Accella Learning, LLC

Medical Learning Company, Inc.

Other

Archetype Technologies, Inc.

Medical Learning Co., Inc./web Simulator

Bryan P Bergeron

Raymond C Kurzweil

Karl Haakonsen

Stas Taraschansky

An intelligent tutoring system can be implemented using filters, predictive modeling, and a knowledge warehouse, which allows content to be dynamically selected for individualized presentation to a learner. Such an intelligent tutoring system can be implemented using a variety of techniques, including polynomial vector equations in modeling, extensible markup language storage formats for presentation data, and a knowledge warehouse with information stored in data cubes.

Instruction based on competency assessment and prediction

Simulation equipment can be integrated into courseware presented to a student using technology which, based on the native output of a system running the courseware, can generate control signals for the simulation equipment. Such signals could then be sent to the simulation equipment without requiring the designer of the courseware to create low level programming code to communicate directly with the simulation equipment itself.

Systems and methods for distributed adaptive simulator training

Individuals can operate processor enabled devices at a high level of performance, even if they have little or no familiarity with those devices, by indirectly operating them through a first processor enabled device. The direct interactions of individuals with a familiar device can be communicated to one or more processors that perform signal processing functions in order to generate control signals that direct the operation of a second, unfamiliar processor-enabled device. In this closed-loop system, individuals can receive real-time feedback on the performance of the second device in a form associated with the operation of the first device.

Systems and methods for indirect control of processor enabled devices

Intelligent tutoring system

A method of displaying an image of at least a portion of a virtual patient including accessing identification of a video file, the video file comprising video data that depicts virtual patient features over a range of the features, determining an offset into the video file and presenting the video image corresponding to the offset.

Morphing patient features using an offset

A method of providing a software application to different network clients from a server including maintaining one or more sets of state data, each set of state data describing the state of an instance of an application, each instance of an application corresponding to one or more network clients, updating the sets of state data in accordance with applications running on one or more computers connected to the server via a local area network and for at least one of the sets of state data generating an interface based on the set of state data and transmitting the generated interface to the corresponding network client(s).

Web simulator

A drinking container for assisting a disabled person in drinking a fluid by reducing the degree of tilt necessary to drain the fluid from the container into the person's mouth comprising a fluid holding vessel having an upper rim and a closed bottom, the upper rim having an opening through at least a sipping region thereof, and a fluid diverter member contiguous with an inner surface and the bottom of the vessel. The diverter member slopes downward substantially from the sipping region of the rim toward an opposing side of the vessel such that when the bottom of the vessel is pivoted upward about the sipping region of the rim, the diverter member compels fluid through the sipping region. The fluid diverter member is preferably wedge shaped. A flow channel preferably extends lengthwise along an outer surface of the fluid diverter member.

Drinking container

A method of simulating an encounter with a virtual patient includes displaying an image of the virtual patient, receiving user selection of an area of the image of the virtual patient, and transmitting signals that associated with the user selected area of the image, the signals being based on the state of the virtual patient.

Virtual patient hot spots

A method includes generating a virtual patient representative of a fictitious medical subject from execution of a simulation application that accesses a domain of medical characteristics and dynamically producing an image of the virtual patient to present to a user based on executing of the simulation application using virtual patient state data. The method also includes updating the state data by interpreting data structures defining selected virtual patient characteristics and controlling rates of changes in virtual patient state data to speed up or slow down evolution of changes in the image of the virtual patient presented to the user.

Growing community of inventors

Brookline, MA, United States of America

Bryan P Bergeron