Abstract: Systems and methods are provided for generating and implementing data auditing functionality supporting multiple database platforms. A database management computer system can engage a shadow audit module to automate and optimize the implementation of data auditing functionality for multiple database platforms that may be utilized by an enterprise application to record data interactions (e.g., insertions, updates, deletions, etc). The shadow audit module may run generated audit SQL code to create an audit trigger in the selected main data tables. Each audit trigger may be a procedure and/or a flag that is stored in the main data table to run or transmit a signal indicating a change may have occurred on the record indicating the required replication of the modification in the shadow audit data table.

Abstract: Systems and methods for improving central pharmacy-type dispensing operations. In one embodiment, a method can include receiving medication order data associated with one or more patients, generating an order worklist based at least in part on the medication order data, creating one or more medication dispensing queues based at least in part on the order worklist, and facilitating output of at least one or more medication dispensing queues for presentation to a pharmacy.

Abstract: Systems and methods are provided for generating and implementing data auditing functionality supporting multiple database platforms. A computer system may engage a shadow audit module. The shadow audit module may generate audit code, and run the audit code against a main data table to create a corresponding shadow audit data table. The shadow audit module may also run the generated audit code to create one or more audit triggers that are placed in the main data table and are configured to run when a data modification is made to the main data table. The shadow audit module may replicate the data modification in the shadow audit data table when a data modification is made to the main data table and an audit trigger has run.

Abstract: Systems and methods are provided for the operation of a personal healthcare management portal operable to provide multiple users secure access to a patient's healthcare information. A selection of a patient healthcare management portal associated with a patient may be received by an application tier. The application tier may receive authentication information associated with the selection of the patient healthcare management portal associated with the patient. The application tier may determine if the authentication information is associated with a users valid login credentials. The application tier may receive a request to access patient information, wherein the patient information includes at least one of records, forms, or services associated with the patient. The application tier may also retrieve the requested patient information. The application tier may communicate the requested information to a client device from which the selection originated.

Abstract: Systems, methods, and computer-readable media for generating healthcare models based on clinical treatment or diagnostic guidelines and utilizing such models to identify recommended healthcare treatments and/or recommended diagnostics tests or procedures are disclosed.

Abstract: Systems and methods are provided for automatically scheduling patient visits based on information in electronic medical records (EMRs). In one exemplary embodiment, a computer-implemented method for scheduling patient visits based on information in EMRs may be provided and performed by one or more computers associated with a service provider. An EMR for a patient can be evaluated to determine if it contains information indicating a need to schedule a future vising for the patient. Multiple scheduling parameters can be identified in the EMR. A schedule for a healthcare provider can be received, for example by the service provider computer. The schedule of the healthcare provider can be evaluated based on one or more of the identified scheduling parameters. In addition, a suggested appointment time for the future visit for the patient can be identified based at least in part on the evaluation of the schedule.