A task management system for providing a graphically displayable worklist having one or more rows of work items, one or more of the work items each representing one or more data rows to be worked from one or more application data tables that are not a task object table of the task management system, the task management system comprising a task database having at least one task object, a first dedicated task object in said task database, said first dedicated task object having a second metadata associated therewith for graphically displaying information related to said first dedicated task object, a first view object having a first set of instructions for determining a first plurality of data rows of the one or more application data tables and a second set of instructions for creating a first association between each data row of said first plurality of data rows and said first dedicated task object, and a display generator for using said second metadata in initiating generation of display data representing a display image presenting a worklist, said worklist having a first one or more rows of application data table work items, each of said first one or more rows of application data table work items representing at least one data row of said first plurality of data rows.

Data object access system and method using dedicated task object

A system, method, and computer readable medium for applying one or more information retrieval technologies is disclosed for resolving a query. In one embodiment, an exemplary system generates a response using a language analysis module configured to parse a query into elements. This system can also include a rules engine configured to compare a condition of a rule against the elements, where the rule is configured to perform an action to retrieve information. Further, a response generator coupled to said rules engine receives the rule and retrieves the information for presentation to a querier in a portion of a display that adjusts proportionately to the degree of importance of said information.

Ontology for use with a system, method, and computer readable medium for retrieving information and response to a query

A system and related techniques automatically generate optimized, best-match or sufficient assignments of care providers, such as physicians, nurses or technicians, to a patient based on clinical evidence, documentation, workload, infectious status and other factors. In embodiments, the patient's chart or other clinical record may be accessed by a rules-based engine configured with rules which relate a patient's clinical status and needs to the qualifications, certifications, capabilities and skills of care providers and select the care provider best qualified to service that patient's clinical requirements. The pool of available care providers may for example be ascertained from personnel systems recording staff schedules and estimated workload, while the qualifications of each provider indicating the categories of patient care and support that provider is qualified to provide may be accessed from a provider data store. For instance, nurses or technicians trained or certified in acute, emergency or surgical care may be identified for assignment to high acuity patients, or those presenting special or advanced care demands. According to the invention in a further regard, the provider's potential infectious exposure to other patients or from other sources may be screened to prevent that provider from being assigned to immune-compromised or other patients. Embodiments of the invention may present floor managers with a graphical display of available providers and generated assignments, which in embodiments the manager may override at their clinical discretion. Because patient needs are automatically aligned with provider capabilities, availability and other factors, the errors, oversights and inefficiencies of manual or informal assignment systems are avoided and better health care delivery can be realized.

System and method for automatically generating evidence-based assignment of care providers to patients

An intent guessing system receives partial user queries as they are entered by the user The partial user queries are compared with different intents derived from previously logged queries Guesses are made as to which of the intents are associated with the partial user query The intent guesses are then provided as responses to the user query Features are identified for the earlier logged queries and associated with the derived intents The derived intents and associated features are then used to identify intents for the partial user queries

Automated scheme for identifying user intent in real-time

A computer system and information repository is described for scheduling resources needed to perform service actions. The repository of resource information includes human resource information, reusable resource information, and non-reusable resource information. Each of human resource information, reusable resource information, and non­reusable resource information includes availability information. A scheduling engine associates, based on user input, resource information with task items that need to be completed as part of performing a service action.

Scheduling resources for performing a service

A method of determining and displaying a plurality of tasks to a user in a healthcare environment is provide that includes receiving an order associated with a patient, determining a type of the order, and identifying a task template associated with the order. The method further includes determining if an overriding template exists for the order, linking one of the task template or the overriding template to the order, and associating one or more task records with the linked template. The method also includes determining a plurality of tasks corresponding to the task records, adding the plurality of tasks to a work list, filtering the plurality of tasks on the work list for a patient list based on an attribute of the user and displaying the filtered list to the user.

System and method of automatically determining and displaying tasks to healthcare providers in a care-giving setting

A method of responding to an order placed in a patient's electronic medical record including receiving the order associated with the patient, determining a type of the order, identifying a task template associated with the order, and linking the task template to the order. The method also includes determining if an overriding template exists for the order, linking the overriding template to the order if the overriding template exists, and reacting to the order with a response, wherein the response is one of the following responses: scheduling a task on a work list, adding a row to a flowsheet, adding an educational topic to an educational record associated with the patient, adding a care plan intervention to the patient's electronic medical record, sending a notification, executing a custom programming, or adding a group of text to a discharge instruction associated with the patient.

Brian Stoll

Papers

System and method of automatically determining and displaying tasks to healthcare providers in a care-giving setting

Method for analyzing orders and automatically reacting to them with appropriate responses