About MedModels

MedModels is a powerful Python package designed to streamline the processing and analysis of Electronic Health Record (EHR) data. We empower researchers and healthcare professionals to unlock valuable insights from complex medical datasets.

At the heart of MedModels lies a custom graph dataclass built using Rust, a high-performance programming language. This innovative approach allows MedModels to handle massive EHR datasets efficiently within memory constraints. This translates to faster processing times, smoother data manipulation, and ultimately, quicker access to crucial healthcare knowledge.

German Innovation: Governmental Funding Supports MedModels Development

The development of MedModels is proudly backed by the German Federal Ministry for Economic Affairs and Climate Action (BMKW). This funding underscores the project's significant potential to advance medical research and optimize healthcare delivery.

This Project is supported by the Federal Ministry for Economic Affairs and Climate Action (BMWK) on the basis of a decision by the German Bundestag.

This Project is supported by the Federal Ministry for Economic Affairs and Climate Action (BMWK) on the basis of a decision by the German Bundestag.

Beyond Efficient Data Handling: Powerful Analysis Tools

MedModels goes beyond providing a robust data structure. It offers a comprehensive toolkit for conducting in-depth pharmacoepidemiological analyses. This includes:

  • Treatment Effect Estimation: Evaluate the effectiveness of various treatments using both traditional statistical methods and cutting-edge deep learning approaches. MedModels empowers you to draw robust conclusions about the impact of different interventions on patient outcomes.
  • Patient Matching: Identify and match patients across datasets with high accuracy, a critical step in conducting comparative effectiveness research. MedModels provides sophisticated algorithms to ensure reliable patient cohorts for your analyses.
  • Synthetic Patient Generation: Generate anonymized, yet realistic, synthetic patient data. This allows researchers to explore research questions and develop models without compromising patient privacy. MedModels facilitates responsible data exploration and model development.

A Bridge Between Traditional and Modern Methods

MedModels embraces both traditional statistical methods and modern deep learning approaches. This flexibility allows you to choose the most appropriate analysis technique based on the specific research question and data characteristics. Whether you require established statistical rigor or the power of deep learning, MedModels provides the tools to conduct robust and informative analyses.

Brought to you by Limebit GmbH

MedModels is a creation of Limebit GmbH (opens in a new tab), a Berlin, Germany-based software development and artificial intelligence company. Limebit GmbH is dedicated to providing innovative solutions for the healthcare and pharmaceutical sectors. MedModels exemplifies their commitment to harnessing the power of AI to revolutionize healthcare data analysis. MedModels is committed to fostering innovation in the healthcare landscape. We invite researchers, data scientists, and healthcare professionals to join us in leveraging the power of EHR data for groundbreaking discoveries and improved patient care.