ACT/DB is a client-server database application for storing clinical trials and outcomes data, which is currently undergoing initial pilot use. It stores most of its data in entity-attribute-value form. Such data are segregated according to data type to allow indexing by value when possible, and binary large object data are managed in the same way as other data. ACT/DB lets an investigator design a study rapidly by defining the parameters (or attributes) that are to be gathered, as well as their logical grouping for purposes of display and data entry. ACT/DB generates customizable data entry. The data can be viewed through several standard reports as well as exported as text to external analysis programs. ACT/DB is designed to encourage reuse of parameters across multiple studies and has facilities for dictionary search and maintenance. It uses a Microsoft Access client running on Windows 95 machines, which communicates with an Oracle server running on a UNIX platform. ACT/DB is being used to manage the data for seven studies in its initial deployment.

The paper describes Commander, a prototype computer program designed to help verify the completeness of a computer-based clinical practice guideline built using if -then rules. It also describes the application of Commander to a guideline for childhood immunization. Commander is designed to help identify incomplete rule sets, where there are clinically meaningful conditions to which the guideline does not respond. To allow this, the user defines semantic constraints, in the form of if-then statements, which indicate combinations of conditions which are not meaningful. In an iterative process, Commander takes the guideline rules, together with an increasingly refined set of constraints and helps focus in on any combinations of conditions to which the guideline does not respond. When applied to the clinical guideline for childhood immunization, Commander was able to dramatically reduce the number of potential combinations of conditions for consideration and also identified several areas of incompleteness in the rules.

Background Computer-based clinical decision support (CDS) is an important component of the electronic health record (EHR). As an increasing amount of CDS is implemented, it will be important that this be accomplished in a fashion that assists in clinical decision making without imposing unacceptable demands and burdens upon the provider's practice. Objective The objective of our study was to explore an approach that allows CDS to be clinician-friendly from a variety of perspectives, to build a prototype implementation that illustrates features of the approach, and to gain experience with a pilot framework for assessment. Methods The paper first discusses the project's design philosophy and goals. It then describes a prototype implementation (Neuropath/CDS) that explores the approach in the domain of neuropathic pain and in the context of the US Veterans Administration EHR. Finally, the paper discusses a framework for assessing the approach, illustrated by a pilot assessment of Neuropath/CDS. Results The paper describes the operation and technical design of Neuropath/CDS, as well as the results of the pilot assessment, which emphasize the four areas of focus, scope, content, and presentation. Conclusions The work to date has allowed us to explore various design and implementation issues relating to the approach illustrated in Neuropath/CDS, as well as the development and pilot application of a framework for assessment.

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