Users feedback
DRT offers our patient safety program a new capability to identify safety events and patient cohorts of interest from the free text of our electronic health records. In support of our efforts to keep our patients safe, this will be a game-changer.
Alexander Ozonoff, PhD
Associate Professor of Pediatrics, Harvard Medical School
Director, Center for Patient Safety and Quality Research Boston Children’s Hospital
DRT is a very effective and easy-to-use research tool. Text search identifies eligible medical records for research studies by harnessing the power of natural language processing.
Lise Nigrovic, MD MPH
Director of Clinical Research Education, Boston Children’s Hospital
We used DRT to search an incredibly large set of documents and identify cases that we would not have been able to identify any other way. Despite the large volume of documents to sift through, DRT allowed us to quickly and easily narrow down the search to only the most relevant documents, decreasing our workload tremendously!
Amanda Stewart MD MPH
Pediatric Emergency Medicine Fellow, Boston Children’s Hospital
Epidemiologic data provided using DRT changed the way we manage febrile seizures. In the field of Pediatric Neurology we have waited for such data for years and now these are easily obtained.
Tobias Loddenkemper, MD
Director, Clinical Epilepsy Research
Associate Professor of Neurology, Harvard Medical School
Contact:
Amir Kimia, MD
Solution Architect, co-founder
Associate Physician in Medicine, Boston Children's Hospital
Assistant Professor of Pediatrics, Harvard Medical School
Email: amir.kimia@childrens.harvard.edu
Phone: 617-355-6624