At this year's Pediatric Academic Societies Meeting (PAS), presentations that demonstrate the impact of NLP technologies in the clinical healthcare space are taking center stage. Sunday, April 30th at 8:45am, David Mills, MD will present his oral abstract, ”Disparities in Plastic Surgery Consultations for Facial Laceration Repair.” Dr. Mills has been announced as a winner of a Fellow's Research Award for this work.

We would like to congratulate Dr. Mills and his team at Boston Children's Hospital for receiving a Fellow's Research Award. The award recognizes outstanding contributions in pediatrics research that lead to demonstrable overall improvements in patient quality of care and well-being.

This project was made possible by Document Review Tools (DR^T), an innovative NLP tool that allows clinicians, researchers, and quality improvement personnel to quickly and effectively screen potentially millions of clinical notes to efficiently extract relevant parameters. Dr. Mills and his team are demonstrating that innovative digital technologies can overcome common resource limitations, by using DRT to reimagine and reinvent how research can be translated from the clinical space into solutions that improve patient outcomes.

To learn more about DRT at PAS 2023 and the clinical research teams that are driving digital transformation in clinical healthcare practices and guidelines, our previous At PAS 2023 post has details for presentation subjects and schedules.

Doctor T (DR^T – Document Review Tool) is a graphic user interface for natural language processing (NLP)-assisted and NLP driven data review. DR^T was developed by pediatric emergency medicine physician, Dr. Amir Kimia MD, and a system architect computer scientist, Assaf Landschaft MSC.

DR^T software can be used by those individuals with little to no IT/computer science expertise. The software is user friendly and clinicians can leverage their training, insights, and experience to review the clinical notes provided by the data mining.

There was extensive time and energy put into which NLP modules are incorporated into DR^T to make it intuitive, and prone to less errors. As artificial intelligence tools continue to evolve, newer methodologies are ongoing along with updated versions. DR^T is not a commercial product or software. It has been used extensively by clinicians and quality improvement professionals at a pediatric hospital and a community hospital. If you are interested or have an idea to help improve patient care, the team that services and generates DR^T includes contractors, computer scientists and research assistants that are paid hourly, mainly through our funded collaborative projects.

For those interested in using DR^T for unfunded projects and cannot support the cost of installation and technical support/version updates, it is recommended to reach out to see if there is potential for collaboration. Our team is always open to new projects involving collaboration in federal and non-federal research grants. Alternatively, DR^T can be installed at your institution for a fee which includes a minimum number of hours for installation, technical support, software updates, and natural language processing basic rules and teaching.

DR^T workflow includes checks and balances, along with your medical ethics, to support a high standard of data analysis to help advance patient care. We have a high regard ensuring new users understand the AI and platform. We have a moral responsibility to make sure the data and science being used are sound. For questions please use the below contact information.

For example of some of our work, our recent publications grants and presentations appear on this website.