Medical Information Visualization Assistant (MIVA)

dc.contributor.authorFaiola, Anthony
dc.contributor.authorNewlon, Chris
dc.date.accessioned2016-09-01T19:29:44Z
dc.date.available2016-09-01T19:29:44Z
dc.date.issued2011-04-08
dc.descriptionposter abstracten_US
dc.description.abstractIntensive Care Units (ICUs) are home to many healthcare facilities’ most critical and vulnerable patients. They are also home to multiple bedside devices, each offering staggering amounts of patient data. Recognizing that quality care is dependent upon the ability to interpret and respond to patient data quickly and accurately, a team of researchers is changing how doctors and nurses interface with health information. Dr. Anthony Faiola created the Medical Information Visualization Assistant (MIVA) as a new application that consolidates large sums of patient data into one visual and interactive system. It aids physicians and nurses by allowing them to streamline work processes and ensure accuracy of information. Devices monitoring patients’ vitals, such as blood pressure, heart rate and other measures are integrated with MIVA and displayed on a large touch-screen within the ICU. MIVA can also track changes over time. This means physicians can interpret the longitudinal effects of an intervention on patients’ health, such as a newly administered drug. Initial testing of the device has been positive. In a 2006 usability study at the Indiana University School of Medicine and Riley Hospital for Children, physicians using MIVA found it to be faster and more accurate than those in a control group. In this same study, a majority of physicians that interacted with MIVA agreed that the device has the potential to improve critical care decisionmaking. A patent application has been filed. The research team is continuing to test the device and plan to demonstrate MIVA to potential venture capitalists.en_US
dc.identifier.citationAnthony Faiola and Chris Newlon. (2011, April 8). Medical Information Visualization Assistant (MIVA). Poster session presented at IUPUI Research Day 2016, Indianapolis, Indiana.en_US
dc.identifier.urihttps://hdl.handle.net/1805/10837
dc.language.isoen_USen_US
dc.publisherOffice of the Vice Chancellor for Researchen_US
dc.subjectIntensive Care Units (ICUs)en_US
dc.subjectMedical Information Visualization Assistant (MIVA)en_US
dc.subjecthealthcare facilitiesen_US
dc.subjectpatient dataen_US
dc.titleMedical Information Visualization Assistant (MIVA)en_US
dc.typePosteren_US
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