Prof. Dr. Bernhard Renard

Collaboration projects with the Hasso Plattner Institute for Digital Health at Mount Sinai (HPI・MS) on Electronic Health Records

Collaboration projects

Workflow for clinical predictive modeling and statistical analysis of clinical data in general

The main data source behind our projects are the structured and unstructured Electronic Health Records (EHR) from around 9 Million patients of the Mount Sinai Health System from the Mount Sinai Data Warehouse. Furthermore, depending on the projects, we include genetic data from the BioMe Biobank program, RNA sequencing or other data from the Mount Sinai Crohn's and Colitis Registry, and other clinical data. We use the AI-Ready Mount Sinai (AIR·MS) platform to query the EHR data (A) and select our cohorts (B).

Our work comprises the following topics:

  • Patient phenotyping using EHR (for instance, epilepsy, inflammatory bowel disease, complications of Crohn’s disease)
  • EHR data preprocessing for clinical predictive modeling
  • Clinical predictive modeling (for instance, epilepsy, Crohn’s disease incident cases)
  • Statistical analyses of clinical data (for instance, for treatment response in inflammatory bowel disease)

Hasso Plattner Institute for Digital Health at Mount Sinai (HPI・MS)

The Hasso Plattner Institute for Digital Health at Mount Sinai (HPI・MS) is an institutional collaboration between the Hasso Plattner Institute and the Mount Sinai Health System.

As an integrated health care system, the Mount Sinai Health System is providing exceptional medical care to local and global communities. Encompassing the Icahn School of Medicine at Mount Sinai and eight hospital campuses in the New York metropolitan area, as well as a large, regional ambulatory footprint, Mount Sinai is internationally acclaimed for its excellence in research, patient care, and education across a range of specialties. The Health System includes more than 7,200 physicians, including general practitioners and specialists, and 13 free-standing joint-venture centers. Mount Sinai also features a robust and continually expanding network of multispecialty services, including more than 400 ambulatory practice locations throughout the five boroughs of New York City, Westchester, and Long Island.

The goal of HPI・MS is to turn the promise of digital health into reality by innovating the way in which individuals think about their personal health generating real impact in people’s lives. HPI·MS is home to a diverse team of researchers from different backgrounds combining expertise in computer science, machine learning, digital engineering, genetics, clinical informatics, and medicine. Contact us if you are passionate about improving healthcare and translational data science and like to work with an interdisciplinary international community.