at Johns Hopkins
Artificial Intelligence (AI) holds great promise and potential to impact our work. Johns Hopkins provides various tools and services to tap into AI’s capabilities as part of its legacy of innovation and excellence. These AI tools must be used responsibly to ensure that AI safely redefines what is possible in the office, the laboratory, the bedside, or the classroom.
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Deidentified Data Set for Research in Pilot Phase
Research IT and Precision Medicine IT team members have enabled six pilot projects across the university to work with the Johns Hopkins Aggressively Deidentified Dataset (JH-ADDS). JH-ADDS contains de-identified patient data from Epic’s electronic medical record that is mapped into the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). OMOP is a widely used […]
Potential and current Johns Hopkins patients now have a streamlined way to search for Johns Hopkins providers. The Health IT team worked with Kyruus to deploy a new website that helps patients find Johns Hopkins-affiliated health care providers. This site streamlines eight previous search experiences into one and improves patient experience with better search capabilities. […]
This year, the Johns Hopkins Digital Student Experience Conference (DSEC) will take place October 17-18 (day 1 is in person on the Mt. Washington campus or virtual; day 2 is virtual-only on Zoom). DSEC unites functional and technical staff from across the university to explore and discuss the ever-changing landscape of digital solutions in admissions, […]
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