Abstract: The invention relates to a method for a remote presentation between a first terminal (100) and at least one second terminal (200, 200?) connected via a network, including the steps of: generating (20) events during an action of a user on one of the peripherals of the first terminal, and sending said generated events to a machine controller (110) of the first terminal. The invention is essentially characterized by also including the steps of: sending (30) said generated events to a web server (300); and sending (40) said events from said web server (300) to at least one machine controller among the machine controller (210) of said second terminal (200) and the machine controller (410) of a video server (400), the configuration of which is compatible with that of the first terminal (100).

Abstract: Timely projections of product sales for a reporting time period are obtained by combining actual sales data received from reporting stores and estimated sales data for non-reporting stores. The projections are adjusted to account for trailing data, which may be reported after the end of the subject time period.

Abstract: Systems and methods for determining the present status of at least one occupancy of one or more individuals based on one or more occupancy data sources are described. The techniques include obtaining the at least one occupancy of said one or more individuals from said one or more sources; computing a score of said at least one occupancy by a computer processor based on the currency and the relative trustworthiness of said one or more sources; and determining said present status of said at least one occupancy based on said computed score. The techniques can also include presenting the at least one occupancy in a user readable format.

Abstract: A method and system of predicting market information includes the steps of receiving first data, forecasting further data based on the first data, receiving second data and comparing the further data with the second data, and creating an adjustment factor to account for any difference between the further data and the second data.

Abstract: A method of payment using tokens issued by a third party comprising the steps of: a. A transaction management unit receives a request to perform a service for which payment with tokens is required; b. The management unit checks whether there are yet unused tokens available; If an unused token was found, go to step (c); If there are no available tokens, then indicate that, then END; c. The management unit requests information on an available token from a database. The status of the used token is changed to “used”; d. During the subsequent transaction, the management unit sends information relating to the token now used. A system for managing and monitoring the use of tokens, comprising: a. a transactions management unit using tokens, wherein the unit is activated when a local user requires to perform a service for which payment using tokens is required; b. a tokens database which includes information on tokens acquired from the third party; c.

Abstract: Systems and methods for product level projections of pharmacy prescriptions within product therapy classes are provided. Average wholesale dollar sales amounts are obtained or estimated at channel/outlet/product-therapy levels. All of the average wholesale dollar sales amounts are converted to prescription data at channel/outlet/product-therapy levels using a correlation function. The correlation function is derived by correlating samples of total prescription data where available with corresponding average wholesale dollar sales amounts.

Abstract: In one arrangement, a method for estimating sales of a particular type of item by a first entity through a first channel versus sales of the particular type of item by the first entity through a second channel.

Abstract: Techniques of the described subject matter employ a break down algorithm in which a population of individuals is broken down into segments that have a greater number of individuals than a threshold minimum. Information on aggregated individuals may then be used to accomplish a variety of tasks, such as consumer purchasing preferences, market data analysis, sales force allocation, etc., without revealing the specific identity of any individuals or permitting others to determine, from the data, the identity of any individuals.

Abstract: Systems and processes for assembling de-identified patient healthcare data records in a longitudinal database are provided. The systems and processes may be implemented over multiple data suppliers and common database facilities while ensuring patient privacy. At the data supplier locations, patient-identifying attributes in the data records are placed in standard format and then doubly encrypted using a pair of encryption keys before transmission to a common database facility. The pair of encryption keys includes a key specific to the data supplier and a key specific to the common database facility. At the common database facility, the encryption specific to the data supplier is removed, so that multi-sourced data records have only the common database encryption. Without direct access to patient identifying-information, the encrypted data records are assigned dummy labels or tags by which the data records can be longitudinally linked in the database.

Abstract: A method and system of predicting market information includes the steps of receiving first data, forecasting further data based on the first data, receiving second data and comparing the further data with the second data, and creating an adjustment factor to account for any difference between the further data and the second data.

Abstract: A system and method for identifying transactions relating to a single customer in a data set received from a plurality of outlets (402), such that one patient's (404) pharmaceutical prescription data may be linked (406) to represent the entire pharmaceutical purchases of said patient is disclosed (414).

Abstract: Timely projections of product sales for a reporting time period are obtained by combining actual sales data received from reporting stores and estimated sales data for non-reporting stores. The projections are adjusted to account for trailing data, which may be reported after the end of the subject time period.

Abstract: Processing arrangements and methods are provided for the automated decoding or translation of information in healthcare data records, which are coded in a non-standardized or varying formats. A data record which contains information, a portion which is recognized and another portion of which is new, is decoded or translated using a statistical mapping rule. The mapping rule assigns a most likely translation value to the information based on the recognized portion of the information. The statistical mapping rules are established by analysis of a set of previously decoded data records.

Abstract: A patient list is provided to a medical provider. The medical provider may be prompted to review particular patients on the list or they may review these patients on their own. In any case, a patient is selected from the list and the provider determines if a medical metric associated with the patient is accurate or complete. The provider may then selectively enter self-report data concerning the accuracy or completeness of the medical metric. A provider assessment (e.g., score) is recalculated based at least in part on the self-reported data as well as the data that has already been collected. The re-calculated score may be provided to the medical plan.

Abstract: Projection factors are used to project product sales data from sample retail outlets to the universe of outlets. Weekly forecasts of market conditions and product demand are generated based on the projected product sales data. The projection factors and the weekly forecasts are updated during the course of the forecasted week, for example, daily, as data on actual product sales during the forecasted week is received.

Abstract: Processing arrangements and methods are provided for the automated decoding or translation of information in healthcare data records, which are coded in a non-standardized or varying formats. A data record which contains information, a portion which is recognized and another portion of which is new, is decoded or translated using a statistical mapping rule. The mapping rule assigns a most likely translation value to the information based on the recognized portion of the information. The statistical mapping rules are established by analysis of a set of previously decoded data records.

Abstract: A longitudinal database of de-identified patient healthcare transaction data records linked by longitudinal linking tags (IDs) is provided. A new healthcare transaction data record, which may include alphanumeric identification code attributes, third party attributes and/or demographic attributes, is assigned an linking ID associated with a previous healthcare transaction data record based upon successful comparison of either a designated set of identification code attributes or a designated set of demographic attributes.

Abstract: A patient list is provided to a medical provider. The medical provider may be prompted to review particular patients on the list or they may review these patients on their own. In any case, a patient is selected from the list and the provider determines if a medical metric associated with the patient is accurate or complete. The provider may then selectively enter self-report data concerning the accuracy or completeness of the medical metric. A provider assessment (e.g., score) is recalculated based at least in part on the self-reported data as well as the data that has already been collected. The re-calculated score may be provided to the medical plan.

Abstract: A method of estimating daily sales volume includes calculating a day of the week specific projection factor based on reference sales history data in conjunction with an overlapping sample of current day of interest sales data. A sampling of sales data for a current day of interest is acquired and at least a portion of this data are scaled by the day of the week specific projection factor to determine an estimate of daily sales volume for the current day of interest. The portion of data which is used can be from the intersection of sources providing both reference sales history data and current day of interest data. The method provides for an accurate estimation of current daily sales based on a relatively small sampling of current day sales data. The method can be performed in a computer system coupled to a computer network for acquiring the sales data from a large number of retail points of sale.

Abstract: A method for determining the post-launch performance of a product on a market is provided. The method involves storing, in a database, collected data related to at least one key success factor associated with at least the market performance which is related to said product; storing, in a database, collected data related to unmet needs on said market; storing, in a database, collected data related to the propensity of a decision-maker to choose said product; and using a computer to calculate the future market share of said product based on said collected data, thereby determining said post-launch performance on said market. The method allows improved forecasting of the future performance of a product on a market and provides improved understanding, benchmarking, forecasting and strategic decision-making as regards the future sales of the product in question.