Abstract: A system, method and program product for selecting cohorts for a clinical trial. An infrastructure is described that includes a system for submitting a query; a matching engine for matching the query against patient metadata obtained from a plurality of electronic medical record/electronic health record (EMR/EHR) systems to identify matching patients; a system for requesting applicable EMR/EHR systems to release patient details of a set of matching patients; and a cohort data repository for collecting patient details from the applicable EMR/EHR systems.

Abstract: High speed machine scanning of documents such as checks produces digital check images that are placed in archival storage on mass storage devices for later retrieval. Images and/or documents are automatically reviewed by a machine in order to identify images and/or documents that are of suspect quality. Machine review of suspect images and/or documents provides a reject or accept decision. Only acceptable documents are archived. Accepted documents are formed into large data groups that contain a storage location identification for each individual document within the large data group. An index is stored for each such data group wherein the storage location of each document within the large data group is contained. Digital images are selectively converted to visual images, and these visual images are then reviewed by a human operator. This operator review is used to adjust the machine's accept/reject decision making process, thereby teaching the machine the correct manner of making its accept/reject decision.

Abstract: A digital document image archive and distribution system includes an archive system and a distributed digital document image retrieval system. The system has communication nodes located at an image capture site and at one or more remote archive retrieval sites, these sites forming a communications network operating as a chained client/server network composed of workstation components and a capture site host computer component. An originating remote workstation retrieves a digital document image from the image capture site by creating a transaction file that identifies a digital document image to be retrieved. This transaction file is sent to a remote server workstation whereat a plurality of transaction files are batched by priority. The batched transaction files are transmitted to the capture site workstation whereat the host component retrieves a group of digital document images from archive storage, including the digital document image that is identified by the transaction file.

Abstract: A document imaging system includes means whereby a large number of anomalous condition indicators or flags that define anomalous conditions that may occur as a result of the operation of a document scanner and/or document processor. A computationally efficient subset of flags and flag combinations is defined, and these subsets of flags and flag combinations (system states) are related to a quantitative measure of the quality (degree of suspiciousness) of the related document images, the documents themselves, and units of work that contain a plurality of documents. The machine computation of quality is compared to a human perception of quality, and computational input parameters are adjusted to improve the match of computational quality to the human quality perception, thus teaching the machine to make proper determinations of image and document quality.