center for Scalable Data Analytics and Artificial Intelligence" (BMBF)
Somnolink — Connected sleep data and decision support along the patient path for better care of Obstructive Sleep Apnea (BMBF)
SPIZ — Sektorenübergreifende Versorgung von Patient*innen mit hämatologischen Erkrankungen nach innovativer Zelltherapie (Mittel des Innovationsausschusses beim Gemeinsamen Bundesausschuss)

finished projects:

ABIDE_MI — "Aligning Biobanking and DIC Efficiently"
BIDA-SE - Einsatzmöglichkeiten und klinischer Nutzen von Big Data Anwendungen im Kontext seltener Erkrankungen (BMG)
CORD-MI — „Zusammenarbeit für Menschen mit Seltenen Erkrankungen“ (Medizininformatik-Initiative, BMBF)
DISPENSE - Dresdner InformationS Prognosetool bEttenauslastung iN SachsEn (Freistaat Sachsen)
Hybrid-QI — Hybride Qualitätsindikatoren mittels Machine Learning-Methoden (Mittel des Innovationsausschusses beim Gemeinsamen Bundesausschuss)
MEDiC —Modellstudiengang Medizin (Bund, Freistaat Sachsen)
MIRACUM (Medizininformatik-Initiative, BMBF)
PANOS – ParkinsonNetzwerk Ostsachsen - Digitalisierte, sektorübergreifende integrierte Versorgung von Parkinsonpatienten in Ostsachsen (BMG)
PROSPER — Plattform for Operation Scheduling and Prediction using machine learning (Freistaat Sachsen)
Teleschlafmedizin (EFRE)
VBTKR - Value Based Total Knee Replacement (Mittel des Innovationsfonds zur Förderung von Versorgungsforschung, G-BA)