Users only need to interact with a single vendor, AI.Measures. This streamlines the process of purchasing and administering tests and increases efficiency in the user workflow.

Instruments are provided on a fee-per-administration-bundle basis. When considered in aggregate across comparable domains of evaluation, this fee is often less than the cost of currently-used (legacy) instruments.

The informant-report scales were developed and validated for use with children ages 2-60. All scales maintain strong psychometric properties and good coverage of key domains relevant to patients and families while reducing rater burden. The instruments are functionally equivalent to existing commonly-used measures.

Nationally-representative norms were developed using the most advanced norming methods. This ensures maximum sensitivity to deviations from neurotypical development, helping clinicians determine whether a domain or sub-domain of neurobehavioral functioning may be outside of expectation or when, during the course of treatment, the patient’s score becomes more consistent with the normative range.

Instruments are selected by users to tailor assessment to each individual. A single online system administers, scores, and reports results for each measure. This has significant benefits for both users and the individuals being assessed, as informants can complete a set of measures through the system with uniform presentation and user interface and users can view all results in an easy to view format.

To optimize the user workflow, the platform automatically generates a breakdown of measure results in tables and figures. Additional text provides interpretive guidance and possible recommendations. Information can then be selected by the user for reporting. All selected information is collated into a report for export.

The AIM system allows users to select key results for outside communication with other stakeholders, including providers and individuals and families being assessed.

Scores are converted to growth scale values (person-ability estimates) to maximize sensitivity to change. Attribute-adjusted growth is also provided to display change during behavioral intervention relative to expectation given the individuals characteristics.

Longitudinal monitoring functions within the AIM system automatically detect reliable change for each measurement. Reliable change detection enables rationale clinical management changes based on assessment data.

AI.Measures provides results in a format that allows clinicians to rapidly evaluate cross-sectional (single timepoint) results by domain, displaying the pattern of total and subscale scores. A separate longitudinal monitoring tab displays progress across the intervention period by domain.

The parent/caregiver and clinician/educator-completed assessments map to specific intervention targets. As part of the treatment or education plan building process, the user has the ability to select and edit short- and long-term intervention targets. Once selected, the user has the option to build teaching plans using pre-specified options to increase efficiency and provide clear documentation of assessment-driven intervention.

For behavioral intervention practice, users have the option to complete a tool that algorithmically-integrates individual characteristics with research evidence to identify intervention intensity and optimize the approach to treatment. The AIM Dose and Strategy Tool includes the only algorithm for determining intervention intensity that is derived from quantitative review on the research literature, including more than 100 behavioral intervention studies with more than 9,000 participants.