MUII Logo University of Missouri


Showing 1-10 of 20

MUII’s Data Science and Analytics Master’s Program to Deliver Cutting-Edge Training to the NGA with $12 Million Federal Contract

Published on 09/01/2016

The University of Missouri College of Engineering has just been awarded a five-year, $12 million contract to deliver a comprehensive data science education program that will provide cutting-edge analytical training for the NGA workforce and potentially other members of the U.S. Intelligence Community (IC). This new program will address key education and training needs identified by NGA.

The program is a collaboration between the MU College of Engineering’s Center for Geospatial Intelligence (CGI) and the MU Informatics Institute’s Data Science and Analytics (DSA) master’s degree program. The newly established effort is part of the NGA College’s Learning Outreach program that partners with qualified academic institutions and industry partners to address key education and training gaps within the NGA. Mizzou will provide a comprehensive data science education program that includes databases and programming, statistical analyses and predictive modeling, data visualization and data mining, cloud-based computing, and machine learning among other specialties that will help develop the NGA and IC workforce. Read more:




Soybean science blooms with supercomputers

Published on 08/24/2016

Soybean Knowledge Base (SoyKB) project finds and shares comprehensive genetic and genomic soybean data through support of NSF-sponsored XSEDE high performance computing. SoyKB helps scientists improve soybean traits. XSEDE Stampede supercomputer 370,000 core hour allocation used in resequencing of over 1,000 soybean germplasm lines. XSEDE ECSS established Pegasus workflow that optimized SoyKB for supercomputers. SoyKB migrated workflow to XSEDE Wrangler data intensive supercomputer.



Families In Rural Areas Using Telemedicine For Psychiatric, Specialty Care

Published on 07/05/2016

Mirna Becevic, PhD, an assistant research professor of telemedicine at the School of Medicine, recently was featured in an article by Forbes. Becevic led a study that shows that video-based mental health services are bridging the gap by providing care to underserved areas

Dr. Dong Xu earns prestigious fellowship from AAAS

Published on 12/07/2015

The AAAS states Fellows are selected in recognition of “their extraordinary achievements across disciplines.” The AAAS is the largest general scientific society in the world and is responsible for the renowned publication Science, among others. The first Fellows were selected in 1874.

There are 24 different disciplines, or sections, for which Fellows can be selected for their contributions. Dr. Xu was selected in the biological sciences category for his work in the bioinformatics field.

Dr. Jianlin Cheng receives prestigious NIH R01 Award

Published on 08/02/2015

Jack has been recently awarded funding for an NIH R01 project entitled “Integrated Prediction and Validation of Protein Structures” for four years with approximately $1.3 M budget starting from 08/2015.  It is a 4 year study with Dr. Jack Tanner in the Department of Chemistry.  

Dr. Gavin Conant and Dr. J. Chris Pires paper published in PNAS

Published on 05/27/2015

Congratulation to Dr. Gavin Conant and Dr. J. Chris Pires on their paper "The butterfly plant arms-race escalated by gene and genome duplications" being published in PNAS. Read more:







Dr.Michela Becchi receives prestigious NSF CAREER Award

Published on 01/23/2015

Dr. Michela Becchi, MUII core faculty recently received an NSF award entitled "CAREER: Compiler and Runtime Support for Irregular Application on Many-core Processors."  The award totals $464, 423 and begins (02/01/2015-01/31/2020). Congratulations Dr. Becchi!

Dr. Xiaoqin Zou receives NIH R01 grant

Published on 01/13/2015

Dr. Xiaoqin Zou, MUII core faculty, recently received an NIH R01 grant entitled "Database and Software Development for Protein-Nucleic Acid Structure Predication".  The total award is $1,461,940 for five years (02/01/2015-11/30/2019).  Congratulations, Dr. Zou!

Article Image

Determining the Impact of Usability Issues of Primary Care Physicians by Expertise When Using an Electronic Health Record

share article

MUII Comprehensive Exam Announcement - Martina Clarke

Published on 01/13/2015

In clinical practice, the function of health information technology (HIT) is growing and more physicians are adopting EHRs extensively because of the financial incentives promised by CMS. There is a shortage of physicians which is expected to top 125,000 by 2020–2025. With the healthcare reform underway, an increase in patients will induce a shortage of primary care providers which may reduce the time physicians’ spend with patients thereby increasing the duties of primary care physicians. Lack of usability considerations in the design of EHR systems creates potential human-computer interaction issues, including increased workflow complexity that will result in loss of productivity and decreased quality of patient care.

 My rationale for the proposed research is that maximizing physicians’ efficiency when using an EHR by improving physicians’ use of the EHR, would relieve a part of the time constraints physicians experience while treating patients. The specific objective of this study is to determine usability issues that affect primary care physicians’ workflow in an electronic health record as they complete specific tasks.

Quantitative and qualitative methods, including, lab-based usability tests, will be used to determine usability issues and the difference in performance among primary care physicians with varying expertise when using an EHR. Morae Manager will be used to conduct sub task analysis and calculate performance measures: task percent success, time on task, mouse clicks, and mouse movements.  Sequential pattern analysis will also be conducted to detect EHR features that tend to be accessed one after another in a consistent, consecutive order between novice and expert physicians. This will assist in identifying usability issues that may affect physician workflow. To record physicians’ visual attention patterns, a portable, remote eye-tracking device will be used. Markov chain will be used to estimate the probability of a physician moving from one EHR feature to the next to inform which EHR features should be close together on the EHR screen.

MUII alumnus Saif Khairat (2011 graduate) joins School of Nursing at University of North Carolina-Chapel Hill as a tenure-track Assistant Professor in January 2015 after serving as a Clinical Assistant Professor at the Institute for Health Informatics at the University of Minnesota since January 2012.

Published on 01/12/2015

Showing 1-10 of 20

Back to top