Abstract: A system for discovering business processes using unsupervised learning is configured to: (a) receive multimodal event data from a plurality of sources, the multimodal event data including a plurality of event instances; (b) associate the multimodal event data with a vector representation, such that the plurality of event instances is represented as a plurality of event vectors; (c) correlate the plurality of event vectors using unsupervised learning to identify one or more processes; and (d) generate a process model script for the one or more processes. A method for automated orchestration of a workflow is also disclosed.

Abstract: A method maximizes the usefulness of resources to be allocated to a class of patients. The method includes the steps of receiving data on a patient. The date is then partitioned. From the partitioned data, a patient factor score calculation is calculated. In addition, a patient illness correlation score is calculated. From the patient factor score and patient illness correlation score, an Ability to Impact score for each patient is generated to identify uses of resources by which the resources will be applied to the patient to maximize the effectiveness of the resources.

Abstract: A method and system for improving care and reducing adverse events and cost by identifying patent care opportunities and integrating them directly into electronic hospital records and the provider's routine workflow. The invention enables clinicians, care managers and users to improve care and efficiency by assembling data from disparate sources, identifying care opportunities and integrating them directly into the EHR system and their routine workflow, while tracking that the recommended action was taken.

Abstract: Systems and methods of exchanging Healthcare Quality Measures (HQM) are disclosed. Healthcare providers can define one or more HQMs by constructing expressions using an expression builder according to a funding organization's requirements. Once a measure is derived, it can be converted to a common HQM data format and exchanged with the organization via an intermediary HQM service. The HQM data can then be converted into the organization's proprietary format. Thus, HQM data exchanges among providers and organizations are simplified.

Abstract: Systems and methods of exchanging Healthcare Quality Measures (HQM) are disclosed. Healthcare providers can define one or more HQMs by constructing expressions using an expression builder according to a funding organization's requirements. The expression builder advantageously allows the Healthcare provider to build measure expressions without the need to know a complex programming language. Once a measure is derived, it can be converted to a common HQM data format and exchanged with the organization via an intermediary HQM service. The HQM data can then be converted into the organization's proprietary format. Thus, HQM data exchanges among providers and organizations are simplified.

Abstract: Systems and methods of exchanging Healthcare Quality Measures (HQM) are disclosed. Healthcare providers can define one or more HQMs by constructing expressions using an expression builder according to a funding organization's requirements. The expression builder advantageously allows the Healthcare provider to build measure expressions without the need to know a complex programming language. Once a measure is derived, it can be converted to a common HQM data format and exchanged with the organization via an intermediary HQM service. The HQM data can then be converted into the organization's proprietary format. Thus, HQM data exchanges among providers and organizations are simplified.

Abstract: Systems and methods of exchanging Healthcare Quality Measures (HQM) are disclosed. Healthcare providers can define one or more HQMs by constructing expressions using an expression builder according to a funding organization's requirements. Once a measure is derived, it can be converted to a common HQM data format and exchanged with the organization via an intermediary HQM service. The HQM data can then be converted into the organization's proprietary format. Thus, HQM data exchanges among providers and organizations are simplified.

Abstract: Methods of aggregating and distributing medical records are presented. Patient data is aggregated from one or more medical providers where the patient data is incomplete with respect to a medical data exchange record (MDER). A data repository, preferrably a third party relative to the providers or a recipient of the data, stores the patient data. When a recipient requests the patient data and is properly authenticated, the patient data is presented to the recipient in standard MDER format. Preferrably, the recipient accesses the data via a limit session link.