The Mount Sinai ConduITS Informatics Core

Jun 26, 2024 | Conduits News, Edition 4

Mount Sinai’s ConduITS Informatics Core is comprised of experts at the intersection of biomedical informatics, computational and data science, and artificial intelligence (AI). We partner with researchers and clinicians to utilize Mount Sinai’s computational and data science ecosystem to accelerate translational science. The ecosystem contains a wealth of multi-modal data resources collected from the patient care processes at MSHS co-located with >1,000 applications integrated on a modern high-performance computing platform. Data resources include electronic health records, pathology, -omics, radiology and publicly available data sets. AI tools for data analysis, curation, AI training, evaluation and inference leverage Graphics Processing Units (GPUs). REDCap is available for clinical trials and is connected to Epic.

The specific aims for the Informatics Core are:

1. Establish a shared biomedical informatics ecosystem that maximizes access to core informatics competencies, coordinates data governance and stewardship, and promotes collaborative team science.

2. Expand and harmonize a sustainable informatics infrastructure that supports secure access to multiple interconnected data streams, promotes user-friendly tools for data analytics and reproducible research, and encourages data sharing.

3. Implement patient-centered informatics strategies to integrate research into clinical practice and to catalyze improved conduct of clinical and translational trials.

4. Provide data science and informatics training that engages students, residents and faculty with trans-disciplinary real-life data-driven research projects, and lowers the bar to successful application of informatics for translational research

 

To achieve these aims, we build upon our combined total of over 200 years of professional experience in partnering with scientists and clinicians to harness the power of biomedical informatics, computational and data science, and artificial intelligence (AI) approaches and data resources for research and translational science. We are a complementary team of scientists, physicians, technologists, educators and researchers experienced at the intersection of multiple fields of science, medicine and technology. The team has earned MDs, and PhDs in a range of fields including biomedical engineering, genetic epidemiology, theoretical chemistry, chemical engineering, and system dynamics. Our interdisciplinary approach and experience from both inside and outside the world of academic medical centers enables us to bring innovative approaches to our partnerships at Mount Sinai. We participate in local, regional, national and international conferences, meetings and consortia to stay current on best practices in biomedical informatics, computational and data science and AI. We share our experiences through publications, workshops and community engagement.

 

ConduITS is supported by NCATS of the NIH’s CTSA Program. Any use of CTSA-supported resources requires citation of grant number UL1TR004419 awarded to ISMMS in the acknowledgment section of every publication resulting from this support. Adherence to the NIH Public Access Policy is also required.

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