Test Measures Library
Built for assessment workflows
LocalScribe for Psychological Testing & Neuropsychology
AI-assisted clinical documentation
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See how LocalScribe works for psychological testing & neuropsychology
Clinical content you type
ADHD eval for college student. long hx of missed deadlines, losing materials, slow task start, drifting during lectures. parent says this has been there since middle school. teacher comments from prior records mention incomplete independent work + careless errors. Rating scales suggest cross-setting inattention/executive concerns rather than isolated test anxiety. CPT-3 pattern fits lapses in sustained attention + inconsistent response control, which matches day-to-day missed details and losing track during longer tasks. testing: cooperative, socially appropriate, fidgeted with sleeve, looked away during longer directions, needed repetition and occasional redirection back to task.
Clinical content you type
Neuropsych consult after concussion. referral q = memory/attention complaints affecting work. pace in daily life is slower and client loses track during multi-step tasks. testing behavior: effort good, pace slow, frustration rose on timed tasks but stayed engaged. RBANS shows intact basic attention but weaker immediate memory and delayed recall than expected, with recognition helping. Trail Making pattern suggests slowed visual scanning/set shifting more than inability to understand task demands. PHQ-9/GAD-7 suggest mood symptoms are relevant and may worsen efficiency, but they do not fully explain the cognitive pattern.
Clinical content you type
Turn completed eval into feedback letter for family + referring therapist. emphasize attention/executive findings, strengths in reasoning and verbal discussion, practical recs for school/work planning, written reminders, chunking, and f/u psychiatry consult. keep it plain language and not overly technical.
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How LocalScribe Helps Assessment Workflows
Testing and neuropsych reports are usually built from interviews, records, observations, score tables, and interpretation notes before the writing even starts. LocalScribe fits that part of the workflow especially well by helping you organize source material into sections, tables, summaries, and follow-up documents without moving the drafting process into a cloud-first tool.
Psychological Testing & Neuropsychology Documentation
Feature focus
Report drafting from real source material
Use LocalScribe to turn intake packets, referral questions, observations, medical records, rating scales, and rough interpretation notes into organized report sections instead of rewriting everything from scratch.
Source material examples
- intake packets = history forms, symptom descriptions, and referral context gathered before writing begins
- record review = school, medical, psychiatric, or prior-evaluation material that needs to be synthesized into narrative form
- behavioral observations = testing-session observations that shape interpretation, validity language, and functional meaning
Feature focus
Custom terminology library
Starter packs for psychological testing and neuropsychology can be expanded with your own report phrasing, shorthand, validity language, and recurring ways of describing findings across domains.
Terminology examples
- PVT = performance validity testing language covering engagement, response consistency, and interpretive caution
- cross-setting pattern = summary wording that links interview, rating scale, observation, and testing findings across settings
- integrated summary = report synthesis language that pulls together history, observations, testing, and functional implications without repeating each section verbatim
Feature focus
Test measures library
The test measures library helps LocalScribe understand batteries, subtests, score types, and interpretation patterns so score tables and findings sections start from real structure instead of generic output.
Measure examples
- RBANS = measure entry with domains, score types, and interpretation notes for memory and attention findings
- CPT-3 = performance-based attention measure saved with the score labels and interpretation language you actually use
- Trail Making Test = timed executive-function measure that can be stored with shorthand, score notes, and practical meaning
Feature focus
Custom writing style
Save the tone and level of technicality you want for different outputs, whether that means formal report prose, cautious interpretive language, or a more readable parent-facing explanation.
Writing-style examples
- report prose = formal narrative language that sounds like a polished evaluation rather than bullet-point notes
- interpretive caution = measured wording when findings are mixed, validity is limited, or conclusions need appropriate restraint
- reader-friendly summary = plain-language explanation for families, referral sources, or handoff documents built from the same evaluation
Feature focus
Templates for full reports and follow-up documents
Create templates for ADHD evaluations, neuropsychological reports, integrated summaries, validity sections, parent feedback summaries, recommendation letters, and other repeat documents built from the same evaluation.
Template workflow examples
- full report template = organized structure for referral question, findings, integrated summary, and recommendations
- partial-report template = narrow template for sections like validity language, findings tables, or integrated summary
- feedback letter = reader-friendly follow-up document built from the completed report for family or referral-source use
Language, Templates & Workflow
Template setup
You set the template structure. LocalScribe drafts to it.
For this kind of work, a partial-report template is often more realistic than trying to show a whole evaluation. You can build smaller templates for the sections that repeat most often, then reuse them across cases.
- Referral Question: AI instruction: State the reason for evaluation and the practical questions the report is meant to answer in one short narrative paragraph.
- Behavioral Observations: AI instruction: Describe engagement, pacing, frustration tolerance, and task behavior in concise clinical prose without falling back on generic testing language.
- Findings Summary: AI instruction: Summarize the main score patterns and explain what they may mean clinically, using the table as support rather than as the whole section.
- Recommendations: AI instruction: End with practical next steps tied to the findings and written for the intended reader.
Workflow fit
Why it fits this workflow
- Draft full reports or only the hardest sections: Some clinicians use LocalScribe for the whole draft once source material is organized. Others use it for only the most repetitive parts such as background synthesis, findings tables, integrated summary, validity wording, or recommendations.
- Turn one report into multiple outputs: A completed evaluation can become a parent feedback summary, referral-source letter, accommodations handout, therapist update, or other follow-up document without starting over from a blank page.
- Local drafting matters more when reports get dense: Assessment reports often contain developmental history, records, observations, scores, and highly specific narrative detail. Local processing changes that privacy conversation by keeping the drafting workflow on the clinician's own device.
Example Partial Report Template
Custom templates combine your preferred section structure with the writing guidance you want used under each header.
1
You name the section
Example: Referral Question
2
You write the instruction
AI instruction: State the reason for evaluation and the practical questions the report is meant to answer in one short narrative paragraph.
3
LocalScribe drafts that part
The output below follows those saved instructions.
Referral Question
AI instruction: State the reason for evaluation and the practical questions the report is meant to answer in one short narrative paragraph.
Behavioral Observations
AI instruction: Describe engagement, pacing, frustration tolerance, and task behavior in concise clinical prose without falling back on generic testing language.
Findings Summary
AI instruction: Summarize the main score patterns and explain what they may mean clinically, using the table as support rather than as the whole section.
Recommendations
AI instruction: End with practical next steps tied to the findings and written for the intended reader.
Example output from those instructions
Example generated report excerpt
Referral Question
The client was referred for evaluation because of longstanding concerns involving attention, organization, and task completion that have affected performance across academic and daily settings.
Behavioral Observations
During the evaluation, the client was cooperative and generally engaged, though efficiency decreased as tasks became longer and more demanding. Mild slowing and occasional loss of task set were observed when sustained attention and working-memory demands increased.
| Measure | Domain | Score Type | Value | Descriptor |
|---|---|---|---|---|
| BRIEF-2 | Working Memory | T-Score | 70 | Elevated |
| Coding | Processing Speed | Scaled Score | 6 | Below Average |
| List Recognition | Memory | Percentile | 50 | Average |
This is the kind of score table LocalScribe can support when the measures and scoring language are already defined in the test measures library.
Findings Summary
The overall pattern suggests reduced executive efficiency rather than a broad weakness across cognitive domains. Tasks that rely on sustained attention, organization, and working memory were more effortful and less consistent, while stronger reasoning and language skills remained available once the client was oriented and engaged.
That kind of section is often more useful than isolated score reporting because it explains how the different pieces of the case fit together.
Recommendations
Recommendations may include external structure for deadlines, smaller task chunks, written reminders, and follow-up consultation around attention and executive-functioning support needs.