Abstract: Provided herein is technology relating to a function allocation system (FAS) that deploys artificial intelligence models for a connected automated highway (CAH) system and a connected automated vehicle (CAV) system to distribute driving intelligence between the CAV system and the CAH system. The FAS comprises a communication module, a data module, and a computing module. The computing module is configured to analyse scenes using sensing data, determine automated driving function requirements, deploy function allocation methods, and analyse CAH system and CAV system functions. The function allocation methods provide analysis, guidance, and optimization capabilities for sensing, decision-making, and control functions. The FAS allocates automated driving functions to the CAV system and the CAH system based on their respective intelligence levels.

Abstract: Provided herein is an artificial intelligence-based mobile roadside intelligent unit (MRIU) for providing, supplementing, and/or enhancing the control and operation of autonomous vehicles in normal and long-tail scenarios. The MRIU comprises a computing module configured to provide supplemental computation capability for autonomous driving. The MRIU comprises a communication module to communicate and exchange data with a vehicle or a cloud. The MRIU provides prediction, decision-making, and/or control functions for autonomous driving. The MRIU provides edge computing capability for autonomous vehicles to train and operate artificial intelligence-based intelligent driving models in a distributed fashion. Specifically, an edge computing unit conducts data fusion and data feature extraction, provides prediction, formulates control strategies, generates vehicle control instructions, and/or distributes vehicle control information and/or instructions for an autonomous vehicle.

Abstract: Provided herein is technology relating to intelligent transportation systems and automated vehicles and particularly, but not exclusively, to function allocation systems and methods for a connected automated vehicle highway system that provides transportation management and operations and vehicle control for connected and automated vehicles.

Abstract: Tools and techniques are provided for analyzing health care procedure related transactions of a health care entity. The method can include creating a linked data items file, by a transaction analysis computer system, derived from a combination of a charge description master (CDM) file containing CDM data items, an order entry system (OES) file containing OES data items, and a CDM-to-OES cross-reference data file. The linked data items file can be analyzed by reading linked line items, analyzing its CDM data portion, analyzing its OES data portion, and/or comparing the linked CDM data portion to the linked OES data portion for determining similarities or differences between the CDM and OES data portions.

Abstract: Computer-implemented tools, techniques, and algorithms are provided for meeting financial targets in connection with medical procedures (e.g., surgical operations) performed by a healthcare entity. A method for restructuring classification of multiple medical procedures for a healthcare entity may be provided in which medical procedure data including charge related data are collected in association with multiple patient encounters for a medical procedure. A data model is created from the collected data and a predetermined number of procedure charge levels are generated each in association with an acuity resource value range. Each medical procedure is then reclassified into one of the procedure charge levels in accordance with at least one level assignment rule. This reclassification can then be processed to determine whether it results in a predetermined desired data distribution and/or meets financial targets for the medical procedure charge data.

Abstract: Provided herein is technology relating to intelligent transportation systems and automated vehicles and particularly, but not exclusively, to function allocation systems and methods for a connected automated vehicle highway system that provides transportation management and operations and vehicle control for connected and automated vehicles.