Abstract: Techniques for dynamically extracting electronic health records are described. Some embodiments provide an Operational Intelligence Platform (“OIP”) that is configured to dynamically extract electronic health record data from a source customer database that represents health records in a hierarchical format, and store the extracted data in a clinical data engine that represents the health records in a manner that logically preserves the hierarchical format while providing a relational access model to the health records. The OIP may extract health-record data in substantially real-time by performing on-the-fly capture and processing of data updates to the source customer database. Such real-time extraction may be performed in cooperation with large scale, batch extraction of records from the source customer database.

Abstract: Techniques for dynamically extracting electronic health records are described. Some embodiments provide an Operational Intelligence Platform (“OIP”) that is configured to dynamically extract electronic health record data from a source customer database that represents health records in a hierarchical format, and store the extracted data in a clinical data engine that represents the health records in a manner that logically preserves the hierarchical format while providing a relational access model to the health records. The OIP may extract health-record data in substantially real-time by performing on-the-fly capture and processing of data updates to the source customer database. During the real-time extraction, the OIP may also process a delay queue comprising a sequence of journal files that store modifications to the source database.

Abstract: Clinical activity network applications are described. Some embodiments provide an Operational Intelligence Platform (“OIP”) that is configured to generate a clinical activity network that uniformly represents actions and data updates occurring in a source healthcare system. Each clinical activity instance associates an action (or activity) with a context, a time, a user, and a patient or other subject. By analyzing collections of clinical activity instances, applications can identify patterns, processes, and relationships within the healthcare setting that would not necessarily be detectable when analyzing data from a single source, such as the source customer database.