Pittsburgh, PA (PRWEB) October 13, 2010
The National Library of Medicine (NLM) in conjunction with the National Institutes of Health (NIH) awarded a $199,404 research grant to BlenderHouse to investigate automating the creation of clinical progress notes with machine learning (Award Number 1R43LM010775). The Principal Investigator is Mike Cham, Blenderhouse’s Chief Technology Officer and co-founder. Supporting participants include cardiologists from the McGinnis Cardiovascular Institute of Allegheny General Hospital and Jaime Carbonell Ph.D., the Director of the Language Technologies Institute and Allen Newell Professor of Computer Science at Carnegie Mellon University.
Clinical encounters require the creation of an enormous amount of documentation placing a tremendous burden on clinical staff. The project intends to prove that the progress note portion of this documentation process can be automated. Reductions in documentation error rates and increases in physician productivity equate to an incredible array of quantitative benefits.
Qualitatively, the project has the potential to make providing healthcare a more enjoyable experience for all involved. Since clinical encounter documentation provides the data which enables all care providers to have an accurate picture of the patients clinical activities the automatic generation of clinical documentation saves time and reduces errors, improving overall quality of patient care. "We founded BlenderHouse to help analytical minds dedicated to helping others eliminate distractions that take them away from what they do best” said Mike Cham, “this grant will help us recognize that vision.”
According to the NIH, the Small Business Catalyst Award program is "further expected to support entrepreneurs of exceptional creativity, drawn from scientific and technological environments beyond NIH, who propose pioneering and possibly transformative approaches to addressing major biomedical or behavioral challenges with the potential for downstream commercial development. The Small Business Catalyst Award for Accelerating Innovative Research funding opportunity intends to encourage fresh research perspectives and approaches to serve the mission of NIH."
“We are very proud to have been awarded this grant from the NIH,” stated Jason Wilburn, Blenderhouse’s CEO and co-founder. “It will enable us to continue to mature our technology and ready it for testing in the clinical environment”
This project is supported by Award Number 1R43LM010775 from the National Library of Medicine. More information about the project can be accessed from NIH's website link at report.nih.gov/recovery. The content of the awarded project is solely the responsibility of the authors and does not necessarily represent the official views of the National Library of Medicine and the National Institutes of Health.
BlenderHouse® specializes in machine learning and data analytics applications for the Healthcare and Intelligence communities. BlenderHouse applications are built from the proprietary Applied Learning Engine™ (ALiE). ALiE consists of a family of machine learning algorithms and unique data analysis and collection tools that enable our customers to change the way analytical professionals document, learn and conduct their work. BlenderHouse is located in Pittsburgh, Pennsylvania.
Jason Wilburn, CEO