March 17, 2014
Dr. Anthony Faiola, associate professor of human-computer interaction (HCI) and Dr. Simon C. Hillier, MD, professor of anesthesiology (Geisel School of Medicine, Dartmouth College) were recently awarded a US Patent for their new medical system invention: Medical Information Visualization Assistant System and Method (MIVA), #8,645,164.
MIVA will provide critical care physicians and nurses working in the Intensive Care Unit (ICU) with a data visualization diagnostic tool for interpreting large and diverse patient datasets, transforming data into contextual information and knowledge suitable for rapid decision-support. The mobile function of MIVA will allow clinicians to collaborate with their ICU team regardless of location, in or outside the critical care area.
Dr. Faiola is currently working on a third clinical study with the product. In the first two studies, clinical participants showed positive results, noting that MIVA provided added data visualization points without the need to review traditional paper charts, was consistent with clinical practice, provided external representations of activities for clues about group coordination, and was a solution to resolve conflicts about interpreting others’ activity. In summary, participants agreed that MIVA provided a unique analytical perspective and a broader context of real-time ICU experiences and human activity that could significantly impact clinical decision-support.
Dr. Faiola received considerable help from his team of Research Associates during the Phase-Two Funding period, which was supported by a grant from the IUPUI Solution Center (ISC). This included the work of Robert Comer and Christine Newlon, who authored the interface code and database back-end architecture, both from the School of Informatics and Computing. Dr. Atif Zafar, MD, Professor at the Indiana University School of Medicine and Physician of Internal Medicine at Methodist Hospital also contributed as a consultant on interface content. The project is currently in its fourth phase of funding from ISC, with other grant proposals in the pipeline. All support from ISC was matched with funds from the Indiana University School of Informatics and Computing, IUPUI.
Dr. Faiola’s paper on MIVA, written with his team of graduate students, was recently accepted to the prestigious Association for Computing Machinery Conference on Human Factors in Computing Systems (CHI) in the Works-in-Progress category; which will be presented in April in Toronto, Canada.