Abstract: Systems and methods for estimating a performance metric based on cohorts are provided. One or more performance metrics with respect to an application are monitored for entities over time. Entities with similar performance metrics are grouped into cohorts. Characteristics of a computing environment for each entity are determined. The characteristics of the entities in each cohort are used to define the characteristics of the cohort. Later, when a new entity inquires about the performance metrics that the entity could expect, the characteristics of the computing environment of the new entity are determined and are used to determine the cohort that the new entity belongs to. The average performance metrics of the entities in the determined cohort can be return to the new entity as the expected performance metrics.

Abstract: A system for validating and updating records, such as medical records, is provided. The system includes a flexible operation and transaction based framework that allows for the handling of a variety of record validation and updating scenarios. The system provides many advanced features related to confidentiality, performance, and auditing. The system may perform one or more operations on the medical records in an order defined by a transaction file in order to achieve a goal such as medical record deduplication. Each operation may take an input one or more input files, output files of previous operations, or one or more medical records. Each operation may generate one or more output files including input data for a subsequent operation, and success or failure files that describe the actions performed by the operation. The success or failure files may also be used by subsequent operations.

Abstract: In order to improve the transfer of studies to a viewing application through a network, a cloud-based system is provided that optimizes the performance of imaging workflows. A client side application receives requests from an image viewing application. If the study is stored locally, the study including objects, are provided to the viewing application locally. Otherwise, the request is provided to the cloud-based system. The cloud-based system may include two processing components, an aggregator, and a retriever. The aggregator may collect the metadata about the study and may provide the metadata to the viewing application. The aggregator receives request for objects (e.g. images) from the viewing application and may priority the retrieval and processing of the requests based on information about the object such as its type, importance, and the metadata associated with the study.