Genetic targets for autism spectrum disorder identified by MU team
February 22, 2018
COLUMBIA, Mo. – Autism is a spectrum of closely related symptoms involving behavioral, social and cognitive deficits. Early detection of autism in children is key to producing the best outcomes; however, searching for the genetic causes of autism is complicated by various symptoms found within the spectrum. Now, a multi-disciplinary team of researchers at the […]
An RNAmazing research breakthrough
December 19, 2017
Professor of Bioengineering and the Dalton Cardiovascular Research Center Li-Qun (Andrew) Gu and Shi-Jie Chen, joint Professor of Physics, Biochemistry and the MU Informatics Institute and their team recently published “Nanopore electric snapshots of an RNA tertiary folding pathway,” in the prestigious journal Nature Communications.
Dr. Gregory Alexander recently awarded AHRQ grant.
October 9, 2017
Dr. Gregory Alexander, from The Sinclair School of Nursing, was recently awarded a $1,995,522.00 AHRQ grant. This grant will support an interdisciplinary research team who are already contributing to clinical research in long-term care settings. The PI is a doctorally-prepared RN and fellow in the American Academy of Nursing with over two decades of work […]
Leadership Auditorium, 2501 Student Center
Using Social Network Analysis to Describe Communication Practices in Healthcare
The Electronic Medical Record (EMR) serves different purposes including documentation of care and billing. The EMR is used to document care delivery, monitor ongoing clinical conditions, and it is also the repository of the patients’ healthcare story. Many people, including healthcare providers, nurses, social workers, therapists, office staff, and nurse care managers (known as the interdisciplinary team, or IDT) work together to deliver healthcare. Members of the IDT use the secure messaging application “Message Center” via the EMR to communicate with, and receive communication from, patients via eHealth (patient portal). An essential part of care coordination is communication, and an analysis of social networks of care providers offers insight into the complexity of care coordination. This research aims to describe how the EMR is used in primary care by nurse care coordinators and other actors across settings to document care coordination activities. Social Network Analysis is used here to expose, map and extract the communication between different users of the EMR.
2206A Student Center
Challenges for the analysis of healthcare reports using natural language processing
Healthcare professionals generate, transmit, and store healthcare records as free-text documents these are the traditional“physician’s reports” or “physician’s notes”. These reports contain complex biomedical data, demographic information, location data, etc. However, free text data are a poor starting point for complex data management, aggregation and processing tasks with computational models. For data-based applications, information from healthcare reports, biomedical tests, radiology impressions and the like should be available in discrete and machine-processable form. Natural language processing (NLP), a subfield of artificial intelligence, includes techniques for manipulating and interpreting free text data for analyses with computers. Here, we briefly discuss free-textpreprocessing, an early challenge for the analysis of healthcare reports using NLP.
2206A Student Center
Applying Blockchain Technology for Health Information Exchange and Persistent Monitoring for Clinical Trials
“Blockchain” is a distributed ledger technology originally applied in the financial sector. This technology ensures the integrity of transactions without third-party validation. Its functions of decentralized transaction validation, data provenance, data sharing, and data integration are a good fit for the needs of health information exchange and clinical trials. We investigated the current workflow of Health Information Exchange and clinical trials; conducted design thinking processes with clinicians, trial managers, informaticians, and blockchain professionals; and implemented a blockchain model to tackle known issues. We used coded Smart Contract regulations to simulate several scenarios in healthcare processes. This proof-of-concept work provides a feasible simulation for potential solutions to monitor clinical trials across different census regions persistently. Various levels of data access privileges have been designed to utilize a suite of customized Smart Contract settings. These settings emulate the workflow protocols for the monitoring entities, trial sponsors, clinical sponsors and participating subjects.