#labdata

2024-07-10

As the new spokesperson for the core dataset ‘laboratory report’ of the Medical Informatics Initiative #MII, Martin Federbusch now represents science towards industry and politics in the standardisation of digitised #LabData.

With the introduction of #AI in clinics such as #AMPEL, the scientific secondary data of today will become the primary data of tomorrow. It is therefore crucial that the conditions for both training and application of AI systems are right.

ampel-cdss.com

Image of Martin Federbusch, Lead of AMPEL, and a quote:"AMPEL is integrating AI into routine clinical care.
The importance of standardized data cannot be overstated. The future of our transparent and innovative clinical AI is significantly shaped by standardization. Therefore, we have decided to actively participate in the national standardization process." Martin Federbusch
Leads the AMPEL AI system at the University of Leipzig Medical Center | Finds LOINC boring but necessary | Has now assumed the role of laboratory medicine spokesperson for the MII to contribute to national standardization efforts in Germany.
2023-10-13

Labor medicine holds a significant place in Germany. Many #ML models rely on #labdata, and we believe this sets the stage for exciting #AI applications in the future #healthcare system.

The German Laboratory Medicine Congress #DKLM has been taking place since yesterday. Our contribution on #bloodcount-based ML early detection of #sepsis won the 1st prize today. Thanks for valuing our work! 🏆

The awarded poster can be downloaded here: uniklinikum-leipzig.de/einrich

#AMPEL #CDSS #LaboratoryMedicine

5 persons on stage, in the middle one honored man holding a price. In the background there is a powerpoint slide showing the name of the prizewinning scientific work "A machine learning-derived, blood count based algorithm improves prediction of sepsis. Dr. Daniel Steinbach"
Lab HorizonsLab_Horizons
2023-10-02

Diagnostics labs have data on patients, tests, reports, finances, and much more. Segregating this data and managing it effectively has its own hurdles that are created due to various factors. Let's explore! ➡️

2023-09-13

The #AMPEL team develops a #Sepsis model based on #LabData. It has been shown that just a few parameters from the blood count may suffice: doi.org/10.1101/2022.10.21.222

Preliminary findings indicate that in specific scenarios (e.g., #ED), even better predictions can be achieved.

Next year, we will release our #OpenSource #CDSS, including an ML model for #Sepsis detection!

#WorldSepsisDay

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