Research and Development
RISI Research and Development Overview
RISI Research and Development (R&D) was created in early 2013. The mission of R&D is to collaborate with researchers and clinicians on problem solving to enhance clinical research through advanced informatics methodologies and disruptive technology. R&D is a small division with ~25 diverse talents. We are proud to be an agile group, accelerating innovation through wide array of services. There are four teams in R&D: Data Collaboration, Big Data, Data Science, and Design and Technology.
The Data Collaboration team helps researchers get access to our EHR data, augment data sets through additional electronic data collection, and enable multisite collaboration through data standardization. This team consists of Data Architects, ETL Programmers, DBA, and Data Analysts.
The Data Science team employs advanced analytics such as NLP, statistical model, machine learning, and geospatial analysis to enable text analytics and predictive modeling to gain insights from data. This team is comprised of Computer Scientists, Statisticians, and Geospatial Information Scientists.
The Design and Technology team designs digital, physical or hybrid solutions that interface with people. In addition to providing key functionalities, they focus on the people and process aspects of a project, to ensure the solution adoption by the end users through co-design, usability testing, and Design and Technology engineering. It is a multidisciplinary team within itself, composed of Artists, Designers, a Design and Technology Specialist, Cognitive Scientist, and Full Stack Developers.
Below is a list of peer-reviewed publications that R&D authored and/or co-authored:
- Wei Chen, Krista K. Wheeler, Simon Lin, Yungui Huang, Huiyun Xiang, Computerized “Learn-As-You-Go” classification of traumatic brain injuries using NEISS narrative data, Accident Analysis & Prevention, Volume 89, April 2016, Pages 111-117, ISSN 0001-4575, http://dx.doi.org/10.1016/j.aap.2016.01.012.
- Wei Chen, Yungui Huang, Boyle Brendan, Simon Lin, “The Utility of Including Pathology Notes in the Computational Identification of Patients for a Celiac Disease Registry” – submitted for publication to Journal of Pathology Informatics, January 2016.
- Utidjian L, Hoyt R, Reynolds M, et.al. “Identifying and Understanding Data Quality Issues in a Pediatric Distributed Research Network” abstract submitted to Pediatric Academic Societies (PAS) 2016 Meeting in Baltimore, MD, April 30-May 3.
- Cameron Best, Robert Strouse, Victoria Pepper, Ekene Onwuka, Toshiharu Shinoka, Kan Hor, and Christopher Breuer. (2016, March) 3D-printing a closed disposable seeding system for rapid preparation of patient specific tissue engineered vascular grafts. Poster presentation at: 9th Annual Translational to Clinical Regenerative Medicine Wound Care Conference; Columbus, OH.
- Alice Grinshencko, John Luna, Jeremy PattersonAlice Grishchenko, John Luna, and Jeremy Patterson. 2016. Voxel bay: VR as a distraction for pediatric pain. In ACM SIGGRAPH 2016 Talks (SIGGRAPH ’16). ACM, New York, NY, USA, , Article 94 , 2 pages. DOI: http://dx.doi.org/10.1145/2897839.2927403
- Soheil Moosavinasab, Jeremy Patterson, Robert Strouse, Majid Rastegar-Mojarad, Kelly Regan, Philip R. O. Payne, Yungui Huang, Simon M. Lin, “RE:fine Drugs”: An Interactive Dashboard to Access Drug Repurposing Opportunities. Database Journal, Oxford Press, May 2016. Link
- Carl H. Backes MD1,2,3, Elizabeth Bonachea MD1,3, Brian K. Rivera MS1,, Megan Reynolds BA8, Claire Kovalchin BS1, Kristina Reber MD1,3, Molly Ball MD1, Ronald Sutsko DO5, Saketh Guntupalli MD6, Charles V. Smith PhD4, John Mahan MD3, Melissa Carbajal MD7 Preparedness of Pediatric Residents for Fellowship: A Survey of US Neonatology Fellowship Program Directors (In Press) Journal of Perinatology
- Columbus Monthly Magazine : “Ahead of the Pack : From virtual reality to lasers and beyond, Central Ohio physicians and researchers are using new technology and initiatives to better treat patients.”, Shyla Nott.
- Rajeswari Swaminathan, Yungui Huang, Soheil Moosavinasab, Ronald Buckley, Christopher W Bartlett, Simon M Lin. A review on Genomics APIs. Computational and structural Biotechnology Journal. Published on October 31 2015
- Soheil Moosavinasab, Jeremy Patterson, Krista K. Wheeler, Robert Strouse, Huiyun Xiang, Yungui Huang, Simon M. Lin. “RE:fine NEISS”: a real-time interaction search system for product-related injuries presented to US hospital emergency departments, Journal of Healthcare Information Management, 29 (3): 39-45, 2015
- Papautsky, E. L., Dominguez, C., Strouse, R., & Moon, B. (in press, Dec 2015). Integration of cognitive task analysis and design thinking for autonomous helicopter displays. Journal of Cognitive Engineering and Decision Making. DOI: 10.1177/1555343415602624
- Dominguez, C., Strouse, R., Papautsky, L, & Moon, B. (2015). Cognitive Design of an Application Enabling Remote Bases to Receive Unmanned Helicopter Resupply. Journal of Human-Robot Interaction, 4(2), pp. 50-60.
- Chen W, Wheeler KK, Huang Y, Lin S, Sui DZ, Xiang H. Evaluation of Spatial Accessibility to Ohio Trauma Centers Using a GIS-based Gravity Model. British Journal of Medicine & Medical Research. 2015;10(7):1-12.
- Chen W, Kowatch R, Lin S, Splaingard M, Huang Y. Interactive Cohort Identification of Sleep Disorder Patients Using Natural Language Processing and i2b2. Applied Clinical Informatics. 2015;6(2):345-63.
- Zhou, X., Zheng, A., Yin, J., Chen, R., Zhao, X., Xu, W., … & Lin, S. (2015). Context-Sensitive Spelling Correction of Consumer-Generated Content on Health Care. JMIR medical informatics, 3(3), e27.
- Zhang W, Yu Y, Hertwig F, Thierry-Mieg J, …, Lin SM, … & Rosswog C (2015). Comparison of RNA-seq and microarray-based models for clinical endpoint prediction. Genome Biology, 16(1), 1-12.
- Herr, T M, …, Lin SM, … & Starren J (2015). Practical considerations in genomic decision support: The eMERGE experience. Journal of Pathology Informatics, 6(1), 50.
- Ye Z, Kadolph C, Strenn R, Wall D, McPherson E, Lin S. WHATIF: An open-source desktop application for extraction and management of the incidental findings from next-generation sequencing variant data. Comput Biol Med. 2015 Apr 8. pii: S0010-4825(15)00106-7. doi: 10.1016/j.compbiomed.2015.03.028. [Epub ahead of print] PubMed PMID: 25890833.
- He M, Person TN, Hebbring SJ, Heinzen E, Ye Z, Schrodi SJ, McPherson EW, Lin SM, Peissig PL, Brilliant MH, O’Rawe J, Robison RJ, Lyon GJ, Wang K. SeqHBase: a big data toolset for family based sequencing data analysis. J Med Genet. 2015 Apr;52(4):282-8. doi: 10.1136/jmedgenet-2014-102907. Epub 2015 Jan 13. PubMed PMID: 25587064; PubMed Central PMCID: PMC4382803.
- Bele A, Mirza S, Zhang Y, Ahmad Mir R, Lin S, Kim JH, Gurumurthy CB, West W, Qiu F, Band H, Band V. The cell cycle regulator ecdysoneless cooperates with H-Ras to promote oncogenic transformation of human mammary epithelial cells. Cell Cycle. 2015 Apr 3;14(7):990-1000. doi: 10.1080/15384101.2015.1006982. PubMed PMID: 25616580.
- Hebbring SJ, Rastegar-Mojarad M, Ye Z, Mayer J, Jacobson C, Lin S. Application of clinical text data for phenome-wide association studies (PheWASs). Bioinformatics. 2015 Feb 4. pii: btv076. [Epub ahead of print] PubMed PMID: 25657332.
- Rastegar-Mojarad M, Ye Z, Kolesar JM, Hebbring SJ, Lin SM. Opportunities for drug repositioning from phenome-wide association studies. Nature Biotechnology 2015 Apr 7;33(4):342-5. doi: 10.1038/nbt.3183. PubMed PMID: 25850054.
RISI Research and Development Services
If you have projects that would benefit from R&D services, we’d love to collaborate with you to understand your problem, evaluate possible approaches, and co-design an optimal solution. Here is the typical process of engage R&D services:
- we meet with you for an initial free consultation
- we evaluate feasibility and research approaches
- we follow up with a meeting or emails to clarify understanding of the problem
- further feasibility evaluation may occur before proceeding
- we propose a project approach and provides an estimate of work and timeline
- we proceed with development under proposed timeline with formal budget approval
There are multiple ways to financially support RISI Research and Development (R&D) services.
- Allocate effort level for RISI R&D personnel in your grant proposal
- Chargeback on a cost center based on estimated effort using the two-tier charge model outlined below
- Apply for CCTS voucher to cover for R&D core services (2016 max is $3,000)
Services under this category support the needs of electronic data capture (EDC) and web-based survey needs. RISI R&D now supports REDCap, OpenClinica, and Teleforms. comparison of REDCap and OpenClinica features can be found on each application’s page.
For each EDC project, we provide:
- User set up and activation
- Training sessions
- Study, site, and event/visit setup – Includes setting up each site as a discrete entity under the main study. The site and site data is accessible only to staff from that site, including the study director and data manager.
- Development of electronic case report forms (eCRF)
- eCRF modifications pre- and post-production
- Administrative and technical assistance with the system
RISI R&D also provides custom solutions in the following areas:
Custom Application Development (Creative / Interactive / Design and Technology)
Our team develops holistic strategies for your custom application and mobile/device specific needs ranging from tailoring and designing the perfect Design and Technology focused concisely for unique audience to choosing the best of breed technology to realize the project’s goals with the highest degree of quality.
Our team provides end to end data solutions for your research needs. We offer managed enterprise-level database solutions including complete database design, housing and implementation, scalable de-identified data warehousing, reporting and honest broker services.
Our team designs and implements reliable, scalable and intelligent applications to provide fast information retrieval, text/data processing, mining, and analytics, on datasets of any size and any structure.
We are very interested in hearing from researchers about how we can improve the services we currently provide and what additional services are needed. Email your suggestions to email@example.com or if you prefer anonymous feedback, click here.
Service requests can be submitted at http://help, by emailing firstname.lastname@example.org, or by calling the RIT Service Desk at (614)355-5600 Monday through Friday between 8 AM and 5 PM.