Casebook BuilderCasebook Builder empowers users to design any Case Report Form freely and to tailor it at a grianular level. Not only will it let users set up the essentials of any ODM-compliant object in a CRF but also it will save users tons of time and efforts by obviating the need to write a single line of code. With Form Builder, validation, dynamic activation, derivation and automation conﬁguration are merely a few clicks away.
Casebook BuilderStudy Schedule Builder lets study designers set up visits in an intuitive and effortless manner. Users can create visits and corresponding forms within each event easily through drag and drop. Using Study Scheduler, users can meet any complex study design challenges by ﬂexibly building any combinations of forms into the study schedule.
Logic EngineAs the heart of AuroraPrime Construct, Logic Engine drives the entire study design and operation toward automation and self-governance with low or no manual assistance. It helps reduce tons of time in validation, activation, and derivation rendering by generating hundreds of lines of code automatically. It can also assist users in programming rules that can be applicable to multiple scenarios. The intuitive interface and the usage of readable syntax let users create rules easily without any ambiguity.
High Efﬁciency in Study ConﬁgurationThrough componentized, ODM-compliant design, Casebook Builder effectively lowers clinical development cost and increases productivity by reusing and repurposing components.
Easily ExtensibleLogic Engine taps into clinical data collected throughout various phases of trials. With the increasingly rich functionality of AuroraPrime, the system is highly extensible to offer more comprehensive intelligent capabilities that traverse the entire workﬂow from study design to submission.
Low Learning CurveConstruct's intuitive, visual user interface lets study designers conﬁgure highly complex rules and conditions through click-and-point, drag-and-drop. Powerful declarative syntax and plugins streamline the conﬁguration of data validation rules without coding and non-technical users can focus on the study rather than the tool.
Open SystemConstruct adopts ODM-compliant data structure that is fully compliant with industry accepted standards. Construct provides full-ﬂedged APIs that can be used to seamlessly integrate with other mainstream clinical trial management systems.
Low Operating Cost with High Quality ResultIncreased efﬁciency and low learning curve drastically cut back on operating cost. Automated conﬁguration and system administration ensure high quality study design through collaboration while minimizing data validation time and reducing cost.
ODM-Compliant Data StructureConstruct's ODM-compliant data structure promotes efﬁciencies throughout the clinical development process and ensures effective data exchange and seamless interoperability with other systems in full compliance with the industry's leading standards.
Intuitive User InterfaceIntuitive and user-friendly user interface lets you design your study through simple drag-and-drop, letting you get started with little learning curve and meet evolving study requirements with ease.
Study Conﬁguraiton TemplatesYou can jumpstart your study conﬁgurations by importing ODM-compliant study conﬁguration templates and amend your design based on your study protocol.
No-Code Implementation of Logic RulesYou can now implement cross-form ﬁeld activation and complex data validation rules without writing a single line of code. Casebook Designer and Schedule Builder let you create and conﬁgure components in a visual-based, drag-and-drop manner and auto-generate functional logic rules for you.
Reusable ComponentsHighly granular reusable components boost efﬁciency in casebook conﬁgurations and ensures ﬂexibility and scalability to meet study design challenges at any level of complexity.
Plain and Precise Declarative ExpressionsThe Logic Engine constructs rules using plain and precise declarative expressions. Its powerful combination of functions and expressions makes it possible to address a range of use cases using a single line of rule deﬁnition, which signiﬁcantly simpliﬁes and streamlines clinical data validation.