Associate Professor Medical College of Wisconsin Milwaukee, Wisconsin
The National Neuropsychology Network (NNN) was launched in 2019 with goals of developing technology infrastructure to facilitate widespread data harmonization and aggregation across diverse clinical settings. Since its inception, the NNN has developed and revised its automatic data capture software programs to increase clinical assessment efficiency while simultaneously aggregating item-level NP data for advanced psychometric analyses. The Structured History Protocol for Neuropsychology (SHiP-NP) gathers relevant NP history and self-report data directly from patients and provides useful outputs to facilitate the neurobehavioral exam. Along with Pearson’s Q-Interactive (QI) software, the NNN System for Acquisition of Item Level Observations and Responses (SAILOR) can apply computer/iPad methods to record patient responses, automatically score the most widely used NP tests, and generate easy-to-use outputs. In preparation for broader expansion of the NNN technologies beyond its four founding centers to outside sites, this workshop will discuss the development, methodology, user interface, and contents of the NNN technologies, and will review initial findings from our multi-center work to exemplify the implications of this collaborative knowledge and resource sharing for advancing clinical NP practices in the future.
Learning Objectives:
Discuss the overarching goals of the NNN and the implications of using collaborative data aggregation as a means for advancing clinical neuropsychology as a field.
Describe the methodology and clinical utility of the SHiP-NP for capturing patient-reported demographic and history variables relevant to the neurobehavioral exam.
Identify the common neuropsychological tests and additional digital features of the SAILOR and QI for enabling clinical assessment efficiency and aggregating item-level data at the point of testing.
