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I know, this question is opinion-based, but where else should I ask it (or how could I ask it here without being flagged "opinon-based!")?
Which neuronal simulators - in the line of NEURON and GENESIS - are the "best", "mostly used", "mostly influential" today, not only in supercomputing, but also for small scale (personal) use?
The one I found best - even though designed for large scale applications - for my small scale (personal) requirements was nest, an explicit successor of NEURON. I have the impression, that nest is "better" for me than NEURON, in terms of usability, visualization, data exploration,… but I don't know if there aren't even better neuro-simulation tools.
Would anyone mind giving his/her opinion?
Another option, maximal in terms of flexibility albeit also possibly effort, is to write your own. Of course, this presupposes some extra knowledge. However, I think coding your own gives a level of control that may be very difficult to attain with a library. Hence, it depends on the application. (ModelDB has some examples of these.)
Of course, I don't recommend this for highly complicated cases (don't try to write your own code to solve SPDEs in volumetric meshes or something).
Using matlab or python (numpy & scipy) makes writing at least some of these models fairly straightforward, and both (especially the latter) have extraordinary scientific visualization capabilities. I have run neurosimulations like this on both my personal laptop and via hundreds of cores in clusters, so it is certainly viable in both cases.
Every model is approximation, and sometimes it is worth it to have better understanding and control of a simpler model than to have an enormously complicated one with huge numbers of different channels that may be hard to realistically choose (what is their spatial distribution and concentration? what are their parameters for the species of interest?). It depends on the phenomenon you want to simulate.
In any case, to speak of libraries, both NEST and NEURON seem like great choices. Personally, I've heard only of NEURON in any detail before.
I have only used NEURON and the DIY approach for small scale simulations.
You can have a look at this comparative table:
which was last updated in 2014. Except NEURON, GENESIS, and NEST, I have also heard positive comments about Brian.
Neuron Simulation, notes
Approaches, which, in turns, following out three branches of exploratory science:
- Informatics neuroscience (looking at trend, correlations and patterns in data),
- Theoretical neuroscience (explaining the data and predicting
- Computational neuroscience (creating minimal model that fit specific experimental data),
- Applied neuroscience (using neurosciences in medicine and engineering by notably building machine to see how the neurons work)
- & Simulation (or lqqd that this course is about).
- Dense reconstructions (it's about an ordered system so, opposite than it were about a random system) it's assumed to get done algorithmically (the smallest data set with & the [algorithm|s] which [rule|s] over).
- Bottom-up reconstructions,
- Iteratively reconstructions & test.
I am going to track this exploration on the subject on a handful of idea tools as keystrokes, connections | flows & systems | circuits.
- So, my first annotation here is the flow in which this approach about neuron as a whole is on, ion channels, synapses & neuron circuits.
- Now lets track the info source in terms of simulation so we can control also the replication method (rationale & the complexion itself got made)
- ion channel channel screening, biophysical screening so the explore the biophysics of these channels.. implying kinetics (open closed) of the channels, its distribution, combination, conductance, so modelling the ion channel, its morphology and | or its electrical behaviour,
- neurons paired recordings, staining the two..
- n. circuits antibody staining, in situ hybridization,
The question quiz here is indeed my point when defining the keystroke specially about (simulating) neuron.
— What is, in your opinion, the main challenge in mining of existing knowledge on the brain. I feel the keystroke about mining is the coding language we opted to interpret the data and build to simulations. As a programming language is necessary, the question easily gets deviation to the interface or media used itself, its virtues, shortcomings and so on. Especially if researchers are previously versed in any of them. I do not think this fact were intrinsic wrong, researchers should be able to explain their approaches within plenty of comfort zones. However this fact triggers at least two inconveniences: First, it narrows the replication, or, the result evaluation or, lets also call it, the discussion phase, into groups based on the language media used to expose the results or its eventual approaches. How many times me myself, as student or, just as, an intelligent plain man interested in the field have had to just observe what exposed and without ability to replying because of the programming language barrier. So that as soon as you decide to get levelled-enough literacy to, in turn, get into that specific discussion some more interactive, reply based on whatever different language tool there were out, shows up. So that, the easy route this question ends up is a kind of school of exposition problem.
A second inconvenience is the virtues of the media or language in question itself. A lot of discussions as I found got suck as function of packages used to expose approaches.
I think we have to agree in a kind of standard, a kind of pseudo code as a default language so that any researcher were able to replicate results.
- Hey, —mmm… —when, a kind of, positive difference, should not be considered an advantage, is that like, as I should get it rendered this, kind of, dissonance? Look at this question [ref: week1, practice quiz :reconstruction strategies] or is it just another issue for my WTF series collection?
- critical data may be missing
- biological data has a lot of mistakes (actually there are much more mistakes than accurate data)
- there are a lot of disciplines involved (which is not a caveat, really, though it get things complicated, critically complicated, actually).
Single neuron data.
Basically in search of: IR-DC microscope,
Hey, following a crash course on #mozillaNetwork projects I run out with this by itself gorgeous tools: The brain box and Cytoscape a graph JS library useful as we are here trying to perform visual simulation, so let's check for it later in this course.
Graded Quiz 1: An introduction to Simulation Neuroscience
Graded week quiz This content is graded
Neuro-simulation modeling of chemical flooding
Chemical flooding has proved to enhance oil recovery of reservoirs considerably. Development strategies of this method are more efficient when they consider both aspects of operation (recovery factor, RF) and economics (net present value, NPV). In this study, a multi-layer perceptron (MLP) neural network is developed for modeling of chemical flooding using surfactant and polymer via prediction of both RF and NPV in a unique model. The modeling algorithm is divided into three processes: training, generalization, and operation. In training process, the initial structure of the network is trained, and then the architecture of the trained network is optimized for reduction of prediction errors in generalization process. Furthermore, the optimum structure is compared with other methods like Radial Basis Function (RBF) neural network, quadratic and multi-objective regressions. The optimum architecture of the network contains one hidden layer with 8 neurons and training function of Bayesian regularization. In operation process, sensitivity analysis is studied for evaluating of effective parameters (inputs) on the performance of chemical flooding. The error is always less than 5% during the implementation of all processes. The results demonstrate that neuro-simulation of chemical flooding is reliable, inexpensive, fast in computational effort, and capable in accurate prediction of both RF and NPV in one model.
► We develop an ANN model for neuro-simulation analysis of chemical flooding. ► Our model is capable of predicting both recovery factor and NPV in a unified model. ► The ANN is an optimized multi-layer perceptron (MLP) neural network. ► Acceptable error of modeling (< 5%) indicates the efficiency of neuro- simulation. ► Neuro-simulation is a good alternative for expensive and time-consuming simulators.
All Science Journal Classification (ASJC) codes
Research output : Contribution to journal › Article › peer-review
T1 - Neuro-simulation analysis of pressure maintenance operations in gas condensate reservoirs
N2 - The study of near-critical gas reservoirs, or gas condensate reservoirs, has been a fertile area of research in the last decades, especially because of their singular depletion behavior which cast them apart from other types of oil and gas reservoirs. Typically, exploiting a gas condensate reservoir without pressure maintenance generates high surface gas recoveries with relatively low condensate recoveries. Appearance of a hydrocarbon liquid phase upon isothermal depletion is typical of these systems, and major concerns arise related to the loss of this valuable fraction of heavier hydrocarbons and the associated impairment in gas production around the wellbore region. To provide reservoir pressure support, the injection of either surface gas or other gases such as nitrogen is common for pressure maintenance purposes. Pressure maintenance is economically justified by keeping the reservoir pressure above dew point or revaporizing any valuable condensate that might have formed. The convenience of the gas injection operation for a specific gas condensate reservoir is strongly tied to the flow characteristics of the reservoir and phase behavior of the fluid. Highly sophisticated and expensive compositional simulations are usually employed in order to estimate reservoir performance under gas cycling operations. In this study, we propose the implementation of artificial neural network (ANN) technology towards the establishment of an expert system capable of learning the existing vaguely understood relationships between the input parameters and output response of compositional simulation of gas cycling operations in gas condensate reservoirs. Parametric studies are conducted which identify the most influential reservoir and fluid characteristics in the establishment of optimum production protocols for the implementation of the pressure maintenance operation. As a result, a powerful tool for the implementation of pressure maintenance operations in gas condensate reservoirs is developed. This tool is capable of assisting in designing an optimized exploitation scheme for a particular reservoir under consideration for development. Fast, reliable, and inexpensive results are obtained using the proposed approach while capturing the important flow and thermodynamic characteristics inherent to such systems without resorting to detailed and expensive compositional simulation studies.
AB - The study of near-critical gas reservoirs, or gas condensate reservoirs, has been a fertile area of research in the last decades, especially because of their singular depletion behavior which cast them apart from other types of oil and gas reservoirs. Typically, exploiting a gas condensate reservoir without pressure maintenance generates high surface gas recoveries with relatively low condensate recoveries. Appearance of a hydrocarbon liquid phase upon isothermal depletion is typical of these systems, and major concerns arise related to the loss of this valuable fraction of heavier hydrocarbons and the associated impairment in gas production around the wellbore region. To provide reservoir pressure support, the injection of either surface gas or other gases such as nitrogen is common for pressure maintenance purposes. Pressure maintenance is economically justified by keeping the reservoir pressure above dew point or revaporizing any valuable condensate that might have formed. The convenience of the gas injection operation for a specific gas condensate reservoir is strongly tied to the flow characteristics of the reservoir and phase behavior of the fluid. Highly sophisticated and expensive compositional simulations are usually employed in order to estimate reservoir performance under gas cycling operations. In this study, we propose the implementation of artificial neural network (ANN) technology towards the establishment of an expert system capable of learning the existing vaguely understood relationships between the input parameters and output response of compositional simulation of gas cycling operations in gas condensate reservoirs. Parametric studies are conducted which identify the most influential reservoir and fluid characteristics in the establishment of optimum production protocols for the implementation of the pressure maintenance operation. As a result, a powerful tool for the implementation of pressure maintenance operations in gas condensate reservoirs is developed. This tool is capable of assisting in designing an optimized exploitation scheme for a particular reservoir under consideration for development. Fast, reliable, and inexpensive results are obtained using the proposed approach while capturing the important flow and thermodynamic characteristics inherent to such systems without resorting to detailed and expensive compositional simulation studies.
Juan Moctezuma currently works as a FPGA design/validation engineer at INTEL campus Zapopan, Mexico. He belongs to the PPA (Pre-Silicon Platform Acceleration) group working with Virtual Platforms, FPGAs and Emulation tools to deliver efficient validation/test platforms. His primary goal is doing research/development in embedded systems, hardware architecture design, high-tech projects and bio-inspired systems. Also promote FPGA technology in academic and research institutions or companies in Mexico and be part of research/industry projects related with my areas of interest. In December 2014, He obtained a PhD in Electronic Engineering at University of Bristol in UK working with emulating biophysically accurate neuron models.
From 2008 to 2010, he worked in Prefixa Vision Systems as a HW/SW engineer developing embedded systems in FPGAs. In 2008, he completed the MSc degree in Computer Science at INAOE, Mexico.
Professor Joe McGeehan completed his PhD in 1971 and since then has been very active in many aspects of research and teaching in the field of Communications. On joining the University of Bristol in 1985, after several years in industry and a period at the University of Bath, he established the Centre for Communications Research (CCR). He has been conducting research and development into mobile communications technologies and systems since 1973 and has pioneered with colleagues many of the major developments in the field including: deterministric ray-tracing for propagation prediction and network coverage, linear modulation techniques and systems, linearised RF power amplifiers, SMART antennas, wideband CDMA for 3G, WLAN technologies and 60 GHz propagation and communication systems.
Jose Nunez-Yanez is a senior lecturer in digital systems at the University of Bristol and member of the microelectronics group. He holds a PhD in hardware-based parallel data compression from the University of Loughborough, UK, with three patents awarded on the topic of high-speed parallel data compression. His main area of expertise is in the design of reconfigurable architectures for signal processing with a focus on run-time adaptation, parallelism and energy-efficiency. In 2006 he was a Marie Curie research fellow at ST Microelectronics, Milan, Italy working on the automatic design of accelerators for video processing. In 2011 he was a Royal Society research fellow at ARM Ltd., Cambridge, UK working on high-level modelling of the energy consumption of heterogeneous many-core systems. He is the PI in several industrial and UK research council projects including ARM and the European Space Agency (ESA) obtaining best papers awards as part of this work. He is currently involved as a co-investigator in the EU ENTRA and Energy-ICT FP7 projects.
Lake, Larry W. "Enhanced oil recovery." (1989): 17-39.
Al Adasani, Ahmad, and Baojun Bai. "Analysis of EOR projects and updated screening criteria." Journal of Petroleum Science and Engineering 79, no. 1 (2011): 10-24.
Parada, Claudia Helena, and Turgay Ertekin. "A new screening tool for improved oil recovery methods using artificial neural networks." In SPE Western Regional Meeting. Society of Petroleum Engineers, 2012.
Trauth, Martin H., Robin Gebbers, Norbert Marwan, and Elisabeth Sillmann. MATLAB recipes for earth sciences. Vol. 34. Berlin: Springer, 2007.
Moore, Holly. MATLAB for Engineers. Pearson Prentice Hall, 2007.
Manual, C. M. G. "Computer Modeling Group." Component Adsorption and Blockage in Appendix D 7 (2008).
Green, D. W., and G. P. Willhite. "Enhanced oil Recovery, vol. 6." SPE Textbook Series, TX, USA (1998).
Fausett, Laurene, and Laurene Fausett. Fundamentals of neural networks: architectures, algorithms, and applications. No. 006.3. Prentice-Hall, 1994.
Samuel Armacanqui, J., and Ahmed Mohamed Hassan. "The Use of an Operational Filter Boosted Artificial Neural Network for Selection of Enhanced Oil Recovery Technique." In SPE North Africa Technical Conference and Exhibition. Society of Petroleum Engineers, 2015.
Surguchev, Leonid, and Lun Li. "IOR evaluation and applicability screening using artificial neural networks." In SPE/DOE Improved Oil Recovery Symposium. Society of Petroleum Engineers, 2000.
Alvarado, Vladimir, Aaron Ranson, Karen Hernandez, Eduardo Manrique, Justo Matheus, Tamara Liscano, and Natasha Prosperi. "Selection of EOR/IOR opportunities based on machine learning." In European Petroleum Conference. Society of Petroleum Engineers, 2002.
Ayala, Luis F., Turgay Ertekin, and Michael Adewumi. "Optimized Exploitation of Gas-Condensate Reservoirs Using Neuro-Simulation." In SPE Asia Pacific Oil and Gas Conference and Exhibition. Society of Petroleum Engineers, 2004.
Olufemi, Odusote, Turgay Ertekin, Duane H. Smith, Grant Bromhal, W. Neal Sams, and Sinisha Jikich. "Carbon Dioxide Sequestration in Coal Seams: A Parametric Study and Development of a Practical Prediction/Screening Tool Using Neuro-Simulation." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2004.
Gorucu, Fatma Burcu, Turgay Ertekin, Grant S. Bromhal, Duane H. Smith, W. Neal Sams, and Sinisha A. Jikich. "A Neurosimulation Tool for Predicting Performance in Enhanced Coalbed Methane and CO2, Sequestration Projects." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2005.
Al-Dousari, Mabkhout M., and Ali A. Garrouch. "An artificial neural network model for predicting the recovery performance of surfactant polymer floods." Journal of Petroleum Science and Engineering 109 (2013): 51-62.
Siena, Martina, Alberto Guadagnini, Ernesto Della Rossa, Andrea Lamberti, Franco Masserano, and Marco Rotondi. "A new Bayesian approach for analogs evaluation in advanced EOR screening." In EUROPEC 2015. Society of Petroleum Engineers, 2015.
Eghbali, Sara, Shahab Ayatollahi, and Ramin Bozorgmehry Boozarjomehry. "New expert system for enhanced oil recovery screening in non-fractured oil reservoirs." Fuzzy Sets and Systems 293 (2016): 80-94.
Le Van, Si, and Bo Hyun Chon. "Evaluating the critical performances of a CO2–Enhanced oil recovery process using artificial neural network models." Journal of Petroleum Science and Engineering 157 (2017): 207-222.
Taber, Joseph John, F. D. Martin, and R. S. Seright. "EOR screening criteria revisited-Part 1: Introduction to screening criteria and enhanced recovery field projects." SPE Reservoir Engineering 12, no. 03 (1997): 189-198.
Brooks, Royal Harvard, and Arthur Thomas Corey. "Hydraulic properties of porous media and their relation to drainage design." Transactions of the ASAE 7, no. 1 (1964): 26-0028.
Minakowski, Claudia Helena Parada. An artificial neural network based tool-box for screening and designing improved oil recovery methods. The Pennsylvania State University, 2008.
Copyright (c) 2017 Soheil Bahrekazemi, Mahnaz Hekmatzadeh
Petroleum Engineering Department, Science and Research Branch, Islamic Azad University, Tehran, Iran
Iran, Islamic Republic of
IOR Research Institute, Tehran, Iran
Iran, Islamic Republic of
European High-tech and Emerging Research Association (EUHERA)
It is a great honor for the Emerging Science Journal to be accepted for inclusion in Scopus.
Sim4Life, with its expanded simulative abilities of T-NEURO, permits the investigation of the mechanisms of interaction between EM fields and the electrical activity of neuronal membranes. A wide range of applications ranging from neurostimulation investigations (e.g. transcranial electric (TES) and magnetic (TMS) stimulation), safety (e.g. against peripheral nerve stimulation (PNS) in magnetic resonance imaging (MRI)), as well as the computationally assisted development of electroceuticals or neuroprostetic devices, is now possible. Anatomically realistic compartmentalized electrophysiological representations of axons and neurons modeled using NEURON  libraries according to Sim4Life pre-defined biophysical models or available in the web-depository databases – can be positioned within the computational human head/body models to predict the physiological response of nerve and neurons to applied electric (E-) or magnetic (M-) fields. Highly customizable solutions for modeling, execution of simulations, and post-processing analysis for numerical optimization are also provided in Sim4Life.
1. Modeling of VN Geometry, Electrodes, and EM Simulations
2D section of Helmers’s VN model  (top) simplified 3D model (middle) anatomically realistic VN model that follows the trajectory of the VN in the MIDA model [2,5] (bottom).
Cross-sectional 2D VN models that feature, e.g., epineurium, perineurium, and fascicles, can be created from medical images or scratched in Sim4Life (see Figure top) with the graphical user interface (GUI). 3D models of the VN can be created, for example, by extruding realistic 2D nerve cross sections along user-defined trajectories (see Figure middle), or along anatomical nerve trajectories within computational human models (see Figure bottom) Electrode geometries can be imported in Sim4life as CAD files or created as parameterized model objects even using available templates entities (helical, spiral, etc.).
Sim4Life’s electro-quasi-static current dominated (EQSCD) solver can be used to set up low frequency EM simulations for either homogeneous or anisotropic dielectric tissue parameters. Electrode voltages may be assigned as Dirichlet boundary conditions.
Sim4Life’s post-processing tools permit the analysis and visualization of exposure-related quantities such as E-field distribution, input currents at electrodes as well as neurostimulation-related quantities as Eigenvalues and Eigenvectors of the E-field Jacobian to identify regions of neurostimulation on the basis of the ‘activation function concept’ .
2. Creation of Axonal Trajectories and Functionalization
Fascicles populated with axonal trajectories modeled as lines.
Axonal trajectories, created in terms of splines either using the GUI CAD features or numerically using the Python interface can be positioned in the relevant structures (i.e., fascicles) according to user-defined rules (number of axons, length, displacement, etc.) or following realistic nerve trajectories in computational human models. They can be created as well as random spline trajectories within specified entities (for example within fascicles) using the Sim4Life IMSafe tool for implant safety evaluations.
Complete electrophysiological axonal models are created assigning fiber diameters and pre-defined biophysical models (SENN , Sweeney , MOTOR ) or custom (as hoc files) to the axonal trajectories. Nerves can be functionalized with arbitrary number of axons and arbitrary biophysical descriptions to mime realistic mixture of A-, B-, and C- fibers.
3. Execution of T-NEURO Simulation
T-Neuro simulations can be executed serially or in parallel. Each simulation can include multiple independent electric sources of neurostimulation (as in the case of electrode arrays), each with its own stimulation waveform.
Point or line sensors can be defined to record transmembrane potential or currents information, to be used for post-pro analyses. The implemented ‘titration procedure’ is fundamental to identify threshold values of E-field or stimulation related quantities (such as input currents) for initiation of action potentials (APs) within each individual axon in the model.
Visualization of the activation function along fiber trajectories (top) examples of fiber recruitment curves for three types of axons populations (bottom).
Sim4Life provides multiple options for data visualization (slice and surface view, vector field view and streamline, etc.) including the calculation of E-field related integrals (i.e., flux integrator), the visualization or animation of transmembrane voltages or current profiles. These features can be also used for the visualization of customized post-pro quantities derived from python script (e.g., compound action potentials).
The activation function, predictor of the site of neurostimulation, can be visualized along the axonal geometries (see Figure top). The titration sensor provides threshold E-fields for spike initiation, time and location of spike initiation and permits to derive fiber recruitment curves (Figure bottom).
All post-processing results can be exported for further analysis in MATLAB or Excel. Python scripts and the Sweeper tool can be used to customize optimization procedures aimed, for example, at identifying steering parameters for selective stimulation (e.g. recruitment of either A-, B-, or C- fibers) or to optimize electrodes geometry.
Aiming at the actual demands of petroleum exploration and development, this paper describes the research progress and application of artificial intelligence (AI) in petroleum exploration and development, and discusses the applications and development directions of AI in the future. Machine learning has been preliminarily applied in lithology identification, logging curve reconstruction, reservoir parameter estimation, and other logging processing and interpretation, exhibiting great potential. Computer vision is effective in picking of seismic first breaks, fault identification, and other seismic processing and interpretation. Deep learning and optimization technology have been applied to reservoir engineering, and realized the real-time optimization of waterflooding development and prediction of oil and gas production. The application of data mining in drilling, completion, and surface facility engineering etc. has resulted in intelligent equipment and integrated software. The potential development directions of artificial intelligence in petroleum exploration and development are intelligent production equipment, automatic processing and interpretation, and professional software platform. The highlights of development will be digital basins, fast intelligent imaging logging tools, intelligent seismic nodal acquisition systems, intelligent rotary-steering drilling, intelligent fracturing technology and equipment, real-time monitoring and control of zonal injection and production.
By now very few analytical models have been developed to select well refracture candidates due to complicated multi-parameter relationships. In this study, we proposed a new method by merging mathematical data analysis with feed forward back propagation neural network utilizing post-fracturing data. The model preference is thereby based on the correlation coefficients of several selected independent variables against production performance.
The solution to this expense is a tool that can identify restimulation candidates quickly and economically. We employ two mathematical analysis techniques to filter several independent yet influential parameters as inputs. These parameters are supposed to be primary factors with high impact on potential production improvement. Then we use these well data to train an artificial neural network (ANN) to predict post-fracture production. The errors of the best samples should decrease consistently along with the training samples. A minimal error of the training sets is not necessary because over-fitting of the network could be memorizing rather than generalizing. The testing results showed that there is higher than 80% prediction accuracy, which is good enough for decision making. This methodology gives credible prediction results when it is applied in Zhongyuan oilfield and provides the operators with useful recommendations to make decisions for restimulation.
About Healthcare Simulation – Resources, Jobs & More…
Healthcare Simulation is the modern way to educate and train healthcare professionals to master cognitive, technical, and behavioral skill sets through technologically advanced crafted experiences. This style of experiential learning enables professionals and learners to practice and test their profession while building confidence in their abilities, prior to working in real world scenarios. Healthcare Simulation is also commonly referred to as Medical Simulation, or in specific circumstances Surgical Simulation and Nursing Simulation. See the latest simulation books, research, conferences and jobs!
HealthySimulation.com is dedicated to providing the latest #MedSim news and resources from around the world. To follow along, sign up for our free medical simulation email newsletter, follow @HealthySim on Twitter and @HealthySim on Facebook, or join our HealthySim LinkedIn Group!
Not only does healthcare simulation, aka medical simulation, help to ensure that professionals and facilities are offering the highest quality services, but healthcare simulation also ultimately increases the likelihood of following best practices. Furthermore, this representation of healthcare situations has come to serve as a primary research tool and a means by which increased patient safety can be integrated and facilitated in practices. As there are still very few educational pathways for Simulation careers, Healthcare Simulation Conferences like IMSH, INACSL, and SimGHOSTS are the best place to connect with and learn from peers.
To help paint the picture of how Simulation in Healthcare is truly improving the industry, first imagine a newly designed commercial airplane model. Once this plane has been fully designed and constructed, would testing the model’s efficiency by sending passengers aboard the aircraft to a particular destination be a good idea? No thanks! Instead, the airline would run trials simulating real flight experiences to ensure that transportation aboard the plan would be safe. Similarly, Clinical Simulation is the “trial run” healthcare professionals can now take before transitioning to real-life patient care.
How does the Healthcare Simulation methodology work? The process begins in a fully immersive scenario where a manikin typically acts as the patient. Usually, moulage medical makeup (such as a burn wound) is applied to the medical simulator to provide for the most realistic patient presentation. While being wirelessly controlled by a Healthcare Simulation Educator during the experiential scenario, the learner (students or professionals) is expected to perform all necessary practices or procedures on the patient simulator. Laerdal, CAE Healthcare, and Gaumard are the primary manufacturers of these high-fidelity simulators.
Then, as the scenario participants manipulate the human patient simulator and their healthcare environment, the actions and results are digitally streamed live to other learners through audiovisual debriefing systems like those from EMS SimulationIQ, B-Line Medical, KBPort, or Level 3 Healthcare (Distributor of SIMStation in the US).
The purpose of this video stream is also so that a recording is available for playback during the clinical simulation debriefing process. Being able to recap performances is vital to the overall learning process, as this analytical conversation helps to equally address errors and highlight success. Like a coach debriefing the replay footage with their team after the game to provide better, experiential reminders of specific player actions and areas for improvement. However, the video is rarely used as only a specific teaching moment – but rather for the benefit of a facilitated discussion to provide learners with an opportunity to self-educate to new and better understandings.
Each of these learning experiences has the opportunity to be customized to address the needs of the learner for professional. Thus, Healthcare Simulation can accommodate a wide range of learners, from beginner-level learners looking to build “muscle memory” to expert professionals needing to master a new technology or piece of equipment needed for a complex procedure.
Therefore, from Surgeons to Emergency Medical Services personnel, this technology has the ability to greatly impact the entire field of healthcare regardless of specialty. While realistic healthcare simulations are drastically improving professional readiness, the technology requires that Healthcare Simulation Technology Specialists be on-hand to make sure that the components of the simulation’s hardware and software are performing correctly. Thus, not only is simulation adding to the experience and skill of healthcare professionals, but this method of learning is also creating additional healthcare careers and marking the expansion of the unique field of simulation which takes place after digital didactic learning like that from a 3D Anatomy App.
LPBD Tool Box
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Saving The Smaller Practice
During the last six months a treacherous pattern has emerged, with those doctors who might have found themselves in a smaller practice, or have purposely designed a small practice.
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First Things First
First Things First-Setting the Stage for Private Practice Affluence
This unique workbook with audio CD contains several crucial aspects of powerful private practices, which are overlooked by veterans and new practitioners alike, including:
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Getting To Yes
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“Getting to YES! – A No BS Report of Findings and Game Plan”,
I will show you precisely how to reorient your procedures step
by step, so this becomes the MOST LOOKED FORWARD TO visit
and NOT the most dreaded patient encounter of every practice day.
I will personally walk you through how to sit one on one, with
even the most difficult patient, and simply explain what’s in their
best interest, and how to review finances, office policies and
procedures, to obtain the best patient compliance and clinical
results possible, in an honest manner.
I WON’T give you universal scripts, but instead teach you how to
achieve the best results, while being COMPLETELY OPEN with your
patients from the very first contact with your office.
I have been teaching this approach to my colleagues for over 33 years,
first by being a GREAT clinician!
This is straightforward and BRUTALLY HONEST, (definitely rated R!).
You will learn the concepts of integrated systems, tools, and
proper staff duties that run on a “Perfect Practice Platform”.
After learning this step by step system, you will approach every
patient with dignity and professionalism, NOT a BUNCH of BS!
You will feel better about yourself knowing you have presented
only the best possible guidelines for your patients’ journey back to health.
And, GET PAID like a healthcare professional should!
…PLUS, with THIS System you’ll see for yourself how powerful coaching can expand
your practice and develop executive skills for today’s new challenges!
DCs, MDs, RNs & PTs around the world tell me our systems are the easiestand
most cost effective way to bring fresh ideas, along with time
tested principles of success and prosperity to you for far less than
the cost of a single new patient/month
Giant Steps To Success
Do you really know what the difference is between a job, and a fabulous private practice that produces enduring personal and financial freedom?
Are you on track today to really create the life you dreamed of as a student?
Do you have a step-by-step GAME PLAN to accumulate real wealth?
- Are you on track right now to have seven figures plus in the bank (not stocks or schemes) with little or no debt?
- Do you know how to turn just 9 MORE OVs/week and smart marketing into millionaire territory?
Sadly for too many in private health care today the answers are no!
Well, now there is a real workable plan to help you reach these goals in 10 years or less!
This Audio CD and Workbook was written by Dr. John Hayes, Jr., to be a comprehensive guide to life long affluence, personal freedom and financial independence for Private Practice Owners. Dr. Hayes has a No Bull approachto practice and indeed life you’ll find refreshing. Specifically, he shows you EXACTLY how to accumulate seven figures cash in real, interest bearing savings in ten years or less.
He first discusses the attitudes and mindsets, and then gives you a step by step guide to real world production
and savings that if done consistently produces measurable wealth.
Even smaller offices can follow this staring today, and the bigger your practice the more enormous immediate potential.
This is a real, no BS path to wealth creation, personal and financial freedom that works in any economy.
This special offer includes the complete workbook as well as the Audio CD and Transcript with a step-by-step no nonsense system to help you become financially independent (Cash Based) in 10 years or less.
One of the most effective practice development strategies is consistently asking your best patients and your community at large for direct patient referrals.
And it’s no secret, directly referred patients are most often motivated to follow your advice and are MOST willing to pay directly to get their health back!
Unfortunately, many practice owners find this one of the most difficult parts of marketing a private practice themselves.
There is a better way! Using our system of internal and community based themes on a regular basis puts excitement and energy back into what can become daily drudgery.
In this step by step system, we personally guide you through an annual theme based marketing calendar that will energize your staff, and get your entire practice excited to tell everyone they know about YOU! These are the same timeless, off-line systems used for over 30 years.
Many cost little to implement, and are easy to use. These are as good now as ever before. It’s only Recently been re-released after 2 years as a Members ONLY Product.
NONEof these have ever been returned or refunded, it’s that good!
Practice By Design-This contains the entire Weekend Training
Presented By Dr. John P Hayes Jr. And the Perfect Practice Web Team, along with: George Youssef, Author of “The Keys to Implementation of Practice by Design”, Howard Stone, Author of “Too Young To Retire”, and very special guests that will blow you away This weekend was an EXPERIENCE unlike any other anywhere!
Now, you can experience it too! Just look at everything!
* Straight talk, NO BULL approach to Personal and Professional Fulfillment and Systematic Growth and development in a fun, relaxed atmosphere.
* How to insure prosperity well into the next decade using modern tools and systems.
* The complete elements of Practice by Design.
* Critical steps you must take now to have the personal and professional life you have always wanted (and deserve!).
* How to Design Your Perfect Practice with linked systems, and stay on target.
* Bulletproofing your marketing and promotion
* Effectively attracting and managing cash cases.
* Get rid of Insurance Nightmares once and for all!
* The True Meaning of Financial Independence. It’s not what you think.
* Lifestyles of Perfect Practice Doctors. This can be you too.
* The ONLY Sure Steps to continued Success in Private Practice
* Downshifting for maximum performance
Time Efficient Consultations and Exams and Compliant Report of Findings that work…
Time Efficient Consultations and Exams and Compliant Care Plans that work are the big three essential to master procedures in any office. This classic was filmed live at the end of a very busy PT/DC day but the gems presented are applicable to ANY private practice emplying spine care.
This is also where many potential medico-legal problems arise, as well as major reasons patients fail to follow your advice.
How do you do these right? Well, our office team demonstrates precise examples of these on this 30 plus minute session.
We break it down, so your staff can learn their roles too. This DVD was professionally filmed and mastered, in my office. It’s as real as it gets, We filmed at the end of a regular day, first take, just like similar exams earlier that day. (I even left in the giggles!) I even show you how great staff will be a huge asset in patient education, as well as transcription of data, follow through and lots of “gems”.
See if you can find them all.
Starting with a consultation format that has brought me phenomenal success, for over 30 years, I next walk you through our Pre-Exam, done with the staffing systems and tools we teach. I next perform an EM Compliant exam on a patient with a suspected disc herniation. Finally, I will walk you through a report visit, done very quickly showing you how we handle informed consent, patient responsibilities and terms of acceptance.
If you miss these key points the first time around, go back again and again.
Whether you are just a student or a seasoned veteran, there is something here for every DC, PT, MD and anybody else doing musculoskeletal and related care.
So, add this to your training library while you can and use it again and again!
Living & Practicing by Design
This story begins with my not so unique fascination of what makes things work, most especially human beings. In reality, mostly how we, as physicians and healthcare teams of all disciplines help fix them when they break.
Why have I, and those who follow the systems we design and advocate the lifestyle choices we choose been so successful at this?
Because it’s not just healers knowledge, but also everything about us that patients sense, trust and embrace.
Learn much more about why our approach to practice is liberating and highly profitable.
LPBD was Nominated for the Evvy Award!
Get Yours HERE on Amazon
This book, now in it’s second edition is deliberately small, concise and to the point.
This is precisely why the first edition achieved bestseller status for self published books quickly.
It’s ONLY intent is to provide the reader with a good primer about the various types and causes of peripheral neuropathy. The reason for this is quite simple.
We find many patients as well as healthcare professionals have difficulty navigating effective neuropathy and chronic pain treatment options.
Neuropathy is not a one-size-fits-all disorder. Peripheral neuropathy can be caused by or is a manifestation of many different underlying conditions. Unfortunately, even well-intentioned physicians are not aware of this. And this is a critical fact because rarely is drug only therapy effective in peripheral neuropathy and many forms of chronic pain.
More importantly however we tell the story of actual case studies from our clinics. We also talk about the various treatment options that peripheral neuropathy patients now have.
We discuss laser, LED, manual therapies and various neuro-simulation techniques as well as nutritional components that are proving to be promising, and supported by research. For the science minded or health care professional reader, we also provide an introduction for physicians, as well as literature references were applicable.
Much more detailed information about self-care, diet, lifestyle changes etc. is contained in our 2012 edition of “I Beat Neuropathy! Getting Your Life Back on Track”
We thank you and wish you the best along your journey back to health!
Get Yours HERE on Amazon
I Beat Neuropathy
I Beat Neuropathy was written to be an “owners manual” of sorts for patients and their loved ones who suffer from peripheral neuropathy and other forms of chronic pain like shingles, cancer and long standing injuries. It’s full of lifestyle and and do it for yourself recovery and home treatment tools. But there is way more to the story.
When I first got the idea to write Beating Neuropathy my first book while walking the streets of Nantucket I had no idea it would become a best seller. But what I did know is that it would be neuropathy patients that would propel change and awareness and not necessarily professionals.
To a point, I was wrong. It turns out that I have had so many caring professionals come forward to join my quest I am honored by their tireless dedication to helping patients in often innovative, “outside the box” ways. But like anything else, some have jumped on the neuropathy treatment “bandwagon” with little training or expertise. This concerns me greatly. These are not our clinicians.
You see neuropathy is not a one size fits all disorder. Some cases are extraordinarily complex, and often difficult to treat. Fortunately, more patients are now much more straightforward to treat and manage, some exclusively with good home care programs armed with the knowledge we have gained in our clinics.
But the most exciting thing right now is almost always we are able to improve our patient’s quality of life, often dramatically. Let “I Beat Neuropathy” be your guide too!