Fig 1.
AIPC status page: Aggregates and correlates data from patient longitudinal history, imaging and pathology reports, laboratory results, and clinical studies.
Displays a patient’s historical timeline summary of relevant clinical events. Provides historical trends and progression of key biomarkers.
Fig 2.
The web-based AIPC product suite consists of several components (AIPC Connector, database and applications).
The AIPC Connector is responsible for importing data from various data sources. Imported data (e.g. CSV files, SQL databases, EHR and PACS) are imported from the primary data sources and temporary stored in the Landing Zone. In the Landing Zone data are converted to a uniform data model (FHIR). The AIPC Database can import converted data through an FHIR interface. The data is then made visible to the end user on the AIPC applications in form of Dashboards, MDT reports, radiology images, etc. After decisions for a diagnostic or therapeutic measure have been made, a report can be generated within the AIPC applications for documentation purposes, which can then be sent back to the source system via a shared network file system (electronic health record (EHR).
Table 1.
Case characteristics.
Table 2.
Mean and standard deviation values for total case evaluation times the software vs current method as a function of user.
Table 3.
Survey results of the effect size for comparison of contextual information quality with current method and the software.
Table 4.
Survey results of the effect size for comparison of representational information quality with current method using traditional reports and the software using charts.
Fig 3.
The bar chart shows the time required for a physician to complete the tasks along the prostate cancer screenings pathway.
The tasks were completed once with the software and with current method.
Table 5.
Survey results of the effect size for user satisfaction of current method and the software.