Abstract: A clinical documentation improvement (CDI) smart scoring method may include predicting, via per-condition diagnosis machine learning (ML) models and based on clinical evidence received by a system, a probability that a medical condition is under-documented and, via per-condition documentation ML models and based on documentation received by the system, a probability that a medical condition is over-documented. The under- and over-documentation scores are combined in view of special indicators and queryability factors, which can also be evaluated using ML query prediction models, to generate an initial CDI score. This CDI score can be further adjusted, if necessary or desired, to account for factors such as length of stay, payer, patient location, CDI review timing, etc. The final CDI score can be used to prioritize patient cases for review by CDI specialists to quickly and efficiently identify meaningful CDI opportunities.

Abstract: A clinical documentation improvement (CDI) smart scoring method may include predicting, via per-condition diagnosis machine learning (ML) models and based on clinical evidence received by a system, a probability that a medical condition is under-documented and, via per-condition documentation ML models and based on documentation received by the system, a probability that a medical condition is over-documented. The under- and over-documentation scores are combined in view of special indicators and queryability factors, which can also be evaluated using ML query prediction models, to generate an initial CDI score. This CDI score can be further adjusted, if necessary or desired, to account for factors such as length of stay, payer, patient location, CDI review timing, etc. The final CDI score can be used to prioritize patient cases for review by CDI specialists to quickly and efficiently identify meaningful CDI opportunities.

Abstract: A clinical documentation improvement (CDI) smart scoring method may include predicting, via per-condition diagnosis machine learning (ML) models and based on clinical evidence received by a system, a probability that a medical condition is under-documented and, via per-condition documentation ML models and based on documentation received by the system, a probability that a medical condition is over-documented. The under- and over-documentation scores are combined in view of special indicators and queryability factors, which can also be evaluated using ML query prediction models, to generate an initial CDI score. This CDI score can be further adjusted, if necessary or desired, to account for factors such as length of stay, payer, patient location, CDI review timing, etc. The final CDI score can be used to prioritize patient cases for review by CDI specialists to quickly and efficiently identify meaningful CDI opportunities.

Abstract: A clinical documentation improvement (CDI) smart scoring method may include predicting, via per-condition diagnosis machine learning (ML) models and based on clinical evidence received by a system, a probability that a medical condition is under-documented and, via per-condition documentation ML models and based on documentation received by the system, a probability that a medical condition is over-documented. The under- and over-documentation scores are combined in view of special indicators and queryability factors, which can also be evaluated using ML query prediction models, to generate an initial CDI score. This CDI score can be further adjusted, if necessary or desired, to account for factors such as length of stay, payer, patient location, CDI review timing, etc. The final CDI score can be used to prioritize patient cases for review by CDI specialists to quickly and efficiently identify meaningful CDI opportunities.

Abstract: A real time medical communication system for sending Notifications of medical Alerts includes a data translation layer for receiving real time medical data from one or more sources via a network and an Alerts engine. The Alerts engine may include a message processing module including an entity extraction module configured to extract entities from the real time medical data; and a fragment generation module configured to define fragments comprising events of interest for defining one or more medical Alerts. The Alerts engine may further include an Alert generation module that may include fragment query and evaluation modules for analyzing received real time medical data for defined fragments and generating one or more medical Alerts therefrom. A Notification module may also be provided for sending Notifications of Alerts to users.

Abstract: A clinical documentation improvement (CDI) smart scoring method may include predicting, via per-condition diagnosis machine learning (ML) models and based on clinical evidence received by a system, a probability that a medical condition is under-documented and, via per-condition documentation ML models and based on documentation received by the system, a probability that a medical condition is over-documented. The under- and over-documentation scores are combined in view of special indicators and queryability factors, which can also be evaluated using ML query prediction models, to generate an initial CDI score. This CDI score can be further adjusted, if necessary or desired, to account for factors such as length of stay, payer, patient location, CDI review timing, etc. The final CDI score can be used to prioritize patient cases for review by CDI specialists to quickly and efficiently identify meaningful CDI opportunities.

Abstract: A real time medical communication system for sending Notifications of medical Alerts includes a data translation layer for receiving real time medical data from one or more sources via a network and an Alerts engine. The Alerts engine may include a message processing module including an entity extraction module configured to extract entities from the real time medical data; and a fragment generation module configured to define fragments comprising events of interest for defining one or more medical Alerts. The Alerts engine may further include an Alert generation module that may include fragment query and evaluation modules for analyzing received real time medical data for defined fragments and generating one or more medical Alerts therefrom. A Notification module may also be provided for sending Notifications of Alerts to users.

Abstract: A clinical documentation improvement (CDI) smart scoring method may include predicting, via per-condition diagnosis machine learning (ML) models and based on clinical evidence received by a system, a probability that a medical condition is under-documented and, via per-condition documentation ML models and based on documentation received by the system, a probability that a medical condition is over-documented. The under- and over-documentation scores are combined in view of special indicators and queryability factors, which can also be evaluated using ML query prediction models, to generate an initial CDI score. This CDI score can be further adjusted, if necessary or desired, to account for factors such as length of stay, payer, patient location, CDI review timing, etc. The final CDI score can be used to prioritize patient cases for review by CDI specialists to quickly and efficiently identify meaningful CDI opportunities.

Abstract: An embodiment of the invention provides a system that enables financial services companies to manage and track information about a sales force. The system includes components for managing distributors information, for validating and tracking licenses and credentials, for creating customized contracts, and for maintaining compensation structures. The system allows for configuring compensations, providing financial services companies a toolkit for creating and modeling their complex commission schedules used to compensate their sales force. The system also provides modeling tools for agreements and contracts between a financial services company or provider and the distributors who sell products. The system has a multi-component architecture comprising multiple modules, multiple data processing engines, a backbone and multiple data sources. The processing modules carry out information processing using one or more data processing engines.

Abstract: A real time medical communication system for sending Notifications of medical Alerts includes a data translation layer for receiving real time medical data from one or more sources via a network and an Alerts engine. The Alerts engine may include a message processing module including an entity extraction module configured to extract entities from the real time medical data; and a fragment generation module configured to define fragments comprising events of interest for defining one or more medical Alerts. The Alerts engine may further include an Alert generation module that may include fragment query and evaluation modules for analyzing received real time medical data for defined fragments and generating one or more medical Alerts therefrom. A Notification module may also be provided for sending Notifications of Alerts to users.

Abstract: A real time medical communication system for sending Notifications of medical Alerts includes a data translation layer for receiving real time medical data from one or more sources via a network and an Alerts engine. The Alerts engine may include a message processing module including an entity extraction module configured to extract entities from the real time medical data; and a fragment generation module configured to define fragments comprising events of interest for defining one or more medical Alerts. The Alerts engine may further include an Alert generation module that may include fragment query and evaluation modules for analyzing received real time medical data for defined fragments and generating one or more medical Alerts therefrom. A Notification module may also be provided for sending Notifications of Alerts to users.

Abstract: A system provides a way to manage agreements that institutions such as financial services companies have with distributors who sell their products. Each distributor has a plurality of sales representatives that earn commissions for selling such products. The commissions earned and any other constraints imposed on the sales representatives may be defined within a selling agreement. The system can generate each selling agreement utilizing a set of components representative of the type of agreement formed between the institutions and the distributor. The components of each selling agreement contain an associated rule set that enables a configuration engine to generate an appropriate document. The system also contains a set of regulatory conditions for each sale made by the sales representatives. The system may be utilized to process sales transaction data to ensure that selling agreement terms are followed and that regulations for each sale are satisfied.

Abstract: A real time medical communication system for sending Notifications of medical Alerts includes a data translation layer for receiving real time medical data from one or more sources via a network and an Alerts engine. The Alerts engine may include a message processing module including an entity extraction module configured to extract entities from the real time medical data; and a fragment generation module configured to define fragments comprising events of interest for defining one or more medical Alerts. The Alerts engine may further include an Alert generation module that may include fragment query and evaluation modules for analyzing received real time medical data for defined fragments and generating one or more medical Alerts therefrom. A Notification module may also be provided for sending Notifications of Alerts to users.

Abstract: An embodiment of the invention provides a system that enables financial services companies to manage and track information about a sales force. The system includes components for managing distributors information, for validating and tracking licenses and credentials, for creating customized contracts, and for maintaining compensation structures. The system allows for configuring compensations, providing financial services companies a toolkit for creating and modeling their complex commission schedules used to compensate their sales force. The system also provides modeling tools for agreements and contracts between a financial services company or provider and the distributors who sell products. The system has a multi-component architecture comprising multiple modules, multiple data processing engines, a backbone and multiple data sources. The processing modules carry out information processing using one or more data processing engines.

Abstract: A real time medical communication system for sending Notifications of medical Alerts includes a data translation layer for receiving real time medical data from one or more sources via a network and an Alerts engine. The Alerts engine may include a message processing module including an entity extraction module configured to extract entities from the real time medical data; and a fragment generation module configured to define fragments comprising events of interest for defining one or more medical Alerts. The Alerts engine may further include an Alert generation module that may include fragment query and evaluation modules for analyzing received real time medical data for defined fragments and generating one or more medical Alerts therefrom. A Notification module may also be provided for sending Notifications of Alerts to users.

Abstract: A real time medical communication system for sending Notifications of medical Alerts includes a data translation layer for receiving real time medical data from one or more sources via a network and an Alerts engine. The Alerts engine may include a message processing module including an entity extraction module configured to extract entities from the real time medical data; and a fragment generation module configured to define fragments comprising events of interest for defining one or more medical Alerts. The Alerts engine may further include an Alert generation module that may include fragment query and evaluation modules for analyzing received real time medical data for defined fragments and generating one or more medical Alerts therefrom. A Notification module may also be provided for sending Notifications of Alerts to users.

Abstract: A real time medical communication system for sending Notifications of medical Alerts includes a data translation layer for receiving real time medical data from one or more sources via a network and an Alerts engine. The Alerts engine may include a message processing module including an entity extraction module configured to extract entities from the real time medical data; and a fragment generation module configured to define fragments comprising events of interest for defining one or more medical Alerts. The Alerts engine may further include an Alert generation module that may include fragment query and evaluation modules for analyzing received real time medical data for defined fragments and generating one or more medical Alerts therefrom. A Notification module may also be provided for sending Notifications of Alerts to users.

Abstract: A real time medical communication system for sending Notifications of medical Alerts includes a data translation layer for receiving real time medical data from one or more sources via a network and an Alerts engine. The Alerts engine may include a message processing module including an entity extraction module configured to extract entities from the real time medical data; and a fragment generation module configured to define fragments comprising events of interest for defining one or more medical Alerts. The Alerts engine may further include an Alert generation module that may include fragment query and evaluation modules for analyzing received real time medical data for defined fragments and generating one or more medical Alerts therefrom. A Notification module may also be provided for sending Notifications of Alerts to users.

Abstract: An embodiment of the invention provides a system that enables financial services companies to manage and track information about a sales force. The system includes components for managing distributors information, for validating and tracking licenses and credentials, for creating customized contracts, and for maintaining compensation structures. The system allows for configuring compensations, providing financial services companies a toolkit for creating and modeling their complex commission schedules used to compensate their sales force. The system also provides modeling tools for agreements and contracts between a financial services company or provider and the distributors who sell products. The system has a multi-component architecture comprising multiple modules, multiple data processing engines, a backbone and multiple data sources. The processing modules carry out information processing using one or more data processing engines.

Abstract: A method and apparatus for consolidating net-pay and debt management of a sales representative or sales team is presented. A party associated with the sales representatives may obtain debts and specify rules on payment of those debts which can be tracked back to the domain (e.g., agreements, rules, sale item, etc.). The ledger items created for that distributor by the commission engine are typically processed to distribute payments into accounts specified by the distributor and to pay debts obtained by the distributor. Available money may be split into various methods of payments for a distributor. These splits can be tracked by adding various constraints. The system allows the user to model the payment rule/constraints. Payment splits support pay-outs to alternate payee from funds of a distributor. The distributor may specify deduction rules which can be applied to the distributors earning to facilitate deductions for items.