The Hasso Plattner Institute for Digital Health at Mount Sinai is a collaborative research initiative between the Hasso Plattner Institute in Germany and the Mount Sinai Health System. The Institute focuses on using data science, biomedical engineering, and digital technologies to improve patient care, and has developed multiple programs to support this mission.

The Charles Bronfman Institute for Personalized Medicine unites clinical and biological data scientists across the Mount Sinai Health System to explore human disease through cohort studies. In rapidly translating discoveries into new treatments, the Institute creates an environment where any patient can become a research participant, and clinical decisions are continuously optimized.

As one of the largest projects of its kind, the Mount Sinai Million Health Discoveries Program is currently enrolling one million patients for genomic sequencing. This effort addresses critical gaps in personalized medicine research by ensuring diverse representation, and positions Mount Sinai as a national leader in developing tailored therapies for every patient.

The Clinical Science Data team is pioneering the use of data science, machine learning, and artificial intelligence (AI) to transform clinical care and improve patient outcomes. A real-time streaming clinical data platform has been developed to integrate AI and ML into hospital settings, enabling smarter, data-driven decision-making. The focus is on three key areas: improving early recognition and diagnosis of clinical conditions, enhancing provider awareness and timely interventions, and optimizing hospital operations for greater efficiency. As the AI-driven platform continuously learns from patient and clinician interactions, it uncovers new insights that drive ongoing improvements in healthcare delivery.

The Center for Ophthalmic Artificial Intelligence and Human Health serves as one of the first centers in the United States dedicated to leveraging the untold potential of AI, data science, and imaging to achieve breakthroughs in ophthalmic care.

In this effort, the Department collaborates with the New York Eye and Ear Infirmary of Mount Sinai (NYEE), Mount Sinai/New York Eye and Vision Research Institute, and The Shelley and Steven Einhorn Clinical Research Center at NYEE. The Center focuses on a broad spectrum of research, clinical and diagnostic care, and physician education to help bring AI and its rapidly growing family of technologies and capabilities into the ophthalmic mainstream.

Another partnership central to the success of the Department is our collaboration with The Mount Sinai Data Warehouse. The Mount Sinai Data Warehouse collects clinical, operational, and financial data for use in clinical and translational research, as well as quality and improvement initiatives. It regularly provides data services that allow access to custom data sets, custom data marts, and de-identified data.

The Warehouse covers a range of electronic medical record and ancillary systems at The Mount Sinai Hospital and is currently expanding to encompass data from Mount Sinai Queens, Mount Sinai Morningside, Mount Sinai West, and Mount Sinai Brooklyn.

The lab of Ipek Ensari, PhD, conducts studies on mobile health (mHealth) technologies and machine learning methods for complex patient-generated data toward improving chronic disease characterization and patient self-management, focusing on women’s reproductive health conditions.