Collaborators: Abigail Wooldridge, Illinois/Industrial and Enterprise Systems Engineering and Paul Jeziorczak, OSF
This project is the continuation of earlier research. It attempts to better measure the impact of improvements made to the process of handoffs which are important to provide opportunities to detect and correct errors. Recent work has conceptualized handoffs as team cognition, measured using human factor techniques outside of health care. Researchers believe team cognition theory can be applied to improve handoffs with education and technology-based interventions.
Collaborators: Minh N. Do, Illinois / Coordinated Science Laboratory and Joseph R. Evans, OSF/UICOMP
In an attempt to reduce the leading cause of cancer deaths in the United States, this project would combine imaging and genomic features to develop a radiogenomics risk signature, offering valuable information about the aggressiveness of the newly diagnosed lung cancer. Furthermore, this project takes advantage of and extends the OSF lung cancer screening program by establishing IRB-approved imaging and pathology repositories.
Collaborators: Vahid Tohidi, OSF and Pramod Chembrammel, Illinois/Health Care Engineering Systems Center
This proposal attempts to use a mixed-reality technology platform to train medical students, technicians, neurology residents and fellows how to better recognize pathological patterns in results of nerve conduction studies. Researchers believe this type of education will shorten the learning curve for accurate and effective application of NCS data in diagnosis of peripheral nerve disorders which can be debilitating for those impacted.
Collaborators: Hyunjoon Kong, Illinois/Bioengineering and Mark D. Plunkett, OSF
This project aims to 3D print realistic physical organs and tissues to help surgeons better plan for specific operations and train new surgeons. This team has developed a 3D printing approach, using materials that mimic the softness and toughness of anatomy. This work is expected to advance the field of clinical simulation to the next level.
Collaborators: Trina Croland, OSF/UICOMP and Abigail Wooldridge, Illinois/Industrial & Enterprise Systems Engineering
Jump Simulation created an augmented reality-based Pediatric Code Cart app that allows medical students and professionals to easily learn about the contents of the cart, how it works, and how to use it in the event of a pediatric emergency. This team will work to expand this platform to include additional adult resuscitation modules as well as procedural skills elements related to pediatric resuscitation.
Collaborators: Elizabeth Hsiao-Wecksler, Illinois/Mechanical Science and Engineering and Christopher Zallek, OSF/UICOMP
This group of individuals is expanding work to create multiple robotic arm simulators that mimic abnormal muscle behaviors. These training devices are expected to help medical students, interns, residents, nurses and physical/occupational therapists understand the difference between spasticity and rigidity in patients to correctly diagnose neurological conditions.
Collaborators: Lui Raymond Sha, Illinois/Computer Science and Richard Pearl, OSF/UICOMP
In an effort to help clinicians diagnose sepsis in pediatric patients sooner, this team is creating a computerized pediatric sepsis best practice guidance system. This software will allow for early detection, diagnosis and treatment of sepsis in children. The goal is to improve patient care and reduce medical errors. It will first be tested in a simulation setting.
Collaborators: Scott Barrows, OSF/Jump and Steve Boppart, Illinois/Bioengineering
This project expands on an augmented reality-based mobile app developed last year to train medical students in the identification, diagnosis and treatment of skin lesions, masses and other abnormalities. The second phase aims to give learners the ability to see beneath the skin to view skin lesions and their pathologies that cannot be seen on the surface.
Collaborators: Girish Krishnan, Illinois/Industrial Systems Engineering and Abraham Kocheril, OSF
This team is creating a realistic soft heart simulator that allows learners to feel what it’s like to poke and prod cardiac tissues to make crucial operating decisions. While this simulation device targets a specific surgical process for the heart, the idea is to create more soft structures for other surgical procedures.
Collaborators: Arif Masud, Illinois/Civil and Environmental Engineering and Matthew Bramlet, OSF/UICOMP
This group is developing a software module that allows surgeons to simulate the creation of complexly-shaped 2D heart patches in a virtual reality environment. Surgeons would use this simulation to determine the size and shape of a patch that needs cut from a 2D sheet of flexible cloth-like material that can be used in a real heart patch surgery.
Collaborators: Brad Sutton, Illinois/Bioengineering and Matthew Bramlet, OSF/UICOMP
This project expands on a previous effort to develop an automated segmentation program to create congenital heart defects in 3D, viewable in a variety of digital formats. The current proposal seeks to develop another automated segmentation platform for the creation of 3D content of the whole body for medical training in virtual reality.