The Advanced Modular Manikin Open Source Platform for Healthcare Simulation.

INTRODUCTION: Current thinking in healthcare education stipulates a holistic approach with a focus on patient management, bringing together technical skills, decision-making, and team performance. In parallel, training opportunities with actual patients have diminished, and the number of different interventions to master has increased. Training on simulators has become broadly accepted; however, requirements for such training devices have outpaced the development of new simulators. The Department of Defense (DoD) targeted this gap with a development challenge. This article introduces the Advanced Modular Manikin (AMM) platform and describes the path followed to address the challenge. MATERIALS AND METHODS: Under Contract # W81XWH-14-C-0101, our interdisciplinary team of healthcare providers, educators, engineers, and scientists, together with partners in industry and the government collaborated to establish a set of comprehensive requirements and develop an overarching system architecture and specifications to meet healthcare simulation needs. In order to instantiate the architecture and investigate usability of the platform, a demonstration modular manikin was created that incorporated physical and digital peripherals. RESULTS: The system architecture and corresponding data models have been completed and published as open source. A developer's tool kit has been created, including instructional materials and required hardware and software for interested parties to develop AMM-compatible modules. A reference manikin was created based on the platform specifications and successfully supported a usability study that was performed by the American College of Surgeons, Education Division at the Naval Medical Center San Diego. CONCLUSIONS: The formal release of a functional modular, interoperable open-source healthcare simulation platform is complete. Next steps involve a strategy for maintaining the open standards and verification of AMM-compatibility for modules. Increasing awareness of this powerful tool and prioritization of module-development to address the wide range of healthcare education needs could lead to a renaissance in military and civilian healthcare simulation-based training.

Dynamic human MutSα-MutLα complexes compact mismatched DNA.

DNA mismatch repair (MMR) corrects errors that occur during DNA replication. In humans, mutations in the proteins MutSα and MutLα that initiate MMR cause Lynch syndrome, the most common hereditary cancer. MutSα surveilles the DNA, and upon recognition of a replication error it undergoes adenosine triphosphate-dependent conformational changes and recruits MutLα. Subsequently, proliferating cell nuclear antigen (PCNA) activates MutLα to nick the error-containing strand to allow excision and resynthesis. The structure-function properties of these obligate MutSα-MutLα complexes remain mostly unexplored in higher eukaryotes, and models are predominately based on studies of prokaryotic proteins. Here, we utilize atomic force microscopy (AFM) coupled with other methods to reveal time- and concentration-dependent stoichiometries and conformations of assembling human MutSα-MutLα-DNA complexes. We find that they assemble into multimeric complexes comprising three to eight proteins around a mismatch on DNA. On the timescale of a few minutes, these complexes rearrange, folding and compacting the DNA. These observations contrast with dominant models of MMR initiation that envision diffusive MutS-MutL complexes that move away from the mismatch. Our results suggest MutSα localizes MutLα near the mismatch and promotes DNA configurations that could enhance MMR efficiency by facilitating MutLα nicking the DNA at multiple sites around the mismatch. In addition, such complexes may also protect the mismatch region from nucleosome reassembly until repair occurs, and they could potentially remodel adjacent nucleosomes.

The Minnesota pelvic trainer: a hybrid VR/physical pelvis for providing virtual mentorship.

Obtaining accurate understanding of three dimensional structures and their relationships is important in learning human anatomy. To leverage the learning advantages of using both physical and virtual models, we built a hybrid platform consisting of virtual and mannequin pelvis, motion tracking interface, anatomy and pathology knowledge base. The virtual mentorship concept is to allow learners to conveniently manipulate and explore the virtual pelvic structures through the mannequin model and VR interface, and practice on anatomy identification tasks and pathology quizzes more intuitively and interactively than in a traditional self-study classroom, and to reduce the demands of access to dissection lab or wet lab.

Phenomenological model of laser-tissue interaction with application to Benign Prostatic Hyperplasia (BPH) simulation.

Laser-tissue interaction is a multi-physics phenomenon not yet mathematically describable and computationally predictable. It is a challenge to model the laser-tissue interaction for real time laser Benign Prostatic Hyperplasia (BPH) simulation which requires the laser-tissue interaction model to be computationally efficient and accurate. Under the consideration and enforcement of the thermodynamic first law and treating the laser-tissue interaction as a gray-box, utilizing the sensitivity analysis of some key parameters that will affect the laser intensity on the tissue surface with respect to the tissue vaporization rate, a phenomenological model of laser-tissue interaction is developed. The developed laser-tissue interaction model has been implemented for a laser BPH simulator and achieves real time performance (more than 30 frames per second). The model agrees well with the available experimental data.