A Statistical financial system to value patient visits to healthcare providers allows healthcare providers to optimize their financial outcomes when billing insurance payers for services rendered in the course of patient visits. Commercial healthcare information systems today lack the ability to value these services in advance. Given the complexity of valuing services based on many variables and resource limitations, a predictive valuation provides the user with the information for accurate and timely decision making Using the historical data, the system creates a predictive model of future claims by creating attribute patterns from the data. As new information comes into the system, these attribute patterns are compared to the real-time data in order to create a value for a service and an overall visit. Using the valuation, the system will now be able to prioritize all follow-up tasks. The overall result is a better financial performance for the healthcare provider.

A product evaluation device includes a receiving means for receiving product specifying information for specifying a product attribute, an acquisition means for acquiring designation in formation corresponding to a product attribute specified by the product specifying information from a storage means storing, for each product attribute, a genuine image showing a characteristic part for evaluating whether a product is a genuine product and designation information designating the characteristic part in association with each other, a request means for requesting a user to take a photograph by designating a characteristic part of the product based on the designation information acquired from the storage means and requesting a photographed image obtained by the photographing, and an output means for outputting an evaluation result obtained based on the photographed image provided in response to the request and the genuine image stored in the storage means.

When users of vehicles provide vehicle-related data that are data related to the vehicles to a manager of a processor, the processor determines available services that are services available for the users based on the vehicle-related data, and transmit information about the available services to notification devices usable by the users.

In a vehicle information management system, a maintenance information determination unit determines whether maintenance of a vehicle was carried out at a predetermined maintenance shop based on maintenance history information acquired by a maintenance history information database, and when the maintenance information determination unit determines that the maintenance of the vehicle was carried out at the predetermined maintenance shop, an added value information providing unit provides added value information to appraisal information of the vehicle.

A computing system for generating a list of items predicted to be associated with a candidate user may be provided. The computing system may include a processor in communication with a memory device, and the processor may be configured to generate a predictive possession model, receive personal data associated with the candidate user, predict a first set of items owned by the candidate user, assign a value and a range of predesignated values for each item included in the first set of items, cause the first set of items and their corresponding values to be displayed on a user device of the candidate user, and prompt the candidate user to input confirmation data including one of a confirmation that the first set of items accurately describes a set of actual items possessed by the candidate user and a confirmation that the values corresponding to the first set of items are satisfactory.

In variants, the method for occlusion correction can include: determining a measurement depicting an occluded object of interest (OOI), optionally infilling the occluded portion of the object of interest within the measurement, and determining an attribute of the object of interest based on the infilled measurement.

The disclosure relates collecting feedback from passengers of autonomous vehicles. For instance, that a triggering circumstance for triggering a feedback request has been met may be determined. The triggering circumstance may include a driving event, a presence of other road users, or a trip state. A display requirement and data collection parameters for the feedback request are identified based on the determination. The display requirement defines when the feedback request is displayed and the data collection parameters identify information that the feedback request is to collect. The feedback request is provided for display based on the display requirement and data collection parameters. In response, feedback from a passenger of the autonomous vehicle is received and stored for later use.

A system described herein uses data obtained from a wearable device of a first user to identify a second user and/or to determine that the first user is within a threshold distance of the second user. The system can then access an account of the second user to identify one or more items and retrieve model data for the item(s). The system causes the wearable device of the first user to render, for display in an immersive 3D environment (e.g., an augmented reality environment), an item associated with the account of the second user. The item can be rendered for display at a location on a display that is proximate to the second user (e.g., within a threshold distance of the second user) such that the item graphically corresponds to the second user. The item rendered for display may be an item of interest to the first user.

In variants, the method for occlusion correction can include: determining a measurement depicting an occluded object of interest (OOI), optionally infilling the occluded portion of the object of interest within the measurement, and determining an attribute of the object of interest based on the infilled measurement.

A system is described that generates insights on the consumption or usage behavior of a product by analyzing the real-time usage of the product by one or more users. The product is placed on the measuring device for continuous monitoring of the usage of the product by those one or more users in real-time. The measuring device includes a sensor unit that generates weigh data, motion data, location data, and time consumed data of the product and transmits to a computing device. A communication device records the consumption or usage of the product by a user, along with feedback from the user. The computing device generates insights based on the sensed data generated by the measuring device, and recording and feedback at the communication device. The computing device generates reports—one for the user, and one for a merchant of the product and/or similar products—including respective insights.