Thanks to its new tool, Clinical Looking Glass (CLG), New York’s Montefiore Medical Center now has the ability to pool its data to conduct enhanced population-based clinical research and institution-wide patient studies. Developed at Montefiore, the teaching hospital of the Albert Einstein College of Medicine, CLG assembles results in minutes and hours, it claims.
The software, which taps into Montefiore’s EMR, is used by clinicians who conduct 2,800 CLG inquiries, or analytics, every month, the organization says. Because all of the analyses can be run without identifying the names of the patients (i.e. using ‘de-identified’ data), exploratory questions can be undertaken while protecting privacy, it touts.
According to the healthcare organization, CLG permits clinicians to slice data in multiple ways. After a clinician generates a hypothesis about a specific disease, for example, CLG can in minutes collect data on patients with that disease who were treated with a specific medicine over a specific period of time and live in a specific neighborhood; and then compare this data with patients from a different time period, or a different neighborhood or who were given a different medicine for the same disease.